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Sample records for factor analysis efa

  1. EXPLORATORY FACTOR ANALYSIS (EFA IN CONSUMER BEHAVIOR AND MARKETING RESEARCH

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    Marcos Pascual Soler

    2012-06-01

    Full Text Available Exploratory Factor Analysis (EFA is one of the most widely used statistical procedures in social research. The main objective of this work is to describe the most common practices used by researchers in the consumer behavior and marketing area. Through a literature review methodology the practices of AFE in five consumer behavior and marketing journals(2000-2010 were analyzed. Then, the choices made by the researchers concerning factor model, retention criteria, rotation, factors interpretation and other relevant issues to factor analysis were analized. The results suggest that researchers routinely conduct analyses using such questionable methods. Suggestions for improving the use of factor analysis and the reporting of results are presented and a checklist (Exploratory Factor Analysis Checklist, EFAC is provided to help editors, reviewers, and authors improve reporting exploratory factor analysis.

  2. EFA Within a CFA Context

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    Phil Ender

    2012-01-01

    As the title implies, EFA within a CFA framework combines aspects of both EFA and CFA. It uses CFA to produce a factor solution that is close to an EFA solution while providing features typically found in CFA, such as, standard errors, statistical tests and modification indices. The presentation includes an example using the -sem- command introduced in Stata 12.

  3. Exploratory factor analysis in Rehabilitation Psychology: a content analysis.

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    Roberson, Richard B; Elliott, Timothy R; Chang, Jessica E; Hill, Jessica N

    2014-11-01

    Our objective was to examine the use and quality of exploratory factor analysis (EFA) in articles published in Rehabilitation Psychology. Trained raters examined 66 separate exploratory factor analyses in 47 articles published between 1999 and April 2014. The raters recorded the aim of the EFAs, the distributional statistics, sample size, factor retention method(s), extraction and rotation method(s), and whether the pattern coefficients, structure coefficients, and the matrix of association were reported. The primary use of the EFAs was scale development, but the most widely used extraction and rotation method was principle component analysis, with varimax rotation. When determining how many factors to retain, multiple methods (e.g., scree plot, parallel analysis) were used most often. Many articles did not report enough information to allow for the duplication of their results. EFA relies on authors' choices (e.g., factor retention rules extraction, rotation methods), and few articles adhered to all of the best practices. The current findings are compared to other empirical investigations into the use of EFA in published research. Recommendations for improving EFA reporting practices in rehabilitation psychology research are provided.

  4. Determining the Number of Factors to Retain in EFA: Using the SPSS R-Menu v2.0 to Make More Judicious Estimations

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    Courtney, Matthew Gordon Ray

    2013-01-01

    Exploratory factor analysis (EFA) is a common technique utilized in the development of assessment instruments. The key question when performing this procedure is how to best estimate the number of factors to retain. This is especially important as under- or over-extraction may lead to erroneous conclusions. Although recent advancements have been…

  5. Improving Your Exploratory Factor Analysis for Ordinal Data: A Demonstration Using FACTOR

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    James Baglin

    2014-06-01

    Full Text Available Exploratory factor analysis (EFA methods are used extensively in the field of assessment and evaluation. Due to EFA's widespread use, common methods and practices have come under close scrutiny. A substantial body of literature has been compiled highlighting problems with many of the methods and practices used in EFA, and, in response, many guidelines have been proposed with the aim to improve application. Unfortunately, implementing recommended EFA practices has been restricted by the range of options available in commercial statistical packages and, perhaps, due to an absence of clear, practical - how-to' demonstrations. Consequently, this article describes the application of methods recommended to get the most out of your EFA. The article focuses on dealing with the common situation of analysing ordinal data as derived from Likert-type scales. These methods are demonstrated using the free, stand-alone, easy-to-use and powerful EFA package FACTOR (http://psico.fcep.urv.es/utilitats/factor/, Lorenzo-Seva & Ferrando, 2006. The demonstration applies the recommended techniques using an accompanying dataset, based on the Big 5 personality test. The outcomes obtained by the EFA using the recommended procedures through FACTOR are compared to the default techniques currently available in SPSS.

  6. Exploratory Factor Analysis With Small Samples and Missing Data.

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    McNeish, Daniel

    2017-01-01

    Exploratory factor analysis (EFA) is an extremely popular method for determining the underlying factor structure for a set of variables. Due to its exploratory nature, EFA is notorious for being conducted with small sample sizes, and recent reviews of psychological research have reported that between 40% and 60% of applied studies have 200 or fewer observations. Recent methodological studies have addressed small size requirements for EFA models; however, these models have only considered complete data, which are the exception rather than the rule in psychology. Furthermore, the extant literature on missing data techniques with small samples is scant, and nearly all existing studies focus on topics that are not of primary interest to EFA models. Therefore, this article presents a simulation to assess the performance of various missing data techniques for EFA models with both small samples and missing data. Results show that deletion methods do not extract the proper number of factors and estimate the factor loadings with severe bias, even when data are missing completely at random. Predictive mean matching is the best method overall when considering extracting the correct number of factors and estimating factor loadings without bias, although 2-stage estimation was a close second.

  7. Text mining factor analysis (TFA) in green tea patent data

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    Rahmawati, Sela; Suprijadi, Jadi; Zulhanif

    2017-03-01

    Factor analysis has become one of the most widely used multivariate statistical procedures in applied research endeavors across a multitude of domains. There are two main types of analyses based on factor analysis: Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA). Both EFA and CFA aim to observed relationships among a group of indicators with a latent variable, but they differ fundamentally, a priori and restrictions made to the factor model. This method will be applied to patent data technology sector green tea to determine the development technology of green tea in the world. Patent analysis is useful in identifying the future technological trends in a specific field of technology. Database patent are obtained from agency European Patent Organization (EPO). In this paper, CFA model will be applied to the nominal data, which obtain from the presence absence matrix. While doing processing, analysis CFA for nominal data analysis was based on Tetrachoric matrix. Meanwhile, EFA model will be applied on a title from sector technology dominant. Title will be pre-processing first using text mining analysis.

  8. Validating the cross-cultural factor structure and invariance property of the Insomnia Severity Index: evidence based on ordinal EFA and CFA.

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    Chen, Po-Yi; Yang, Chien-Ming; Morin, Charles M

    2015-05-01

    The purpose of this study is to examine the factor structure of the Insomnia Severity Index (ISI) across samples recruited from different countries. We tried to identify the most appropriate factor model for the ISI and further examined the measurement invariance property of the ISI across samples from different countries. Our analyses included one data set collected from a Taiwanese sample and two data sets obtained from samples in Hong Kong and Canada. The data set collected in Taiwan was analyzed with ordinal exploratory factor analysis (EFA) to obtain the appropriate factor model for the ISI. After that, we conducted a series of confirmatory factor analyses (CFAs), which is a special case of the structural equation model (SEM) that concerns the parameters in the measurement model, to the statistics collected in Canada and Hong Kong. The purposes of these CFA were to cross-validate the result obtained from EFA and further examine the cross-cultural measurement invariance of the ISI. The three-factor model outperforms other models in terms of global fit indices in Taiwan's population. Its external validity is also supported by confirmatory factor analyses. Furthermore, the measurement invariance analyses show that the strong invariance property between the samples from different cultures holds, providing evidence that the ISI results obtained in different cultures are comparable. The factorial validity of the ISI is stable in different populations. More importantly, its invariance property across cultures suggests that the ISI is a valid measure of the insomnia severity construct across countries. Copyright © 2014 Elsevier B.V. All rights reserved.

  9. Determining the Number of Factors to Retain in EFA: Using the SPSS R-Menu v2.0 to Make More Judicious Estimations

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    Matthew Gordon Ray Courtney

    2013-04-01

    Full Text Available Exploratory factor analysis (EFA is a common technique utilized in the development of assessment instruments. The key question when performing this procedure is how to best estimate the number of factors to retain. This is especially important as under- or over-extraction may lead to erroneous conclusions. Although recent advancements have been made to answer the number of factors question, popular statistical packages do not come standard with these modern techniques. This paper details how to program IBM SPSS Statistics software (SPSS to conveniently perform five modern techniques designed to estimate the number of factors to retain. By utilizing the five empirically-supported techniques illustrated in this article, researchers will be able to more judiciously model data.

  10. The european flood alert system EFAS – Part 2: Statistical skill assessment of probabilistic and deterministic operational forecasts

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    J. C. Bartholmes

    2009-02-01

    Full Text Available Since 2005 the European Flood Alert System (EFAS has been producing probabilistic hydrological forecasts in pre-operational mode at the Joint Research Centre (JRC of the European Commission. EFAS aims at increasing preparedness for floods in trans-national European river basins by providing medium-range deterministic and probabilistic flood forecasting information, from 3 to 10 days in advance, to national hydro-meteorological services.

    This paper is Part 2 of a study presenting the development and skill assessment of EFAS. In Part 1, the scientific approach adopted in the development of the system has been presented, as well as its basic principles and forecast products. In the present article, two years of existing operational EFAS forecasts are statistically assessed and the skill of EFAS forecasts is analysed with several skill scores. The analysis is based on the comparison of threshold exceedances between proxy-observed and forecasted discharges. Skill is assessed both with and without taking into account the persistence of the forecasted signal during consecutive forecasts.

    Skill assessment approaches are mostly adopted from meteorology and the analysis also compares probabilistic and deterministic aspects of EFAS. Furthermore, the utility of different skill scores is discussed and their strengths and shortcomings illustrated. The analysis shows the benefit of incorporating past forecasts in the probability analysis, for medium-range forecasts, which effectively increases the skill of the forecasts.

  11. Pre-pregnancy obesity and maternal nutritional biomarker status during pregnancy: a factor analysis.

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    Tomedi, Laura E; Chang, Chung-Chou H; Newby, P K; Evans, Rhobert W; Luther, James F; Wisner, Katherine L; Bodnar, Lisa M

    2013-08-01

    Pre-pregnancy obesity has been associated with adverse birth outcomes. Poor essential fatty acid (EFA) and micronutrient status during pregnancy may contribute to these associations. We assessed the associations between pre-pregnancy BMI and nutritional patterns of maternal micronutrient and EFA status during mid-pregnancy. A cross-sectional analysis from a prospective cohort study. Women provided non-fasting blood samples at ≥ 20 weeks’ gestation that were assayed for red cell EFA; plasma folate, homocysteine and ascorbic acid; and serum retinol, 25-hydroxyvitamin D, a-tocopherol, soluble transferrin receptors and carotenoids. These nutritional biomarkers were employed in a factor analysis and three patterns were derived: EFA, Micronutrients and Carotenoids. The Antidepressant Use During Pregnancy Study, Pittsburgh, PA, USA. Pregnant women (n 129). After adjustment for parity, race/ethnicity and age, obese pregnant women were 3.0 (95% CI 1.1, 7.7) times more likely to be in the lowest tertile of the EFA pattern and 4.5 (95% CI 1.7, 12.3) times more likely to be in the lowest tertile of the Carotenoid pattern compared with their lean counterparts. We found no association between pre-pregnancy obesity and the Micronutrient pattern after confounder adjustment. Our results suggest that obese pregnant women have diminished EFA and carotenoid concentrations.

  12. Gender Equality in Education : Experiences of Nepal to Achieve EFA Goal 5

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    菅野, 琴

    2008-01-01

    The Dakar Education for All (EFA) Framework for Action includes Gender Equality in Education as one of its six time-bound goals. "Gender" being regarded as its transverse theme, the Dakar EFA agreement pays special attention to girls and women in other EFA goals as well. The first time-bound goal of gender parity in primary and secondary education by 2005 was, however, not met by many developing countries, including Nepal. Why they missed the 2005 goal? What are the obstacles for gender parit...

  13. Workplace Innovation: Exploratory and Confirmatory Factor Analysis for Construct Validation

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    Wipulanusat Warit

    2017-06-01

    Full Text Available Workplace innovation enables the development and improvement of products, processes and services leading simultaneously to improvement in organisational performance. This study has the purpose of examining the factor structure of workplace innovation. Survey data, extracted from the 2014 APS employee census, comprising 3,125 engineering professionals in the Commonwealth of Australia’s departments were analysed using exploratory factor analysis (EFA and confirmatory factor analysis (CFA. EFA returned a two-factor structure explaining 69.1% of the variance of the construct. CFA revealed that a two-factor structure was indicated as a validated model (GFI = 0.98, AGFI = 0.95, RMSEA = 0.08, RMR = 0.02, IFI = 0.98, NFI = 0.98, CFI = 0.98, and TLI = 0.96. Both factors showed good reliability of the scale (Individual creativity: α = 0.83, CR = 0.86, and AVE = 0.62; Team Innovation: α = 0.82, CR = 0.88, and AVE = 0.61. These results confirm that the two factors extracted for characterising workplace innovation included individual creativity and team innovation.

  14. Exploratory and Confirmatory Factor Analyses of the WISC-IV with Gifted Students

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    Rowe, Ellen W.; Dandridge, Jessica; Pawlush, Alexandra; Thompson, Dawna F.; Ferrier, David E.

    2014-01-01

    These 2 studies investigated the factor structure of the Wechsler Intelligence Scale for Children-4th edition (WISC-IV; Wechsler, 2003a) with exploratory factor analysis (EFA; Study 1) and confirmatory factor analysis (CFA; Study 2) among 2 independent samples of gifted students. The EFA sample consisted of 225 children who were referred for a…

  15. The Oswestry Disability Index, confirmatory factor analysis in a sample of 35,263 verifies a one-factor structure but practicality issues remain.

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    Gabel, Charles Philip; Cuesta-Vargas, Antonio; Qian, Meihua; Vengust, Rok; Berlemann, Ulrich; Aghayev, Emin; Melloh, Markus

    2017-08-01

    To analyze the factor structure of the Oswestry Disability Index (ODI) in a large symptomatic low back pain (LBP) population using exploratory (EFA) and confirmatory factor analysis (CFA). Analysis of pooled baseline ODI LBP patient data from the international Spine Tango registry of EUROSPINE, the Spine Society of Europe. The sample, with n = 35,263 (55.2% female; age 15-99, median 59 years), included 76.1% of patients with a degenerative disease, and 23.9% of the patients with various other spinal conditions. The initial EFA provided a hypothetical construct for consideration. Subsequent CFA was considered in three scenarios: the full sample and separate genders. Models were compared empirically for best fit. The EFA indicated a one-factor solution accounting for 54% of the total variance. The CFA analysis based on the full sample confirmed this one-factor structure. Sub-group analyses by gender achieved good model fit for configural and partial metric invariance, but not scalar invariance. A possible two-construct model solution as outlined by previous researchers: dynamic-activities (personal care, lifting, walking, sex and social) and static-activities (pain, sleep, standing, travelling and sitting) was not preferred. The ODI demonstrated a one-factor structure in a large LBP sample. A potential two-factor model was considered, but not found appropriate for constructs of dynamic and static activity. The use of the single summary score for the ODI is psychometrically supported. However, practicality limitations were reported for use in the clinical and research settings. Researchers are encouraged to consider a shift towards newer, more sensitive and robustly developed instruments.

  16. Exploring leadership styles for innovation: an exploratory factor analysis

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    Wipulanusat Warit

    2017-03-01

    Full Text Available Leadership plays a vital role in building the process, structures, and climate for an organisation to become innovative and to motivate team expectations toward innovations. This study explores the leadership styles that engineers regard as significant for innovation in the public sector. Exploratory factor analysis (EFA was conducted to identify the principal leadership styles influencing innovation in the Australian Public Service (APS, using survey data extracted from the 2014 APS employee census comprising 3 125 engineering professionals in Commonwealth of Australia departments. EFA returned a two-factor structure explaining 77.6% of the variance of the leadership for innovation construct. In this study, the results from the EFA provided a clear estimation of the factor structure of the measures for leadership for innovation. From the results, the two factors extracted were transformational leadership and consideration leadership. In transformational leadership, a leader values organisational objectives, inspires subordinates to perform, and motivates followers beyond expected levels of work standards. Consideration leadership refers to the degree to which a leader shows concern and expressions of support for subordinates, takes care of their welfare, treats members as equals, and displays warmth and approachability. These findings highlight the role of leadership as the most critical predictor when considering the degree to which subordinates strive for creativity and innovation. Both transformational and consideration leadership styles are recommended to be incorporated into management training and development programs. This study also recommends that Commonwealth departments recruit supervisors who have both of these leadership styles before implementing innovative projects.

  17. Exploratory factor analysis and reliability analysis with missing data: A simple method for SPSS users

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    Bruce Weaver

    2014-09-01

    Full Text Available Missing data is a frequent problem for researchers conducting exploratory factor analysis (EFA or reliability analysis. The SPSS FACTOR procedure allows users to select listwise deletion, pairwise deletion or mean substitution as a method for dealing with missing data. The shortcomings of these methods are well-known. Graham (2009 argues that a much better way to deal with missing data in this context is to use a matrix of expectation maximization (EM covariances(or correlations as input for the analysis. SPSS users who have the Missing Values Analysis add-on module can obtain vectors ofEM means and standard deviations plus EM correlation and covariance matrices via the MVA procedure. But unfortunately, MVA has no /MATRIX subcommand, and therefore cannot write the EM correlations directly to a matrix dataset of the type needed as input to the FACTOR and RELIABILITY procedures. We describe two macros that (in conjunction with an intervening MVA command carry out the data management steps needed to create two matrix datasets, one containing EM correlations and the other EM covariances. Either of those matrix datasets can then be used asinput to the FACTOR procedure, and the EM correlations can also be used as input to RELIABILITY. We provide an example that illustrates the use of the two macros to generate the matrix datasets and how to use those datasets as input to the FACTOR and RELIABILITY procedures. We hope that this simple method for handling missing data will prove useful to both students andresearchers who are conducting EFA or reliability analysis.

  18. Vaccination with DNA encoding truncated enterohemorrhagic Escherichia coli (EHEC factor for adherence-1 gene (efa-1’ confers protective immunity to mice infected with E. coli O157:H7

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    Roberto eRiquelme-Neira

    2016-01-01

    Full Text Available Enterohemorrhagic Escherichia coli (EHEC O157:H7 is the predominant causative agent of hemorrhagic colitis in humans and is the cause of haemolytic uraemic syndrome and other illnesses. Cattle have been implicated as the main reservoir of this organism. Here, we evaluated the immunogenicity and protective efficacy of a DNA vaccine encoding conserved sequences of truncated EHEC factor for adherence-1 (efa-1’ in a mouse model. Intranasal administration of plasmid DNA carrying the efa-1’ gene (pVAXefa-1’ into C57BL/6 mice elicited both humoral and cellular immune responses. In animals immunized with pVAXefa-1`, EHEC-secreted protein-specific IgM and IgG antibodies were detected in sera at day 45. Anti-EHEC-secreted protein sIgA was also detected in nasal and bronchoalveolar lavages. In addition, antigen-specific T-cell-proliferation, IL-10 and IFN-γ were observed upon re-stimulation with either heat-killed bacteria or EHEC-secreted proteins. Vaccinated animals were also protected against challenge with E. coli O157:H7 strain EDL933. These results suggest that DNA vaccine encoding efa-1´ have therapeutic potential in interventions against EHEC infections. This approach could lead to a new strategy in the production of vaccines that prevent infections in cattle.

  19. Factors affecting construction performance: exploratory factor analysis

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    Soewin, E.; Chinda, T.

    2018-04-01

    The present work attempts to develop a multidimensional performance evaluation framework for a construction company by considering all relevant measures of performance. Based on the previous studies, this study hypothesizes nine key factors, with a total of 57 associated items. The hypothesized factors, with their associated items, are then used to develop questionnaire survey to gather data. The exploratory factor analysis (EFA) was applied to the collected data which gave rise 10 factors with 57 items affecting construction performance. The findings further reveal that the items constituting ten key performance factors (KPIs) namely; 1) Time, 2) Cost, 3) Quality, 4) Safety & Health, 5) Internal Stakeholder, 6) External Stakeholder, 7) Client Satisfaction, 8) Financial Performance, 9) Environment, and 10) Information, Technology & Innovation. The analysis helps to develop multi-dimensional performance evaluation framework for an effective measurement of the construction performance. The 10 key performance factors can be broadly categorized into economic aspect, social aspect, environmental aspect, and technology aspects. It is important to understand a multi-dimension performance evaluation framework by including all key factors affecting the construction performance of a company, so that the management level can effectively plan to implement an effective performance development plan to match with the mission and vision of the company.

  20. Mixture simultaneous factor analysis for capturing differences in latent variables between higher level units of multilevel data

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    De Roover, K.; Vermunt, J.K.; Timmerman, Marieke E.; Ceulemans, Eva

    2017-01-01

    Given multivariate data, many research questions pertain to the covariance structure: whether and how the variables (for example, personality measures) covary. Exploratory factor analysis (EFA) is often used to look for latent variables that may explain the covariances among variables; for example,

  1. Mismatch of Posttraumatic Stress Disorder (PTSD) Symptoms and DSM-IV Symptom Clusters in a Cancer Sample: Exploratory Factor Analysis of the PTSD Checklist-Civilian Version

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    Shelby, Rebecca A.; Golden-Kreutz, Deanna M.; Andersen, Barbara L.

    2007-01-01

    The Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV; American Psychiatric Association, 1994a) conceptualization of posttraumatic stress disorder (PTSD) includes three symptom clusters: reexperiencing, avoidance/numbing, and arousal. The PTSD Checklist-Civilian Version (PCL-C) corresponds to the DSM-IV PTSD symptoms. In the current study, we conducted exploratory factor analysis (EFA) of the PCL-C with two aims: (a) to examine whether the PCL-C evidenced the three-factor solution implied by the DSM-IV symptom clusters, and (b) to identify a factor solution for the PCL-C in a cancer sample. Women (N = 148) with Stage II or III breast cancer completed the PCL-C after completion of cancer treatment. We extracted two-, three-, four-, and five-factor solutions using EFA. Our data did not support the DSM-IV PTSD symptom clusters. Instead, EFA identified a four-factor solution including reexperiencing, avoidance, numbing, and arousal factors. Four symptom items, which may be confounded with illness and cancer treatment-related symptoms, exhibited poor factor loadings. Using these symptom items in cancer samples may lead to overdiagnosis of PTSD and inflated rates of PTSD symptoms. PMID:16281232

  2. Impaired maternal glucose homeostasis during pregnancy is associated with low status of long-chain polyunsaturated fatty acids (LCP) and essential fatty acids (EFA) in the fetus

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    Dijck-Brouwer, DAJ; Hadders-Algra, M; Bouwstra, H; Decsi, T; Boehm, G; Martini, IA; Boersma, ER; Muskiet, FAJ

    Low status of long-chain polyunsaturated fatty acids (LCP) and essential fatty acids (EFA) in the fetus is associated with less favorable neonatal neurological condition. A 'relative', rather than 'absolute' EFA deficiency might explain this finding. A relative EFA deficiency may derive from

  3. Higher Education End-of-Course Evaluations: Assessing the Psychometric Properties Utilizing Exploratory Factor Analysis and Rasch Modeling Approaches

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    Kelly D. Bradley

    2016-07-01

    Full Text Available This paper offers a critical assessment of the psychometric properties of a standard higher education end-of-course evaluation. Using both exploratory factor analysis (EFA and Rasch modeling, the authors investigate the (a an overall assessment of dimensionality using EFA, (b a secondary assessment of dimensionality using a principal components analysis (PCA of the residuals when the items are fit to the Rasch model, and (c an assessment of item-level properties using item-level statistics provided when the items are fit to the Rasch model. The results support the usage of the scale as a supplement to high-stakes decision making such as tenure. However, the lack of precise targeting of item difficulty to person ability combined with the low person separation index renders rank-ordering professors according to minuscule differences in overall subscale scores a highly questionable practice.

  4. Some Partners Are More Equal than Others: EFA and Civil Society in Papua New Guinea and Vanuatu Education Policy Processes

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    McCormick, Alexandra

    2011-01-01

    This article considers a parallel marginalisation of Education for All (EFA) as a holistic approach to education, and the civil society actors and coalitions who address sidelined Dakar goals of early childhood care and education, adult literacy, quality and non-formal education. I argue that in spite of over two decades of EFA rhetoric prizing…

  5. Maternal and fetal brain contents of docosahexaenoic acid (DHA) and arachidonic acid (AA) at various essential fatty acid (EFA), DHA and AA dietary intakes during pregnancy in mice

    NARCIS (Netherlands)

    van Goor, Saskia A; Dijck-Brouwer, D A Janneke; Fokkema, M Rebecca; van der Iest, Theo Hans; Muskiet, Frits A J

    We investigated essential fatty acids (EFA) and long-chain polyunsaturated fatty acids (LCP) in maternal and fetal brain as a function of EFA/LCP availability to the feto-maternal unit in mice. Diets varying in parent EFA, arachidonic acid (AA), and docosahexaenoic acid (DHA) were administered from

  6. Exploratory Factor Analysis of NRG Oncology's University of Washington Quality of Life Questionnaire – RTOG Modification

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    Pugh, Stephanie L.; Wyatt, Gwen; Wong, Raimond K. W.; Sagar, Stephen M.; Yueh, Bevan; Singh, Anurag K.; Yao, Min; Nguyen-Tan, Phuc Felix; Yom, Sue S.; Cardinale, Francis S.; Sultanem, Khalil; Hodson, D. Ian; Krempl, Greg A.; Chavez, Ariel; Yeh, Alexander M.; Bruner, Deborah W.

    2016-01-01

    Context The 15-item University of Washington Quality of Life questionnaire – Radiation Therapy Oncology Group (RTOG) modification (UW-QOL-RTOG modification) has been used in several trials of head and neck cancer conducted by NRG Oncology such as RTOG 9709, RTOG 9901, RTOG 0244, and RTOG 0537. Objectives This study is an exploratory factor analysis (EFA) to establish validity and reliability of the instrument subscales. Methods EFA on the UW-QOL - RTOG modification was conducted using baseline data from NRG Oncology's RTOG 0537, a trial of acupuncture-like transcutaneous electrical nerve stimulation in treating radiation-induced xerostomia. Cronbach's α coefficient was calculated to measure reliability; correlation with the University of Michigan Xerostomia Related Quality of Life Scale (XeQOLS) was used to evaluate concurrent validity; and correlations between consecutive time points were used to assess test-retest reliability. Results The 15-item EFA of the modified tool resulted in 11 items split into 4 factors: mucus, eating, pain, and activities. Cronbach's α ranged from 0.71 to 0.93 for the factors and total score, consisting of all 11 items. There were strong correlations (ρ≥0.60) between consecutive time points and between total score and the XeQOLS total score (ρ>0.65). Conclusion The UW-QOL-RTOG modification is a valid tool that can be used to assess symptom burden of head and neck cancer patients receiving radiation therapy or those who have recently completed radiation. The modified tool has acceptable reliability, concurrent validity, and test-retest reliability in this patient population, as well as the advantage of having being shortened from 15 to 11 items. PMID:27899312

  7. Pragmatics fragmented: the factor structure of the Dutch children's communication checklist (CCC).

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    Geurts, Hilde M; Hartman, Catharina; Verté, Sylvie; Oosterlaan, Jaap; Roeyers, Herbert; Sergeant, Joseph A

    2009-01-01

    A number of disorders are associated with pragmatic difficulties. Instruments that can make subdivisions within the larger construct of pragmatics could be important tools for disentangling profiles of pragmatic difficulty in different disorders. The deficits underlying the observed pragmatic difficulties may be different for different disorders. To study the construct validity of a pragmatic language questionnaire. The construct of pragmatics is studied by applying exploratory factor analysis (EFA) and confirmatory factor analysis to the parent version of the Dutch Children's Communication Checklist (CCC; Bishop 1998 ). Parent ratings of 1589 typically developing children and 481 children with a clinical diagnosis were collected. Four different factor models derived from the original CCC scales and five different factor models based on EFA were compared with each other. The models were cross-validated. The EFA-derived models were substantively different from the originally proposed CCC factor structure. EFA models gave a slightly better fit than the models based on the original CCC scales, though neither provided a good fit to the parent data. Coherence seemed to be part of language form and not of pragmatics, which is in line with the adaptation of the CCC, the CCC-2 (Bishop 2003 ). Most pragmatic items clustered together in one factor and these pragmatic items also clustered with items related to social relationships and specific interests. The nine scales of the original CCC do not reflect the underlying factor structure. Therefore, scale composition may be improved on and scores on subscale level need to be interpreted cautiously. Therefore, in interpreting the CCC profiles, the overall measure might be more informative than the postulated subscales as more information is needed to determine which constructs the suggested subscales are actually measuring.

  8. [Priorization of facilitators for the implementation of medication review with follow-up service in Spanish community pharmacies through exploratory factor analysis].

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    Gil, Modesta Inmaculada; Benrimoj, Shalom Isaac; Martínez-Martínez, Fernando; Cardero, Manuel; Gastelurrutia, Miguel Ángel

    2013-01-01

    to prioritize previously identified in Spain facilitators for the implementation of new Pharmaceutical Services that allow designing strategies for the implementation of Medication Review with follow-up (MRFup) service. Exploratory factor analysis (EFA). A draft of a questionnaire was performed based on a previous literature review and following the RAND/UCLA methodology. An expert panel worked with it and generated a definitive questionnaire which, after piloting, was used with a representative sample of pharmacists, owners or staff members, who were working in community pharmacy, using computer-assisted telephone interviewing (CATI) methodology. To understand underlying constructs in the questionnaire an EFA was performed. Different approaches were tested such as principal components factor analysis and principal axis factoring method. The best interpretability was achieved using the Factorization of Principal axis method with Direct Oblimin rotation, which explained the 40.0% of total variance. This produced four factors defined as: «Incentives», «External campaigns», «Expert in MRFup» and «Professionalism of the pharmacist». It can be stated that for implementation and sustainability of MRFup Service it is necessary being paid; also it must be explained to health professional and society in general. Practice of MRFup service demands pharmacists receiving a more clinical education and assuming more responsibilities as health professionals. Copyright © 2012 Elsevier España, S.L. All rights reserved.

  9. Psychometric Evaluation of the Student Authorship Questionnaire: A Confirmatory Factor Analysis Approach

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    Ballantine, Joan; Guo, Xin; Larres, Patricia

    2015-01-01

    This research provides new insights into the measurement of students' authorial identity and its potential for minimising the incidence of unintentional plagiarism by providing evidence about the psychometric properties of the Student Authorship Questionnaire (SAQ). Exploratory and confirmatory factor analyses (EFA and CFA) are employed to…

  10. Examining Factor Structure of the Chinese Version of the PIRLS 2011 Home Questionnaire

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    Wai Ming Cheung

    2016-01-01

    Full Text Available The home questionnaire of the Progress in International Reading Literacy Study (PIRLS-HQ 2011 was designed to gather information from parents or primary caregivers of fourth-grade pupils on their reading literacy development related to aspects of pupils’ home lives across countries/districts. The questionnaire was translated into different languages for international comparison and research purposes. This study aims to assess the psychometric properties of the Chinese version of the PIRLS 2011 home questionnaire (PIRLS-HQCV 2011 and identify the underlying factor structure using exploratory factor analysis (EFA and confirmatory factor analysis (CFA among Chinese fourth-grade pupils in Hong Kong. A 7-factor structure model has been identified by EFA and confirmed to resemble much to the original PIRLS structure by CFA. Additional conceptually important domains have been identified which add further insights into the inconclusive results in the literature regarding the relationship between home factors and reading achievement. Implications for further studies are discussed.

  11. Exploratory and Confirmatory Factor Analyses of Delirium Symptoms in a Sample of Nursing Home Residents.

    Science.gov (United States)

    Moyo, Patience; Huang, Ting-Ying; Simoni-Wastila, Linda; Harrington, Donna

    2018-02-01

    This study examined the latent constructs of delirium symptoms among nursing home (NH) residents in the United States. Cross-sectional NH assessment data (Minimum Data Set 2.0) from the 2009 Medicare Current Beneficiary Survey were used. Data from two independent, randomly selected subsamples of residents ≥65 years were analyzed using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). There were 367 and 366 individuals in the EFA and CFA, respectively. Assessment of multiple model fit statistics in CFA indicated that the two-factor structure provided better fit for the data than a one-factor solution. The two factors represented cognitive and behavioral latent constructs as suggested by the related literature. A correlation of .72 between these constructs suggested moderate discriminant validity. This finding emphasizes the importance of health care providers to be attentive to both cognitive and behavioral symptoms when diagnosing, treating, and managing delirium.

  12. Factor Structure and Basic Psychometric Properties of the "Transition Assessment and Goal Generator"

    Science.gov (United States)

    Hennessey, Maeghan N.; Terry, Robert; Martin, James E.; McConnell, Amber E.; Willis, Donna M.

    2018-01-01

    We examined the theoretical factor structure fit and psychometric properties of the "Transition Assessment and Goal Generator" (TAGG). In the first study, 349 transition-aged students with disabilities, their special educators, and family members completed TAGG assessments, and using exploratory factor analysis (EFA)/confirmatory factor…

  13. Intrapersonal and interpersonal dimensions of cancer perception: a confirmatory factor analysis of the cancer experience and efficacy scale (CEES).

    Science.gov (United States)

    Hou, Wai Kai

    2010-05-01

    Sociocultural factors influence psychological adjustment to cancer in Asian patients in two major ways: prioritization of relationships over individual orientations and belief in the efficacy of interpersonal cooperation. We derived and validated among Chinese colorectal cancer (CRC) patients an instrument assessing cancer perceptions to enable the study of the sociocultural processes. Qualitative interviews (n = 16) derived 15 items addressing interpersonal experience in Chinese CRC patients' adjustment. These 15 items and 18 corresponding self-referent items were administered to 166 Chinese CRC survivors and subjected to exploratory factor analysis (EFA) to establish the initial scale structure and reliability. The final 29 items, together with other psychometric measures, were administered to a second cohort of 215 CRC patients and subjected to confirmatory factor analysis (CFA). EFA (63.35% of the total variance) extracted six factors: personal strain, socioeconomic strain, emotional strain, personal efficacy, collective efficacy, and proxy efficacy. CFA confirmed the psychometric structure [chi (2)(df) = 702.91(368); Comparative Fit Index = 0.95; Nonnormed Fit Index = 0.94; Incremental Fit Index = 0.95; standardized root mean square residual = 0.08] of the six factors by using a model with two latent factors: experience and efficacy. All subscales were reliable (alpha = 0.76-0.92). Appropriate correlations with adjustment outcomes (symptom distress, psychological morbidity, and subjective well-being), optimistic personalities, and social relational quality indicated its convergent and divergent validity. Known group comparisons (i.e., age, active treatment, and colostomy) showed its clinical utility. The cancer experience and efficacy scale is a valid multidimensional instrument for assessing intrapersonal and interpersonal dimensions of cancer experience in Asian patients, potentiating existing patient-reported outcome measures.

  14. Exploratory and confirmatory factor analysis of the Adolescent Motivation to Cook Questionnaire: A Self-Determination Theory instrument.

    Science.gov (United States)

    Miketinas, Derek; Cater, Melissa; Bailey, Ariana; Craft, Brittany; Tuuri, Georgianna

    2016-10-01

    Increasing adolescents' motivation and competence to cook may improve diet quality and reduce the risk for obesity and chronic diseases. The objective of this study was to develop an instrument to measure adolescents' intrinsic motivation to prepare healthy foods and the four psychological needs that facilitate motivation identified by the Self Determination Theory (SDT). Five hundred ninety-three high school students (62.7% female) were recruited to complete the survey. Participants indicated to what extent they agreed or disagreed with 25 statements pertaining to intrinsic motivation and perceived competence to cook, and their perceived autonomy support, autonomy, and relatedness to teachers and classmates. Data were analyzed using exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and internal consistency reliability. EFA returned a five-factor structure explaining 65.3% of the variance; and CFA revealed that the best model fit was a five-factor structure (χ2 = 524.97 (265); Comparative Fit Index = 0.93; RMSEA = 0.056; and SRMR = 0.04). The sub-scales showed good internal consistency (Intrinsic Motivation: α = 0.94; Perceived Competence: α = 0.92; Autonomy Support: α = 0.94; Relatedness: α = 0.90; and Autonomy: α = 0.85). These results support the application of the Adolescent Motivation to Cook Questionnaire to measure adolescents' motivation and perceived competence to cook, autonomy support by their instructor, autonomy in the classroom, and relatedness to peers. Further studies are needed to investigate whether this instrument can measure change in cooking intervention programs. Copyright © 2016 Elsevier Ltd. All rights reserved.

  15. Strategic Decision-Making: Research Mapping from Exploratory Factor Analysis and Multidimensional Scaling

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    Ivano Ribeiro

    2017-04-01

    Full Text Available To understand the connection between authors, concepts and theories that address strategic decision-making, in this article the citations and co-citations of works published up to 2014 were analyzed. The sample consists of 489 articles published in international periodicals included in the Web of Science-ISI Web of Knowledge database. The search was conducted using key words that enabled the identification of the highest possible number of articles on the subject in question. Through Multidimensional Scaling (MDS and Exploratory Factor Analysis (EFA, the conceptual and theoretical relationships involved in these studies were identified. The results show that from 1980 to 2014 three different factors are highlighted: the first has to do with studies on conflict; the second factor is the Top Management Team (TMT and decision-making; and the third is related to processes. More recently (2013-2014, studies on strategic decision-making are converging towards analysis of conflict and process, composition and control, with Upper Echelon Theory being maintained as the central theory in these studies. This finding is the main contribution of this article.

  16. Development and analysis of the factor structure of parents' internalized stigma of neurodevelopmental disorder in child scale

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    Ananya Mahapatra

    2017-01-01

    Full Text Available Background: Parents of children suffering from neurodevelopmental disorders, frequently face public stigma which is often internalized and leads to psychological burden. However, there is a lack of data on the perceptions of internalized stigma among parents of children with neurodevelopmental disorders, especially from lower-middle-income countries like India. Aims: This study aims to develop an adapted version of the Internalized Stigma of Mental Illness (ISMI scale for use in parents of children suffering from neurodevelopmental disorders and to explore the factor structure of this instrument through exploratory factor analysis (EFA. Settings and Design: A cross-sectional study was conducted in an outpatient setting in a tertiary care hospital in India. Materials and Methods: A total of 105 parents of children suffering from neurodevelopmental disorders (according to the Diagnostic and Statistical Manual of Mental Disorders Fifth Edition were recruited for the study after screening for psychiatric disorder using Mini International Neuropsychiatric Interview version 6.0. A modified 16-item scale was constructed Parents' Internalized Stigma of Neurodevelopmental Disorder in Child (PISNC scale and applied on 105 parents of children suffering from neurodevelopmental disorders, after translation to Hindi and back-translation, in keeping with the World Health Organization's translation-back-translation methodology. Statistical Analysis: EFA was carried out using principal component analysis with orthogonal (varimax rotation. Internal consistency of the Hindi version of the scale was estimated in the form of Cronbach's alpha. Spearman–Brown coefficient and Guttman split-half coefficient were calculated to evaluate the split-half reliability. Results: The initial factor analysis yielded three-factor models with an eigenvalue of >1 and the total variance explained by these factors was 62.017%. The internal consistency of the 16-item scale was 0

  17. An Evaluation on Factors Influencing Decision making for Malaysia Disaster Management: The Confirmatory Factor Analysis Approach

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    Zubir, S. N. A.; Thiruchelvam, S.; Mustapha, K. N. M.; Che Muda, Z.; Ghazali, A.; Hakimie, H.

    2017-12-01

    For the past few years, natural disaster has been the subject of debate in disaster management especially in flood disaster. Each year, natural disaster results in significant loss of life, destruction of homes and public infrastructure, and economic hardship. Hence, an effective and efficient flood disaster management would assure non-futile efforts for life saving. The aim of this article is to examine the relationship between approach, decision maker, influence factor, result, and ethic to decision making for flood disaster management in Malaysia. The key elements of decision making in the disaster management were studied based on the literature. Questionnaire surveys were administered among lead agencies at East Coast of Malaysia in the state of Kelantan and Pahang. A total of 307 valid responses had been obtained for further analysis. Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) were carried out to analyse the measurement model involved in the study. The CFA for second-order reflective and first-order reflective measurement model indicates that approach, decision maker, influence factor, result, and ethic have a significant and direct effect on decision making during disaster. The results from this study showed that decision- making during disaster is an important element for disaster management to necessitate a successful collaborative decision making. The measurement model is accepted to proceed with further analysis known as Structural Equation Modeling (SEM) and can be assessed for the future research.

  18. Factor structure of the CES-D and measurement invariance across gender in Mainland Chinese adolescents.

    Science.gov (United States)

    Wang, Mengcheng; Armour, Cherie; Wu, Yan; Ren, Fen; Zhu, Xiongzhao; Yao, Shuqiao

    2013-09-01

    The primary aim was to examine the depressive symptom structure of Mainland China adolescents using the Center for Epidemiologic Studies Depression Scale (CES-D). Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were simultaneously conducted to determine the structure of the CES-D in a large scale, representative adolescent samples recruited from Mainland China. Multigroup CFA (N = 5059, 48% boys, mean = 16.55±1.06) was utilized to test the factorial invariance of the depressive symptom structure, which was generated by EFA and confirmed by CFA across gender. The CES-D can be interpreted in terms of 3 symptom dimensions. Additionally, factorial invariance of the new proposed model across gender was supported at all assuming different degrees of invariance. Mainland Chinese adolescents have specific depressive symptom structure, which is consistent across gender. © 2013 Wiley Periodicals, Inc.

  19. Factor Structure and Psychometric Properties of the Young Schema Questionnaire (Short Form) in Chinese Undergraduate Students

    Science.gov (United States)

    Cui, Lixia; Lin, Wenwen; Oei, Tian P. S.

    2011-01-01

    This study investigated cross-cultural differences in the factor structure and psychometric properties of the Young Schema Questionnaire (short form; YSQ-SF). The participants were 712 Chinese undergraduate students. The total sample was randomly divided into two sub-samples. Exploratory Factor Analysis (EFA) was conducted on questionnaire results…

  20. Development of a Short Version of MSQOL-54 Using Factor Analysis and Item Response Theory.

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    Rosalba Rosato

    Full Text Available The Multiple Sclerosis Quality of Life-54 (MSQOL-54, 52 items grouped in 12 subscales plus two single items is the most used MS specific health related quality of life inventory.To develop a shortened version of the MSQOL-54.MSQOL-54 dimensionality and metric properties were investigated by confirmatory factor analysis (CFA and Rasch modelling (Partial Credit Model, PCM on MSQOL-54s completed by 473 MS patients. Their mean age was 41 years, 65% were women, and median Expanded Disability Status Scale (EDSS score was 2.0 (range 0-9.5. Differential item functioning (DIF was evaluated for gender, age and EDSS. Dimensionality of the resulting short version was assessed by exploratory factor analysis (EFA and CFA. Cognitive debriefing of the short instrument (vs. the original was then performed on 12 MS patients.CFA of MSQOL-54 subscales showed that the data fitted the overall model well. Two subscales (Role Limitations--Physical, Role Limitations--Emotional did not fit the PCM, and were removed; two other subscales (Health Perceptions, Social Function did not fit the model, but were retained as single items. Sexual Satisfaction (single-item subscale was also removed. The resulting MSQOL-29 consisted of 25 items grouped in 7 subscales, plus 4 single items. PCM fit statistics were within the acceptability range for all MSQOL-29 items except one which had significant DIF by age. EFA and CFA indicated adequate fit to the original two-factor (Physical and Mental Health Composites hypothesis. Cognitive debriefing confirmed that MSQOL-29 was acceptable and had lost no key items.The proposed MSQOL-29 is 50% shorter than MSQOL-54, yet preserves key quality of life dimensions. Prospective validation on a large, independent MS patient sample is ongoing.

  1. 41 CFR 102-38.360 - What must an executive agency do to implement the eFAS program?

    Science.gov (United States)

    2010-07-01

    ... PROPERTY 38-SALE OF PERSONAL PROPERTY Implementation of the Federal Asset Sales Program § 102-38.360 What must an executive agency do to implement the eFAS program? (a) An executive agency must review the effectiveness of all sales solutions, and compare them to the effectiveness (e.g., cost, level of service, and...

  2. Exploratory factor analysis for differentiating sensory and mechanical variables related to muscle-tendon unit elongation

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    Mauro H. Chagas

    2016-01-01

    Full Text Available ABSTRACT Background Stretching exercises are able to promote adaptations in the muscle-tendon unit (MTU, which can be tested through physiological and biomechanical variables. Identifying the key variables in MTU adaptations is crucial to improvements in training. Objective To perform an exploratory factor analysis (EFA involving the variables often used to evaluate the response of the MTU to stretching exercises. Method Maximum joint range of motion (ROMMAX, ROM at first sensation of stretching (FSTROM, peak torque (torqueMAX, passive stiffness, normalized stiffness, passive energy, and normalized energy were investigated in 36 participants during passive knee extension on an isokinetic dynamometer. Stiffness and energy values were normalized by the muscle cross-sectional area and their passive mode assured by monitoring the EMG activity. Results EFA revealed two major factors that explained 89.68% of the total variance: 53.13% was explained by the variables torqueMAX, passive stiffness, normalized stiffness, passive energy, and normalized energy, whereas the remaining 36.55% was explained by the variables ROMMAX and FSTROM. Conclusion This result supports the literature wherein two main hypotheses (mechanical and sensory theories have been suggested to describe the adaptations of the MTU to stretching exercises. Contrary to some studies, in the present investigation torqueMAX was significantly correlated with the variables of the mechanical theory rather than those of the sensory theory. Therefore, a new approach was proposed to explain the behavior of the torqueMAX during stretching exercises.

  3. Use of exploratory factor analysis to ascertain the correlation between the activities of rheumatoid arthritis and infection by human parvovirus B19.

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    Kakurina, Natalja; Kadisa, Anda; Lejnieks, Aivars; Mikazane, Helena; Kozireva, Svetlana; Murovska, Modra

    2015-01-01

    We evaluated a possible correlation between the clinical activities of rheumatoid arthritis (RA) and human parvovirus B19 (B19) infection using exploratory factor analysis (EFA). RA patients were organized into two groups: 100 patients in the main group and 97 in the RA(DAS28) group. Four subgroups were defined from the main group according to the presence or absence of certain infection-specific markers: group I comprised 43 patients who had IgG antibodies against B19; group II, 25 patients with active B19 infection (B19-specific IgM antibodies and/or plasma viremia); group III, 19 patients with latent/persistent B19 infection (virus-specific sequences in peripheral blood leukocytes' DNA with or without B19-specific IgG antibodies), and group IV, 13 patients without infection markers. The RA(DAS28) group was divided into four subgroups similarly to the main group: group I, 35; group II, 31; group III, 19; and group IV, 12 patients. Disease-specific clinical values in both groups were analyzed employing EFA, and the RA(DAS28) group was additionally assessed using Disease Activity Score (DAS)28. RA activity was higher in patients who had markers of B19 infection. The highest activity of RA in both study groups was in patients with latent/persistent infection. In the RA(DAS28) group, according to DAS28, the highest activity of RA was in patients with active B19 infection. Using EFA and DAS28, a correlation between the clinical activity of RA and B19 infection was confirmed. These data suggest that EFA is applicable for medico-biological studies. Copyright © 2015 Lithuanian University of Health Sciences. Production and hosting by Elsevier Urban & Partner Sp. z o.o. All rights reserved.

  4. Complementary Exploratory and Confirmatory Factor Analyses of the French WISC-V: Analyses Based on the Standardization Sample.

    Science.gov (United States)

    Lecerf, Thierry; Canivez, Gary L

    2017-12-28

    Interpretation of the French Wechsler Intelligence Scale for Children-Fifth Edition (French WISC-V; Wechsler, 2016a) is based on a 5-factor model including Verbal Comprehension (VC), Visual Spatial (VS), Fluid Reasoning (FR), Working Memory (WM), and Processing Speed (PS). Evidence for the French WISC-V factorial structure was established exclusively through confirmatory factor analyses (CFAs). However, as recommended by Carroll (1995); Reise (2012), and Brown (2015), factorial structure should derive from both exploratory factor analysis (EFA) and CFA. The first goal of this study was to examine the factorial structure of the French WISC-V using EFA. The 15 French WISC-V primary and secondary subtest scaled scores intercorrelation matrix was used and factor extraction criteria suggested from 1 to 4 factors. To disentangle the contribution of first- and second-order factors, the Schmid and Leiman (1957) orthogonalization transformation (SLT) was applied. Overall, no EFA evidence for 5 factors was found. Results indicated that the g factor accounted for about 67% of the common variance and that the contributions of the first-order factors were weak (3.6 to 11.9%). CFA was used to test numerous alternative models. Results indicated that bifactor models produced better fit to these data than higher-order models. Consistent with previous studies, findings suggested dominance of the general intelligence factor and that users should thus emphasize the Full Scale IQ (FSIQ) when interpreting the French WISC-V. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

  5. Factor structure and item level psychometrics of the Social Problem Solving Inventory-Revised: Short Form in traumatic brain injury.

    Science.gov (United States)

    Li, Chih-Ying; Waid-Ebbs, Julia; Velozo, Craig A; Heaton, Shelley C

    2016-01-01

    Social problem-solving deficits characterise individuals with traumatic brain injury (TBI), and poor social problem solving interferes with daily functioning and productive lifestyles. Therefore, it is of vital importance to use the appropriate instrument to identify deficits in social problem solving for individuals with TBI. This study investigates factor structure and item-level psychometrics of the Social Problem Solving Inventory-Revised: Short Form (SPSI-R:S), for adults with moderate and severe TBI. Secondary analysis of 90 adults with moderate and severe TBI who completed the SPSI-R:S was performed. An exploratory factor analysis (EFA), principal components analysis (PCA) and Rasch analysis examined the factor structure and item-level psychometrics of the SPSI-R:S. The EFA showed three dominant factors, with positively worded items represented as the most definite factor. The other two factors are negative problem-solving orientation and skills; and negative problem-solving emotion. Rasch analyses confirmed the three factors are each unidimensional constructs. It was concluded that the total score interpretability of the SPSI-R:S may be challenging due to the multidimensional structure of the total measure. Instead, we propose using three separate SPSI-R:S subscores to measure social problem solving for the TBI population.

  6. Factor Structure and Item Level Psychometrics of the Social Problem Solving Inventory Revised-Short Form in Traumatic Brain Injury

    Science.gov (United States)

    Li, Chih-Ying; Waid-Ebbs, Julia; Velozo, Craig A.; Heaton, Shelley C.

    2016-01-01

    Primary Objective Social problem solving deficits characterize individuals with traumatic brain injury (TBI). Poor social problem solving interferes with daily functioning and productive lifestyles. Therefore, it is of vital importance to use the appropriate instrument to identify deficits in social problem solving for individuals with TBI. This study investigates factor structure and item-level psychometrics of the Social Problem Solving Inventory-Revised Short Form (SPSI-R:S), for adults with moderate and severe TBI. Research Design Secondary analysis of 90 adults with moderate and severe TBI who completed the SPSI-R:S. Methods and Procedures An exploratory factor analysis (EFA), principal components analysis (PCA) and Rasch analysis examined the factor structure and item-level psychometrics of the SPSI-R:S. Main Outcomes and Results The EFA showed three dominant factors, with positively worded items represented as the most definite factor. The other two factors are negative problem solving orientation and skills; and negative problem solving emotion. Rasch analyses confirmed the three factors are each unidimensional constructs. Conclusions The total score interpretability of the SPSI-R:S may be challenging due to the multidimensional structure of the total measure. Instead, we propose using three separate SPSI-R:S subscores to measure social problem solving for the TBI population. PMID:26052731

  7. Higher- and Lower-Order Factor Analyses of the Temperament in Middle Childhood Questionnaire

    Science.gov (United States)

    Kotelnikova, Yuliya; Olino, Thomas M.; Klein, Daniel N.; Mackrell, Sarah V.M.; Hayden, Elizabeth P.

    2017-01-01

    The Temperament in Middle Childhood Questionnaire (TMCQ; Simonds & Rothbart, 2004) is a widely used parent-report measure of temperament. However, neither its lower- nor higher-order structures have been tested via a bottom-up, empirically based approach. We conducted higher- and lower-order exploratory factor analyses (EFAs) of the TMCQ in a large (N = 654) sample of 9-year-olds. Item-level EFAs identified 92 items as suitable (i.e., with loadings ≥.40) for constructing lower-order factors, only half of which resembled a TMCQ scale posited by the measure’s authors. Higher-order EFAs of the lower-order factors showed that a three-factor structure (Impulsivity/Negative Affectivity, Negative Affectivity, and Openness/Assertiveness) was the only admissible solution. Overall, many TMCQ items did not load well onto a lower-order factor. In addition, only three factors, which did not show a clear resemblance to Rothbart’s four-factor model of temperament in middle childhood, were needed to account for the higher-order structure of the TMCQ. PMID:27002124

  8. Component analysis and initial validity of the exercise fear avoidance scale.

    Science.gov (United States)

    Wingo, Brooks C; Baskin, Monica; Ard, Jamy D; Evans, Retta; Roy, Jane; Vogtle, Laura; Grimley, Diane; Snyder, Scott

    2013-01-01

    To develop the Exercise Fear Avoidance Scale (EFAS) to measure fear of exercise-induced discomfort. We conducted principal component analysis to determine component structure and Cronbach's alpha to assess internal consistency of the EFAS. Relationships between EFAS scores, BMI, physical activity, and pain were analyzed using multivariate regression. The best fit was a 3-component structure: weight-specific fears, cardiorespiratory fears, and musculoskeletal fears. Cronbach's alpha for the EFAS was α=.86. EFAS scores significantly predicted BMI, physical activity, and PDI scores. Psychometric properties of this scale suggest it may be useful for tailoring exercise prescriptions to address fear of exercise-related discomfort.

  9. Research needs in allergy: an EAACI position paper, in collaboration with EFA

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    Papadopoulos Nikolaos G

    2012-11-01

    Full Text Available Abstract In less than half a century, allergy, originally perceived as a rare disease, has become a major public health threat, today affecting the lives of more than 60 million people in Europe, and probably close to one billion worldwide, thereby heavily impacting the budgets of public health systems. More disturbingly, its prevalence and impact are on the rise, a development that has been associated with environmental and lifestyle changes accompanying the continuous process of urbanization and globalization. Therefore, there is an urgent need to prioritize and concert research efforts in the field of allergy, in order to achieve sustainable results on prevention, diagnosis and treatment of this most prevalent chronic disease of the 21st century. The European Academy of Allergy and Clinical Immunology (EAACI is the leading professional organization in the field of allergy, promoting excellence in clinical care, education, training and basic and translational research, all with the ultimate goal of improving the health of allergic patients. The European Federation of Allergy and Airways Diseases Patients’ Associations (EFA is a non-profit network of allergy, asthma and Chronic Obstructive Pulmonary Disorder (COPD patients’ organizations. In support of their missions, the present EAACI Position Paper, in collaboration with EFA, highlights the most important research needs in the field of allergy to serve as key recommendations for future research funding at the national and European levels. Although allergies may involve almost every organ of the body and an array of diverse external factors act as triggers, there are several common themes that need to be prioritized in research efforts. As in many other chronic diseases, effective prevention, curative treatment and accurate, rapid diagnosis represent major unmet needs. Detailed phenotyping/endotyping stands out as widely required in order to arrange or re-categorize clinical syndromes into

  10. Debating International Learner Assessments as a Proxy Measure of Quality of Education in the Context of EFA--A Review Essay

    Science.gov (United States)

    Mulongo, Godfrey

    2014-01-01

    This review essay looks at three publications that discuss the contentious issue of evaluating education quality (Note 1) by learner outcomes as a proxy indicator (Note 2). The essay explores the debates, gaps and proposes recommendations in the context of Education For All (EFA) (Note 3). The three articles reviewed are Harvey Goldstein's (2004)…

  11. Assessing vocational outcome expectancy in individuals with serious mental illness: a factor-analytic approach.

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    Iwanaga, Kanako; Umucu, Emre; Wu, Jia-Rung; Yaghmaian, Rana; Lee, Hui-Ling; Fitzgerald, Sandra; Chan, Fong

    2017-07-04

    Self-determination theory (SDT) and self-efficacy theory (SET) can be used to conceptualize self-determined motivation to engage in mental health and vocational rehabilitation (VR) services and to predict recovery. To incorporate SDT and SET as a framework for vocational recovery, developing and validating SDT/SET measures in vocational rehabilitation is warranted. Outcome expectancy is an important SDT/SET variable affecting rehabilitation engagement and recovery. The purpose of this study was to validate the Vocational Outcome Expectancy Scale (VOES) for use within the SDT/SET vocational recovery framework. One hundred and twenty-four individuals with serious mental illness (SMI) participated in this study. Measurement structure of the VOES was evaluated using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). Both EFA and CFA results supported a two-factor structure: (a) positive outcome expectancy, and (b) negative outcome expectancy. The internal consistency reliability coefficients for both factors were acceptable. In addition, positive outcome expectancy correlated stronger than negative outcome expectancy with other SDT/SET constructs in the expected directions. The VOES is a brief, reliable and valid instrument for assessing vocational outcome expectancy in individuals with SMI that can be integrated into SDT/SET as a vocational rehabilitation engagement and recovery model in psychiatric rehabilitation.

  12. Factor selection for service quality evaluation: a hospital case study.

    Science.gov (United States)

    Ameryoun, Ahmad; Najafi, Seyedvahid; Nejati-Zarnaqi, Bayram; Khalilifar, Seyed Omid; Ajam, Mahdi; Ansarimoghadam, Ahmad

    2017-02-13

    Purpose The purpose of this paper is to develop a systematic approach to predict service quality dimension's influence on service quality using a novel analysis based on data envelopment and SERVQUAL. Design/methodology/approach To assess hospital service quality in Tehran, expectation and perception of those who received the services were evaluated using SERVQUAL. The hospital service quality dimensions were found by exploratory factor analysis (EFA). To compare customer expectation and perception, perceived service quality index (PSQI) was measured using a new method based on common weights. A novel sensitivity approach was used to test the service quality factor's impact on the PSQI. Findings A new service quality dimension named "trust in services" was found using EFA, which is not an original SERVQUAL factor. The approach was applied to assess the hospital's service quality. Since the PSQI value was 0.76 it showed that improvements are needed to meet customer expectations. The results showed the factor order that affect PSQI. "Trust in services" has the strongest influence on PSQI followed by "tangibles," "assurance," "empathy," and "responsiveness," respectively. Practical implications This work gives managers insight into service quality by following a systematic method; i.e., measuring perceived service quality from the customer viewpoint and service factors' impact on customer perception. Originality/value The procedure helps managers to select the required service quality dimensions which need improvement and predict their effects on customer perception.

  13. Exploring the Factor Structure of Neurocognitive Measures in Older Individuals

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    Santos, Nadine Correia; Costa, Patrício Soares; Amorim, Liliana; Moreira, Pedro Silva; Cunha, Pedro; Cotter, Jorge; Sousa, Nuno

    2015-01-01

    Here we focus on factor analysis from a best practices point of view, by investigating the factor structure of neuropsychological tests and using the results obtained to illustrate on choosing a reasonable solution. The sample (n=1051 individuals) was randomly divided into two groups: one for exploratory factor analysis (EFA) and principal component analysis (PCA), to investigate the number of factors underlying the neurocognitive variables; the second to test the “best fit” model via confirmatory factor analysis (CFA). For the exploratory step, three extraction (maximum likelihood, principal axis factoring and principal components) and two rotation (orthogonal and oblique) methods were used. The analysis methodology allowed exploring how different cognitive/psychological tests correlated/discriminated between dimensions, indicating that to capture latent structures in similar sample sizes and measures, with approximately normal data distribution, reflective models with oblimin rotation might prove the most adequate. PMID:25880732

  14. An Exploratory Analysis of TPACK Perceptions of Pre-Service Science Teachers: A Regional Australian Perspective

    Science.gov (United States)

    Reyes, Vicente Chua, Jr.; Rizk, Nadya; Gregory, Sue; Doyle, Helen

    2016-01-01

    Four distinct constructs were identified from a survey of a sample of pre-service science teachers at a regional Australian University. The constructs emerged after employing Exploratory Factor Analysis (EFA) on respondents' perceptions of pedagogical practices incorporating the use of Information Communication and Technology (ICT). The key…

  15. A Comparative Analysis on Assessment of Land Carrying Capacity with Ecological Footprint Analysis and Index System Method.

    Directory of Open Access Journals (Sweden)

    Yao Qian

    Full Text Available Land carrying capacity (LCC explains whether the local land resources are effectively used to support economic activities and/or human population. LCC can be evaluated commonly with two approaches, namely ecological footprint analysis (EFA and the index system method (ISM. EFA is helpful to investigate the effects of different land categories whereas ISM can be used to evaluate the contributions of social, environmental, and economic factors. Here we compared the two LCC-evaluation approaches with data collected from Xiamen City, a typical region where rapid economic growth and urbanization are found in China. The results show that LCC assessments with EFA and ISM not only complement each other but also are mutually supportive. Both assessments suggest that decreases in arable land and increasingly high energy consumption have major negative effects on LCC and threaten sustainable development for Xiamen City. It is important for the local policy makers, planners and designers to reduce ecological deficits by controlling fossil energy consumption, protecting arable land and forest land from converting into other land types, and slowing down the speed of urbanization, and to promote sustainability by controlling rural-to-urban immigration, increasing hazard-free treatment rate of household garbage, and raising energy consumption per unit industrial added value. Although EFA seems more appropriate for estimating LCC for a resource-output or self-sufficient region and ISM is more suitable for a resource-input region, both approaches should be employed when perform LCC assessment in any places around the world.

  16. Deriving a preference-based utility measure for cancer patients from the European Organisation for the Research and Treatment of Cancer’s Quality of Life Questionnaire C30: a confirmatory versus exploratory approach

    Science.gov (United States)

    Costa, Daniel SJ; Aaronson, Neil K; Fayers, Peter M; Grimison, Peter S; Janda, Monika; Pallant, Julie F; Rowen, Donna; Velikova, Galina; Viney, Rosalie; Young, Tracey A; King, Madeleine T

    2014-01-01

    Background Multi attribute utility instruments (MAUIs) are preference-based measures that comprise a health state classification system (HSCS) and a scoring algorithm that assigns a utility value to each health state in the HSCS. When developing a MAUI from a health-related quality of life (HRQOL) questionnaire, first a HSCS must be derived. This typically involves selecting a subset of domains and items because HRQOL questionnaires typically have too many items to be amendable to the valuation task required to develop the scoring algorithm for a MAUI. Currently, exploratory factor analysis (EFA) followed by Rasch analysis is recommended for deriving a MAUI from a HRQOL measure. Aim To determine whether confirmatory factor analysis (CFA) is more appropriate and efficient than EFA to derive a HSCS from the European Organisation for the Research and Treatment of Cancer’s core HRQOL questionnaire, Quality of Life Questionnaire (QLQ-C30), given its well-established domain structure. Methods QLQ-C30 (Version 3) data were collected from 356 patients receiving palliative radiotherapy for recurrent/metastatic cancer (various primary sites). The dimensional structure of the QLQ-C30 was tested with EFA and CFA, the latter informed by the established QLQ-C30 structure and views of both patients and clinicians on which are the most relevant items. Dimensions determined by EFA or CFA were then subjected to Rasch analysis. Results CFA results generally supported the proposed QLQ-C30 structure (comparative fit index =0.99, Tucker–Lewis index =0.99, root mean square error of approximation =0.04). EFA revealed fewer factors and some items cross-loaded on multiple factors. Further assessment of dimensionality with Rasch analysis allowed better alignment of the EFA dimensions with those detected by CFA. Conclusion CFA was more appropriate and efficient than EFA in producing clinically interpretable results for the HSCS for a proposed new cancer-specific MAUI. Our findings suggest

  17. Measuring Women's Empowerment in Sub-Saharan Africa: Exploratory and Confirmatory Factor Analyses of the Demographic and Health Surveys

    Directory of Open Access Journals (Sweden)

    Ibitola O. Asaolu

    2018-06-01

    Full Text Available Background: Women's status and empowerment influence health, nutrition, and socioeconomic status of women and their children. Despite its benefits, however, research on women's empowerment in Sub-Saharan Africa (SSA is limited in scope and geography. Empowerment is variably defined and data for comparison across regions is often limited. The objective of the current study was to identify domains of empowerment from a widely available data source, Demographic and Health Surveys, across multiple regions in SSA.Methods: Demographic and Health Surveys from nineteen countries representing four African regions were used for the analysis. A total of 26 indicators across different dimensions (economic, socio-cultural, education, and health were used to characterize women's empowerment. Pooled data from all countries were randomly divided into two datasets—one for exploratory factor analysis (EFA and the other for Confirmatory Factor Analysis (CFA—to verify the factor structure hypothesized during EFA.Results: Four factors including attitudes toward violence, labor force participation, education, and access to healthcare were found to define women's empowerment in Central, Southern, and West Africa. However, in East Africa, only three factors were relevant: attitudes toward violence, access to healthcare ranking, and labor force participation. There was limited evidence to support household decision-making, life course, or legal status domains as components of women's empowerment.Conclusion: This foremost study advances scholarship on women's empowerment by providing a validated measure of women's empowerment for researchers and other stakeholders in health and development.

  18. Analysis and control of issues that delay pharmaceutical projects

    Directory of Open Access Journals (Sweden)

    Nallam Sai Nandeswara Rao

    2015-10-01

    Full Text Available Every project will have certain objectives and service levels to be achieved. The success of a project depends on several dimensions like time, cost/budget, quality, etc. and managing a project involves completing the project within time, within budget and with quality to satisfy the users. Because of the significance of health, pharmaceutical companies realized the importance of project management methods and techniques to make available the life saving drugs in time to the needy patients and hospitals. In literature, there is meager information about pharmaceutical project management oriented towards analysis of issues and factors that contribute to the failure or success of projects. This study attempts to analyse different issues that contribute to time delays in pharmaceutical product-based projects, group them under a finite set of prominent factors and identify remedial measures to control those delays. The feedback of project people of some big pharmaceutical firms of Indian sub-continent was collected for this purpose. Exploratory factor analysis (EFA has been used to reduce the reasons for time delays to a limited number of prominent factors and the EFA model has been further examined by confirmatory factor analysis (CFA for its validation. Remedial measures under each factor of time delays have been gathered and a framework designed to mitigate the time delays in pharmaceutical projects. The derived factors that delay the pharmaceutical projects include resource, monitoring & control, scheduling and planning problems. Important remedial measures like blended resource approach, estimation and forecast of shortage of labour and skills, regular quality training, etc. have been recommended.

  19. Development and Validation of Videogame Addiction Scale for Children (VASC).

    Science.gov (United States)

    Yılmaz, Eyüp; Griffiths, Mark D; Kan, Adnan

    2017-01-01

    The aim of the present study was to develop a valid and reliable Videogame Addiction Scale for Children (VASC). The data were derived from 780 children who completed the Videogame Addiction Scale (405 girls and 375 boys; 48.1% ranging in age from 9 to 12 years). The sample was randomly split into two different sub-samples (sample 1, n  = 400; sample 2, n  = 380). Sample 1 was used to perform exploratory factor analysis (EFA) to define the factorial structure of VASC. As a result of EFA, a four-factor structure comprising 21 items was obtained and explained 55% of the total variance (the four factors being "self-control," "reward/reinforcement," "problems," and "involvement"). The internal consistency reliability of VASC has found 0.89. Confirmatory factor analysis (CFA) was performed to confirm the factorial structure obtained by EFA in the remaining half of sample ( n  = 390). The obtained fit indices from the CFA confirmed the structure of the EFA. The 21-item VASC has good psychometric properties that can be used among Turkish schoolchildren populations.

  20. Validating the 11-Item Revised University of California Los Angeles Scale to Assess Loneliness Among Older Adults: An Evaluation of Factor Structure and Other Measurement Properties.

    Science.gov (United States)

    Lee, Joonyup; Cagle, John G

    2017-11-01

    To examine the measurement properties and factor structure of the short version of the Revised University of California Los Angeles (R-UCLA) loneliness scale from the Health and Retirement Study (HRS). Based on data from 3,706 HRS participants aged 65 + who completed the 2012 wave of the HRS and its Psychosocial Supplement, the measurement properties and factorability of the R-UCLA were examined by conducting an exploratory factor analysis (EFA) and the confirmatory factor analysis (CFA) on randomly split halves. The average score for the 11-item loneliness scale was 16.4 (standard deviation: 4.5). An evaluation of the internal consistency produced a Cronbach's α of 0.87. Results from the EFA showed that two- and three-factor models were appropriate. However, based on the results of the CFA, only a two-factor model was determined to be suitable because there was a very high correlation between two factors identified in the three-factor model, available social connections and sense of belonging. This study provides important data on the properties of the 11-item R-UCLA scale by identifying a two-factor model of loneliness: feeling isolated and available social connections. Our findings suggest the 11-item R-UCLA has good factorability and internal reliability. Copyright © 2017 American Association for Geriatric Psychiatry. Published by Elsevier Inc. All rights reserved.

  1. Pier and contraction scour prediction in cohesive soils at selected bridges in Illinois

    Science.gov (United States)

    Straub, Timothy D.; Over, Thomas M.

    2010-01-01

    This report presents the results of testing the Scour Rate In Cohesive Soils-Erosion Function Apparatus (SRICOS-EFA) method for estimating scour depth of cohesive soils at 15 bridges in Illinois. The SRICOS-EFA method for complex pier and contraction scour in cohesive soils has two primary components. The first component includes the calculation of the maximum contraction and pier scour (Zmax). The second component is an integrated approach that considers a time factor, soil properties, and continued interaction between the contraction and pier scour (SRICOS runs). The SRICOS-EFA results were compared to scour prediction results for non-cohesive soils based on Hydraulic Engineering Circular No. 18 (HEC-18). On average, the HEC-18 method predicted higher scour depths than the SRICOS-EFA method. A reduction factor was determined for each HEC-18 result to make it match the maximum of three types of SRICOS run results. The unconfined compressive strength (Qu) for the soil was then matched with the reduction factor and the results were ranked in order of increasing Qu. Reduction factors were then grouped by Qu and applied to each bridge site and soil. These results, and comparison with the SRICOS Zmax calculation, show that less than half of the reduction-factor method values were the lowest estimate of scour; whereas, the Zmax method values were the lowest estimate for over half. A tiered approach to predicting pier and contraction scour was developed. There are four levels to this approach numbered in order of complexity, with the fourth level being a full SRICOS-EFA analysis. Levels 1 and 2 involve the reduction factors and Zmax calculation, and can be completed without EFA data. Level 3 requires some surrogate EFA data. Levels 3 and 4 require streamflow for input into SRICOS. Estimation techniques for both EFA surrogate data and streamflow data were developed.

  2. Determinant factors in the integration of information and communication technologies in teaching

    Directory of Open Access Journals (Sweden)

    Eric A. Bordios

    2016-12-01

    Full Text Available Binary Logistic Regression and Exploratory Factor Analysis (EFA were employed to determine factors that can influence teachers’ decision whether or not to integrate Information and communication technology (ICT in teaching and also to uncover ABC (Attitudes, Beliefs, Confidence as the factors to be considered which subsequently came out as predictors of the study along with age and grade level taught. Results implied that along with the efforts of the government to provide physical resources to implement the Department of Education Computerization Program, teachers as the main drivers of this initiative must be engaged in conceptual change regarding their ABC toward ICTintegration.

  3. FACTORS AFFECTING CITY DESTINATION CHOICE AMONG YOUNG PEOPLE IN SERBIA

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    Nemanja Tomić

    2015-07-01

    Full Text Available The main goal of this study is to explore factors which influence city destination choice among young people in Serbia. In order to achieve this we conducted a survey consisting of 20 different items influencing the choice of city destination. Afterwards the principal component exploratory factor analysis (EFA was carried out in order to extract factors. T-test and ANOVA test were also used to determine if there is a difference between different gender and age groups in terms of which factors influence their choice of a city destination. The results indicate four motivating factors extracted by factor analysis, from which Good hospitality and restaurant service seems to be the major motivating factor. The results also show that respondents belonging to the age group of under 25 give more importance to Information and promotion as well as to Good hospitality and restaurant service than those belonging to older age groups. The same two factors are also more important to females than males.

  4. The Dimensions of Facebook Addiction as Measured by Facebook Addiction Italian Questionnaire and Their Relationships with Individual Differences.

    Science.gov (United States)

    Caci, Barbara; Cardaci, Maurizio; Scrima, Fabrizio; Tabacchi, Marco Elio

    2017-04-01

    The studies reported analyze the factorial structure of Facebook Addiction Italian Questionnaire (FAIQ), a variant of 20-item Young's Internet Addiction Test (IAT). In Study 1, we tested FAIQ psychometric properties using exploratory factor analysis (EFA). In Study 2, we performed a confirmatory factor analysis (CFA) to verify the FAIQ factorial structure identified through EFA. Results from CFA confirm the presence of a four-factor model accounting for 58 percent of total variance, plus a general higher order factor that best fits the data. Further relationships between FAIQ factor scores, personality, and Facebook usage have been explored.

  5. Symptom structure and severity: a comparison of responses to the positive and negative syndrome scale (PANSS) between patients with PTSD or schizophrenia.

    Science.gov (United States)

    Stefanovics, Elina A; Krystal, John H; Rosenheck, Robert A

    2014-05-01

    To describe and compare the structure and relative severity of symptoms in clinical trial patients diagnosed with Post Traumatic Stress Disorder (PTSD) or schizophrenia using the Positive and Negative Syndrome Scale (PANSS), developed originally to evaluate symptoms of schizophrenia. This secondary data analysis used baseline PANSS symptom ratings (n=267) from a six-month multicenter randomized placebo-controlled trial of adjunctive risperidone in patients with chronic military-related PTSD. First, using a split-half design, Exploratory Factor Analysis (EFA) was employed to identify independent factors which were then compared to published factor structures for schizophrenia. Next, Confirmatory Factor Analysis (CFA) was applied to the second half of the sample to compare the results of the EFA and published factor structures. Finally, T-tests were used to compare the severity of factor scores between the PTSD sample and the baseline PANSS ratings from the Clinical Antipsychotic Trial for Intervention Effectiveness (CATIE) schizophrenia sample (n=1460). EFA suggested five factors similar to those identified in a summary of 29 schizophrenia studies by Wallwork (Schizophrenia Research, 137:246-250). CFA showed that the five factor Wallwork model fit the data better than the EFA, although both had relatively high goodness of fit. T-tests showed that the PTSD sample had more severe symptoms on the Depressive factor, and the schizophrenia sample on the Positive, Negative, and Disorganized factors, with no significant difference on the Excited factor. Veterans with PTSD had similar symptom structure to patients with schizophrenia on the PANSS, but were less symptomatic on psychosis-related factors and more symptomatic on depression. Dimensional symptom factors can be virtually the same across diagnoses. Published by Elsevier Inc.

  6. Elimination of chromatographic and mass spectrometric problems in GC-MS analysis of Lavender essential oil by multivariate curve resolution techniques: Improving the peak purity assessment by variable size moving window-evolving factor analysis.

    Science.gov (United States)

    Jalali-Heravi, Mehdi; Moazeni-Pourasil, Roudabeh Sadat; Sereshti, Hassan

    2015-03-01

    In analysis of complex natural matrices by gas chromatography-mass spectrometry (GC-MS), many disturbing factors such as baseline drift, spectral background, homoscedastic and heteroscedastic noise, peak shape deformation (non-Gaussian peaks), low S/N ratio and co-elution (overlapped and/or embedded peaks) lead the researchers to handle them to serve time, money and experimental efforts. This study aimed to improve the GC-MS analysis of complex natural matrices utilizing multivariate curve resolution (MCR) methods. In addition, to assess the peak purity of the two-dimensional data, a method called variable size moving window-evolving factor analysis (VSMW-EFA) is introduced and examined. The proposed methodology was applied to the GC-MS analysis of Iranian Lavender essential oil, which resulted in extending the number of identified constituents from 56 to 143 components. It was found that the most abundant constituents of the Iranian Lavender essential oil are α-pinene (16.51%), camphor (10.20%), 1,8-cineole (9.50%), bornyl acetate (8.11%) and camphene (6.50%). This indicates that the Iranian type Lavender contains a relatively high percentage of α-pinene. Comparison of different types of Lavender essential oils showed the composition similarity between Iranian and Italian (Sardinia Island) Lavenders. Published by Elsevier B.V.

  7. Minapolitan region development analysis at Penajam Paser Utara using blue economy concept

    Science.gov (United States)

    Mawarsari, P. M.; Dewanti, A. N.; Nurrahman, F.

    2017-06-01

    Penajam Paser Utara (PPU) Region in East Kalimantan was assigned as one of Minapolitan area in Indonesia focusing on aquaculture based on Indonesia Ministry of Maritime Affairs and Fisheries Decision Number 35 in 2013. Unfortunately, it is shown from PPU region statistics data that decreasing fisheries production in PPU region was occur especially for land fisheries from 2013 until 2015. The aim of this study is to formulate development strategies of Minapolitan in PPU Region by the Blue Economy concept. Several variables such as fisheries and aquaculture aspects, processing and marketing, incomes and workers, also sustainability and economic paradigm is evaluated in this study. Firstly it needs to identify the potential of character and problem by reviewing Minapolitan area in PPU Region with descriptive comparative analysis. Secondly, the fruitfulness of Minapolitan activity in PPU Region impact factors was identified by using internal and external factor (IFAS and EFAS) analysis. Then some of strategic considerations was formulated by using the successful development indicator in Minapolitan area that associate to the Blue Economy concept with SWOT analysis. The result of IFAS analysis show the highest score of strength that is production and commodity productivity. Contrarily, the income level factor is become the highest score at weakness. Then, the EFAS analysis declare that marketing system is the highest factor in opportunity. The position of SWOT quadrant indicate that the Minapolitan area of PPU region is in quadrant I /or first quadrant which means progressive. Therefore, the Minapolitan in PPU have a great chance to increase the cultivation optimally. The results of SWOT matrix is to increase its product and productivity by upgrading the quality and quantity production facilities, raising the control of production activites and also increasing the supervision of processing business with sustainable management business principle.

  8. Measuring Stigma in Older and Younger Adults with HIV/AIDS: An Analysis of an HIV Stigma Scale and Initial Exploration of Subscales

    Science.gov (United States)

    Emlet, Charles A.

    2005-01-01

    The purpose of this study is to explore the validity of a scale designed to measure HIV stigma and identify potential subscales. A nonrandom sample of 88 individuals, 44 between the ages of 20 and 39 and 44 ages 50 and older, living with HIV/AIDS were interviewed and completed a 13-item HIV Stigma Scale. An exploratory factor analysis (EFA) found…

  9. Energy flow analysis of out-of-plane vibration in coplanar coupled finite Mindlin plates

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    Young-Ho Park

    2015-01-01

    Full Text Available : In this paper, an Energy Flow Analysis (EFA for coplanar coupled Mindlin plates was performed to estimate their dynamic responses at high frequencies. Mindlin plate theory can consider the effects of shear distortion and rotatory inertia, which are very important at high frequencies. For EFA for coplanar coupled Mindlin plates, the wave transmission and reflection relationship for progressing out-of-plane waves (out-of-plane shear wave, bending dominant flexural wave, and shear dominant flexural wave in coplanar coupled Mindlin plates was newly derived. To verify the validity of the EFA results, numerical analyses were performed for various cases where coplanar coupled Mindlin plates are excited by a harmonic point force, and the energy flow solutions for coplanar coupled Mindlin plates were compared with the classical solutions in the various conditions.

  10. Swiping right for love? : A study about the relationship between Tinder usage and self-esteem

    OpenAIRE

    Rönnestad, Marit

    2017-01-01

    In order of measuring the relationship between Tinder intensity and self-esteem, the Tinder Intensity Scale was developed in this present study. The scale was developed with help from exploratory factor analysis (EFA) measuring dimensionality and Cronbach's alpha testing the interrelations between the scale items. The EFA found that the Tinder Intensity Scale (Cronbach’s alpha 0.75) consists of two dimensions, one measuring frequency and emotional connection and the other measured dating beha...

  11. Quantifying the Strength of General Factors in Psychopathology: A Comparison of CFA with Maximum Likelihood Estimation, BSEM, and ESEM/EFA Bifactor Approaches.

    Science.gov (United States)

    Murray, Aja Louise; Booth, Tom; Eisner, Manuel; Obsuth, Ingrid; Ribeaud, Denis

    2018-05-22

    Whether or not importance should be placed on an all-encompassing general factor of psychopathology (or p factor) in classifying, researching, diagnosing, and treating psychiatric disorders depends (among other issues) on the extent to which comorbidity is symptom-general rather than staying largely within the confines of narrower transdiagnostic factors such as internalizing and externalizing. In this study, we compared three methods of estimating p factor strength. We compared omega hierarchical and explained common variance calculated from confirmatory factor analysis (CFA) bifactor models with maximum likelihood (ML) estimation, from exploratory structural equation modeling/exploratory factor analysis models with a bifactor rotation, and from Bayesian structural equation modeling (BSEM) bifactor models. Our simulation results suggested that BSEM with small variance priors on secondary loadings might be the preferred option. However, CFA with ML also performed well provided secondary loadings were modeled. We provide two empirical examples of applying the three methodologies using a normative sample of youth (z-proso, n = 1,286) and a university counseling sample (n = 359).

  12. Deriving a preference-based utility measure for cancer patients from the European Organisation for the Research and Treatment of Cancer's Quality of Life Questionnaire C30: a confirmatory versus exploratory approach

    Directory of Open Access Journals (Sweden)

    Costa DSJ

    2014-11-01

    Full Text Available Daniel SJ Costa,1 Neil K Aaronson,2 Peter M Fayers,3,4 Peter S Grimison,5,6 Monika Janda,7 Julie F Pallant,8 Donna Rowen,9 Galina Velikova,10 Rosalie Viney,11 Tracey A Young,9 Madeleine T King1On behalf of the MAUCa Consortium1Psycho-oncology Co-operative Research Group, University of Sydney, Sydney, NSW, Australia; 2Division of Psychosocial Research and Epidemiology, The Netherlands Cancer Institute, Amsterdam, the Netherlands; 3Institute of Applied Health Sciences, University of Aberdeen, Aberdeen, UK; 4Department of Cancer Research and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway; 5Chris O'Brien Lifehouse, 6Sydney Medical School, University of Sydney, Sydney, NSW, 7School of Public Health, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, QLD, 8Rural Health Academic Centre, University of Melbourne, Shepparton, VIC, Australia; 9School of Health and Related Research, University of Sheffield, Sheffield; 10University of Leeds, St James's Institute of Oncology, Leeds, UK; 11Centre for Health Economics Research and Evaluation, University of Technology, Sydney, NSW, AustraliaBackground: Multi attribute utility instruments (MAUIs are preference-based measures that comprise a health state classification system (HSCS and a scoring algorithm that assigns a utility value to each health state in the HSCS. When developing a MAUI from a health-related quality of life (HRQOL questionnaire, first a HSCS must be derived. This typically involves selecting a subset of domains and items because HRQOL questionnaires typically have too many items to be amendable to the valuation task required to develop the scoring algorithm for a MAUI. Currently, exploratory factor analysis (EFA followed by Rasch analysis is recommended for deriving a MAUI from a HRQOL measure.Aim: To determine whether confirmatory factor analysis (CFA is more appropriate and efficient than EFA to derive a HSCS

  13. Measuring motivation and volition of nursing students in nontraditional learning environments.

    Science.gov (United States)

    Nagelsmith, Laurie; Bryer, Jason; Yan, Zheng

    2012-01-01

    The purpose of this study was to identify the best fitting model to represent interrelationships between motivation, volition, and academic success for adult nursing students learning in nontraditional environments. Participants (N=297) completed a survey that incorporated two measures: the Motivated Strategies for Learning Questionnaire (MSLQ) and the academic volitional strategies inventory (AVSI) as well as demographic information. Exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and structural equation modeling (SEM) were used for data analysis. In phase 1, EFA resulted in factors that generally aligned with previous theoretical factors as defined by the psychometrics used. In Phase 2 of the analysis, CFA validated the use of predefined factor structures. In Phase 3, SEM analysis revealed that motivation has a larger effect on grade point average (GPA; beta = .28, p motivation and volition (r = .42, p motivation, volition, and academic success for adult learners studying in nontraditional learning environments. These findings are consistent with and elaborate the relationship between motivation and volition with a population and setting underrepresented in the research.

  14. Evaluation of the Factor Structure of the Obstacles to Engagement Scale with Low-income African American Parents

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    Deborah Winders Davis

    2014-12-01

    Full Text Available Objective: Parenting anticipatory guidance is one way to promote optimal child health and development and minimize disparities between children from lower socio-economic status families and their higher income peers. However, low rates of attendance at and completion of parenting programs has been demonstrated. Understanding barriers to participation has important implications. The Obstacles to Engagement Scale (OES has been used in some populations, but it has not been evaluated for use with low-income African American samples. The aim of the current study is to evaluate the factor structure of the OES with a sample of low-income, African American parents.Method: Parents or legal guardians with children aged 3-8 years completed a survey in the waiting room of a primary care pediatric academic practice in an urban location in the southern United States of America (N = 114. Almost 87% had < 12th grade education and 93% of the children received Medicaid services. The OES was one measure from a larger study and only participants with complete data on the OES were included in the exploratory factor analysis (EFA.Results: The EFA did not support the previous 4-factor solution (intervention demands, personal or family stressors or obstacles, relevance of or trust in intervention, and time and scheduling demands. Instead, a 3-factor statistical solution emerged, but not all items held together conceptually.Conclusions: The current study supports the necessity for evaluating study instruments for use with specific populations. Larger samples are needed to disentangle the effects of educational and poverty status from race and ethnicity and to develop and validate instruments that are appropriate for the study population.

  15. Methods for coping with premenstrual change: Development and validation of the German Premenstrual Change Coping Inventory.

    Science.gov (United States)

    Kaiser, Gudrun; Kues, Johanna N; Kleinstäuber, Maria; Andersson, Gerhard; Weise, Cornelia

    2017-11-07

    During the premenstrual phase, psychological and physiological changes can occur, which are associated with different levels of disability. When they appear with Premenstrual Dysphoric Disorder (PMDD), different coping strategies may be used by women to deal with premenstrual changes. Currently no German measure exists for assessing premenstrual symptom-related coping strategies. Therefore, we developed the Premenstrual Change Coping Inventory (PMS-Cope). First, the 33-item questionnaire was tested with an exploratory factor analytic approach (EFA) in a sample of 150 women prospectively diagnosed with PMDD or severe Premenstrual Syndrome from August 2013 until March 2016. The EFA resulted in a 12-item scale with a two-factor structure: "seeking positive affect-inducing activities" and "seeking support"; Cronbach`s alpha of 0.73 and 0.71, respectively, demonstrated good reliability for both factors. Confirmatory factor analysis based on a second sample of 89 women conducted from May 2016 until June 2016 confirmed the two-factor structure. Additionally, a potential third factor "healthcare use behavior" was tested with an EFA. For the three-factor solution, satisfactory Cronbach's alpha values (0.70-0.72) were detected. The PMS-Cope was shown to be a valid, reliable, and economic measure. In future research, cross validations and confirmatory factor analyses with the three-factor solution should be conducted.

  16. Factor Structure of the Eating Disorder Examination Interview in Patients With Binge-eating Disorder

    Science.gov (United States)

    Grilo, Carlos M.; Crosby, Ross D.; Peterson, Carol B.; Masheb, Robin M.; White, Marney A.; Crow, Scott J.; Wonderlich, Stephen A.; Mitchell, James E.

    2013-01-01

    Despite the widespread use of the Eating Disorder Examination (EDE) as a primary assessment instrument in studies of eating and weight disorders, little is known about the psychometric aspects of this interview measure. The primary purpose of this study was to evaluate the factor structure of the EDE interview in a large series of patients with binge-eating disorder (BED). Participants were 688 treatment-seeking patients with BED who were reliably administered the EDE interview by trained research clinicians at three research centers. Exploratory factor analysis (EFA) performed on EDE interview data from a random split-half of the study group suggested a brief 7-item 3-factor structure. Confirmatory factor analysis (CFA) performed on the second randomly selected half of the study group supported this brief 3-factor structure of the EDE interview. The three factors were interpreted as Dietary Restraint, Shape/Weight Overvaluation, and Body Dissatisfaction. In this series of patients with BED, factor analysis of the EDE interview did not replicate the original subscales but revealed an alternative factor structure. Future research must further evaluate the psychometric properties, including the factor structure, of the EDE interview in this and other eating-disordered groups. The implications of these factor analytic findings for understanding and assessing the specific psychopathology of patients with BED are discussed. PMID:19798064

  17. Development of a Scale for the Attitude Towards Children’s Rights Education

    Directory of Open Access Journals (Sweden)

    Ayse Ozturk

    2017-09-01

    Full Text Available The objective of this study was to develop a Scale for the Attitude Towards Children’s Rights Education (ATCRE for teacher candidates. The study group was comprised of 550 classroom and pre-school teacher candidates in Turkey. Proofs regarding the construct validity of the scale were acquired via Exploratory Factor Analysis (EFA and Confirmatory Factor Analysis (CFA. A scale structure comprised of 20 items and three factors was reached as a result of EFA. It was determined that the three factors determined explain 68.188% of the total variance. CFA was carried out in order to check the validity of the construct acquired as a result of EFA. It was determined from the CFA fit indexes that GFI(.90, AGFI(.88 and NFI(.93 are at acceptable fit levels whereas X2/sd(CMIN/DF (1.234, CFI(.99, IFI(.99, RMSEA(.039, SRMR(.039 are at perfect fit levels. Cronbach Alpha (internal consistency reliability coefficients, test-retest reliability, item total correlations and item distinctiveness values were examined. Cronbach Alpha value for the whole scale was calculated as .914. Whereas the Cronbach Alpha values for the sub-factors of the scale were calculated respectively as .902, .930 and .881. In conclusion, it can be stated that a reliable and valid measurement instrument has been reached.

  18. The PMA Scale: A Measure of Physicians' Motivation to Adopt Medical Devices.

    Science.gov (United States)

    Hatz, Maximilian H M; Sonnenschein, Tim; Blankart, Carl Rudolf

    2017-04-01

    Studies have often stated that individual-level determinants are important drivers for the adoption of medical devices. Empirical evidence supporting this claim is, however, scarce. At the individual level, physicians' adoption motivation was often considered important in the context of adoption decisions, but a clear notion of its dimensions and corresponding measurement scales is not available. To develop and subsequently validate a scale to measure the motivation to adopt medical devices of hospital-based physicians. The development and validation of the physician-motivation-adoption (PMA) scale were based on a literature search, internal expert meetings, a pilot study with physicians, and a three-stage online survey. The data collected in the online survey were analyzed using exploratory factor analysis (EFA), and the PMA scale was revised according to the results. Confirmatory factor analysis (CFA) was conducted to test the results from the EFA in the third stage. Reliability and validity tests and subgroup analyses were also conducted. Overall, 457 questionnaires were completed by medical personnel of the National Health Service England. The EFA favored a six-factor solution to appropriately describe physicians' motivation. The CFA confirmed the results from the EFA. Our tests indicated good reliability and validity of the PMA scale. This is the first reliable and valid scale to measure physicians' adoption motivation. Future adoption studies assessing the individual level should include the PMA scale to obtain more information about the role of physicians' motivation in the broader adoption context. Copyright © 2017 International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc. All rights reserved.

  19. A General Procedure to Assess the Internal Structure of a Noncognitive Measure--The Student360 Insight Program (S360) Time Management Scale. Research Report. ETS RR-11-42

    Science.gov (United States)

    Ling, Guangming; Rijmen, Frank

    2011-01-01

    The factorial structure of the Time Management (TM) scale of the Student 360: Insight Program (S360) was evaluated based on a national sample. A general procedure with a variety of methods was introduced and implemented, including the computation of descriptive statistics, exploratory factor analysis (EFA), and confirmatory factor analysis (CFA).…

  20. Role of intrinsic factors in impulsive buying decision: An empirical study of young consumers

    Directory of Open Access Journals (Sweden)

    Shakeel Ahmad Sofi

    2017-06-01

    Full Text Available The primary aim of the current research was to study the effect of various intrinsic factors on consumer decision making vis-à-vis impulsive buying tendencies. After employing EFA and CFA on 630 consumers in the different parts of Jammu and Kashmir, results showed that intrinsic factors significantly influence the Impulsive Buying Decision. The application of Structural Equation Modeling disintegrated intrinsic factors into positive and negative influencers of impulsive buying behaviour. The present study has significant bearing in consumer world as it has highlighted through a model for how intrinsic factors shape the buying tendencies of a young consumer. Through the application of Multi Group Analysis, a comparison has been drawn between impulsive buying behaviour and various intrinsic factors across males and females taken as two different consumer groups. Overall results have been found significant and could well be adopted for strategy making by various stake holders in the field of consumer psychology and consumer behaviour to figure out the effects of intrinsic factors on buying behaviour.

  1. Development and Validation of a Self-reported Questionnaire for Measuring Internet Search Dependence.

    Science.gov (United States)

    Wang, Yifan; Wu, Lingdan; Zhou, Hongli; Xu, Jiaojing; Dong, Guangheng

    2016-01-01

    Internet search has become the most common way that people deal with issues and problems in everyday life. The wide use of Internet search has largely changed the way people search for and store information. There is a growing interest in the impact of Internet search on users' affect, cognition, and behavior. Thus, it is essential to develop a tool to measure the changes in psychological characteristics as a result of long-term use of Internet search. The aim of this study is to develop a Questionnaire on Internet Search Dependence (QISD) and test its reliability and validity. We first proposed a preliminary structure and items of the QISD based on literature review, supplemental investigations, and interviews. And then, we assessed the psychometric properties and explored the factor structure of the initial version via exploratory factor analysis (EFA). The EFA results indicated that four dimensions of the QISD were very reliable, i.e., habitual use of Internet search, withdrawal reaction, Internet search trust, and external storage under Internet search. Finally, we tested the factor solution obtained from EFA through confirmatory factor analysis (CFA). The results of CFA confirmed that the four dimensions model fits the data well. In all, this study suggests that the 12-item QISD is of high reliability and validity and can serve as a preliminary tool to measure the features of Internet search dependence.

  2. Development and Validation of a Self-reported Questionnaire for Measuring Internet Search Dependence

    Directory of Open Access Journals (Sweden)

    Yifan Wang

    2016-12-01

    Full Text Available Internet search has become the most common way that people deal with issues and problems in everyday life. The wide use of Internet search has largely changed the way people search for and store information. There is a growing interest in the impact of Internet search on users’ affect, cognition and behavior. Thus, it is essential to develop a tool to measure the changes in psychological characteristics as a result of long-term use of Internet search. The present study aimed to develop a Questionnaire on Internet Search Dependence (QISD, and test its reliability and validity. We first proposed a preliminary structure and items of the QISD based on literature review, supplemental investigations, and interviews. And then, we assessed the psychometric properties and explored the factor structure of the initial version via exploratory factor analysis (EFA. The EFA results indicated that four dimensions of the QISD were very reliable, i.e., habitual use of Internet search, withdrawal reaction, Internet search trust and external storage under Internet search. Lastly, we tested the factor solution obtained from EFA through confirmatory factor analysis (CFA. The results of CFA confirmed that the four dimensions model fits the data well. In all, the present study suggests that the 12-item QISD is of high reliability and validity, and can serve as a preliminary tool to measure the features of Internet search dependence.

  3. Factor solutions of the Social Phobia Scale (SPS) and the Social Interaction Anxiety Scale (SIAS) in a Swedish population.

    Science.gov (United States)

    Mörtberg, Ewa; Reuterskiöld, Lena; Tillfors, Maria; Furmark, Tomas; Öst, Lars-Göran

    2017-06-01

    Culturally validated rating scales for social anxiety disorder (SAD) are of significant importance when screening for the disorder, as well as for evaluating treatment efficacy. This study examined construct validity and additional psychometric properties of two commonly used scales, the Social Phobia Scale and the Social Interaction Anxiety Scale, in a clinical SAD population (n = 180) and in a normal population (n = 614) in Sweden. Confirmatory factor analyses of previously reported factor solutions were tested but did not reveal acceptable fit. Exploratory factor analyses (EFA) of the joint structure of the scales in the total population yielded a two-factor model (performance anxiety and social interaction anxiety), whereas EFA in the clinical sample revealed a three-factor solution, a social interaction anxiety factor and two performance anxiety factors. The SPS and SIAS showed good to excellent internal consistency, and discriminated well between patients with SAD and a normal population sample. Both scales showed good convergent validity with an established measure of SAD, whereas the discriminant validity of symptoms of social anxiety and depression could not be confirmed. The optimal cut-off score for SPS and SIAS were 18 and 22 points, respectively. It is concluded that the factor structure and the additional psychometric properties of SPS and SIAS support the use of the scales for assessment in a Swedish population.

  4. Are All Children Equal? Causative Factors of Child Labour in Selected Districts of South Punjab, Pakistan

    Directory of Open Access Journals (Sweden)

    Syed Zubair Haider

    2016-01-01

    Full Text Available The present study investigates the causative factors of child labour in selected districts of South Punjab, Pakistan. As member of the International Labour Organization (ILO Pakistan has a responsibility to stamp out child labour from its regions. Our sample was selected from seven working environments (workshops, hotels, tea stalls, households, etc. through purposive sampling. The data were collected via a questionnaire which was completed by a sample of 547 working children. The findings of the exploratory factor analysis (EFA explored four factors from the research. Multilevel analyses were calculated to pinpoint the causative factors of child labour. The study results revealed that, due to family responsibilities, a lack of educational opportunities for children from low-income families, and increasing poverty, children develop an interest in working to earn their livelihood at the cost of their education. The children are involved in labour because their parents cannot meet their personal and educational requirements.

  5. Development and Validation of Videogame Addiction Scale for Children (VASC)

    OpenAIRE

    Y?lmaz, Ey?p; Griffiths, Mark D.; Kan, Adnan

    2017-01-01

    The aim of the present study was to develop a valid and reliable Videogame Addiction Scale for Children (VASC). The data were derived from 780 children who completed the Videogame Addiction Scale (405 girls and 375 boys; 48.1% ranging in age from 9 to 12?years). The sample was randomly split into two different sub-samples (sample 1, n?=?400; sample 2, n?=?380). Sample 1 was used to perform exploratory factor analysis (EFA) to define the factorial structure of VASC. As a result of EFA, a four-...

  6. Structural Validation of the Holistic Wellness Assessment

    Science.gov (United States)

    Brown, Charlene; Applegate, E. Brooks; Yildiz, Mustafa

    2015-01-01

    The Holistic Wellness Assessment (HWA) is a relatively new assessment instrument based on an emergent transdisciplinary model of wellness. This study validated the factor structure identified via exploratory factor analysis (EFA), assessed test-retest reliability, and investigated concurrent validity of the HWA in three separate samples. The…

  7. How Use of knowledge, Skills and Cognition Enhance Board Performance in Nigerian market: A SEM-Approach

    Directory of Open Access Journals (Sweden)

    Bashir Mande

    2013-09-01

    Full Text Available This research aims to take steps towards explaining behavioral principle-based board process as factors for effective board performance. Dominant rule-based board structure approach could not transform effective corporate functioning, thus inconclusive. Based on a survey perception of 154 respondents from Nigerian capital market participants, the study employs confirmatory factor analysis (CFA in a structural equation modeling (SEM approach. Other studies used EFA and in developed nations. Replicates and builds upon board process constructs - cognitive conflict, effort norms, use of knowledge and skills, and groupthink. The study concludes that the items are valid measures of the latent constructs and significantly relate to board performance. The paper links corporate governance debates to broader behavioral choices in agency perspective and employs CFA and SEM as alternative approach for the measurement and structural models, in place of the usual exploratory factor analysis (EFA.

  8. Calculating Puerto Rico’s Ecological Footprint (1970–2010) Using Freely Available Data

    Science.gov (United States)

    Ecological Footprint Analysis (EFA) is appealing as a metric of sustainability because it is straightforward in theory and easy to conceptualize. However, EFA is difficult to implement because it requires extensive data. A simplified approach to EFA that requires fewer data can s...

  9. The Selective Mutism Questionnaire: Measurement Structure and Validity

    Science.gov (United States)

    Letamendi, Andrea M.; Chavira, Denise A.; Hitchcock, Carla A.; Roesch, Scott C.; Shipon-Blum, Elisa; Stein, Murray B.; Roesch, Scott C.

    2010-01-01

    Objective To evaluate the factor structure, reliability, and validity of the 17-item Selective Mutism Questionnaire. Method Diagnostic interviews were administered via telephone to 102 parents of children identified with selective mutism (SM) and 43 parents of children without SM from varying U.S. geographic regions. Children were between the ages of 3 and 11 inclusive and comprised 58% girls and 42% boys. SM diagnoses were determined using the Anxiety Disorders Interview Schedule for Children - Parent Version (ADIS-C/P); SM severity was assessed using the 17-item Selective Mutism Questionnaire (SMQ); and behavioral and affective symptoms were assessed using the Child Behavior Checklist (CBCL). An exploratory factor analysis (EFA) was conducted to investigate the dimensionality of the SMQ and a modified parallel analysis procedure was used to confirm EFA results. Internal consistency, construct validity, and incremental validity were also examined. Results The EFA yielded a 13-item solution consisting of three factors: a) Social Situations Outside of School, b) School Situations, and c) Home and Family Situations. Internal consistency of SMQ factors and total scale ranged from moderate to high. Convergent and incremental validity were also well supported. Conclusions Measure structure findings are consistent with the 3-factor solution found in a previous psychometric evaluation of the SMQ. Results also suggest that the SMQ provides useful and unique information in the prediction of SM phenomenon beyond other child anxiety measures. PMID:18698268

  10. Quantifying cognition and behavior in normal aging, mild cognitive impairment, and Alzheimer's disease

    Science.gov (United States)

    Giraldo, Diana L.; Sijbers, Jan; Romero, Eduardo

    2017-11-01

    The diagnosis of Alzheimer's disease (AD) and mild cognitive impairment (MCI) is based on neuropsychological evaluation of the patient. Different cognitive and memory functions are assessed by a battery of tests that are composed of items devised to specifically evaluate such upper functions. This work aims to identify and quantify the factors that determine the performance in neuropsychological evaluation by conducting an Exploratory Factor Analysis (EFA). For this purpose, using data from the Alzheimer's Disease Neuroimaging Initiative (ADNI), EFA was applied to 67 item scores taken from the baseline neuropsychological battery of the three phases of ADNI study. The found factors are directly related to specific brain functions such as memory, behavior, orientation, or verbal fluency. The identification of factors is followed by the calculation of factor scores given by weighted linear combinations of the items scores.

  11. Questionnaire development and validity to measure sexual intention among youth in Malaysia.

    Science.gov (United States)

    Muhammad, Noor Azimah; Shamsuddin, Khadijah; Mohd Amin, Rahmah; Omar, Khairani; Thurasamy, Ramayah

    2017-02-02

    From the Theory of Planned Behaviour perspective, sexual intention is determined by a permissive attitude, perception of social norms and perceived self-efficacy in performing sexual activity. The aim of this study was to develop and validate the Youth Sexual Intention Questionnaire (YSI-Q), which was designed to measure sexual intention among youths in Malaysia. A total of 25 items were developed based on literature reviews encompassing four main constructs: sexual intention, attitude, social norms and self-efficacy. The YSI-Q then underwent a validation process that included content and face validity, exploratory factor analysis (EFA), reliability analysis, and confirmatory factor analysis (CFA). This study was conducted on unmarried youths aged 18 to 22 years who were studying in colleges around Klang Valley, Malaysia. EFA supported the four factor structure, but five items were removed due to incorrect placement or low factor loading (social norms (six items) and self-efficacy (four items) of practicing sexual activity. YSI-Q was shown to be a reliable and valid tool to be used among Malaysian youths.

  12. Urban energy consumption: Different insights from energy flow analysis, input–output analysis and ecological network analysis

    International Nuclear Information System (INIS)

    Chen, Shaoqing; Chen, Bin

    2015-01-01

    Highlights: • Urban energy consumption was assessed from three different perspectives. • A new concept called controlled energy was developed from network analysis. • Embodied energy and controlled energy consumption of Beijing were compared. • The integration of all three perspectives will elucidate sustainable energy use. - Abstract: Energy consumption has always been a central issue for sustainable urban assessment and planning. Different forms of energy analysis can provide various insights for energy policy making. This paper brought together three approaches for energy consumption accounting, i.e., energy flow analysis (EFA), input–output analysis (IOA) and ecological network analysis (ENA), and compared their different perspectives and the policy implications for urban energy use. Beijing was used to exemplify the different energy analysis processes, and the 42 economic sectors of the city were aggregated into seven components. It was determined that EFA quantifies both the primary and final energy consumption of the urban components by tracking the different types of fuel used by the urban economy. IOA accounts for the embodied energy consumption (direct and indirect) used to produce goods and services in the city, whereas the control analysis of ENA quantifies the specific embodied energy that is regulated by the activities within the city’s boundary. The network control analysis can also be applied to determining which economic sectors drive the energy consumption and to what extent these sectors are dependent on each other for energy. So-called “controlled energy” is a new concept that adds to the analysis of urban energy consumption, indicating the adjustable energy consumed by sectors. The integration of insights from all three accounting perspectives further our understanding of sustainable energy use in cities

  13. Preliminary Validation of the Motor Skills Rating Scale

    Science.gov (United States)

    Cameron, Claire E.; Chen, Wei-Bing; Blodgett, Julia; Cottone, Elizabeth A.; Mashburn, Andrew J.; Brock, Laura L.; Grissmer, David

    2012-01-01

    This study examined psychometric properties of the Motor Skills Rating Scale (MSRS), a questionnaire designed for classroom teachers of children in early elementary school. Items were developed with the guidance of two occupational therapists, and factor structure was examined with an exploratory factor analysis (EFA). The resulting model showed…

  14. MODEL PENGUATAN USAHA MELALUI KONSEP CREATIVE CAPITAL PADA USAHA KECIL MENENGAH (UKM OLAHAN APEL DI KECAMATAN PUJON KABUPATEN MALANG

    Directory of Open Access Journals (Sweden)

    Nurul Asfiah

    2014-01-01

    Full Text Available This research is using survey methods and data collection techniques were used questionnaires and interviews. The tools analysis used is a SWOT analysis. IFAS analysis was used to determine the internal and external factors were analyzed using EFAS before. In processed apples SME obtained weights of 2 bigger than the disadvantages, with a weight of 1.28. The strength factors of the SME are corporate culture, key staff, access to natural resources, and operational efficiency. Weaknesses condition of SME, obtained with a weight of 1.28. The disadvantages were in form of organizational structure, corporate image, operational capacity, financial resources, exclusive contracts, market share, and product patents. The results described by EFAS analysis that the chances of SMEs processed apple with a weight of 1.62, while the weights for the threats faced by SMEs of 1.09, which indicates that the weight of greater opportunities than the threats received by SMEs processed apples

  15. Measuring hospital service quality and its influence on patient satisfaction: An empirical study using structural equation modeling

    OpenAIRE

    Nasim Kazemi; Parisa Ehsani; Farshid Abdi; Mohammad Kazem Bighami

    2013-01-01

    This paper presents an empirical investigation to measure different dimensions of hospital service quality (HSQ) by gap analysis and patient satisfaction (PS). It also attempts to measure patients’ satisfaction with three dimensions extracted from exploratory factor analysis (EFA) by Principle component analysis method and conformity factor analysis (CFA). In addition, the study analyzes relationship between HSQ and PS in the context of Iranian hospital services, using structural equation mod...

  16. Strategi Pengembangan Ekowisata Mangrove Wonorejo Surabaya

    Directory of Open Access Journals (Sweden)

    Khoirul Umam

    2016-03-01

    Full Text Available The aim of the research are to describe the potential of ecotourism development in mangrove forest, to describe the benefits that can be gained by the community, to analyze the internal and external environment in the development of Mangrove Ecotourism Surabaya, and to formulate development strategiy of Mangrove Ecotourism Wonorejo Surabaya based on internal and external environment. The first and second objectives were answered using descrip­tive analysis, while the third objective was answered using IFAS (Internal Factors Analysis Strategy and EFAS (External Factors Analysis. The result showed that the Mangrove Ecotourism Wonorejo Surabaya has potential aspects to develop in referring to the ecology places/sutainability places, the natural resources including flora and fauna, the government support, the organizational, and the community of Wonorejo support for facilities and infrastructure. There are three aspects in terms of the benefit that owned by Mangrove Ecotourism Wonorejo Surabaya includ­ing social, economic and agribusiness aspects. Based on internal factors analysis (IFAS and external factors analysis (EFAS, it was suggested that the aggressive strategy (growth, It can uses to get the opportunity strengthly, must be taken to develop mangrove ecotourism potential in Wonorejo, Surabaya.

  17. The development of the Problematic Online Gaming Questionnaire (POGQ).

    Science.gov (United States)

    Demetrovics, Zsolt; Urbán, Róbert; Nagygyörgy, Katalin; Farkas, Judit; Griffiths, Mark D; Pápay, Orsolya; Kökönyei, Gyöngyi; Felvinczi, Katalin; Oláh, Attila

    2012-01-01

    Online gaming has become increasingly popular. However, this has led to concerns that these games might induce serious problems and/or lead to dependence for a minority of players. The aim of this study was to uncover and operationalize the components of problematic online gaming. A total of 3415 gamers (90% males; mean age 21 years), were recruited through online gaming websites. A combined method of exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) was applied. Latent profile analysis was applied to identify persons at-risk. EFA revealed a six-factor structure in the background of problematic online gaming that was also confirmed by a CFA. For the assessment of the identified six dimensions--preoccupation, overuse, immersion, social isolation, interpersonal conflicts, and withdrawal--the 18-item Problematic Online Gaming Questionnaire (POGQ) proved to be exceedingly suitable. Based on the latent profile analysis, 3.4% of the gamer population was considered to be at high risk, while another 15.2% was moderately problematic. The POGQ seems to be an adequate measurement tool for the differentiated assessment of gaming related problems on six subscales.

  18. Formulasi Strategi Bersaing PT. Imago Kreasi Komunika di Industri Jasa Periklanan

    Directory of Open Access Journals (Sweden)

    Teti Filantri Siregar

    2017-05-01

    Full Text Available After its establishment, PT. Imago Kreasi Komunika had experienced highly rapid growth from year to year; however, in 2013 the company suffered its losses. This condition was successfully overcome by the company by gaining its profit in 2014. Due to this condition, the company has been worried so that it decided to formulate of appropriate strategies to be able to grow and compete with other advertising companies. This study aimed to evaluate the vision and mission and analyze the internal and external factors of the company to formulate an appropriate strategy formulation for PT. Imago Kreasi Komunika. The research was conducted by case study approach the company. The method of analysis used was to evaluate the company's vision and mission and stakeholder expectations. To analyze the internal factors, the Internal Factor Analysis Summary (IFAS matrix, External Factor Analysis Summary (EFAS, and Strategy Factor Analysis Summary (SFAS were used. The research was conducted through non-probability sampling approach with purposive sampling technique by selecting respondents consisting of seven internal experts and three external experts. The results showed that PT. Imago Kreasi Komunika has a Unique Selling Point which is not owned by other advertising companies that is final artwork packaging design. This Unique Selling Point can be the key to develop the company and compete with other advertising companies in Indonesia.Keywords: strategy formulation, advertising company, EFAS, IFAS, SFASABSTRAKSejak berdiri PT.Imago Kreasi Komunika mengalami perkembangan sangat pesat dari tahun ke tahun, namun ditahun 2013 perusahaan mengalami kerugian. Kondisi ini berhasil diatasi oleh perusahaan dengan kembali mendapatkan profit di tahun 2014. Keadaan seperti ini mengkhawatirkan perusahaan sehingga perusahaan memutuskan perlunya sebuah formulasi strategi yang tepat untuk dapat berkembang dan bersaing dengan perusahaan iklan lain. Penelitian ini bertujuan

  19. Factor analysis for instruments of science learning motivation and its implementation for the chemistry and biology teacher candidates

    Science.gov (United States)

    Prasetya, A. T.; Ridlo, S.

    2018-03-01

    The purpose of this study is to test the learning motivation of science instruments and compare the learning motivation of science from chemistry and biology teacher candidates. Kuesioner Motivasi Sains (KMS) in Indonesian adoption of the Science Motivation Questionnaire II (SMQ II) consisting of 25 items with a 5-point Likert scale. The number of respondents for the Exploratory Factor Analysis (EFA) test was 312. The Kaiser-Meyer-Olkin (KMO), determinant, Bartlett’s Sphericity, Measures of Sampling Adequacy (MSA) tests against KMS using SPSS 20.0, and Lisrel 8.51 software indicate eligible indications. However testing of Communalities obtained results that there are 4 items not qualified, so the item is discarded. The second test, all parameters of eligibility and has a magnitude of Root Mean Square Error of Approximation (RMSEA), P-Value for the Test of Close Fit (RMSEA <0.05), Goodness of Fit Index (GFI) was good. The new KMS with 21 valid items and composite reliability of 0.9329 can be used to test the level of learning motivation of science which includes Intrinsic Motivation, Sefl-Efficacy, Self-Determination, Grade Motivation and Career Motivation for students who master the Indonesian language. KMS trials of chemistry and biology teacher candidates obtained no significant difference in the learning motivation between the two groups.

  20. The negative consequences of other students' drinking: inventory development and assessment of differences by student characteristics and risk behaviors.

    Science.gov (United States)

    Rhodes, Scott D; McCoy, Thomas P; Omli, Morrow R; Cohen, Gail M; Wagoner, Kimberly G; Durant, Robert H; Vissman, Aaron T; Wolfson, Mark

    2009-01-01

    College students continue to report being disrupted by other students' alcohol use. This study was designed to develop measures to document the consequences resulting from other students' drinking and identify differences in experiencing these consequences by student characteristics and drinking behaviors. A stratified random sample of undergraduate students (N = 3,908) from ten universities in North Carolina, USA, completed a web-based assessment. Exploratory factor analysis (EFA) was performed on the random first split-half sample (n = 1,954) to identify factor structure. Confirmatory factor analysis (CFA) was performed on the remaining half sample (n = 1,954) using structural equation modeling. EFA revealed two inventories: interpersonal and community consequences of others' drinking inventories. CFA on the second split-half sample identified model fits for the two factor structure suggested by EFA. Of 3,908 participants, 78% reported experiencing one or more consequences due to others' drinking during the past 30 days. Multivariable generalized linear mixed modeling further validated the inventories and resulted in several associations. Male students who reported getting drunk experienced significantly more interpersonal consequences from others' drinking (p students, students who lived on campus and students who reported getting drunk experienced significantly more community consequences from others' drinking (p college students experience consequences from others' drinking, and consequences vary for different subgroups of students. Although these inventories should be tested further, these findings propose standardized measures that may be useful to assess the consequences of others' drinking among college students.

  1. Validation of Bengali perceived stress scale among LGBT population.

    Science.gov (United States)

    Mozumder, Muhammad Kamruzzaman

    2017-08-29

    Lesbian, gay, bisexual and transgender (LGBT) population encounter more stressful life circumstances compared to general population. Perceived Stress Scale (PSS) can be a useful tool for measuring their stress. However, psychometric properties of PSS have never been tested on LGBT population. This cross sectional study employed a two-stage sampling strategy to collect data from 296 LGBT participants from six divisional districts of Bangladesh. Exploratory (EFA) and confirmatory factor analysis (CFA) were carried out on PSS 10 along with analysis of reliability and validity. EFA revealed a two-factor structure of PSS for LGBT population explaining 43.55% - 51.45% of total variance. This measurement model was supported by multiple fit indices during CFA. Acceptable Cronbach's alpha indicated internal consistency reliability and high correlations with Self Reporting Questionnaire 20 demonstrated construct validity of PSS 10 for LGBT population. This study provided evidence of satisfactory psychometric properties of Bengali PSS 10 in terms of factor structure, internal consistency and validity among LGBT population.

  2. Investigating ethnic minorities' perceptions of safety climate in the construction industry.

    Science.gov (United States)

    Chan, Albert P C; Wong, Francis K W; Hon, Carol K H; Lyu, Sainan; Javed, Arshad Ali

    2017-12-01

    An increasing number of ethnic minorities (EMs) have been employed in the construction industry to alleviate severe labor shortages in many countries. Unfortunately, statistics show that EMs have higher fatal and non-fatal occupational injury rates than their local counterparts. However, EMs are often underrepresented in safety climate (SC) research as they are difficult to reach and gauge their perception. A positive relationship has been widely found between SC and safety performance. Understanding the safety perceptions of EMs helps to reduce injuries and improve their safety performance. Based on a sample of 320 EMs from 20 companies in the construction industry, exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to identify the SC factors of EMs, and validate the extracted factors, respectively. Multivariate analysis of variance was undertaken to examine mean differences in perceptions of SC by personal characteristics. Three SC factors for EMs encapsulating 16 variables were identified through EFA. The hypothesized CFA model for a three-factor structure derived from EFA showed a satisfactory goodness-of-fit, composite reliability, and construct validity. Three SC factors were identified, namely: (a) safety management commitment, safety resources, and safety communication; (b) employee's involvement and workmate's influence; and (c) perception of safety rules, procedures and risks. The perceptions of SC differed significantly by nationality, marital status, the number of family members supported, and drinking habit. This study reveals the perception of EMs toward SC. The findings highlight the areas for safety improvement and provide leading indicators for safety performance of EMs. The findings are also enlightening for countries with a number of EMs, such as the United Sates, the United Kingdom, Australia, Singapore, and the Middle East. Copyright © 2017. Published by Elsevier Ltd.

  3. Utilization scenarios for driving support systems in cargo traffic and their evaluation; Einsatzszenarien fuer Fahrerassistenzsysteme im Gueterverkehr und deren Bewertung

    Energy Technology Data Exchange (ETDEWEB)

    Henning, K.; Preuschoff, E. (eds.)

    2003-07-01

    The report presents a summary of the project of the above title (EFAS project). While earlier projects focused on the technical side, EFAS is the first to present a systematic analysis, presentation and evaluation of the parameters influencing driving support systems. With the aid of a systemic analysis, the key influencing factors are defined and analyzed, and three scenarios are developed which take account of user-oriented, organizational, operational, technical, infrastructural and legal aspects. The scenarios are evaluated with the aid of driving and traffic simulations in the fields of humans, organization and technology, and actions are recommended on this basis for driving support systems in cargo transport. [German] Der Bericht fasst die Ergebnisse des Projektes ''Einsatzszenarien fuer Fahrerassistenzsysteme im Gueterverkehr'' (EFAS) zusammen. Bisher wurde die Thematik Fahrerassistenzsysteme hauptsaechlich auf der Seite der Fahrzeugtechnik vorangetrieben. Das Projekt EFAS stellt nun zum ersten Mal eine umfassende Analyse, Darstellung und Bewertung dar. Mit Hilfe einer systemischen Analyse werden die wesentlichen Einflussfaktoren fuer die Einbindung von Fahrerassistenzsystemen in das Gesamtsystem ''Verkehr'' bestimmt und untersucht. Hieraus werden drei Einsatzszenarien entwickelt, die nutzerbezogene, organisatorische, betriebliche, fahrzeugtechnische, infrastukturelle und rechtliche Aspekte zu Zukunftsbildern zusammenfuegen. Die Szenarien werden mit Hilfe von Fahr- und Verkehrssimulationen in den Bereichen Mensch, Organisation und Technik bewertet. Aus den Ergebnissen werden konkrete Handlungsempfehlungen fuer den Einsatz von Fahrerassistenzsystemen im Strassengueterverkehr abgeleitet. (orig.)

  4. Initial development of the recovery-oriented services assessment: A collaboration with peer-provider consultants.

    Science.gov (United States)

    Lodge, Amy C; Kuhn, Wendy; Earley, Juli; Stevens Manser, Stacey

    2018-06-01

    The Recovery Self-Assessment (RSA) is a reliable and valid tool used to measure recovery-oriented services. Recent studies, however, suggest that the length and reading level of the RSA makes its routine use in service settings difficult. Recognizing the importance of including people with lived experience of a mental health challenge in research processes and the need to enhance the utility of tools that measure recovery-oriented services, this paper describes an innovative researcher-peer provider consultant multistep process used to revise the provider version of the RSA to create a new instrument-the Recovery-Oriented Services Assessment (ROSA). The authors conducted an exploratory factor analysis (EFA) with principal axis factoring extraction and direct oblimin rotation to evaluate the underlying structure of the provider RSA using data from mental health employees (n = 323). To triangulate the findings of the EFA, quantitative and qualitative data were collected from peer provider consultants (n = 9) on the importance of and language of RSA items. EFA results indicated that a 1-factor solution provided the best fit and explained 48% of the total variance. Consultants triangulated EFA results and recommended the addition of 2 items and language revisions. These results were used to develop the ROSA-a 15-item instrument measuring recovery-oriented services with accessible language. Two versions of the ROSA were developed: a staff version and a people-in-services version. The ROSA may provide organizations with a more accessible way to measure the extent to which their services are recovery oriented. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

  5. The Development of a Mathematics Self-Report Inventory for Turkish Elementary Students

    Science.gov (United States)

    Akin, Ayça; Güzeller, Cem Oktay; Evcan, Sinem Sezer

    2016-01-01

    The purpose of the current study is to develop a mathematics self-report inventory (MSRI) to measure Turkish elementary students' mathematics expectancy beliefs and task values based on the expectancy-value theory of achievement motivation. In Study-1 (n = 1,315), exploratory factor analysis (EFA) and reliability analysis are used to evaluate the…

  6. The factor structure of the Spanish version of the Work-Family Culture Scale in a sample of workers from the advertising sector.

    Science.gov (United States)

    Beléndez Vázquez, Marina; Martín Llaguno, Marta; Hernández Ruiz, Alejandra

    2013-01-01

    The Work-Family Culture Scale (WFCS) was designed to assess employee perceptions of the extent to which their organizations facilitates a work-family balance. The WFCS comprises three dimensions: Oorganizational time demands, Managerial support and Negative career consequences. The primary purpose of the present study was to analyze the factor structure and reliability of the Spanish version of the Work-Family Culture Scale in a sample of 795 employees (447 females and 348 males) working for twenty-three firms in the Spanish advertising sector. Both EFA and CFA using split-half data sets yielded an 11-item three-factor model (Managerial support, Career consequences and Organizational time demands) that fits the data very well. The findings for structural equation modeling were as follows: χ(2) (41) = 63.85; CFI = .99; GFI = .97; and RMSEA = .038. Internal consistency for the WFCS factors proved adequate. The results of the analysis indicate that this three-factor model confirms previous exploratory analyses of the original scale.

  7. Factor Structure of the Chinese Version of the Parent Adult-Child Relationship Questionnaire

    Directory of Open Access Journals (Sweden)

    Daoyang Wang

    2018-03-01

    Full Text Available The Parent Adult-Child Relationship Questionnaire (PACQ included two identical versions of the 13-item scale, which were administered to each subject, one which referred to “relationship with mother” and the other to “relationship with father.” The PACQ, originally in English, is a self-report measure of the filial relationship. The present study aimed to develop a Chinese version of the PACQ and use it to explore Chinese parent adult-child relationships. A total of 454 Chinese adult-children completed the Chinese version of the PACQ. The structure of the questionnaire was analyzed using exploratory factor analysis (EFA and confirmatory factor analysis (CFA. We found that the Cronbach's α was 0.66–0.88 for fathers and 0.76–0.91 for mothers, which demonstrates high internal consistency reliabilities of the Chinese version of the PACQ. The Chinese version of the PACQ for father had similar constructs similar to with those of the original English version. However, a new factor for mothers, “attachment,” was derived from the original English version. The results suggested that the Chinese version of PACQ is a valid and reliable measure of relationship quality between Chinese adult-children and their parents.

  8. Foundations of factor analysis

    CERN Document Server

    Mulaik, Stanley A

    2009-01-01

    Introduction Factor Analysis and Structural Theories Brief History of Factor Analysis as a Linear Model Example of Factor AnalysisMathematical Foundations for Factor Analysis Introduction Scalar AlgebraVectorsMatrix AlgebraDeterminants Treatment of Variables as Vectors Maxima and Minima of FunctionsComposite Variables and Linear Transformations Introduction Composite Variables Unweighted Composite VariablesDifferentially Weighted Composites Matrix EquationsMulti

  9. The development of the Problematic Online Gaming Questionnaire (POGQ.

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    Zsolt Demetrovics

    Full Text Available BACKGROUND: Online gaming has become increasingly popular. However, this has led to concerns that these games might induce serious problems and/or lead to dependence for a minority of players. AIM: The aim of this study was to uncover and operationalize the components of problematic online gaming. METHODS: A total of 3415 gamers (90% males; mean age 21 years, were recruited through online gaming websites. A combined method of exploratory factor analysis (EFA and confirmatory factor analysis (CFA was applied. Latent profile analysis was applied to identify persons at-risk. RESULTS: EFA revealed a six-factor structure in the background of problematic online gaming that was also confirmed by a CFA. For the assessment of the identified six dimensions--preoccupation, overuse, immersion, social isolation, interpersonal conflicts, and withdrawal--the 18-item Problematic Online Gaming Questionnaire (POGQ proved to be exceedingly suitable. Based on the latent profile analysis, 3.4% of the gamer population was considered to be at high risk, while another 15.2% was moderately problematic. CONCLUSIONS: The POGQ seems to be an adequate measurement tool for the differentiated assessment of gaming related problems on six subscales.

  10. MEASURING AND MODELLING INTERNET BANKING SERVICE QUALITY IN SOUTH AFRICA

    OpenAIRE

    Redda, Ephrem Habtemichael; Surujlal, Jhalukpreya

    2017-01-01

    The purpose of this study was to develop a measuring and modelling instrument of Internet banking service quality (IBSQ) for the South African banking sector. Snowball and convenience sampling, both non-probability techniques were used to recruit participants for the study. A total of 310 Internet banking customer responses were utilised in the analysis. Using exploratory factor analysis (EFA), eight determinant factors that explained IBSQ were extracted. Following this, the study...

  11. Virulence factors and antibiotic susceptibility in enterococci isolated from oral mucosal and deep infections

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    Gunnar Dahlén

    2012-02-01

    Full Text Available This study evaluates the presence of virulence factors and antibiotic susceptibility among enterococcal isolates from oral mucosal and deep infections. Forty-three enterococcal strains from oral mucosal lesions and 18 from deep infections were isolated from 830 samples that were sent during 2 years to Oral Microbiology, University of Gothenburg, for analysis. The 61 strains were identified by 16S rDNA, and characterized by the presence of the virulence genes efa A (endocarditis gene, gel E (gelatinase gene, ace (collagen binding antigen gene, asa (aggregation substance gene, cyl A (cytolysin activator gene and esp (surface adhesin gene, tested for the production of bacteriocins and presence of plasmids. MIC determination was performed using the E-test method against the most commonly used antibiotics in dentistry, for example, penicillin V, amoxicillin and clindamycin. Vancomycin was included in order to detect vancomycin-resistant enterococci (VRE strains. Sixty strains were identified as Enterococcus faecalis and one as Enterococcus faecium. All the virulence genes were detected in more than 93.3% (efa A and esp of the E. faecalis strains, while the presence of phenotypic characteristics was much lower (gelatinase 10% and hemolysin 16.7%. Forty-six strains produced bacteriocins and one to six plasmids were detected in half of the isolates. Enterococcal strains from oral infections had a high virulence capacity, showed bacteriocin production and had numerous plasmids. They were generally susceptible to ampicillins but were resistant to clindamycin, commonly used in dentistry, and no VRE-strain was found.

  12. Psychometric Properties of the Procrastination Assessment Scale-Student (PASS) in a Student Sample of Sabzevar University of Medical Sciences.

    Science.gov (United States)

    Mortazavi, Forough; Mortazavi, Saideh S; Khosrorad, Razieh

    2015-09-01

    Procrastination is a common behavior which affects different aspects of life. The procrastination assessment scale-student (PASS) evaluates academic procrastination apropos its frequency and reasons. The aims of the present study were to translate, culturally adapt, and validate the Farsi version of the PASS in a sample of Iranian medical students. In this cross-sectional study, the PASS was translated into Farsi through the forward-backward method, and its content validity was thereafter assessed by a panel of 10 experts. The Farsi version of the PASS was subsequently distributed among 423 medical students. The internal reliability of the PASS was assessed using Cronbach's alpha. An exploratory factor analysis (EFA) was conducted on 18 items and then 28 items of the scale to find new models. The construct validity of the scale was assessed using both EFA and confirmatory factor analysis. The predictive validity of the scale was evaluated by calculating the correlation between the academic procrastination scores and the students' average scores in the previous semester. The corresponding reliability of the first and second parts of the scale was 0.781 and 0.861. An EFA on 18 items of the scale found 4 factors which jointly explained 53.2% of variances: The model was marginally acceptable (root mean square error of approximation [RMSEA] =0.098, standardized root mean square residual [SRMR] =0.076, χ(2) /df =4.8, comparative fit index [CFI] =0.83). An EFA on 28 items of the scale found 4 factors which altogether explained 42.62% of variances: The model was acceptable (RMSEA =0.07, SRMR =0.07, χ(2)/df =2.8, incremental fit index =0.90, CFI =0.90). There was a negative correlation between the procrastination scores and the students' average scores (r = -0.131, P =0.02). The Farsi version of the PASS is a valid and reliable tool to measure academic procrastination in Iranian undergraduate medical students.

  13. Factor structure of the Wechsler Intelligence Scale for Children-Fifth Edition: Exploratory factor analyses with the 16 primary and secondary subtests.

    Science.gov (United States)

    Canivez, Gary L; Watkins, Marley W; Dombrowski, Stefan C

    2016-08-01

    The factor structure of the 16 Primary and Secondary subtests of the Wechsler Intelligence Scale for Children-Fifth Edition (WISC-V; Wechsler, 2014a) standardization sample was examined with exploratory factor analytic methods (EFA) not included in the WISC-V Technical and Interpretive Manual (Wechsler, 2014b). Factor extraction criteria suggested 1 to 4 factors and results favored 4 first-order factors. When this structure was transformed with the Schmid and Leiman (1957) orthogonalization procedure, the hierarchical g-factor accounted for large portions of total and common variance while the 4 first-order factors accounted for small portions of total and common variance; rendering interpretation at the factor index level less appropriate. Although the publisher favored a 5-factor model where the Perceptual Reasoning factor was split into separate Visual Spatial and Fluid Reasoning dimensions, no evidence for 5 factors was found. It was concluded that the WISC-V provides strong measurement of general intelligence and clinical interpretation should be primarily, if not exclusively, at that level. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

  14. Mind Your Product-Market Strategy on Selecting Marketing Inputs: An Uncertainty Approach in Indian Context

    OpenAIRE

    Susmita Ghosh; Bhaskar Bhowmick

    2015-01-01

    Market is an important factor for start-ups to look into during decision-making in product development and related areas. Emerging country markets are more uncertain in terms of information availability and institutional supports. The literature review of market uncertainty reveals the need for identifying factors representing the market uncertainty. This paper identifies factors for market uncertainty using Exploratory Factor Analysis (EFA) and confirmed the number of fa...

  15. MODEL PENGUATAN USAHA MELALUI KONSEP CREATIVE CAPITAL PADA USAHA KECIL MENENGAH (UKM) OLAHAN APEL DI KECAMATAN PUJON KABUPATEN MALANG

    OpenAIRE

    Nurul Asfiah

    2014-01-01

    This research is using survey methods and data collection techniques were used questionnaires and interviews. The tools analysis used is a SWOT analysis. IFAS analysis was used to determine the internal and external factors were analyzed using EFAS before. In processed apples SME obtained weights of 2 bigger than the disadvantages, with a weight of 1.28. The strength factors of the SME are corporate culture, key staff, access to natural resources, and operational efficiency. We...

  16. Model Penguatan Usaha Melalui Konsep Creative Capital Pada Usaha Kecil Menengah (UKM) Olahan Apel Di Kecamatan Pujon Kabupaten Malang

    OpenAIRE

    Nurul Asfiah

    2014-01-01

    This research is using survey methods and data collection techniques were used questionnaires and interviews. The tools analysis used is a SWOT analysis. IFAS analysis was used to determine the internal and external factors were analyzed using EFAS before. In processed apples SME obtained weights of 2 bigger than the disadvantages, with a weight of 1.28. The strength factors of the SME are corporate culture, key staff, access to natural resources, and operational efficiency. Weaknesses condi...

  17. Psychometric properties of the Portuguese version of the Global Transformational Leadership (GTL scale

    Directory of Open Access Journals (Sweden)

    Patrícia van Beveren

    2017-07-01

    Full Text Available The aim of this study is to adapt and consequently validate theGlobal Transformational Leadershipmeasuring scale (GTL. The scale was therefore applied to a sample of 456 members of 70 work groups, belonging to 26 organizations. The factorial structure of the scale was analysed through the exploratory factor analysis (EFA and confirmatory factor analysis (CFA, with the sample being split in two equal parts: EFA was conducted in both sub-samples and CFA was applied in the second sub-sample. The internal consistency was evaluated via Cronbach's alpha and the nomological validity was analysed via the evaluation of the GTL's correlations with both team-level autonomy and quality of group experience. The results revealed the presence of a unidimensional scale with a good level of internal consistency. Regarding the nomological validity, the results pointed to hypothetical relations, since the GTL showed positive correlations with the variables considered. Thus, the Portuguese version of the GTL is presented as a useful instrument for evaluating transformational leadership.

  18. Structural validity of the Maslach Burnout Inventory and influence of depressive symptoms in banking workplace: Unfastening the occupational conundrum.

    Science.gov (United States)

    Valente, Maria do Socorro da Silva; Wang, Yuan-Pang; Menezes, Paulo Rossi

    2018-06-04

    Burnout and mental disorders have been reported in the financial industry. This study aims to examine the structural validity of the Maslach Burnout Inventory (MBI) and to investigate the connection between the dimensions of burnout and depressive symptoms in a sample of 1046 bank employees from North Brazil who completed the MBI and the Patient Health Questionnaire-9 (PHQ-9. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to cross-check the factorial structure of the MBI. One-way analysis of variance and correlation analysis were applied to elucidate the relationship between burnout and depressive symptoms. Both 3-factor and 4-factor oblique solutions were plausible EFA models of the burnout syndrome. Results of CFA supported the 19-item 4-factor structure as the best fitting model to data, with two exhaustion factors ("exhausted" and "strained"), depersonalization, and personal accomplishment. The PHQ-9 total score and individual score of depressive items were significantly correlated with all MBI dimensions, notably with the emotional exhaustion dimension. The moderate-to-high correlation observed between burnout and depression suggest the potential utility of the MBI for evaluating burnout among bank employees as well as to point out the need to evaluate systematically the burnout and depressive symptoms given to their potential association. Copyright © 2018. Published by Elsevier B.V.

  19. STRATEGI PEMASARAN PROGRAM STUDI DIPLOMA III USAHA PERJALANAN WISATA UNIVERSITAS JEMBER

    Directory of Open Access Journals (Sweden)

    Margaretta Andini Nugroho

    2017-09-01

    Full Text Available A marketing strategy is needed by Program Studi Diploma III Usaha Perjalanan Wisata (PS D-III UPW of Jember University, in order to increase more students. Since the last few years, the students of PS D-III UPW has been decreased. This study has the objective to identify strengths, weaknesses, opportunities and threats of PS D-III UPW, and formulate the marketing strategy, by using analysis method of IFAS, EFAS, SWOT and QSPM. The result of IFAS and EFAS identify that PS D-III UPW has 16 factors of strength, 14 factors of weakness, 6 factors of opportunity and 3 factors of threat. The result of SWOT identifies some alternative strategies, which are technology information, student motivation, cooperation within tourism industry, promotion, facilities, competitive product, learning system, quality of human resource, and involvement of the students at Jember tourism events. The QSPM identifies that improvement of promotion as the first priority strategy.

  20. English Validation of the Parental Socialization Scale—ESPA29

    Science.gov (United States)

    Martínez, Isabel; Cruise, Edie; García, Óscar F.; Murgui, Sergio

    2017-01-01

    Parenting styles have traditionally been studied following the classical two-dimensional orthogonal model of parental socialization. The Parental Socialization Scale ESPA29 is used to measure the four styles of parental socialization through the acceptance/involvement and strictness/imposition dimensions. The ESPA29 scale is a developmentally appropriate measure of parenting styles, which has been validated in several languages including Spanish, Italian, and Brazilian Portuguese. In this study, the English translation of the ESPA29 was evaluated. The objective of the work is to test the ESPA29’s structure of parenting practices with a United States sample measuring parenting practices using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). The scores of fathers’ and mothers’ behavioral practices toward their children were obtained for a sample of 911 United States adolescents between 14 and 18 years of age. First, the total sample was split and a principal components analysis with varimax rotation was carried out with one of the two halves. EFA showed a two-factor structure fully congruent with the theoretical model for mothers’ and fathers’ scores. Next, a CFA was calculated on the second half by using the factor structure obtained in the previous EFA. The CFA replicated the two-factor structure with appropriate fit index. The seven parenting practices that were measured loaded appropriately on the acceptance/involvement and strictness/imposition dimensions. Then, the multigroup analysis between girls and boys showed equal loading in the factors and equal covariation between the acceptance/involvement and the strictness/imposition dimensions. Additionally, the two dimensions of the ESPA29 scale were related to self-esteem in order to obtain an external validity index. The findings confirm the invariant structure of the ESPA29 was in the United States and their equivalence in both fathers’ and mothers’ scores. These findings

  1. English Validation of the Parental Socialization Scale—ESPA29

    Directory of Open Access Journals (Sweden)

    Isabel Martínez

    2017-05-01

    Full Text Available Parenting styles have traditionally been studied following the classical two-dimensional orthogonal model of parental socialization. The Parental Socialization Scale ESPA29 is used to measure the four styles of parental socialization through the acceptance/involvement and strictness/imposition dimensions. The ESPA29 scale is a developmentally appropriate measure of parenting styles, which has been validated in several languages including Spanish, Italian, and Brazilian Portuguese. In this study, the English translation of the ESPA29 was evaluated. The objective of the work is to test the ESPA29’s structure of parenting practices with a United States sample measuring parenting practices using exploratory factor analysis (EFA and confirmatory factor analysis (CFA. The scores of fathers’ and mothers’ behavioral practices toward their children were obtained for a sample of 911 United States adolescents between 14 and 18 years of age. First, the total sample was split and a principal components analysis with varimax rotation was carried out with one of the two halves. EFA showed a two-factor structure fully congruent with the theoretical model for mothers’ and fathers’ scores. Next, a CFA was calculated on the second half by using the factor structure obtained in the previous EFA. The CFA replicated the two-factor structure with appropriate fit index. The seven parenting practices that were measured loaded appropriately on the acceptance/involvement and strictness/imposition dimensions. Then, the multigroup analysis between girls and boys showed equal loading in the factors and equal covariation between the acceptance/involvement and the strictness/imposition dimensions. Additionally, the two dimensions of the ESPA29 scale were related to self-esteem in order to obtain an external validity index. The findings confirm the invariant structure of the ESPA29 was in the United States and their equivalence in both fathers’ and mothers’ scores

  2. English Validation of the Parental Socialization Scale-ESPA29.

    Science.gov (United States)

    Martínez, Isabel; Cruise, Edie; García, Óscar F; Murgui, Sergio

    2017-01-01

    Parenting styles have traditionally been studied following the classical two-dimensional orthogonal model of parental socialization. The Parental Socialization Scale ESPA29 is used to measure the four styles of parental socialization through the acceptance/involvement and strictness/imposition dimensions. The ESPA29 scale is a developmentally appropriate measure of parenting styles, which has been validated in several languages including Spanish, Italian, and Brazilian Portuguese. In this study, the English translation of the ESPA29 was evaluated. The objective of the work is to test the ESPA29's structure of parenting practices with a United States sample measuring parenting practices using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). The scores of fathers' and mothers' behavioral practices toward their children were obtained for a sample of 911 United States adolescents between 14 and 18 years of age. First, the total sample was split and a principal components analysis with varimax rotation was carried out with one of the two halves. EFA showed a two-factor structure fully congruent with the theoretical model for mothers' and fathers' scores. Next, a CFA was calculated on the second half by using the factor structure obtained in the previous EFA. The CFA replicated the two-factor structure with appropriate fit index. The seven parenting practices that were measured loaded appropriately on the acceptance/involvement and strictness/imposition dimensions. Then, the multigroup analysis between girls and boys showed equal loading in the factors and equal covariation between the acceptance/involvement and the strictness/imposition dimensions. Additionally, the two dimensions of the ESPA29 scale were related to self-esteem in order to obtain an external validity index. The findings confirm the invariant structure of the ESPA29 was in the United States and their equivalence in both fathers' and mothers' scores. These findings validate the

  3. Psychometric testing of the modified Care Dependency Scale (Neuro-CDS).

    Science.gov (United States)

    Piredda, Michela; Biagioli, Valentina; Gambale, Giulia; Porcelli, Elisa; Barbaranelli, Claudio; Palese, Alvisa; De Marinis, Maria Grazia

    2016-01-01

    Effective measures of nursing care dependency in neurorehabilitation are warranted to plan nursing interventions to help patients avoid increasing dependency. The Care Dependency Scale (CDS) is a theory-based, comprehensive tool to evaluate functional disability. This study aimed to modify the CDS for neurological and neurorehabilitation patients (Neuro-CDS) and to test its psychometric properties in adult neurorehabilitation inpatients. Exploratory factor analysis (EFA) was performed using a Maximum Likelihood robust (MLR) estimator. The Barthel Index (BI) was used to evaluate concurrent validity. Stability was measured using the Intra-class Correlation Coefficient (ICC). The sample included 124 patients (mean age = 69.7 years, 54% male). The EFA revealed a two-factor structure with good fit indexes, Factor 1 (Physical care dependence) loaded by 11 items and Factor 2 (Psycho-social care dependence) loaded by 4 items. The correlation between factors was 0.61. Correlations between Factor 1 and the BI and between Factor 2 and the BI were r = 0.843 and r = 0.677, respectively (p dependence in neurorehabilitation patients as a basis for individualized and holistic care.

  4. "Black gold" grade12-learners: relationship between leisure/sport ...

    African Journals Online (AJOL)

    This study aimed to determine whether "black gold" leisure and sport participation during a previous holiday influenced their satisfaction with life. Questionnaires were used and 288 were completed. An Exploratory Factor Analysis (EFA) on attitude towards and viewpoint on leisure and sport activities, as well as leisure and ...

  5. Variation in the Distribution of Putative Virulence and Colonization Factors in Shiga Toxin-Producing Escherichia coli Isolated from Different Categories of Cattle

    Directory of Open Access Journals (Sweden)

    Analía I. Etcheverría

    2017-04-01

    Full Text Available Shiga toxin-producing Escherichia coli (STEC are pathogens of significant public health concern. Several studies have confirmed that cattle are the main reservoir of STEC in Argentina and other countries. Although Shiga toxins represent the primary virulence factors of STEC, the adherence and colonization of the gut are also important in the pathogenesis of the bacteria. The aim of this study was to analyze and to compare the presence of putative virulence factors codified in plasmid -katP, espP, subA, stcE- and adhesins involved in colonization of cattle -efa1, iha- in 255 native STEC strains isolated from different categories of cattle from different production systems. The most prevalent gene in all strains was espP, and the less prevalent was stcE. katP was highly detected in strains isolated from young and rearing calves (33.3%, while subA was predominant in those isolated from adults (71.21%. Strains from young calves showed the highest percentage of efa1 (72.46%, while iha showed a high distribution in strains from rearing calves and adults (87.04 and 98.48% respectively. It was observed that espP and iha were widely distributed throughout all strains, whereas katP, stcE, and efa1 were more associated with the presence of eae and subA with the eae-negative strains. A great proportion of eae-negative strains were isolated from adults -dairy and grazing farms- and from rearing calves -dairy and feedlot-, while mostly of the eae-positive strains were isolated from dairy young calves. Data exposed indicate a correlation between the category of the animal and the production systems with the presence or absence of several genes implicated in adherence and virulence of STEC.

  6. Development and Validation of Academic Dishonesty Scale (ADS): Presenting a Multidimensional Scale

    Science.gov (United States)

    Bashir, Hilal; Bala, Ranjan

    2018-01-01

    The purpose of the study was to develop a scale measuring academic dishonesty of undergraduate students. The sample of the study constitutes nine hundred undergraduate students selected via random sampling technique. After receiving expert's opinions for the face and content validity of the scale, the exploratory factor analysis (EFA) and…

  7. Development and Examination of Personal and Social Responsibility Behaviors Scale

    Directory of Open Access Journals (Sweden)

    Bijen FİLİZ

    2018-03-01

    Full Text Available In this study, “Personal and Social Responsibility Behaviors Scale (PSRB-S” was developed in order to determine students’ responsibility behaviors in accordance with “Personal and Social Responsibility” model developed by Don Hellison and students’ personal and social responsibility levels were examined in terms of gender, age and years of sport practice through this scale. Pertaining to personal and social dimension of responsibility, four-category Likert type trial scale consisting of 52 items and Exploratory Factor Analysis (EFA were applied to 330 high-school students. Items that did not apply as a result of the analysis were omitted from 52-item trial scale and the scale was reduced to 14 items. A final scale consisting of two factors was created. Obtained scale was applied to different 250 high-school students for Confirmatory Factor Analysis (CFA. It has been determined that EFA and CFA results of two-factor PSRB-S and reliability and validity of internal consistency coefficients are at an acceptable level. It was not detected a significance difference in total scores of athlete students’ responsibility behaviors in terms of gender and age variables while there were significant difference in their total scores of years of sport practice.

  8. Development of brief versions of the Wechsler Intelligence Scale for schizophrenia: considerations of the structure and predictability of intelligence.

    Science.gov (United States)

    Sumiyoshi, Chika; Uetsuki, Miki; Suga, Motomu; Kasai, Kiyoto; Sumiyoshi, Tomiki

    2013-12-30

    Short forms (SF) of the Wechsler Intelligence Scale have been developed to enhance its practicality. However, only a few studies have addressed the Wechsler Intelligence Scale Revised (WAIS-R) SFs based on data from patients with schizophrenia. The current study was conducted to develop the WAIS-R SFs for these patients based on the intelligence structure and predictability of the Full IQ (FIQ). Relations to demographic and clinical variables were also examined on selecting plausible subtests. The WAIS-R was administered to 90 Japanese patients with schizophrenia. Exploratory factor analysis (EFA) and multiple regression analysis were conducted to find potential subtests. EFA extracted two dominant factors corresponding to Verbal IQ and Performance IQ measures. Subtests with higher factor loadings on those factors were initially nominated. Regression analysis was carried out to reach the model containing all the nominated subtests. The optimality of the potential subtests included in that model was evaluated from the perspectives of the representativeness of intelligence structure, FIQ predictability, and the relation with demographic and clinical variables. Taken together, the dyad of Vocabulary and Block Design was considered to be the most optimal WAIS-R SF for patients with schizophrenia, reflecting both intelligence structure and FIQ predictability. © 2013 Elsevier Ireland Ltd. All rights reserved.

  9. IMPROVING COMPETITIVE POWER PRODUCTS BY STRATEGIC ENVIRONMENTAL ANALYSIS: CASE STUDY CREDITS PRODUCTS’ EMPLOYEES OF BANK BPR

    Directory of Open Access Journals (Sweden)

    Kunto Ajibroto

    2017-09-01

    Full Text Available Strategic environment analysis is part of strategic planning component and is a process to always put the company in a strategic position, so that in its development will always be in a favorable position. By analyzing external factors and internal factors, it will be possible to find out the most appropriate strategy formulation for BPR Bhakti Daya Ekonomi in facing the increasingly fierce competition. The research method used is qualitative with data collection using interview and observation, while for data analysis using SWOT method which also use analysis of EFAS and IFAS. The results of this study indicate that the position of BPR Bhakti Daya Ekonomi for Credit Employees products is located in quadrant IV. In this quadrant the bank is in a position where its internal advantage is relatively more dominant than its weakness. However, in the face of the threat environment is relatively greater than the chances. This means that the bank has a relatively better internal capability to expand its business, especially by utilizing some of its internal strengths.

  10. Analysis of structural relationship among the occupational dysfunction on the psychological problem in healthcare workers: a study using structural equation modeling

    Directory of Open Access Journals (Sweden)

    Mutsumi Teraoka

    2015-11-01

    Full Text Available Purpose. The purpose of this study is to demonstrate the hypothetical model based on structural relationship with the occupational dysfunction on psychological problems (stress response, burnout syndrome, and depression in healthcare workers.Method. Three cross sectional studies were conducted to assess the following relations: (1 occupational dysfunction on stress response (n = 468, (2 occupational dysfunction on burnout syndrome (n = 1,142, and (3 occupational dysfunction on depression (n = 687. Personal characteristics were collected through a questionnaire (such as age, gender, and job category, opportunities for refreshment, time spent on leisure activities, and work relationships as well as the Classification and Assessment of Occupational Dysfunction (CAOD. Furthermore, study 1 included the Stress Response Scale-18 (SRS-18, study 2 used the Japanese Burnout Scale (JBS, and study 3 employed the Center for Epidemiological Studies Depression Scale (CES-D. The Kolmogorov–Smirnov test, confirmatory factor analysis (CFA, exploratory factor analysis (EFA, and path analysis of structural equation modeling (SEM analysis were used in all of the studies. EFA and CFA were used to measure structural validity of four assessments; CAOD, SRS-18, JBS, and CES-D. For examination of a potential covariate, we assessed the correlation of the total and factor score of CAOD and personal factors in all studies. Moreover, direct and indirect effects of occupational dysfunction on stress response (Study 1, burnout syndrome (Study 2, and depression (Study 3 were also analyzed.Results. In study 1, CAOD had 16 items and 4 factors. In Study 2 and 3, CAOD had 16 items and 5 factors. SRS-18 had 18 items and 3 factors, JBS had 17 items and 3 factors, and CES-D had 20 items and 4 factors. All studies found that there were significant correlations between the CAOD total score and the personal factor that included opportunities for refreshment, time spent on leisure

  11. Analysis of structural relationship among the occupational dysfunction on the psychological problem in healthcare workers: a study using structural equation modeling.

    Science.gov (United States)

    Teraoka, Mutsumi; Kyougoku, Makoto

    2015-01-01

    Purpose. The purpose of this study is to demonstrate the hypothetical model based on structural relationship with the occupational dysfunction on psychological problems (stress response, burnout syndrome, and depression) in healthcare workers. Method. Three cross sectional studies were conducted to assess the following relations: (1) occupational dysfunction on stress response (n = 468), (2) occupational dysfunction on burnout syndrome (n = 1,142), and (3) occupational dysfunction on depression (n = 687). Personal characteristics were collected through a questionnaire (such as age, gender, and job category, opportunities for refreshment, time spent on leisure activities, and work relationships) as well as the Classification and Assessment of Occupational Dysfunction (CAOD). Furthermore, study 1 included the Stress Response Scale-18 (SRS-18), study 2 used the Japanese Burnout Scale (JBS), and study 3 employed the Center for Epidemiological Studies Depression Scale (CES-D). The Kolmogorov-Smirnov test, confirmatory factor analysis (CFA), exploratory factor analysis (EFA), and path analysis of structural equation modeling (SEM) analysis were used in all of the studies. EFA and CFA were used to measure structural validity of four assessments; CAOD, SRS-18, JBS, and CES-D. For examination of a potential covariate, we assessed the correlation of the total and factor score of CAOD and personal factors in all studies. Moreover, direct and indirect effects of occupational dysfunction on stress response (Study 1), burnout syndrome (Study 2), and depression (Study 3) were also analyzed. Results. In study 1, CAOD had 16 items and 4 factors. In Study 2 and 3, CAOD had 16 items and 5 factors. SRS-18 had 18 items and 3 factors, JBS had 17 items and 3 factors, and CES-D had 20 items and 4 factors. All studies found that there were significant correlations between the CAOD total score and the personal factor that included opportunities for refreshment, time spent on leisure

  12. Comparative analysis of the biological and physical properties of Enterococcus faecalis bacteriophage vB_EfaS_GEC-EfS_3 and Streptococcus mitis bacteriophage vB_SmM_GEC-SmitisM_2.

    Science.gov (United States)

    Rigvava, Sophio; Tchgkonia, Irina; Jgenti, Darejan; Dvalidze, Teona; Carpino, James; Goderdzishvili, Marina

    2013-01-01

    Enterococcus faecalis and Streptococcus mitis are common commensal inhabitants of the human gastrointestinal and genitourinary tracts. However, both species can be opportunistic pathogens and cause disease in nosocomial settings. These infections can be difficult to treat because of the frequency of antibiotic resistance among these strains. Bacteriophages are often suggested as an alternative therapeutic agent against these infections. In this study, E. faecalis and S. mitis strains were isolated from female patients with urinary tract infections. Bacteriophages active against these strains were isolated from sewage water from the Mtkvari River. Two phages, designated vB_EfaS_GEC-EfS_3 (Syphoviridae) and vB_SmM_GEC-SmitisM_2 (Myoviridae), were specific for E. faecalis and S. mitis, respectively. Each phage's growth patterns and adsorption rates were quantified. Sensitivity to ultraviolet light and temperature was determined, as was host range and serology. The S. mitis bacteriophage was found to be more resistant to ultraviolet light and exposure to high temperatures than the E. faecalis bacteriophage, despite having a much greater rate of replication. While each phage was able to infect a broad range of strains of the same species as the host species from which they were isolated, they were unable to infect other host species tested.

  13. An interview-informed synthesized contingency analysis to inform the treatment of challenging behavior in a young child with autism.

    Science.gov (United States)

    Herman, Ciara; Healy, Olive; Lydon, Sinéad

    2018-04-01

    Experimental Functional analysis (EFA) is considered the "gold standard" of behavioural assessment and its use is predictive of treatment success. However, EFA has a number of limitations including its lengthy nature, the high level of expertise required, and the reinforcement of challenging behaviour. This study aimed to further validate a novel interview-informed synthesised contingency analysis (IISCA). An open-ended interview and brief direct observation informed an IISCA for a young boy with autism who engaged in challenging behaviour. Resulting data supported the hypothesis that the target behaviour was multiply controlled by escape from demands and access to tangible items. An intervention comprised of most-to-least prompting, escape extinction, differential reinforcement and a high-probability instruction sequence was evaluated using a reversal design. This intervention reduced challenging behaviour to low levels and resulted in increased compliance. Findings support the status of the IISCA as a valid, practical, and effective process for designing function-based interventions.

  14. Assessment of the structure of the Hospital Anxiety and Depression Scale in musculoskeletal patients

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    Bailey Catherine M

    2005-12-01

    Full Text Available Abstract Background Research suggests there is a high prevalence of anxiety and depression amongst patients with chronic musculoskeletal pain, which can influence the effectiveness of rehabilitation programs. It is therefore important for clinicians involved in musculoskeletal rehabilitation programs to consider screening patients for elevated levels of anxiety and depression and to provide appropriate counselling or treatment where necessary. The HADS has been used as a screening tool for assessment of anxiety and depression in a wide variety of clinical groups. Recent research however has questioned its suitability for use with some patient groups due to problems with dimensionality and the behaviour of individual items. The aim of this study is to assess the underlying structure and psychometric properties of the HADS among patients attending musculoskeletal rehabilitation. Methods Data was obtained from 296 patients attending an outpatient musculoskeletal pain clinic. The total sample was used to identify the proportion of patients with elevated levels of anxiety and depression. Half the sample (n = 142 was used for exploratory factor analysis (EFA, with the holdout sample (n = 154 used for confirmatory factor analysis (CFA to explore the underlying structure of the scale. Results A substantial proportion of patients were classified as probable cases on the HADS Anxiety subscale (38.2% and HADS Depression subscale (30.1%, with the sample recording higher mean HADS subscales scores than many other patient groups (breast cancer, end-stage renal disease, heart disease reported in the literature. EFA supported a two factor structure (representing anxiety and depression as proposed by the scale's authors, however item 7 (an anxiety item failed to load appropriately. Removing Item 7 resulted in a clear two factor solution in both EFA and CFA. Conclusion The high levels of anxiety and depression detected in this sample suggests that screening for

  15. Assessment of the structure of the Hospital Anxiety and Depression Scale in musculoskeletal patients

    Science.gov (United States)

    Pallant, Julie F; Bailey, Catherine M

    2005-01-01

    Background Research suggests there is a high prevalence of anxiety and depression amongst patients with chronic musculoskeletal pain, which can influence the effectiveness of rehabilitation programs. It is therefore important for clinicians involved in musculoskeletal rehabilitation programs to consider screening patients for elevated levels of anxiety and depression and to provide appropriate counselling or treatment where necessary. The HADS has been used as a screening tool for assessment of anxiety and depression in a wide variety of clinical groups. Recent research however has questioned its suitability for use with some patient groups due to problems with dimensionality and the behaviour of individual items. The aim of this study is to assess the underlying structure and psychometric properties of the HADS among patients attending musculoskeletal rehabilitation. Methods Data was obtained from 296 patients attending an outpatient musculoskeletal pain clinic. The total sample was used to identify the proportion of patients with elevated levels of anxiety and depression. Half the sample (n = 142) was used for exploratory factor analysis (EFA), with the holdout sample (n = 154) used for confirmatory factor analysis (CFA) to explore the underlying structure of the scale. Results A substantial proportion of patients were classified as probable cases on the HADS Anxiety subscale (38.2%) and HADS Depression subscale (30.1%), with the sample recording higher mean HADS subscales scores than many other patient groups (breast cancer, end-stage renal disease, heart disease) reported in the literature. EFA supported a two factor structure (representing anxiety and depression) as proposed by the scale's authors, however item 7 (an anxiety item) failed to load appropriately. Removing Item 7 resulted in a clear two factor solution in both EFA and CFA. Conclusion The high levels of anxiety and depression detected in this sample suggests that screening for psychological

  16. Determining the Number of Factors in P-Technique Factor Analysis

    Science.gov (United States)

    Lo, Lawrence L.; Molenaar, Peter C. M.; Rovine, Michael

    2017-01-01

    Determining the number of factors is a critical first step in exploratory factor analysis. Although various criteria and methods for determining the number of factors have been evaluated in the usual between-subjects R-technique factor analysis, there is still question of how these methods perform in within-subjects P-technique factor analysis. A…

  17. A Beginner’s Guide to Factor Analysis: Focusing on Exploratory Factor Analysis

    Directory of Open Access Journals (Sweden)

    An Gie Yong

    2013-10-01

    Full Text Available The following paper discusses exploratory factor analysis and gives an overview of the statistical technique and how it is used in various research designs and applications. A basic outline of how the technique works and its criteria, including its main assumptions are discussed as well as when it should be used. Mathematical theories are explored to enlighten students on how exploratory factor analysis works, an example of how to run an exploratory factor analysis on SPSS is given, and finally a section on how to write up the results is provided. This will allow readers to develop a better understanding of when to employ factor analysis and how to interpret the tables and graphs in the output.

  18. Thermal management of microelectronics with electrostatic fluid accelerators

    International Nuclear Information System (INIS)

    Wang, Hsiu-Che; Jewell-Larsen, Nels E.; Mamishev, Alexander V.

    2013-01-01

    Optimal thermal management is critical in modern consumer electronics. Typically, a thermal management scheme for an electronic system involves several physical principles. In many cases, it is highly desirable to enhance heat transfer at the solid-air interface while maintaining small size of the thermal management solution. The enhancement of heat transfer at the solid-air interface can be achieved by several physical principles. One principle that is getting increased attention of thermal management design engineers is electrostatic fluid acceleration. This paper discusses recent breakthroughs in state-of-the-art of electrostatic fluid accelerators (EFAs). The paper compares and contrasts EFAs’ design and performance metrics to those of other airside cooling technologies used in small form factor applications. Since the energy efficiency, flow rate, and acoustic emissions are highly influenced by the scale of the airside cooling devices, the paper also presents the analysis of fundamental effect of scaling laws on heat transfer performance. The presented review and analysis helps drawing conclusions regarding achievable comparative performance and practicality of using different design approaches and physical principles for different applications. -- Highlights: ► Discuss breakthrough in state-of-the-art of electrostatic fluid accelerators (EFA). ► Compare EFAs' performance metrics to those of other airside cooling technologies. ► Show analysis of fundamental effect of scaling laws on heat transfer performance

  19. Diversity Leadership Skills of School Administrators: A Scale Development Study

    Science.gov (United States)

    Polat, Soner; Arslan, Yaser; Ölçüm, Dinçer

    2017-01-01

    The aim of this study is to develop a valid and reliable instrument to determine the level of school administrators' diversity leadership based on teachers' perceptions. For this purpose, an item pool was created which includes 68 questions based on the literature, and data were obtained from 343 teachers. Exploratory factor analysis (EFA) was…

  20. Value-Eroding Teacher Behaviors Scale: A Validity and Reliability Study

    Science.gov (United States)

    Arseven, Zeynep; Kiliç, Abdurrahman; Sahin, Seyma

    2016-01-01

    In the present study, it is aimed to develop a valid and reliable scale for determining value-eroding behaviors of teachers, hence their values of judgment. The items of the "Value-eroding Teacher Behaviors Scale" were designed in the form of 5-point likert type rating scale. The exploratory factor analysis (EFA) was conducted to…

  1. Psychometric properties of Spector’s job satisfaction survey in the Iranian population

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    Ali Akbar Akbaritabar

    2013-03-01

    Full Text Available Introduction: Job satisfaction is one of the important variables in the evaluation of work health. Job satisfaction survey developed by Paul Spector to measure this variable in job settings. The aim of this study was to examine the psychometric properties of Spector’s Job Satisfaction (JSS Survey in Iran.Materials and Methods: In this study, Spector’s questionnaire was translated in Persian languge. A sample of 415 employees in Kerman (Iran hospitals participated in this study and filled out the questionnaires. Results: Cronbach’s alpha reliability analysis showed appropriate item-total correlations for subscales and a good total scale internal consistency. An exploratory factor analysis (EFA identified 6 factors in participants’ reponses which could explain 65.44 percent of the total variance altogether.Conclusion: EFA identified dimensions of pay, promotion, supervision, coworkers, nature of work, and communication. These findings showed that JSS has a good construct validity and internal consistency. Persian translation of JSS is a reliable and valid measure to assess job satisfaction in Iran

  2. Development of a brief substance use sensation seeking scale: validation and prediction of injection-related behaviors.

    Science.gov (United States)

    Werb, Dan; Richardson, Chris; Buxton, Jane; Shoveller, Jeannie; Wood, Evan; Kerr, Thomas

    2015-02-01

    Sensation seeking, a personality trait, has been shown to predict engagement in high-risk behaviors. However, little is known regarding the impact of sensation seeking on substance use among street youth. We therefore sought to modify a sensation seeking scale (SSS) for use among this population. Street youth from the Vancouver-based At-Risk Youth Study (n = 226) completed the modified SSS. Exploratory and confirmatory factor analysis (EFA/CFA) were undertaken to establish the scale's dimensionality and internal validity. The association between SSS score and injection-related behaviors was tested using generalized estimating equation analysis. EFA results indicated scale unidimensionality. The comparative fit index (CFI) suggested acceptable fit (CFI = 0.914). In multivariate analysis, sensation seeking was independently associated with injection drug use, crystal methamphetamine use, polysubstance use, and binge drug use (all p < 0.05). Our findings provide preliminary support for the use of the modified SSS among street youth.

  3. The Spanish-Version of the Subjective Vitality Scale: Psychometric Properties and Evidence of Validity.

    Science.gov (United States)

    Castillo, Isabel; Tomás, Inés; Balaguer, Isabel

    2017-06-05

    The Subjective Vitality Scale (SVS) assess the subjective experience of being full of energy and alive, a clinically relevant outcome measure of positive psychological well-being. The purpose of this paper was to translate the 7-item SVS into Spanish and examine its psychometric properties. In Study 1 (n = 790 adolescents) and Study 2 (n = 130 athletes) reliability and exploratory factor analysis (EFA) were carried out. In Study 1 and Study 3 (n = 197 dancers) evidence of validity of inferences based on SVS scores estimating relationships with other variables (life satisfaction, global self-esteem and emotional and physical exhaustion) was obtained. In Study 2 invariance across time was tested. Finally in Study 3, the factorial structure was cross-validated using confirmatory factor analysis (CFA). Results of EFA showed a one-factor solution. CFA also supported a unidimensional factor structure for the Spanish 6-item SVS (RMSEA = .050 (90% CI = .00, .080); NNFI = .993; CFI = .996). Reliability analysis indicated a strong internal consistency in all study samples (α ranged from .82 to .89). Further, results from multi-sample analysis supported the replicability of SVS factor structure across time. Finally, the SVS scores showed the expected correlations patterns (all them significant, p < .01) with the measured outcomes. In conclusion, the Spanish version of the SVS demonstrated adequate psychometric properties, indicating that the scale can be confidently used to measure the experience of possessing energy and aliveness; furthermore, differences across time can be meaningfully carried out.

  4. An easy guide to factor analysis

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    Kline, Paul

    2014-01-01

    Factor analysis is a statistical technique widely used in psychology and the social sciences. With the advent of powerful computers, factor analysis and other multivariate methods are now available to many more people. An Easy Guide to Factor Analysis presents and explains factor analysis as clearly and simply as possible. The author, Paul Kline, carefully defines all statistical terms and demonstrates step-by-step how to work out a simple example of principal components analysis and rotation. He further explains other methods of factor analysis, including confirmatory and path analysis, a

  5. A Comparison of Experimental Functional Analysis and the Questions about Behavioral Function (QABF) in the Assessment of Challenging Behavior of Individuals with Autism

    Science.gov (United States)

    Healy, Olive; Brett, Denise; Leader, Geraldine

    2013-01-01

    We compared two functional behavioral assessment methods: the Questions About Behavioral Function (QABF; a standardized test) and experimental functional analysis (EFA) to identify behavioral functions of aggressive/destructive behavior, self-injurious behavior and stereotypy in 32 people diagnosed with autism. Both assessments found that self…

  6. The origin of endodontic Enterococcus faecalis explored by comparison of virulence factor patterns and antibiotic resistance to that of isolates from stool samples, blood cultures and food.

    Science.gov (United States)

    Vidana, R; Rashid, M U; Özenci, V; Weintraub, A; Lund, B

    2016-04-01

    To elucidate the origin of Enterococcus faecalis isolated from secondary root canal infections and the possibility for a foodborne transmission by comparing them to strains recovered from food, blood and stool regarding putative virulence factors and antibiotic susceptibility profiles, where strains from common origin were hypothesized to harbour similar characteristics. A total of 108 E. faecalis strains recovered in the county of Stockholm, Sweden, were screened using PCR for putative virulence factors esp, cylA, gelE/gelatinase-negative phenotype (ef1841/fsrC), efaA, ace and asa1. The minimum inhibitory concentration (MIC) for ampicillin, piperacillin-tazobactam, imipenem, gentamicin, vancomycin, ciprofloxacin and linezolid was determined using the agar dilution method. Next to strains from blood, the food isolates presented the highest average number of virulence determinants and were frequently enriched with asa1 coding for aggregation substance. None of the endodontic strains carried cylA, and the gelatinase-negative phenotype caused by a deletion dominated the group. Altogether, the most prevalent genes were gelE, efaA and ace, and a combination of them was equally present in approximately 80% of the strains from food, stool and root canals in comparison with 43.3% of the blood isolates. High-level resistance to ciprofloxacin and gentamicin was observed in 30% of the blood isolates, whereas the isolates from other origins, with single exceptions, were susceptible to all tested antibiotics. Evidence for a foodborne transmission, explaining the high reported prevalence of E. faecalis in root filled teeth, could not be determined based on the similarities in virulence factor patterns and antibiotic susceptibility. The only linkage between isolates from food and root canals consisted of a shared common combination of the genes gelE, efaA and ace. The high occurrence of putative virulence traits in food isolates questions the safety of E. faecalis in food

  7. Psychometric Properties of the Brief Version of the Social Skills Inventory for Adolescents.

    Science.gov (United States)

    Romera Leme, Vanessa Barbosa; Valentini, Felipe; Campos, Josiane Rosa; Del Prette, Almir; Del Prette, Zilda A P

    2017-07-31

    The present study aimed to evaluate the evidence of internal structure and scores reliability of the Social Skills Inventory for adolescents - brief version (IHSA-Del-Prette). The following analyses were performed: (1) Exploratory Factor Analysis - EFA; (2) Confirmatory Factor Analysis - CFA; (3) Reliability; (4) Multigroup Analysis (invariance). The participants were 2,291 students of the Middle and High Schools, both sexes aged 12 to 17 years old divided into two sample groups: 1,172 participants in sample group 1 (collected 2006-2007) and 1,119 in sample group 2 (collected 2011-2012). The results of the EFA (group 1) support the four subscales structure (Self-control, Affective Approach, Empathy and Assertiveness) for 16 items (loadings > .30). The structure was confirmed by the CFA performed on the second group (CFI = .96, TLI = .95, RMSEA = .05, 90% CI [.04, .05], loadings > .50); and showed scalar invariance (samples 1 and 2) due to group and age, as well as partial scalar invariance due to gender (ΔCFI < .01; ΔNCI < .02). It was concluded the brief version of IHSA-Del-Prette presents psychometric properties for use in the Brazilian context.

  8. Validity of Pieron’s Questionnaire on Physical/Sports Habits and Behaviors in Young People from Northern Mexico

    Directory of Open Access Journals (Sweden)

    Arnulfo Ramos-Jiménez

    2010-11-01

    Full Text Available Several self-report questionnaires have been used to evaluate various determiners of sports practice in young people, but very few have been applied to Mexicans. In this analysis, the questionnaire was administered to 222 subjects (13-25 years. We determined its internal consistency (Cronbach , content validity (document analysis, construct (Exploratory Factor Analysis, EFA as well as that of the criterion. The latter, by its correlation (Spearman with anthropometric variables: body mass index (BMI and waist circumference (WC* and physiological (VO2max. The results showed that the internal consistency is acceptable (Cronbach’s = 0.68 to 0.85. Moreover, this questionnaire similarly responds to queries posed in surveys already reported (to find out the physical, educational, psychological and socio-demographic characteristics of physical/sports practice. The EFA showed 1, 2 and 3 factor structures with adequate Cronbach´s (~0,70 and Kaiser-Meyer-Olkin (~0,72 values. The practice of physical activity was associated with a lower BMI and higher VO2max. The questionnaire proved to be a valid instrument for investigating physical/sports habits and behavior in young people from northern Mexico.

  9. A CONFIRMATORY STUDY OF SUPPLY CHAIN PERFORMANCE AND COMPETITIVENESS OF INDIAN MANUFACTURING ORGANIZATIONS

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    Amit Kumar Marwah

    2014-03-01

    Full Text Available This paper presents finding of a study on Indian manufacturing organizations. A conceptual model is proposed based on a rigorous literature review. The model so developed undergoes through a confirmatory factor analysis (CFA using Structural Equation Modeling (SEM approach. The paper highlights various factors responsible for supply chain performance (SCP, subsequently leading to competitiveness. The survey involves 361 manufacturing organizations across India and the data is gathered using 5-point Likert scale. The study a ttempts to integrate various factors contributing to SCP in a single study. It is proposed to further test the model using exploratory factor analysis (EFA.

  10. Evaluating Parents' Self-Efficacy for Diabetes Management in Pediatric Type 1 Diabetes.

    Science.gov (United States)

    Noser, Amy E; Patton, Susana R; Van Allen, Jason; Nelson, Michael B; Clements, Mark A

    2017-04-01

    To examine the factor structure and construct validity of the Maternal Self-Efficacy for Diabetes Management Scale (MSED) in 135 youth ( Mage  = 13.50  ±  1.83 years), with type 1 diabetes mellitus. The study used exploratory factor analysis (EFA) to examine the factor structure and correlations to examine relationships among MSED factors and select parent and child diabetes-related health behaviors and outcomes. EFA identified an 11-item three-factor solution (χ 2 (25, n  = 133)  = 40.22, p  manage their child's diabetes (MSED-M), problem-solve issues surrounding glycemic control (MSED-P), and teach their child about diabetes care (MSED-T). Correlational analyses revealed significant associations between the MSED-M and MSED-T and parent-reported optimism and youth's diabetes-specific self-efficacy. The MSED-T was also associated with glycated hemoglobin and self-monitoring blood glucose. Results provide preliminary evidence for the reliability and validity of a three-factor solution of the MSED. © The Author 2016. Published by Oxford University Press on behalf of the Society of Pediatric Psychology. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com

  11. Construct validity test of evaluation tool for professional behaviors of entry-level occupational therapy students in the United States

    Directory of Open Access Journals (Sweden)

    Hon K. Yuen

    2016-06-01

    Full Text Available Purpose: This study aimed to test the construct validity of an instrument to measure student professional behaviors in entry-level occupational therapy (OT students in the academic setting. Methods: A total of 718 students from 37 OT programs across the United States answered a self-assessment survey of professional behavior that we developed. The survey consisted of ranking 28 attributes, each on a 5-point Likert scale. A split-sample approach was used for exploratory and then confirmatory factor analysis. Results: A three-factor solution with nine items was extracted using exploratory factor analysis [EFA] (n=430, 60%. The factors were ‘Commitment to Learning’ (2 items, ‘Skills for Learning’ (4 items, and ‘Cultural Competence’ (3 items. Confirmatory factor analysis (CFA on the validation split (n=288, 40% indicated fair fit for this three-factor model (fit indices: CFI=0.96, RMSEA=0.06, and SRMR=0.05. Internal consistency reliability estimates of each factor and the instrument ranged from 0.63 to 0.79. Conclusion: Results of the CFA in a separate validation dataset provided robust measures of goodness-of-fit for the three-factor solution developed in the EFA, and indicated that the three-factor model fitted the data well enough. Therefore, we can conclude that this student professional behavior evaluation instrument is a structurally validated tool to measure professional behaviors reported by entry-level OT students. The internal consistency reliability of each individual factor and the whole instrument was considered to be adequate to good.

  12. The faking orgasm scale for women: psychometric properties.

    Science.gov (United States)

    Cooper, Erin B; Fenigstein, Allan; Fauber, Robert L

    2014-04-01

    The Faking Orgasm Scale for Women (FOS) was designed to assess women's self-reported motives for faking orgasm during oral sex and sexual intercourse. Exploratory factor analysis (EFA) was conducted on the responses of 481 heterosexual undergraduate females (M age = 20.33 years, SD = 2.48). Results of the EFA revealed that the FOS-Sexual Intercourse Subscale was composed of four factors: (1) Altruistic Deceit, faking orgasm out of concern for a partner's feelings; (2) Fear and Insecurity, faking orgasm to avoid negative emotions associated with the sexual experience; (3) Elevated Arousal, a woman's attempt to increase her own arousal through faking orgasm; and (4) Sexual Adjournment, faking orgasm to end sex. The analysis of the FOS-Oral Sex Subscale yielded four factors: (1) Altruistic Deceit; (2) Insecure Avoidance, faking orgasm to avoid feelings of insecurity; (3) Elevated Arousal; and (4) Fear of Dysfunction, faking orgasm to cope with concerns of being abnormal. Each factor of the two subscales was found to have excellent internal consistency. Confirmatory factor analysis on a separate sample of 398 heterosexual female undergraduates (M age = 20.52 years, SD = 2.55) confirmed the factor structure of each subscale with excellent fit statistics. The FOS should allow researchers and clinicians to better understand why women fake orgasm. Deepening this understanding may serve future research examining sexual desire, satisfaction, and dysfunction as well as have applications in sex and couples' therapy.

  13. Item Response Theory Analyses of the Cambridge Face Memory Test (CFMT)

    Science.gov (United States)

    Cho, Sun-Joo; Wilmer, Jeremy; Herzmann, Grit; McGugin, Rankin; Fiset, Daniel; Van Gulick, Ana E.; Ryan, Katie; Gauthier, Isabel

    2014-01-01

    We evaluated the psychometric properties of the Cambridge face memory test (CFMT; Duchaine & Nakayama, 2006). First, we assessed the dimensionality of the test with a bi-factor exploratory factor analysis (EFA). This EFA analysis revealed a general factor and three specific factors clustered by targets of CFMT. However, the three specific factors appeared to be minor factors that can be ignored. Second, we fit a unidimensional item response model. This item response model showed that the CFMT items could discriminate individuals at different ability levels and covered a wide range of the ability continuum. We found the CFMT to be particularly precise for a wide range of ability levels. Third, we implemented item response theory (IRT) differential item functioning (DIF) analyses for each gender group and two age groups (Age ≤ 20 versus Age > 21). This DIF analysis suggested little evidence of consequential differential functioning on the CFMT for these groups, supporting the use of the test to compare older to younger, or male to female, individuals. Fourth, we tested for a gender difference on the latent facial recognition ability with an explanatory item response model. We found a significant but small gender difference on the latent ability for face recognition, which was higher for women than men by 0.184, at age mean 23.2, controlling for linear and quadratic age effects. Finally, we discuss the practical considerations of the use of total scores versus IRT scale scores in applications of the CFMT. PMID:25642930

  14. [Dimensions of Empathy in Ex-Combatants of the Colombian Armed Conflict Using a Standardized Scale].

    Science.gov (United States)

    Pineda, David A; Aguirre-Acevedo, Daniel Camilo; Trujillo, Natalia; Valencia, Ana María; Pareja, Ángela; Tobón, Carlos; Velilla, Lina; Ibáñez, Agustín

    2013-03-01

    Empathy is one of the main concepts of in social neurosciences. It is defined as a trait with multiple dimensions allowing individuals to place themselves in the emotional states of others. Colombia has an irregular, internal and long-lasting armed conflict which has been increasing its cruelty levels. to assess the empathy dimensions of 285 ex-combatants from the internal Colombian conflict, using the Interpersonal Reactivity Index(IRI) in Spanish. METHODOLOGY AND SUBJECTS: a sample of 285 male ex-combatants, 241 (84, 6%) males: 85,3% paramilitaries, and 14,7% guerillas. The 28 Item IRI questionnaires were administered. 3 exploratory factor analyses (EFA) were performed. Confirmatory factor analyses (CFA) were developed using structural equation procedures. The first EFA obtained 9 factors (KMO=0,74, variance 54,7% and internal consistency (IC): 0,22 - 0,63). The second EFA produced 20 items with burdens above 0,4 and showed a 6-factor structure (KMO=0,70, variance 50,3%, IC: 0,37 - 0,63). The third EFA forced the 4 original IRI dimensions (KMO=0,74, variance 33,77, IC: 0,44 - 0,77. CFAs showed goodness of adjustment indexes adequate for the three models. The 4-factor model obtained the lowest value, while the 6-factor model obtained the highest. The 4- factor model showed the best IC. The Spanish IRI administered to ex-combatants of the Colombian conflict has possible structures of 4, 6 and 9 factors. The best adjustment was for the 6-fctor. The 4-factor model exhibited the best IC. Copyright © 2013 Asociación Colombiana de Psiquiatría. Publicado por Elsevier España. All rights reserved.

  15. Validity and Reliability of Malay Version of the Job Content Questionnaire among Public Hospital Female Nurses in Malaysia.

    Science.gov (United States)

    Amin, N A; Quek, K F; Oxley, J A; Noah, R M; Nordin, R

    2015-10-01

    The Job Content Questionnaire (M-JCQ) is an established self-reported instrument used across the world to measure the work dimensions based on the Karasek's demand-control-support model. To evaluate the psychometrics properties of the Malay version of M-JCQ among nurses in Malaysia. This cross-sectional study was carried out on nurses working in 4 public hospitals in Klang Valley area, Malaysia. M-JCQ was used to assess the perceived psychosocial stressors and physical demands of nurses at their workplaces. Construct validity of the questionnaire was examined using exploratory factor analysis (EFA). Cronbach's α values were used to estimate the reliability (internal consistency) of the M-JCQ. EFA showed that 34 selected items were loaded in 4 factors. Except for psychological job demand (Cronbach's α 0.51), the remaining 3 α values for 3 subscales (job control, social support, and physical demand) were greater than 0.70, indicating acceptable internal consistency. However, an item was excluded due to poor item-total correlation (rMalaysia.

  16. Impact of Health Care Employees’ Job Satisfaction on Organizational Performance Support Vector Machine Approach

    Directory of Open Access Journals (Sweden)

    CEMIL KUZEY

    2018-01-01

    Full Text Available This study is undertaken to search for key factors that contribute to job satisfaction among health care workers, and also to determine the impact of these underlying dimensions of employee satisfaction on organizational performance. Exploratory Factor Analysis (EFA is applied to initially uncover the key factors, and then, in the next stage of analysis, a popular data mining technique, Support Vector Machine (SVM is employed on a sample of 249 to determine the impact of job satisfaction factors on organizational performance. According to the proposed model, the main factors are revealed to be management’s attitude, pay/reward, job security and colleagues.

  17. Factor analysis

    CERN Document Server

    Gorsuch, Richard L

    2013-01-01

    Comprehensive and comprehensible, this classic covers the basic and advanced topics essential for using factor analysis as a scientific tool in psychology, education, sociology, and related areas. Emphasizing the usefulness of the techniques, it presents sufficient mathematical background for understanding and sufficient discussion of applications for effective use. This includes not only theory but also the empirical evaluations of the importance of mathematical distinctions for applied scientific analysis.

  18. Drivers for precision livestock technology adoption: A study of factors associated with adoption of electronic identification technology by commercial sheep farmers in England and Wales.

    Science.gov (United States)

    Lima, Eliana; Hopkins, Thomas; Gurney, Emma; Shortall, Orla; Lovatt, Fiona; Davies, Peers; Williamson, George; Kaler, Jasmeet

    2018-01-01

    The UK is the largest lamb meat producer in Europe. However, the low profitability of sheep farming sector suggests production efficiency could be improved. Although the use of technologies such as Electronic Identification (EID) tools could allow a better use of flock resources, anecdotal evidence suggests they are not widely used. The aim of this study was to assess uptake of EID technology, and explore drivers and barriers of adoption of related tools among English and Welsh farmers. Farm beliefs and management practices associated with adoption of this technology were investigated. A total of 2000 questionnaires were sent, with a response rate of 22%. Among the respondents, 87 had adopted EID tools for recording flock information, 97 intended to adopt it in the future, and 222 neither had adopted it, neither intended to adopt it. Exploratory factor analysis (EFA) and multivariable logistic regression modelling were used to identify farmer beliefs and management practices significantly associated with adoption of EID technology. EFA identified three factors expressing farmer's beliefs-external pressure and negative feelings, usefulness and practicality. Our results suggest farmer's beliefs play a significant role in technology uptake. Non-adopters were more likely than adopters to believe that 'government pressurise farmers to adopt technology'. In contrast, adopters were significantly more likely than non-adopters to see EID as practical and useful (p≤0.05). Farmers with higher information technologies literacy and intending to intensify production in the future were significantly more likely to adopt EID technology (p≤0.05). Importantly, flocks managed with EID tools had significantly lower farmer- reported flock lameness levels (p≤0.05). These findings bring insights on the dynamics of adoption of EID tools. Communicating evidence of the positive effects EID tools on flock performance and strengthening farmer's capability in use of technology are likely

  19. Faktor – Faktor Yang Memengaruhi Pasangan Usia Subur ( PUS ) Terhadap Pemakaian Metode Kontrasepsi Jangka Panjang di Kecamatan Medan Denai

    OpenAIRE

    Amelia, Agustia Rizky

    2016-01-01

    Long-term contraception (LTM) is a contraceptive that is used to delay, space pregnancy was, and stop fertility which is used to cover long-term IUD, implant, and safe contraception. Total EFA long-term contraceptive methods as much as 4694 soul that IUD use in 2951 people (18.5%), MOW 649 people (4.1%), Implant 1094 people (6.8%) in the district of Medan Denai. This study aims to identify factors - factors that affect the use of contraceptives EFA LTCM in Medan Denai Subdistrict. This resear...

  20. Whose Education Policies in Aid-Receiving Countries? A Critical Discourse Analysis of Quality and Normative Transfer through Cambodia and Laos

    Science.gov (United States)

    McCormick, Alexandra

    2012-01-01

    Critical discourse analysis of policy contexts and documents has been employed in this research to analyze the role of language in promoting normative positions affecting the quality of education in Cambodia and Laos. The article examines the ways institutional normative influences at multiple levels within the Education for All (EFA) program have…

  1. Understanding the Areas and Correlates of Diabetes-Related Distress in Parents of Teens With Type 1 Diabetes.

    Science.gov (United States)

    Hessler, Danielle; Fisher, Lawrence; Polonsky, William; Johnson, Nicole

    2016-08-01

    To identify the unique areas of diabetes-related distress (DD) for parents of teens with type 1 diabetes and parent and teen characteristics associated with DD. Areas of DD were developed from structured interviews and translated into 46 survey items. Items were analyzed with exploratory factor analysis (EFA). An EFA with 332 parents (88% mothers) reduced items to four Parent Diabetes Distress Scale (PDDS) factors (20 items, α = .94): Personal, Teen Management, Parent/Teen Relationship, and Healthcare Team Distress. Parent DD was higher among fathers, younger or single parents, parents of teens with higher hemoglobin A1c or severe low blood glucose levels, authoritarian parenting, depressive symptoms, and low emotional support. 4 areas of parent DD were identified using a newly developed measure, the PDDS. DD was associated with family demographic, teen diabetes status, and parent contextual factors, and can help identify parents who may be more vulnerable to DD. © The Author 2016. Published by Oxford University Press on behalf of the Society of Pediatric Psychology. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

  2. Turkish adaptation of the pregnancy-related anxiety questionnaire-revised 2: Validity and reliability study in multiparous and primiparous pregnancy.

    Science.gov (United States)

    Aksoy Derya, Yeşim; Timur Taşhan, Sermin; Duman, Mesude; Durgun Ozan, Yeter

    2018-07-01

    The purpose of this study was to create a Turkish version of the Pregnancy-Related Anxiety Questionnaire-Revised 2 (PRAQR2), which was revised for application to multiparous and primiparous pregnancy, and to explore its psychometric characteristics in multiparous and primiparous pregnancy. This study was methodologically designed to assess the reliability and validity of the PRAQ-R2. The study was carried out in the obstetrics clinic of a training and research hospital in Malatya. A total of 616 healthy pregnant women (399 multiparous and 217 primiparous) constituted the sample of the study. The cultural adaptation process of the questionnaire was conducted in three phases: language validity, content validity, and pilot application. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to test the construct validity of the questionnaire. The reliability of the PRAQ-R2 was evaluated with Cronbach's alpha internal consistency coefficient, item-total correlation, test-retest analysis, and parallel forms reliability. The EFA revealed that the PRAQ-R2 consists of 10 items for the multiparous group and 11 for the primiparous group after adding the item ``I am anxious about the delivery because I have never experienced one before.'' The CFA for both groups supported the three-factor questionnaire yielded by the EFA. Good fit index values were obtained in both groups. Cronbach's alpha internal consistency coefficient ranged from 0.81 to 0.93 for the multiparous group and 0.87 to 0.94 for the primiparous group for the complete PRAQ-R2 and each of its subdimensions. In addition, the item-total correlation, test-retest analysis, and parallel forms reliability of the questionnaire were highly correlated. The PRAQ-R2 is a valid and reliable instrument that can be used to evaluate the level of anxiety in Turkish pregnant women irrespective of parity. The use of the PRAQ-R2 in prenatal healthcare services will contribute to the early diagnosis

  3. Social Studies Oriented Achievement Goal Scale (SOAGS: Validity and Reliability Study

    Directory of Open Access Journals (Sweden)

    Melehat GEZER

    2016-12-01

    Full Text Available This study aims to develop a valid and reliable instrument for measuring students' social studies achievement goal. The research was conducted on a study group consisted of 374 middle school students studying in the central district of Diyarbakır in 2014-2015 school year fall semester. Expert opinion was consulted with regard to the scale's content and face validity. Exploratory Factor Analysis (EFA and Confirmatory Factor Analysis (CFA were performed in order to measure the scale's construct validity. As a result of EFA, a 29-item and a six-factor structure model which explains 50.82% of the total variance was obtained. The emerging factors were called as a self-approach, task-approach, other-approach, task-avoidance, other-avoidance and self-avoidance respectively. The findings acquired CFA indicated that the 29-item and six-factor structure related to social studies oriented achievement goal scale have acceptable goodness of fit indices. The scale's reliability coefficients were calculated by means of internal consistency method. As a result of reliability analysis, it was determined that the reliability coefficients were within admissible limits. The finding of the item correlation and 27% of upper and lower group comparisons demonstrated that all of the items in the scale should remain. In light of these results, it could be argued that the scale is reliable and valid instrument and can be used in order to test students' social studies achievement goals.

  4. The Ugandan Youth Quality of Life index: assessing the relevance of incorporating perceived importance into the quality of life measure and factors associated with the quality of life among youth in slum areas of Kampala, Uganda.

    Science.gov (United States)

    Renzaho, Andre M N; Kamara, Joseph Kihika; Kamanga, Gilbert

    2016-01-01

    While quality of life (QoL) has long been an explicit policy goal for international development programmes, no instruments have specifically been developed for measuring health-related QoL in resource-limited settings. The aim of this study was to develop and validate a QoL instrument for use in international aid and development programmes and to assess factors associated with QoL among youth participating in a civic engagement project in Kampala. Using systematic random sampling, data were collected on 663 participants aged between 13 and 24 years in Kampala. The QoL questionnaire included 36 questions divided into a two-part scale: 18 questions rated for satisfaction (Part 1) and 18 other questions rated on importance (Part 2). The total sample was randomly divided into two split-half samples: one for the exploratory factor analysis (EFA; N=310) and the other for the confirmatorty factor analysis (CFA; N=353). The effect of demographic, socio-economic, and lifestyle factors on QoL was assessed using linear regressions. The EFA yielded three factors: living conditions and lifestyle (seven items, α=0.84), social relationships (five items, α=0.86), and personal independence (five items, α=0.76). In the CFA, the initial model demonstrated a poor to marginal fit model. Its re-specification by examining modification indices resulted in a good model fit: Comparative Fit Index=0.95, Root Mean Square Error of Approximation=0.06, and p of Close Fit >0.05. The model incorporating perceived importance had lower Akaike Information Criteria and Bayesian Information Criteria values than the unweighted model, thereby providing very strong support to weight satisfaction scores with importance ratings when measuring QoL in Uganda. Poor QoL was associated with poor educational attainment, drug and substance misuse, and family disruption. The findings suggest that there is a relationship between QoL and lifestyle and structural issues among youth in Uganda. The study provides the

  5. The Ugandan Youth Quality of Life index: assessing the relevance of incorporating perceived importance into the quality of life measure and factors associated with the quality of life among youth in slum areas of Kampala, Uganda

    Directory of Open Access Journals (Sweden)

    Andre M. N. Renzaho

    2016-07-01

    Full Text Available Background: While quality of life (QoL has long been an explicit policy goal for international development programmes, no instruments have specifically been developed for measuring health-related QoL in resource-limited settings. The aim of this study was to develop and validate a QoL instrument for use in international aid and development programmes and to assess factors associated with QoL among youth participating in a civic engagement project in Kampala. Design: Using systematic random sampling, data were collected on 663 participants aged between 13 and 24 years in Kampala. The QoL questionnaire included 36 questions divided into a two-part scale: 18 questions rated for satisfaction (Part 1 and 18 other questions rated on importance (Part 2. The total sample was randomly divided into two split-half samples: one for the exploratory factor analysis (EFA; N=310 and the other for the confirmatorty factor analysis (CFA; N=353. The effect of demographic, socio-economic, and lifestyle factors on QoL was assessed using linear regressions. Results: The EFA yielded three factors: living conditions and lifestyle (seven items, α=0.84, social relationships (five items, α=0.86, and personal independence (five items, α=0.76. In the CFA, the initial model demonstrated a poor to marginal fit model. Its re-specification by examining modification indices resulted in a good model fit: Comparative Fit Index=0.95, Root Mean Square Error of Approximation=0.06, and p of Close Fit >0.05. The model incorporating perceived importance had lower Akaike Information Criteria and Bayesian Information Criteria values than the unweighted model, thereby providing very strong support to weight satisfaction scores with importance ratings when measuring QoL in Uganda. Poor QoL was associated with poor educational attainment, drug and substance misuse, and family disruption. Conclusions: The findings suggest that there is a relationship between QoL and lifestyle and

  6. Calculating Puerto Rico’s Ecological Footprint (1970–2010 Using Freely Available Data

    Directory of Open Access Journals (Sweden)

    Matthew E. Hopton

    2015-07-01

    Full Text Available Ecological Footprint Analysis (EFA is appealing as a metric of sustainability because it is straightforward in theory and easy to conceptualize. However, EFA is difficult to implement because it requires extensive data. A simplified approach to EFA that requires fewer data can serve as a perfunctory analysis allowing researchers to examine a system with relatively little cost and effort. We examined whether a simplified approach using freely available data could be applied to Puerto Rico, a densely populated island with limited land resources. Forty-one years of data were assembled to compute the ecological footprint from 1970 to 2010. According to EFA, individuals in Puerto Rico were moving toward sustainability over time, as the per capita ecological footprint decreased from 3.69 ha per capita (ha/ca in 1970 to 3.05 ha/ca in 2010. However, due to population growth, the population’s footprint rose from 1.00 × 107 ha in 1970 to 1.14 × 107 ha in 2010, indicating Puerto Rico as a whole was moving away from sustainability. Our findings demonstrate the promise for conducting EFA using a simplified approach with freely available data, and we discuss potential limitations on data quality and availability that should be addressed to further improve the science.

  7. Exploratory Bi-factor Analysis: The Oblique Case

    OpenAIRE

    Jennrich, Robert L.; Bentler, Peter M.

    2011-01-01

    Bi-factor analysis is a form of confirmatory factor analysis originally introduced by Holzinger and Swineford (1937). The bi-factor model has a general factor, a number of group factors, and an explicit bi-factor structure. Jennrich and Bentler (2011) introduced an exploratory form of bi-factor analysis that does not require one to provide an explicit bi-factor structure a priori. They use exploratory factor analysis and a bi-factor rotation criterion designed to produce a rotated loading mat...

  8. A Spatial, Social and Environmental Study of Tuberculosis in China Using Statistical and GIS Technology

    Directory of Open Access Journals (Sweden)

    Wenyi Sun

    2015-01-01

    Full Text Available Tuberculosis (TB remains a major public health problem in China, and its incidence shows certain regional disparities. Systematic investigations of the social and environmental factors influencing TB are necessary for the prevention and control of the disease. Data on cases were obtained from the Chinese Center for Disease and Prevention. Social and environmental variables were tabulated to investigate the latent factor structure of the data using exploratory factor analysis (EFA. Partial least square path modeling (PLS-PM was used to analyze the complex causal relationship and hysteresis effects between the factors and TB prevalence. A geographically weighted regression (GWR model was used to explore the local association between factors and TB prevalence. EFA and PLS-PM indicated significant associations between TB prevalence and its latent factors. Altitude, longitude, climate, and education burden played an important role; primary industry employment, population density, air quality, and economic level had hysteresis with different lag time; health service and unemployment played a limited role but had limited hysteresis. Additionally, the GWR model showed that each latent factor had different effects on TB prevalence in different areas. It is necessary to formulate regional measures and strategies for TB control and prevention in China according to the local regional effects of specific factors.

  9. Active Listening Attitude Scale (ALAS: Reliability and Validity in a Nationwide Sample of Greek Educators

    Directory of Open Access Journals (Sweden)

    Ntina Kourmousi

    2017-03-01

    Full Text Available The present study examined the Active Listening Attitude Scale (ALAS validity and reliability in a sample of 3955 Greek educators. The sample was randomly split and an exploratory factor analysis (EFA was conducted in the even subsample to evaluate the scale’s construct validity. A confirmatory factor analysis (CFA was performed in the odd subsample to confirm the three-factor model identified by the EFA. The chi square test (χ2 of the model was significant (p < 0.05, due to the large sample size. The root mean square error of approximation (RMSEA, the comparative fit index (CFI and the goodness of fit index (GFI values were 0.079, 0.969 and 0.960, respectively, further supporting the fit of the three-factor model. Cronbach’s alpha coefficient was used to test internal consistency reliability and was satisfactory exceeding 0.72 for ALAS subscales. The intercorrelations of the three subscales were all positive and significant (p < 0.001, ranging from 0.20 to 0.42. Student’s t-tests and the computation of effect sizes revealed that women scored higher on Listening Skill and Conversation Opportunity, while principals and participants trained on mental health promotion scored higher on all three subscales. The analyses confirmed the three-factor model of ALAS and demonstrated its validity and reliability in measuring Greek teachers’ active listening attitudes.

  10. Dietary effects on fatty acid metabolism of common carp.

    Science.gov (United States)

    Csengeri, I

    1996-01-01

    The paper summarises experimental data demonstrating effects of various dietary factors exerting changes in the fatty acid composition and fatty acid metabolism of the common carp (Cyprinus carpio L.). Among the dietary factors (1) supplementary feeding in fish ponds, (2) absence of essential fatty acids (EFA) in the diet, (3) starvation, and (4) ration level were studied. It was concluded that supplementary feeding in carp rearing ponds is frequently excessive in the Hungarian carp culture practice, inducing slight EFA-deficiency and enhancing de novo fatty acid synthesis. This latter caused enlarged fat depots with high oleic acid contents in the fish organs and tissues. EFA-deficient diets enhanced the synthesis of oleic acid except when high rate of de novo fatty acid synthesis was suppressed by dietary fatty acids. Feeding EFA-deficient diets caused gradual decrease in the levels of polyunsaturated fatty acids and gradual increase in that of Mead's acid: 20:3(n-9), an indicator of the EFA-deficiency. At prolonged starvation, polyunsaturated fatty acids of the structural lipids were somehow protected and mainly oleic acid was utilised for energy production. At high ration levels, excessive exogenous polyunsaturates were decomposed, and probably converted to oleic acid or energy. Starvation subsequent to the feeding the fish at various ration levels, reflected adaptive changes in the fatty acid metabolism: Below and above the ration level required for the most efficient feed utilisation for growth, decomposition processes of the fatty acid metabolism were accelerated.

  11. Advancing Measurement of Patient Safety Culture

    Science.gov (United States)

    Ginsburg, Liane; Gilin, Debra; Tregunno, Deborah; Norton, Peter G; Flemons, Ward; Fleming, Mark

    2009-01-01

    Objective To examine the psychometric and unit of analysis/strength of culture issues in patient safety culture (PSC) measurement. Data Source Two cross-sectional surveys of health care staff in 10 Canadian health care organizations totaling 11,586 respondents. Study Design A cross-validation study of a measure of PSC using survey data gathered using the Modified Stanford PSC survey (MSI-2005 and MSI-2006); a within-group agreement analysis of MSI-2006 data. Extraction Methods Exploratory factor analyses (EFA) of the MSI-05 survey data and confirmatory factor analysis (CFA) of the MSI-06 survey data; Rwg coefficients of homogeneity were calculated for 37 units and six organizations in the MSI-06 data set to examine within-group agreement. Principal Findings The CFA did not yield acceptable levels of fit. EFA and reliability analysis of MSI-06 data suggest two reliable dimensions of PSC: Organization leadership for safety (α=0.88) and Unit leadership for safety (α=0.81). Within-group agreement analysis shows stronger within-unit agreement than within-organization agreement on assessed PSC dimensions. Conclusions The field of PSC measurement has not been able to meet strict requirements for sound measurement using conventional approaches of CFA. Additional work is needed to identify and soundly measure key dimensions of PSC. The field would also benefit from further attention to strength of culture/unit of analysis issues. PMID:18823446

  12. A factor analysis to detect factors influencing building national brand

    Directory of Open Access Journals (Sweden)

    Naser Azad

    Full Text Available Developing a national brand is one of the most important issues for development of a brand. In this study, we present factor analysis to detect the most important factors in building a national brand. The proposed study uses factor analysis to extract the most influencing factors and the sample size has been chosen from two major auto makers in Iran called Iran Khodro and Saipa. The questionnaire was designed in Likert scale and distributed among 235 experts. Cronbach alpha is calculated as 84%, which is well above the minimum desirable limit of 0.70. The implementation of factor analysis provides six factors including “cultural image of customers”, “exciting characteristics”, “competitive pricing strategies”, “perception image” and “previous perceptions”.

  13. The relationship between tics, OC, ADHD and autism symptoms: A cross- disorder symptom analysis in Gilles de la Tourette syndrome patients and family-members.

    Science.gov (United States)

    Huisman-van Dijk, Hilde M; Schoot, Rens van de; Rijkeboer, Marleen M; Mathews, Carol A; Cath, Daniëlle C

    2016-03-30

    Gilles de la Tourette's syndrome (GTS) is a disorder in which obsessive-compulsive (OC), Attention Deficit Hyperactivity Disorder (ADHD) and autism symptoms occur in up to 60% of patients, suggesting shared etiology. We explored the phenotypic structure of tic, OC, ADHD, and autism symptoms as measured by the YGTSS,Y-BOCS,CAARS and AQ, in 225 GTS patients and 371 family members. First, Confirmatory Factor Analyses (CFA) were performed on the symptom structure of each separate symptom scale. Second, the symptom dimensions derived from each scale were combined in one model, and correlations between them were calculated. Using the correlation matrix, Exploratory Factor Analyses (EFA) were performed on the symptom dimensions across the scales. EFA revealed a five factor structure: tic/aggression/symmetry; OC symptoms/compulsive tics/ numbers and patterns; ADHD symptoms; autism symptoms; and hoarding/inattention symptoms. The results are partly in line with the traditional categorical boundaries of the symptom scales used, and partly reveal a symptom structure that cuts through the diagnostic categories. This phenotypic structure might more closely reflect underlying etiologies than a structure that classically describes GTS patients according to absence or presence of comorbid OCD, ADHD and autism, and might inform both future genetic and treatment studies. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

  14. Validation of the surgical fear questionnaire in adult patients waiting for elective surgery.

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    Maurice Theunissen

    Full Text Available Because existing instruments for assessing surgical fear seem either too general or too limited, the Surgical Fear Questionnaire (SFQ was developed. The aim of this study is to assess the validity and reliability of the SFQ.Based on existing literature and expert consultation the ten-item SFQ was composed. Data on the SFQ were obtained from 5 prospective studies (N = 3233 in inpatient or day surgery patients. These data were used for exploratory factor analysis (EFA, confirmatory factor analysis (CFA, reliability analysis and validity analysis.EFA in Study 1 and 2 revealed a two-factor structure with one factor associated with fear of the short-term consequences of surgery (SFQ-s, item 1-4 and the other factor with fear of the long-term consequences of surgery (SFQ-l, item 5-10. However, in both studies two items of the SFQ-l had low factor loadings. Therefore in Study 3 and 4 the 2-factor structure was tested and confirmed by CFA in an eight-item version of the SFQ. Across all studies significant correlations of the SFQ with pain catastrophizing, state anxiety, and preoperative pain intensity indicated good convergent validity. Internal consistency (Cronbach's alpha was between 0.765-0.920 (SFQ-total, 0.766-0.877 (SFQ-s, and 0.628-0.899 (SFQ-l. The SFQ proved to be sensitive to detect differences based on age, sex, education level, employment status and preoperative pain intensity.The SFQ is a valid and reliable eight-item index of surgical fear consisting of two subscales: fear of the short-term consequences of surgery and fear of the long-term consequences.

  15. Emotional rigidity negatively impacts remission from anxiety and recovery of well-being.

    Science.gov (United States)

    Wiltgen, Anika; Shepard, Christopher; Smith, Ryan; Fowler, J Christopher

    2018-08-15

    Emotional rigidity is described in clinical literature as a significant barrier to recovery; however, few there are few empirical measures of the construct. The current study had two aims: Study 1 aimed to identify latent factors that may bear on the construct of emotional rigidity while Study 2 assessed the potential impact of the latent factor(s) on anxiety remission rates and well-being. This study utilized data from 2472 adult inpatients (1176 females and 1296 males) with severe psychopathology. Study 1 utilized exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) to identify latent factors of emotional rigidity. Study 2 utilized hierarchical logistic regression analyses to assess the relationships among emotional rigidity factors and anxiety remission and well-being recovery at discharge. Study 1 yielded a two-factor solution identified in EFA was confirmed with CFA. Factor 1 consisted of neuroticism, experiential avoidance, non-acceptance of emotions, impaired goal-directed behavior, impulse control difficulties and limited access to emotion regulation strategies when experiencing negative emotions. Factor 2 consisted of lack of emotional awareness and lack of emotional clarity when experiencing negative emotions. Results of Study 2 indicated higher scores on Factor 1 was associated with lower remission rates from anxiety and poorer well-being upon discharge. Factor 2 was not predictive of outcome. Emotional rigidity appears to be a latent construct that negatively impacts remission rates from anxiety. Limitations of the present study include its retrospective design, and inefficient methods of assessing emotional rigidity. Copyright © 2018. Published by Elsevier B.V.

  16. Psychometric properties of the positivity scale - Brazilian version

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    Juliane Callegaro Borsa

    2015-03-01

    Full Text Available This study presents the psychometric properties of the Brazilian version of the Positivity Scale (P-Scale. Participants were 730 subjects (65% women, aged from 17 to 70 years old (M = 31.0 years; SD = 11.43, from 21 Brazilian states. The sample was randomly split in two halves to cross-validate the results. With the first half of the sample (n1 = 365, an exploratory factor analysis (EFA was conducted. With the second half of the sample (n2 = 365, a confirmatory factor analysis (CFA assessed the fit of the exploratory model. Convergent validity and group differences were also evaluated. The EFA and CFA presented a one-dimensional structure for the P-Scale. Moderate correlations were found between the P-Scale and mental-health, subjective happiness and life-satisfaction. The levels of positivity presented a low positive correlation with age, educational level and financial income. Slightly significant effects were found for occupational status and marital status. Positivity appears to be more closely related to personal dispositions than to sociodemographic aspects. Our results suggest that the P-Scale is a reliable measure with which to evaluate the levels of positivity in Brazil.

  17. Psychometric evaluation of an inpatient consumer survey measuring satisfaction with psychiatric care.

    Science.gov (United States)

    Ortiz, Glorimar; Schacht, Lucille

    2012-01-01

    Measurement of consumers' satisfaction in psychiatric settings is important because it has been correlated with improved clinical outcomes and administrative measures of high-quality care. These consumer satisfaction measurements are actively used as performance measures required by the accreditation process and for quality improvement activities. Our objectives were (i) to re-evaluate, through exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), the structure of an instrument intended to measure consumers' satisfaction with care in psychiatric settings and (ii) to examine and publish the psychometric characteristics, validity and reliability, of the Inpatient Consumer Survey (ICS). To psychometrically test the structure of the ICS, 34 878 survey results, submitted by 90 psychiatric hospitals in 2008, were extracted from the Behavioral Healthcare Performance Measurement System (BHPMS). Basic descriptive item-response and correlation analyses were performed for total surveys. Two datasets were randomly created for analysis. A random sample of 8229 survey results was used for EFA. Another random sample of 8261 consumer survey results was used for CFA. This same sample was used to perform validity and reliability analyses. The item-response analysis showed that the mean range for a disagree/agree five-point scale was 3.10-3.94. Correlation analysis showed a strong relationship between items. Six domains (dignity, rights, environment, empowerment, participation, and outcome) with internal reliabilities between good to moderate (0.87-0.73) were shown to be related to overall care satisfaction. Overall reliability for the instrument was excellent (0.94). Results from CFA provided support for the domains structure of the ICS proposed through EFA. The overall findings from this study provide evidence that the ICS is a reliable measure of consumer satisfaction in psychiatric inpatient settings. The analysis has shown the ICS to provide valid and

  18. Factor analysis of multivariate data

    Digital Repository Service at National Institute of Oceanography (India)

    Fernandes, A.A.; Mahadevan, R.

    A brief introduction to factor analysis is presented. A FORTRAN program, which can perform the Q-mode and R-mode factor analysis and the singular value decomposition of a given data matrix is presented in Appendix B. This computer program, uses...

  19. Development and Validation of the Motivations for Selection of Medical Study (MSMS Questionnaire in India.

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    Sonu Goel

    Full Text Available Understanding medical students' motivation to select medical studies is particularly salient to inform practice and policymaking in countries-such as India-where shortage of medical personnel poses crucial and chronical challenges to healthcare systems. This study aims to develop and validate a questionnaire to assess the motivation of medical students to select medical studies.A Motivation for Selection of Medical Study (MSMS questionnaire was developed using extensive literature review followed by Delphi technique. The scale consisted of 12 items, 5 measuring intrinsic dimensions of motivations and 7 measuring extrinsic dimensions. Exploratory factor analysis (EFA, confirmatory factor analysis (CFA, validity, reliability and data quality checks were conducted on a sample of 636 medical students from six medical colleges of three North Indian states.The MSMS questionnaire consisted of 3 factors (subscales and 8 items. The three principal factors that emerged after EFA were the scientific factor (e.g. research opportunities and the ability to use new cutting edge technologies, the societal factor (e.g. job security and the humanitarian factor (e.g. desire to help others. The CFA conducted showed goodness-of-fit indices supporting the 3-factor model.The three extracted factors cut across the traditional dichotomy between intrinsic and extrinsic motivation and uncover a novel three-faceted motivation construct based on scientific factors, societal expectations and humanitarian needs. This validated instrument can be used to evaluate the motivational factors of medical students to choose medical study in India and similar settings and constitutes a powerful tool for policymakers to design measures able to increase selection of medical curricula.

  20. Factor analysis and scintigraphy

    International Nuclear Information System (INIS)

    Di Paola, R.; Penel, C.; Bazin, J.P.; Berche, C.

    1976-01-01

    The goal of factor analysis is usually to achieve reduction of a large set of data, extracting essential features without previous hypothesis. Due to the development of computerized systems, the use of largest sampling, the possibility of sequential data acquisition and the increase of dynamic studies, the problem of data compression can be encountered now in routine. Thus, results obtained for compression of scintigraphic images were first presented. Then possibilities given by factor analysis for scan processing were discussed. At last, use of this analysis for multidimensional studies and specially dynamic studies were considered for compression and processing [fr

  1. Psychometric validation of the French version of the Connor-Davidson Resilience Scale.

    Science.gov (United States)

    Guihard, G; Deumier, L; Alliot-Licht, B; Bouton-Kelly, L; Michaut, C; Quilliot, F

    2018-02-01

    Resilience defines the ability to face adversity with positive outcomes. Different scales, including the 25-item Connor-Davidson Resilience Scale (CDRISC), have been elaborated in order to evaluate resilience among various populations. The evaluation of resilience in French populations was impossible until CDRISC was translated into French. In the present work, we aim to validate a French version of CDRISC (f-CDRISC). The survey was conducted at Nantes University. Both dental and medical students were eligible. The factor structure of f-CDRISC was determined and its replicability was tested on two sub-samples by exploratory factor analysis (EFA) and parallel analysis (PA). A third student sample was used for confirmatory factorial analysis (CFA). We collected 1210 responses. Four items did not reach acceptance thresholds for reliability and were discarded from the f-CDRISC. EFA and PA of the remaining 21 items highlighted a replicable 3-factor structure that was further confirmed by CFA. Resilience factors included "tolerance to negative affects", "tenacity" and "self-confidence". All factors displayed acceptable to good internal consistency. They were characterized by positive medium to strong correlations with the overall f-CDRISC Scale. Significant positive correlations were also observed between the resilience factors. The present work constitutes the first study devoted to a French adaptation of the CDRISC questionnaire. We present evidence showing that the f-CDRISC is a reliable tool for resilience evaluation in French speaking populations. Copyright © 2017 L'Encéphale, Paris. Published by Elsevier Masson SAS. All rights reserved.

  2. Validity and reliability of the Utrecht Work Engagement Scale-Student Version in Sri Lanka.

    Science.gov (United States)

    Wickramasinghe, Nuwan Darshana; Dissanayake, Devani Sakunthala; Abeywardena, Gihan Sajiwa

    2018-05-04

    The present study was aimed at assessing the validity and the reliability of the Sinhala version of the Utrecht Work Engagement Scale-Student Version (UWES-S) among collegiate cycle students in Sri Lanka. The 17-item UWES-S was translated to Sinhala and the judgmental validity was assessed by a multi-disciplinary panel of experts. Construct validity of the UWES-S was appraised by using multi-trait scaling analysis and exploratory factor analysis (EFA) on data obtained from a sample of 194 grade thirteen students in the Kurunegala district, Sri Lanka. Reliability of the UWES-S was assessed by using internal consistency and test-retest reliability. Except for item 13, all other items showed good psychometric properties in judgemental validity, item-convergent validity and item-discriminant validity. EFA using principal component analysis with Oblimin rotation, suggested a three-factor solution (including vigor, dedication and absorption subscales) explaining 65.4% of the total variance for the 16-item UWES-S (with item 13 deleted). All three subscales show high internal consistency with Cronbach's α coefficient values of 0.867, 0.819, and 0.903 and test-retest reliability was high (p valid and a reliable instrument to assess work engagement among collegiate cycle students in Sri Lanka.

  3. The relationship between tics, OC, ADHD and autism symptoms: A cross-disorder symptom analysis in Gilles de la Tourette syndrome patients and their family members

    Science.gov (United States)

    Huisman-van Dijk, Hilde M.; van de Schoot, Rens; Rijkeboer, Marleen M.; Mathews, Carol A; Cath, Dainelle C

    2016-01-01

    Gilles de la Tourette’s syndrome (GTS) is a disorder in which co-morbid obsessive-compulsive (OC), Attention Deficit Hyperactivity Disorder (ADHD) and autism symptoms occur in up to 60% of patients, suggesting shared etiology. We aimed to explore the phenotypic structure underlying GTS, taking tic, OC, ADHD, and autism symptoms into account as measured by various symptom scales (YGTSS, Y-BOCS, CAARS and AQ) in 225 GTS patients and 371 family members. First, Confirmatory Factor Analyses (CFA) were performed on the symptom structure of each separate symptom scale. Second, the symptom dimensions derived from each scale were combined in one model, and correlations between them were calculated. Using the correlation matrix, Exploratory Factor Analyses (EFA) were performed on the symptom dimensions across the scales. EFA revealed a five factor structure: tic/aggression/symmetry; OC symptoms/compulsive tics/numbers and patterns; ADHD symptoms; autism symptoms; and hoarding/inattention symptoms. The symptom factors found in this study are partly in line with the traditional categorical boundaries of the symptom scales used, and partly reveal a symptom structure that cuts through the diagnostic categories. This phenotypic structure might more closely reflect underlying etiologies than a structure that classically describes GTS patients according to absence or presence of comorbid OCD, ADHD and autism, and might inform both future genetic and treatment studies. PMID:26826899

  4. Disruptive behavior scale for adolescents (DISBA): development and psychometric properties.

    Science.gov (United States)

    Karimy, Mahmood; Fakhri, Ahmad; Vali, Esmaeel; Vali, Farzaneh; Veiga, Feliciano H; Stein, L A R; Araban, Marzieh

    2018-01-01

    Growing evidence indicates that if disruptive behavior is left unidentified and untreated, a significant proportion of these problems will persist and may develop into problems linked with delinquency, substance abuse, and violence. Research is needed to develop valid and reliable measures of disruptive behavior to assist recognition and impact of treatments on disruptive behavior. The aim of this study was to develop and evaluate the psychometric properties of a scale for disruptive behavior in adolescents. Six hundred high school students (50% girls), ages ranged 15-18 years old, selected through multi stage random sampling. Psychometrics of the disruptive behavior scale for adolescents (DISBA) (Persian version) was assessed through content validity, explanatory factor analysis (EFA) using Varimax rotation and confirmatory factor analysis (CFA). The reliability of this scale was assessed via internal consistency and test-retest reliability. EFA revealed four factors accounting for 59% of observed variance. The final 29-item scale contained four factors: (1) aggressive school behavior, (2) classroom defiant behavior, (3) unimportance of school, and (4) defiance to school authorities. Furthermore, CFA produced a sufficient Goodness of Fit Index > 0.90. Test-retest and internal consistency reliabilities were acceptable at 0.85 and 0.89, respectively. The findings from this study suggest that the Iranian version of DISBA questionnaire has content validity. Further studies are needed to evaluate stronger psychometric properties for DISBA.

  5. Reliability and Validity of the Turkish Version of Patient and Observer Scar Assessment Scale in Patients with Burns

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    Ayşe Kabuk

    2017-12-01

    Full Text Available Objective: To evaluation reliability and validity of the Turkish version of Patient and Observer Scar Assessment Scale (POSAS in patients with burns. Methods: This is a methodologically study. Data were collected using POSAS, survey form and plexiglas. Patient Scar Assessment Scale (PSAS was completed by patients (n=53 and Observer Scar Assessment Scale (OSAS was completed by two observers separately. The test-retest was measured applying the scales in 25 patients after two weeks. Data were analyzed by Kruskal-Wallis and Mann-Whitney U test. Content validity was determined using Kaiser-Meyer-Olkin, Barlett’s test and structure validity was performed by explanatory factor analysis (EFA and confirmatory factor analysis (CFA; reliability was evaluated using internal consistency, Cronbach’s alpha and intraclass correlation coefficient (ICC. Results: Factor weights were in appropriate range according to EFA, 6 items single factor structure of the original scale was valid and had high consistency index according to CFA, ICC between the 7th item and the total points was proportional, inner consistency was highly reliable (PSAS a=0.992, OSAS a=0.993, consistency between the observers was high (a=0.952, r=0.909. It was determined OSAS scores increased as the burn degree increased (p<0.05. Conclusion: POSAS was determined to be a valid and reliable scale in patients with burns in the Turkish society.

  6. Cultural Responsive Teaching Readiness Scale Validity and Reliability Study

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    Kasım KARATAŞ

    2017-12-01

    Full Text Available The aim of this research is to develop a measurement instrument that will determine the cultural responsive teaching readiness level of teacher candidates. The study group consisted of a total of 231 candidate teachers, of which 83 were males and 148 were females, who were attending their final year of class teacher education programs at various Turkish universities during the 2016-2017 education year. In the first phase, a 33-item draft form was presented to experts to be reviewed. Based on the feedback received, revisions were made and the final scale was applied to a group of 231 candidate teachers. In the analysis of the data obtained as the result of the application, Exploratory Factor Analysis (EFA was performed. The EFA produced 21 items within a two-factor structure as, “Personal Readiness” and “Professional Readiness.” It was observed that the sub-factors were components of the “cultural responsive teaching readiness” dimension, and that the goodness of fit measures obtained as a result of the First and Second Level Confirmatory Factor Analyzes (CFA were high. In addition, reliability coefficients were found to be high as a result of reliability measurements. With the help of these findings, this study concludes that the Cultural Responsive Teaching Readiness scale is both valid and reliable.

  7. The psychometric properties of the Persian version of the metacognitions about Smoking Questionnaire among smokers.

    Science.gov (United States)

    Najafi, Mahmoud; Khosravani, Vahid; Shahhosseini, Meysam; Afshari, Amirhossein

    2018-09-01

    It has been shown that smoking may be affected by metacognitions. This study aimed to evaluate the factor structure, reliability and validity of the Persian version of the Metacognitions about Smoking Questionnaire (MSQ) among a sample of Iranian male smokers. When the English to Persian translation of the MSQ was performed, exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were completed according to the four-factor solution of the original MSQ. Three hundred male treatment-seeking smokers (mean age = 41.37, SD = 15.90) filled out the Persian-translated version of the MSQ, the Smoking Effects Questionnaire (SEQ), and the Nicotine Dependence Syndrome Scale (NDSS). The results of EFA revealed that the Persian version of the MSQ had a four-factor structure named positive metacognitions about cognitive regulation (PM-CR), positive metacognitions about emotional regulation (PM-ER), negative metacognitions about uncontrollability (NM-U), and negative metacognitions about cognitive interference (NM-CI). The findings of CFA also indicated that the four-factor structure of the Persian version of the MSQ had appropriate fit. Validity and reliability of the Persian version of the MSQ were found to be good. Negative metacognitions about smoking predicted nicotine dependence over and above smoking outcome expectancies. Positive metacognitions about emotion regulation explained daily cigarette use independent of smoking outcome expectancies. The findings suggested that the Persian version of the MSQ had adequate psychometric properties among Iranian male treatment-seeking smokers. Copyright © 2018 Elsevier Ltd. All rights reserved.

  8. Validation of a measurement tool for self-assessment of teamwork in intensive care.

    Science.gov (United States)

    Weller, J; Shulruf, B; Torrie, J; Frengley, R; Boyd, M; Paul, A; Yee, B; Dzendrowskyj, P

    2013-09-01

    Teamwork is an important contributor to patient safety and a validated teamwork measurement tool could help healthcare teams identify areas for improvement and measure progress. We explored the psychometric properties of a teamwork measurement tool when used for self-assessment. We hypothesized that the tool had a valid factor structure and that scores from participants and external assessors would correlate. Forty intensive care teams (one doctor, three nurses) participated in four simulated emergencies, and each independently rated their team's performance at the end of each case using the teamwork measurement tool, without prior training in the use of the tool. We used exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), and compared factor structure between participants and external assessors (using previously reported data). Scores from participants and external assessors were compared using Pearson's correlation coefficient. EFA demonstrated items loaded onto three distinct factors which were supported by the CFA. We found significant correlations between external and participant scores for overall teamwork scores and the three factors. Participants agreed with external assessors on the ranking of overall team performance but scored themselves significantly higher than external assessors. The teamwork measurement tool has a valid structure when used for self-assessment. Participant and external assessor scores correlated significantly, suggesting that participants could discriminate between different levels of performance, although leniency in self-assessed scores indicated the need for calibration. This tool could help structure reflection on teamwork and potentially facilitate self-directed, workplace-based improvement in teamwork.

  9. Psychometric Properties of the Physical Activity Questionnaire for Older Children in Italy: Testing the Validity among a General and Clinical Pediatric Population.

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    Erica Gobbi

    Full Text Available The purpose of this research was to assess an Italian version of the Physical Activity Questionnaire for Older Children (PAQ-C-It. Three separate studies were conducted, whereby testing general psychometric properties, construct validity, concurrent validity and the factor structure of the PAQ-C-It among general and clinical pediatric population. Study 1 (n = 1170 examined the psychometric properties, internal consistency, factor structure (exploratory factor analysis, EFA and construct validity with enjoyment perception during physical activity. Study 2 (n = 59 reported on reliability, construct validity with enjoyment and BMI, and on cross-sectional concurrent validity with objectively measured MVPA (tri-axial accelerometry over the span of seven consecutive days. Study 3 (n = 58 examined the PAQ-C-It reliability, construct validity with BMI and VO2max as the objective measurement among a population of children with congenital heart defects (CHD. In study 2 and 3, the factor structure of the PAQ-C-It was then re-examined with an EFA. The PAQ-C-It showed acceptable to good reliability (alpha .70 to .83. Results on construct validity showed moderate but significant association with enjoyment perception (r = .30 and .36, with BMI (r = -.30 and -.79 for CHD simple form, and with the VO2max (r = .55 for CHD simple form. Significant concurrent validity with the objectively measured MVPA was reported (rho = .30, p < .05. Findings of the EFA suggested a two-factor structure for the PAQ-C-It, with items 2, 3, and 4 contributing little to the total score. This study supports the PAQ-C-It as an appropriate instrument to assess the MVPA levels of Italian children, including children with simple forms of CHD. Support is given to the possible instrument effectiveness on a large international perspective in order to level out data gathering across the globe.

  10. Education for All in India: A Second Look

    Science.gov (United States)

    Chauhan, C. P. S.

    2009-01-01

    In this paper, the author has attempted to analyze and assess the progress of education for all (EFA) in India from 1985/1986 to 2005/2006. A similar analysis by the same author on this subject, for the period 1950-1986, was published in this journal in 1990. During that period of 35 years the development of EFA was apparently impressive, but…

  11. Reliability and validity of 12-item Short-Form health survey (SF-12) for the health status of Chinese community elderly population in Xujiahui district of Shanghai.

    Science.gov (United States)

    Shou, Juan; Ren, Limin; Wang, Haitang; Yan, Fei; Cao, Xiaoyun; Wang, Hui; Wang, Zhiliang; Zhu, Shanzhu; Liu, Yao

    2016-04-01

    The 12-item Short-Form Health Survey (SF-12) is the abridged practical version of SF-36. This cross-sectional study was aimed to assess the reliability and validity of SF-12 for the health status of Chinese community elderly population. The Chinese community elderly people in Xujiahui district of Shanghai were investigated. The internal consistency reliability was assessed using Cronbach's alpha and split-half reliability coefficients. Construct validity was analyzed using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). Spearman's correlation coefficient (ρ) was used for the evaluation of criterion, convergent, and discriminant validity with Spearman's ρ ≥ 0.4 as satisfactory. Comparisons of the SF-12 summary scores among populations that differed in demographics were performed for discriminant validity. Total 1343 individuals aged ≥60 and reliability coefficient (0.812) reflected satisfactory internal consistency reliability of SF-12. EFA extracted a two-factor model (physical and mental health). About 60.7 % of the total variance was explained by the two factors. CFA showed that the two-factor solution provided a good fit to the data. Good convergent validity and discriminant validity of SF-12 were proved by the correction analyses (Spearman's ρ > 0.4) and the comparisons of the SF-12 summary scores among populations (P  0.4, P reliability and validity in measuring health status of Chinese community elderly population in Xujiahui district of Shanghai.

  12. The Experience in Personal Social Systems Questionnaire (EXIS.pers): Development and Psychometric Properties.

    Science.gov (United States)

    Hunger, Christina; Bornhäuser, Annette; Link, Leoni; Geigges, Julian; Voss, Andreas; Weinhold, Jan; Schweitzer, Jochen

    2017-03-01

    This study presents the theoretical background, development, and psychometric properties of the German and English versions of the Experience in Personal Social Systems Questionnaire (EXIS.pers). It assesses how the members of a personal social system experience their situation within that system. It is designed as a research tool for interventions in which only one member of the system participates (e.g., Family Constellation Seminars). The EXIS.pers was created to measure change on the individual level relating to one's own important personal social system. In Study 1, we used exploratory factor analysis (EFA) for latent variable identification of the original German EXIS.pers (n = 179). In Studies 2 and 3, we used confirmatory factor analysis (CFA) to examine the dimensionality of the German (n = 634) and English (n = 310) EXIS.pers. Internal consistencies and cross-cultural structural equivalence were assessed. EFA indicated that a four-factor model provided best fit for the German EXIS.pers. For both the German and English EXIS.pers, CFA provided the best fit for a five-factor bi-level model that included a general factor (Experience In Personal Social Systems) and four dimensions (Belonging, Autonomy, Accord, Confidence). Good internal consistencies, external associations, and cross-cultural structural equivalence were demonstrated. This study provides first evidence for the German and English EXIS.pers as an economical and reliable measure of an individual's experience within his or her personal social systems. © 2016 Family Process Institute.

  13. Dimensional structure of the oral health-related quality of life in healthy Spanish workers

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    López Joaquín F

    2010-02-01

    Full Text Available Abstract Background Oral health-related quality of life (OHQoL is conceived as a multidimensional construct. Here our aim was to investigate the dimensional structure of OHQoL as measured by the Spanish versions of the Oral Impacts on Daily Performance (OIDP and the Oral Health Impact Profile (OHIP-14 questionnaires applied simultaneously. Methods We recruited a consecutive sample of 270 healthy Spanish workers visiting the Employment Risk Prevention Centre for a routine medical check-up. OHIP-14 was self-completed by participants but the OIDP was completed in face-to-face interviews. An Exploratory Factor Analysis (EFA was performed to identify the underlying dimensions of the OHQoL construct assessed by both instruments. This factorial structure was later confirmed by Confirmatory Factor Analysis (CFA using several estimators of goodness of fit indices. Results EFA and the CFA identified and respectively confirmed a set of 3 underlying factors in both questionnaires that could be interpreted as functional limitation, pain-discomfort, and psychosocial impacts. The model achieved was seen to fit properly for both instruments, but the factorial structure was clearer for the OIDP. Conclusions The results provide evidence for construct equivalence in the latent factors assessed by both OIDP and OHIP-14, suggesting that OHQoL is a three-dimensional construct. The prevalence of impact on these three factors was coherent between both indicators, pain-discomfort having the highest prevalence, followed by psycho-social impact, and functional limitation.

  14. [Reliability and Validity of the Korean Version of the Perinatal Post-Traumatic Stress Disorder Questionnaire].

    Science.gov (United States)

    Park, Yu Kyung; Ju, Hyeon Ok; Na, Hunjoo

    2016-02-01

    The Perinatal Post-Traumatic Stress Disorder Questionnaire (PPQ) was designed to measure post-traumatic symptoms related to childbirth and symptoms during postnatal period. The purpose of this study was to develop a translated Korean version of the PPQ and to evaluate reliability and validity of the Korean PPQ. Participants were 196 mothers at one to 18 months after giving childbirth and data were collected through e-mails. The PPQ was translated into Korean using translation guideline from World Health Organization. For this study Cronbach's alpha and split-half reliability were used to evaluate the reliability of the PPQ. Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), and known-group validity were conducted to examine construct validity. Correlations of the PPQ with Impact of Event Scale (IES), Beck Depression Inventory II (BDI-II), and Beck Anxiety Inventory (BAI) were used to test a criterion validity of the PPQ. Cronbach's alpha and Spearman-Brown split-half correlation coefficient were 0.91 and 0.77, respectively. EFA identified a 3-factor solution including arousal, avoidance, and intrusion factors and CFA revealed the strongest support for the 3-factor model. The correlations of the PPQ with IES, BDI-II, and BAI were .99, .60, and .72, respectively, pointing to criterion validity of a high level. The Korean version PPQ is a useful tool for screening and assessing mothers' experiencing emotional distress related to child birth and during the postnatal period. The PPQ also reflects Post Traumatic Stress Disorder's diagnostic standards well.

  15. Occupational stress in the armed forces: An Indian army perspective

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    Sakshi Sharma

    2015-09-01

    Full Text Available This study attempts to explore factors influencing occupational stress faced by Indian army soldiers and evaluate applicability of the scale used for measuring occupational stressors. Structured interview schedules were used to collect first hand data from a sample of 415 soldiers. Exploratory Factor Analysis (EFA highlights lack of control at work, role conflict, inadequate awareness about profession, workload and job pressure, and indifferent organisational attitude as the major occupational stressors in the Indian army. In addition, Confirmatory Factor Analysis (CFA confirms occupational stressor as an eight factor model in the army. The study recommends implementing commitment-based management approach and techniques such as Sahaja Yoga meditation in the army.

  16. Exploratory Bi-Factor Analysis: The Oblique Case

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    Jennrich, Robert I.; Bentler, Peter M.

    2012-01-01

    Bi-factor analysis is a form of confirmatory factor analysis originally introduced by Holzinger and Swineford ("Psychometrika" 47:41-54, 1937). The bi-factor model has a general factor, a number of group factors, and an explicit bi-factor structure. Jennrich and Bentler ("Psychometrika" 76:537-549, 2011) introduced an exploratory form of bi-factor…

  17. Analisis Faktor Penyebab Kegagalan Kerjasama dalam Bisnis Waralaba: Studi pada Perusahaan Waralaba Makanan dan Minuman di Jabodetabek

    OpenAIRE

    Sanny, Lim

    2016-01-01

    Franchising is one of the easiest ways to start a business. The growth rate of the franchise in Indonesia is very high, especially food and beverage franchises. However, the failure rate is very high. The purpose of this research is to analyze the causes of failure in business franchise, from the franchisee perspective. The method used is factor analysis (EFA) with 7 hypotheses. This study was conducted by 131 respondents in which the unit of analysis is the food beverage franchisee in Jabode...

  18. The Iranian version of 12-item Short Form Health Survey (SF-12: factor structure, internal consistency and construct validity

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    Mousavi Sayed

    2009-09-01

    Full Text Available Abstract Background The 12-item Short Form Health Survey (SF-12 as a shorter alternative of the SF-36 is largely used in health outcomes surveys. The aim of this study was to validate the SF-12 in Iran. Methods A random sample of the general population aged 15 years and over living in Tehran, Iran completed the SF-12. Reliability was estimated using internal consistency and validity was assessed using known groups comparison and convergent validity. In addition, the factor structure of the questionnaire was extracted by performing both exploratory factor analysis (EFA and confirmatory factor analysis (CFA. Results: In all, 5587 individuals were studied (2721 male and 2866 female. The mean age and formal education of the respondents were 35.1 (SD = 15.4 and 10.2 (SD = 4.4 years respectively. The results showed satisfactory internal consistency for both summary measures, that are the Physical Component Summary (PCS and the Mental Component Summary (MCS; Cronbach's α for PCS-12 and MCS-12 was 0.73 and 0.72, respectively. Known-groups comparison showed that the SF-12 discriminated well between men and women and those who differed in age and educational status (P Conclusion In general the findings suggest that the SF-12 is a reliable and valid measure of health related quality of life among Iranian population. However, further studies are needed to establish stronger psychometric properties for this alternative form of the SF-36 Health Survey in Iran.

  19. Assessment of the psychometrics of a PROMIS item bank: self-efficacy for managing daily activities.

    Science.gov (United States)

    Hong, Ickpyo; Velozo, Craig A; Li, Chih-Ying; Romero, Sergio; Gruber-Baldini, Ann L; Shulman, Lisa M

    2016-09-01

    The aim of this study is to investigate the psychometrics of the Patient-Reported Outcomes Measurement Information System self-efficacy for managing daily activities item bank. The item pool was field tested on a sample of 1087 participants via internet (n = 250) and in-clinic (n = 837) surveys. All participants reported having at least one chronic health condition. The 35 item pool was investigated for dimensionality (confirmatory factor analyses, CFA and exploratory factor analysis, EFA), item-total correlations, local independence, precision, and differential item functioning (DIF) across gender, race, ethnicity, age groups, data collection modes, and neurological chronic conditions (McFadden Pseudo R (2) less than 10 %). The item pool met two of the four CFA fit criteria (CFI = 0.952 and SRMR = 0.07). EFA analysis found a dominant first factor (eigenvalue = 24.34) and the ratio of first to second eigenvalue was 12.4. The item pool demonstrated good item-total correlations (0.59-0.85) and acceptable internal consistency (Cronbach's alpha = 0.97). The item pool maintained its precision (reliability over 0.90) across a wide range of theta (3.70), and there was no significant DIF. The findings indicated the item pool has sound psychometric properties and the test items are eligible for development of computerized adaptive testing and short forms.

  20. An illness-specific version of the Revised Illness Perception Questionnaire in patients with atrial fibrillation (AF IPQ-R): Unpacking beliefs about treatment control, personal control and symptom triggers.

    Science.gov (United States)

    Taylor, Elaina C; O'Neill, Mark; Hughes, Lyndsay D; Moss-Morris, Rona

    2018-04-01

    This study modified the Revised Illness Perception Questionnaire (IPQ-R) in patients with persistent atrial fibrillation (AF). Qualitative interviews and think-aloud techniques informed modification of the IPQ-R to be specific to AF patients. Confirmatory Factor Analysis (CFA) (n = 198) examined the validity of the modified IPQ-R (AF-IPQ-R). Exploratory factor analysis (EFA) examined the new AF-triggers scale. Construct validity examined associations between the AF-IPQ-R, quality of life (QoL) and beliefs about medicines. Test-retest and internal reliability were examined. Interviews indicated that patients viewed triggers of AF rather than initial causes of illness as more applicable. Patients believed specific behaviours such as rest could control AF. Treatment control beliefs related to pharmacological and procedural treatments. These data were used to modify the IPQ-R subscales and to develop a triggers of AF scale. CFA indicated good model fit. EFA of the triggers scale indicated three factors: emotional; health behaviours; and over-exertion triggers. Expected correlations were found between the AF-IPQ-R, QoL and treatment beliefs, evidencing good construct validity. The AF-IPQ-R showed sound psychometric properties. It provides more detailed specification than the IPQ-R of beliefs that may help to understand poor QoL in AF patients, and guidance for future interventions in this area.

  1. Measuring the environmental awareness of young farmers

    Science.gov (United States)

    Kountios, G.; Ragkos, A.; Padadavid, G.; Hadjimitsis, D.

    2017-09-01

    Young farmers in Europe, especially the beneficiaries of Common Agricultural Policy (CAP) funding schemes, are considered as the ones who could ensure the sustainability of the European Model of Agriculture. Economic efficiency and competitiveness, aversion of depopulation of rural areas and environmental protection constitute some of the key objectives of the CAP and young farmers are expected to play a role to all of them. This study proposes a way of measuring the potential of young farmers to contribute to the latter objectives of the CAP by estimating their environmental attitudes. Data from a questionnaire survey of 492 Greek young farmers were used to design a latent construct measuring their environmental attitudes. The latent construct was designed by means of an Explanatory Factor Analysis (EFA) using the responses to a set of 12 Likert-scale items. The results the EFA yielded a latent construct with three factors related to "Environmental pollution and policies (EPP)", "Environmental factors and food quality (EFF)" and "Farming practices and the environment". These results were validated through a CFA where 8 items in total were categorized in the three factors (latent variables). The utilization of the latent construct for the effective implementation of CAP measures could ameliorate the relationships of agriculture and environment in general.

  2. Questionnaire development and validity to measure sexual intention among youth in Malaysia

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    Noor Azimah Muhammad

    2017-02-01

    Full Text Available Abstract Background From the Theory of Planned Behaviour perspective, sexual intention is determined by a permissive attitude, perception of social norms and perceived self-efficacy in performing sexual activity. The aim of this study was to develop and validate the Youth Sexual Intention Questionnaire (YSI-Q, which was designed to measure sexual intention among youths in Malaysia. Methods A total of 25 items were developed based on literature reviews encompassing four main constructs: sexual intention, attitude, social norms and self-efficacy. The YSI-Q then underwent a validation process that included content and face validity, exploratory factor analysis (EFA, reliability analysis, and confirmatory factor analysis (CFA. This study was conducted on unmarried youths aged 18 to 22 years who were studying in colleges around Klang Valley, Malaysia. Results EFA supported the four factor structure, but five items were removed due to incorrect placement or low factor loading (<0.60. Internal reliability using Cronbach’s alpha ranged between 0.89 and 0.94. The CFA further confirmed the construct, convergent and discriminant validity of the YSI-Q with χ 2 = 392.43, df = 164, p < 0.001, χ 2/df = 2.40, CFI = 0.93 and TLI = 0.92 and RMSEA = 0.08. Conclusion The final set of YSI-Q consisted of 20 items measuring sexual intention (five items, attitude (five items, social norms (six items and self-efficacy (four items of practicing sexual activity. YSI-Q was shown to be a reliable and valid tool to be used among Malaysian youths.

  3. Drivers for precision livestock technology adoption: A study of factors associated with adoption of electronic identification technology by commercial sheep farmers in England and Wales

    Science.gov (United States)

    Hopkins, Thomas; Gurney, Emma; Shortall, Orla; Lovatt, Fiona; Davies, Peers; Williamson, George; Kaler, Jasmeet

    2018-01-01

    The UK is the largest lamb meat producer in Europe. However, the low profitability of sheep farming sector suggests production efficiency could be improved. Although the use of technologies such as Electronic Identification (EID) tools could allow a better use of flock resources, anecdotal evidence suggests they are not widely used. The aim of this study was to assess uptake of EID technology, and explore drivers and barriers of adoption of related tools among English and Welsh farmers. Farm beliefs and management practices associated with adoption of this technology were investigated. A total of 2000 questionnaires were sent, with a response rate of 22%. Among the respondents, 87 had adopted EID tools for recording flock information, 97 intended to adopt it in the future, and 222 neither had adopted it, neither intended to adopt it. Exploratory factor analysis (EFA) and multivariable logistic regression modelling were used to identify farmer beliefs and management practices significantly associated with adoption of EID technology. EFA identified three factors expressing farmer’s beliefs–external pressure and negative feelings, usefulness and practicality. Our results suggest farmer’s beliefs play a significant role in technology uptake. Non-adopters were more likely than adopters to believe that ‘government pressurise farmers to adopt technology’. In contrast, adopters were significantly more likely than non-adopters to see EID as practical and useful (p≤0.05). Farmers with higher information technologies literacy and intending to intensify production in the future were significantly more likely to adopt EID technology (p≤0.05). Importantly, flocks managed with EID tools had significantly lower farmer- reported flock lameness levels (p≤0.05). These findings bring insights on the dynamics of adoption of EID tools. Communicating evidence of the positive effects EID tools on flock performance and strengthening farmer’s capability in use of

  4. Developing an African youth psychosocial assessment: an application of item response theory.

    Science.gov (United States)

    Betancourt, Theresa S; Yang, Frances; Bolton, Paul; Normand, Sharon-Lise

    2014-06-01

    This study aimed to refine a dimensional scale for measuring psychosocial adjustment in African youth using item response theory (IRT). A 60-item scale derived from qualitative data was administered to 667 war-affected adolescents (55% female). Exploratory factor analysis (EFA) determined the dimensionality of items based on goodness-of-fit indices. Items with loadings less than 0.4 were dropped. Confirmatory factor analysis (CFA) was used to confirm the scale's dimensionality found under the EFA. Item discrimination and difficulty were estimated using a graded response model for each subscale using weighted least squares means and variances. Predictive validity was examined through correlations between IRT scores (θ) for each subscale and ratings of functional impairment. All models were assessed using goodness-of-fit and comparative fit indices. Fisher's Information curves examined item precision at different underlying ranges of each trait. Original scale items were optimized and reconfigured into an empirically-robust 41-item scale, the African Youth Psychosocial Assessment (AYPA). Refined subscales assess internalizing and externalizing problems, prosocial attitudes/behaviors and somatic complaints without medical cause. The AYPA is a refined dimensional assessment of emotional and behavioral problems in African youth with good psychometric properties. Validation studies in other cultures are recommended. Copyright © 2014 John Wiley & Sons, Ltd.

  5. An Empirical Investigation on Mobile Banking Service Adoption in Rural Karnataka

    Directory of Open Access Journals (Sweden)

    S. V. Krishna Kishore

    2016-03-01

    Full Text Available Government of India (GOI initialized financial inclusion campaign to quell exclusion. The campaign did not gain expected progress. Government employed technologies to speed up the process. Among banking technologies, mobile banking appeared as a possible solution for financial exclusion with wide mobile phone coverage. Inputs on rural people’s intention toward technologies for effective financial inclusion were essential. Technology adoption factors, performance expectancy, effort expectancy, social influence, attitude, perceived risk, and behavioral intention (BI, were short listed after literature review. Factors were subjected to reliability, exploratory factor analysis (EFA, multiple regression, and interaction analysis. Rural provinces in Karnataka state were surveyed. We used mixed sampling technique to reach 959 samples. Multiple regression–interaction analysis revealed age and gender moderated attitude’s path toward BI.

  6. Brazilian Validation of the Brief Scale for Spiritual/Religious Coping—SRCOPE-14

    Directory of Open Access Journals (Sweden)

    Mary Rute G. Esperandio

    2018-01-01

    Full Text Available The concept of spiritual-religious coping gained attention in Brazil with the adaptation and validation of the RCOPE Scale (Panzini 2004; long version: 87 items and brief version: 49 items. The Brief RCOPE still contains a large number of items, so attempts to further reduce the size of the measure are relevant. This study presents the validation process of the Brief SRCOPE scale (14 items for use in the Brazilian context. Data were collected from the general population (N = 525 and subjected to exploratory factor analysis (EFA; n = 249 and confirmatory factor analysis (CFA; n = 276. The EFA resulted in a two-factor solution: Positive Religious Coping (PRC and Negative Religious Coping (NRC. All 14 items of the original scale were retained and correlated with the same factor as the original scale (KMO = 0.852; 58.15% of total variance explained; PRC Cronbach’s alpha = 0.884 and NRC Cronbach’s alpha = 0.845. The model tested through CFA showed adequate adjustment indices (χ2 = 146.809, DF = 70, χ2/DF = 2.097, NFI = 0.93, CFI = 0.962, GFI = 0.930, AGFI = 0.895, RMSEA = 0.063, PCLOSE = 0.065 and SRMR = 0.0735. The Brief SRCOPE Scale-14 has shown reliability for the studied sample and might be applicable to other contexts. It may ultimately prove useful to professionals and researchers interested in better knowing how people make use of religious coping to face stress and suffering.

  7. Elliptic Fourier analysis of crown shapes in Quercus petraea trees

    Directory of Open Access Journals (Sweden)

    Ovidiu Hâruţa

    2011-02-01

    Full Text Available Shape is a fundamental morphological descriptor, significant in taxonomic research as well as in ecomorphology, one method of estimation being from digitally processed images. In the present study, were analysed shapes of Q. petraea crowns, pertaining to five different stem diameter classes, from three similar stands. Based on measurements on terrestrial digital vertical photos, crown size analysis was performed and correlations between crown and stem variables were tested. Linear regression equations between crown volumes and dbh, and crown volumes and stem volumes were derived, explaining more than half of data variability. Employment of elliptic Fourier analysis (EFA, a powerful analysis tool, permitted the extraction of the mean shape from crowns, characterized by high morphological variability. The extracted, most important, coefficients were used to reconstruct the average shape of the crowns, using Inverse Fourier Transform. A mean shape of the crown, corresponding to stand conditions in which competition is added as influential shaping factor, aside genetic program of the species, is described for each stem diameter class. Crown regions with highest shape variability, from the perspective of stage developmentof the trees, were determined. Accordingly, the main crown shape characteristics are: crown elongation, mass center, asymmetry with regard to the main axis, lateral regions symmetrical and asymmetrical variations.

  8. Elliptic Fourier analysis of crown shapes in Quercus petraea trees

    Directory of Open Access Journals (Sweden)

    Ovidiu Hâruţa

    2011-06-01

    Full Text Available Shape is a fundamental morphological descriptor, significant in taxonomic research as well as in ecomorphology, one method of estimation being from digitally processed images. In the present study, were analysed shapes of Q. petraea crowns, pertaining to five different stem diameter classes, from three similar stands. Based on measurements on terrestrial digital vertical photos, crown size analysis was performed and correlations between crown and stem variables were tested. Linear regression equations between crown volumes and dbh, and crown volumes and stem volumes were derived, explaining more than half of data variability. Employment of elliptic Fourier analysis (EFA, a powerful analysis tool, permitted the extraction of the mean shape from crowns, characterized by high morphological variability. The extracted, most important, coefficients were used to reconstruct the average shape of the crowns, using Inverse Fourier Transform. A mean shape of the crown, corresponding to stand conditions in which competition is added as influential shaping factor, aside genetic program of the species, is described for each stem diameter class. Crown regions with highest shape variability, from the perspective of stage development of the trees, were determined. Accordingly, the main crown shape characteristics are: crown elongation, centroid position, asymmetry with regard to the main axis, lateral regions symmetrical and asymmetrical variations. 

  9. The factor structure of the Social Interaction Anxiety Scale and the Social Phobia Scale.

    Science.gov (United States)

    Heidenreich, Thomas; Schermelleh-Engel, Karin; Schramm, Elisabeth; Hofmann, Stefan G; Stangier, Ulrich

    2011-05-01

    The Social Interaction Anxiety Scale (SIAS) and the Social Phobia Scale (SPS) are two compendium measures that have become some of the most popular self-report scales of social anxiety. Despite their popularity, it remains unclear whether it is necessary to maintain two separate scales of social anxiety. The primary objective of the present study was to examine the factor analytic structure of both measures to determine the factorial validity of each scale. For this purpose, we administered both scales to 577 patients at the beginning of outpatient treatment. Analyzing both scales simultaneously, a CFA with two correlated factors showed a better fit to the data than a single factor model. An additional EFA with an oblique rotation on all 40 items using the WLSMV estimator further supported the two factor solution. These results suggest that the SIAS and SPS measure similar, but not identical facets of social anxiety. Thus, our findings provide support to retain the SIAS and SPS as two separate scales. Copyright © 2011 Elsevier Ltd. All rights reserved.

  10. Development and validation of a new knowledge, attitude, belief and practice questionnaire on leptospirosis in Malaysia.

    Science.gov (United States)

    Zahiruddin, Wan Mohd; Arifin, Wan Nor; Mohd-Nazri, Shafei; Sukeri, Surianti; Zawaha, Idris; Bakar, Rahman Abu; Hamat, Rukman Awang; Malina, Osman; Jamaludin, Tengku Zetty Maztura Tengku; Pathman, Arumugam; Mas-Harithulfadhli-Agus, Ab Rahman; Norazlin, Idris; Suhailah, Binti Samsudin; Saudi, Siti Nor Sakinah; Abdullah, Nurul Munirah; Nozmi, Noramira; Zainuddin, Abdul Wahab; Aziah, Daud

    2018-03-07

    In Malaysia, leptospirosis is considered an endemic disease, with sporadic outbreaks following rainy or flood seasons. The objective of this study was to develop and validate a new knowledge, attitude, belief and practice (KABP) questionnaire on leptospirosis for use in urban and rural populations in Malaysia. The questionnaire comprised development and validation stages. The development phase encompassed a literature review, expert panel review, focus-group testing, and evaluation. The validation phase consisted of exploratory and confirmatory parts to verify the psychometric properties of the questionnaire. A total of 214 and 759 participants were recruited from two Malaysian states, Kelantan and Selangor respectively, for the validation phase. The participants comprised urban and rural communities with a high reported incidence of leptospirosis. The knowledge section of the validation phase utilized item response theory (IRT) analysis. The attitude and belief sections utilized exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). The development phase resulted in a questionnaire that included four main sections: knowledge, attitude, belief, and practice. In the exploratory phase, as shown by the IRT analysis of knowledge about leptospirosis, the difficulty and discrimination values of the items were acceptable, with the exception of two items. Based on the EFA, the psychometric properties of the attitude, belief, and practice sections were poor. Thus, these sections were revised, and no further factor analysis of the practice section was conducted. In the confirmatory stage, the difficulty and discrimination values of the items in the knowledge section remained within the acceptable range. The CFA of the attitude section resulted in a good-fitting two-factor model. The CFA of the belief section retained low number of items, although the analysis resulted in a good fit in the final three-factor model. Based on the IRT analysis and factor

  11. The Infinitesimal Jackknife with Exploratory Factor Analysis

    Science.gov (United States)

    Zhang, Guangjian; Preacher, Kristopher J.; Jennrich, Robert I.

    2012-01-01

    The infinitesimal jackknife, a nonparametric method for estimating standard errors, has been used to obtain standard error estimates in covariance structure analysis. In this article, we adapt it for obtaining standard errors for rotated factor loadings and factor correlations in exploratory factor analysis with sample correlation matrices. Both…

  12. Left ventricular wall motion abnormalities evaluated by factor analysis as compared with Fourier analysis

    International Nuclear Information System (INIS)

    Hirota, Kazuyoshi; Ikuno, Yoshiyasu; Nishikimi, Toshio

    1986-01-01

    Factor analysis was applied to multigated cardiac pool scintigraphy to evaluate its ability to detect left ventricular wall motion abnormalities in 35 patients with old myocardial infarction (MI), and in 12 control cases with normal left ventriculography. All cases were also evaluated by conventional Fourier analysis. In most cases with normal left ventriculography, the ventricular and atrial factors were extracted by factor analysis. In cases with MI, the third factor was obtained in the left ventricle corresponding to wall motion abnormality. Each case was scored according to the coincidence of findings of ventriculography and those of factor analysis or Fourier analysis. Scores were recorded for three items; the existence, location, and degree of asynergy. In cases of MI, the detection rate of asynergy was 94 % by factor analysis, 83 % by Fourier analysis, and the agreement in respect to location was 71 % and 66 %, respectively. Factor analysis had higher scores than Fourier analysis, but this was not significant. The interobserver error of factor analysis was less than that of Fourier analysis. Factor analysis can display locations and dynamic motion curves of asynergy, and it is regarded as a useful method for detecting and evaluating left ventricular wall motion abnormalities. (author)

  13. The UK Functional Assessment Measure (UK FIM+FAM): Psychometric Evaluation in Patients Undergoing Specialist Rehabilitation following a Stroke from the National UK Clinical Dataset.

    Science.gov (United States)

    Nayar, Meenakshi; Vanderstay, Roxana; Siegert, Richard J; Turner-Stokes, Lynne

    2016-01-01

    The UK Functional Assessment Measure (UKFIM+FAM) is the principal outcome measure for the UK Rehabilitation Outcomes Collaborative (UKROC) national database for specialist rehabilitation. Previously validated in a mixed neurorehabilitation cohort, this study is the first to explore its psychometric properties in a stroke population, and compare left and right hemispheric strokes (LHS vs RHS). We analysed in-patient episode data from 62 specialist rehabilitation units collated through the UKROC database 2010-2013. Complete data were analysed for 1,539 stroke patients (LHS: 588, RHS: 566 with clear localisation). For factor analysis, admission and discharge data were pooled and randomised into two equivalent samples; the first for exploratory factor analysis (EFA) using principal components analysis, and the second for confirmatory factor analysis (CFA). Responsiveness for each subject (change from admission to discharge) was examined using paired t-tests and differences between LHS and RHS for the entire group were examined using non-paired t-tests. EFA showed a strong general factor accounting for >48% of the total variance. A three-factor solution comprising motor, communication and psychosocial subscales, accounting for >69% total variance, provided acceptable fit statistics on CFA (Root Mean Square Error of Approximation was 0.08 and Comparative Fit Index/ Tucker Lewis Index 0.922/0.907). All three subscales showed significant improvement between admission and discharge (p0.5). Total scores between LHS and RHS were not significantly different. However, LHS showed significantly higher motor scores (Mean 5.7, 95%CI 2.7, 8.6 pLHS had significantly lower cognitive scores, primarily in the communication domain (-6.8 95%CI -7.7, -5.8 pLHS and RHS. This tool extends stroke outcome measurement beyond physical disability to include cognitive, communication and psychosocial function.

  14. Lithuanian Population Aging Factors Analysis

    Directory of Open Access Journals (Sweden)

    Agnė Garlauskaitė

    2015-05-01

    Full Text Available The aim of this article is to identify the factors that determine aging of Lithuania’s population and to assess the influence of these factors. The article shows Lithuanian population aging factors analysis, which consists of two main parts: the first describes the aging of the population and its characteristics in theoretical terms. Second part is dedicated to the assessment of trends that influence the aging population and demographic factors and also to analyse the determinants of the aging of the population of Lithuania. After analysis it is concluded in the article that the decline in the birth rate and increase in the number of emigrants compared to immigrants have the greatest impact on aging of the population, so in order to show the aging of the population, a lot of attention should be paid to management of these demographic processes.

  15. Factor Economic Analysis at Forestry Enterprises

    Directory of Open Access Journals (Sweden)

    M.Yu. Chik

    2018-03-01

    Full Text Available The article studies the importance of economic analysis according to the results of research of scientific works of domestic and foreign scientists. The calculation of the influence of factors on the change in the cost of harvesting timber products by cost items has been performed. The results of the calculation of the influence of factors on the change of costs on 1 UAH are determined using the full cost of sold products. The variable and fixed costs and their distribution are allocated that influences the calculation of the impact of factors on cost changes on 1 UAH of sold products. The paper singles out the general results of calculating the influence of factors on cost changes on 1 UAH of sold products. According to the results of the analysis, the list of reserves for reducing the cost of production at forest enterprises was proposed. The main sources of reserves for reducing the prime cost of forest products at forest enterprises are investigated based on the conducted factor analysis.

  16. [The use of essential fatty acids in the treatments of wounds].

    Science.gov (United States)

    Manhezi, Andreza Cano; Bachion, Maria Márcia; Pereira, Angela Lima

    2008-01-01

    In spite of being widely spread throughout Brazil, the use of essential fatty acids (EFA) for wound healing is controversial. This study aimed at identifying and analyzing the available scientific evidence for EFA to be used in the treatment of wounds. This is a descriptive study, carried out through a systematic literature review, concerning the Biblioteca Virtual de Saúde (Health Online Library) and PubMed data bank, from 1970 to 2006. Initially, we identified 503 references. After the relevance tests I and II, 11 articles were included in the analysis, showing evidence of recommendation- level II and III for EFA to be used in burns, mediastinitis, among others situations. Most studies still refer to its use in animal. Relevant publications are still scarce.

  17. Gender and internet consumers' decision-making.

    Science.gov (United States)

    Yang, Chyan; Wu, Chia-Chun

    2007-02-01

    The purpose of this research is to provide managers of shopping websites information regarding consumer purchasing decisions based on the Consumer Styles Inventory (CSI). According to the CSI, one can capture what decision-making styles online shoppers use. Furthermore, this research also discusses the gender differences among online shoppers. Exploratory factor analysis (EFA) was used to understand the decision-making styles and discriminant analysis was used to distinguish the differences between female and male shoppers. The result shows that there are differences in purchasing decisions between online female and male Internet users.

  18. Differences in essential fatty acid requirements by enteral and parenteral routes of administration in patients with fat malabsorption

    DEFF Research Database (Denmark)

    Jeppesen, Palle B; Høy, Carl-Erik; Mortensen, Per B

    1999-01-01

    Background: Essential fatty acid (EFA) requirements of patients receiving home parenteral nutrition (HPN) are uncertain. Objective: The objective was to evaluate the influence of the route of administration (enteral compared with parenteral) on plasma phospholipid EFA concentrations. Design......: Intestinal absorption, parenteral supplement of EFAs, and plasma phospholipid EFA concentrations were investigated in balance studies in 4 groups (A, B, C, and D) of 10 patients with short-bowel syndrome and a fecal loss of >2000 kJ/d. Groups A (fat malabsorption 50%) did...... absorption was negligible in groups C and D. Thus, intestinal absorption of EFAs in group A. corresponded to parenteral EFA supplements in group C, whereas group D was almost totally deprived of EFAs. The median plasma phospholipid concentration of linoleic acid decreased by 21.9%, > 16.3%, >13.8%, 11...

  19. Being an Informed Consumer of Health Information and Assessment of Electronic Health Literacy in a National Sample of Internet Users: Validity and Reliability of the e-HLS Instrument.

    Science.gov (United States)

    Seçkin, Gül; Yeatts, Dale; Hughes, Susan; Hudson, Cassie; Bell, Valarie

    2016-07-11

    The Internet, with its capacity to provide information that transcends time and space barriers, continues to transform how people find and apply information to their own lives. With the current explosion in electronic sources of health information, including thousands of websites and hundreds of mobile phone health apps, electronic health literacy is gaining an increasing prominence in health and medical research. An important dimension of electronic health literacy is the ability to appraise the quality of information that will facilitate everyday health care decisions. Health information seekers explore their care options by gathering information from health websites, blogs, Web-based forums, social networking websites, and advertisements, despite the fact that information quality on the Internet varies greatly. Nonetheless, research has lagged behind in establishing multidimensional instruments, in part due to the evolving construct of health literacy itself. The purpose of this study was to examine psychometric properties of a new electronic health literacy (ehealth literacy) measure in a national sample of Internet users with specific attention to older users. Our paper is motivated by the fact that ehealth literacy is an underinvestigated area of inquiry. Our sample was drawn from a panel of more than 55,000 participants maintained by Knowledge Networks, the largest national probability-based research panel for Web-based surveys. We examined the factor structure of a 19-item electronic Health Literacy Scale (e-HLS) through exploratory factor analysis (EFA) and confirmatory factor analysis, internal consistency reliability, and construct validity on sample of adults (n=710) and a subsample of older adults (n=194). The AMOS graphics program 21.0 was used to construct a measurement model, linking latent factors obtained from EFA with 19 indicators to determine whether this factor structure achieved a good fit with our entire sample and the subsample (age ≥ 60

  20. Do reciprocal relationships between academic workload and self-regulated learning predict medical freshmen's achievement? A longitudinal study on the educational transition from secondary school to medical school.

    Science.gov (United States)

    Barbosa, Joselina; Silva, Álvaro; Ferreira, Maria Amélia; Severo, Milton

    2018-04-16

    One of the most important factors that makes the transition from secondary school to medical school challenging is the inability to put in the study time that a medical school curriculum demands. The implementation of regulated learning is essential for students to cope with medical course environment and succeed. This study aimed to investigate the reciprocal relationships between self-regulated learning skills (SRLS) and academic workload (AW) across secondary school to medical school transition. Freshmen enrolled in medical school (N = 102) completed questionnaires at the beginning and at the end of their academic year, assessing AW (measured as study time hours and perceived workload), SRLS (planning and strategies for learning assessment, motivation and action to learning and self-directedness) and academic achievement. An exploratory factor analysis (EFA) and a longitudinal path analysis were performed. According to the EFA, study time and perceived workload revealed two factors of AW: students who had a high perceived workload also demonstrated increased study time (tandem AW); and those who had a low perceived workload also demonstrated increased study time (inverse AW). Only a longitudinal relationship between SRLS and AW was found in the path analysis: prior self-directedness was related to later tandem AW. Moreover, success during the first year of medical school is dependent on exposure to motivation, self-directedness and high study time without overload during secondary school and medical school, and prior academic achievement. By better understanding these relationships, teachers can create conditions that support academic success during the first year medical school.

  1. First course in factor analysis

    CERN Document Server

    Comrey, Andrew L

    2013-01-01

    The goal of this book is to foster a basic understanding of factor analytic techniques so that readers can use them in their own research and critically evaluate their use by other researchers. Both the underlying theory and correct application are emphasized. The theory is presented through the mathematical basis of the most common factor analytic models and several methods used in factor analysis. On the application side, considerable attention is given to the extraction problem, the rotation problem, and the interpretation of factor analytic results. Hence, readers are given a background of

  2. Essential fatty acid supplemented diet increases renal excretion of prostaglandin E and water in essential fatty acid deficient rats

    DEFF Research Database (Denmark)

    Hansen, Harald S.

    1981-01-01

    Weanling male rats were fed an essential fatty acid (EFA)-deficient diet for 25 weeks and then switched to an EFA-supplemented diet for 3 weeks. Control rats received the EFA-supplemented diet for 25 weeks and then the EFA-deficient diet for 3 weeks. Throughout the last 19 weeks, the rats were...

  3. Comparative Performance of Patient Health Questionnaire-9 and Edinburgh Postnatal Depression Scale for Screening Antepartum Depression

    Science.gov (United States)

    Zhong, Qiuyue; Gelaye, Bizu; Rondon, Marta; Sánchez, Sixto E; García, Pedro J; Sánchez, Elena; Barrios, Yasmin V; Simon, Gregory E.; Henderson, David C.; Cripe, Swee May; Williams, Michelle A

    2014-01-01

    Objective We sought to evaluate the psychometric properties of two widely used screening scales: the Patient Health Questionnaire (PHQ-9) and Edinburgh Postnatal Depression Scale (EPDS) among pregnant Peruvian women. Methods This cross-sectional study included 1,517 women receiving prenatal care from February 2012 to March 2013. A structured interview was used to collect data using PHQ-9 and EPDS. We examined reliability, construct and concurrent validity between two scales using internal consistency indices, factor structures, correlations, and Cohen’s kappa. Results Both scales had good internal consistency (Cronbach’s alpha > 0.8). Correlation between PHQ-9 and EPDS scores was fair (rho=0.52). Based on exploratory factor analysis (EFA), both scales yielded a two-factor structure. EFA including all items from PHQ-9 and EPDS yielded four factors, namely, “somatization”, “depression and suicidal ideation”, “anxiety and depression”, and “anhedonia”. The agreement between the two scales was generally fair at different cutoff scores with the highest Cohen’s kappa being 0.46. Conclusions Both the PHQ-9 and EPDS are reliable and valid scales for antepartum depression assessment. The PHQ-9 captures somatic symptoms, while EPDS detects depressive symptoms comorbid with anxiety during early pregnancy. Our findings suggest simultaneous administration of both scales may improve identification of antepartum depressive disorders in clinical settings. PMID:24766996

  4. The Cross-Cultural Validity of the MMPI-2-RF Higher-Order Scales in a Sample of North Korean Female Refugees.

    Science.gov (United States)

    Kim, Seong-Hyeon; Goodman, Grace M; Toruno, Joseph A; Sherry, Alissa R; Kim, Hee Kyung

    2015-10-01

    We investigated the cross-cultural factorial validity of the three Higher-Order (H-O) scales in the Minnesota Multiphasic Personality Inventory-2 Restructured Form (MMPI-2-RF) among a sample of North Korean female refugees (N = 2,732). Given the importance of the H-O scales in the overall structure of the MMPI-2-RF scales and in interpretation, we were interested in exploring their cross-cultural validity. We conducted an exploratory factor analysis (EFA) on the nine Restructured Clinical (RC) scale raw scores and fitted and compared one- to three-factor models. The three-factor model, akin to the model in Tellegen and Ben-Porath, demonstrated the best fit to the data. Furthermore, the pattern matrices of loadings across the current sample and the U.S. samples were comparable despite some differences, such as the RC2 scale's salient, negative loading on a factor analogous to the Behavioral/Externalizing Dysfunction scale. We also investigated the unique psychological characteristics of the refugees, possibly resulting from the arduous, perilous journeys out of North Korea taken by this group of female refugees and discussed the results of EFA in light of those singular psychological traits and experiences. Overall, the three H-O scales of the Korean MMPI-2-RF evidenced reasonable cross-cultural factorial validity among the sample of North Korean female refugees. © The Author(s) 2014.

  5. Multiple factor analysis by example using R

    CERN Document Server

    Pagès, Jérôme

    2014-01-01

    Multiple factor analysis (MFA) enables users to analyze tables of individuals and variables in which the variables are structured into quantitative, qualitative, or mixed groups. Written by the co-developer of this methodology, Multiple Factor Analysis by Example Using R brings together the theoretical and methodological aspects of MFA. It also includes examples of applications and details of how to implement MFA using an R package (FactoMineR).The first two chapters cover the basic factorial analysis methods of principal component analysis (PCA) and multiple correspondence analysis (MCA). The

  6. Validation of the Domain-Specific Risk-Taking Scale in Chinese college students

    Directory of Open Access Journals (Sweden)

    Xiaoxiao Hu

    2012-03-01

    Full Text Available Using college student samples, two studies were conducted to validate the Chinese version of the Domain-Specific Risk-Taking (DOSPERT Scale. The results replicated important findings reported by Weber et al. (2002 in the Chinese culture. Risk-taking and risk perception were domain-specific, whereas perceived-risk attitudes were relatively stable across domains, supporting the risk-return model of risk taking. Results of both exploratory factor analysis (EFA and confirmatory factor analysis (CFA showed that the ethical, recreational, health/safety, and gambling domains were preserved in the Chinese version of DOSPERT and that the items from social and investment domains formed one factor. This result may be explained by Weber and Hsee's (1998 cushion hypothesis. Other possible reasons for this cross-cultural difference in the factor structure were also discussed.

  7. Coping behaviors V.S Customer Complaint Behavior: A Study of Iranian Consumers 'Coping Behaviors with Service Failures

    Directory of Open Access Journals (Sweden)

    Parvaneh Charsetad

    2016-12-01

    Full Text Available Purpose–Consumer researchers have become increasingly interested in the study of coping. This research contributes to this novel paradigm by investigating structural theories of coping with service failure using a hierarchical structure.    Design/methodology/approach– For this purpose after an extensive review of related literature, the preliminary scale consist of 45 items was adopted and compiled from previous studies. The paper uses both exploratory (EFA and confirmatory (CFA factor analysis to examine the factor structure and psychometric properties of these items. Findings– After a confirmatory factor analysis and reliability and validity tests, a hierarchal model with three higher order and nine lower order factor, was obtained. Originality/value– Despite the importance of coping strategies in service failure context, there isn't any considerable research in Iran to identify coping behaviors.

  8. How to measure experiences of healthcare quality in Denmark among patients with heart disease? The development and psychometric evaluation of a patient-reported instrument

    DEFF Research Database (Denmark)

    Zinckernagel, Line; Schneekloth, Nanna; Zwisler, Ann Dorthe Olsen

    2017-01-01

    Objective Measuring the quality of care as experienced by patients is increasingly recognised as a way of improving healthcare services. However, disease-specific measures that take the patient journey into account are needed. This paper presents the development of such a measure for patients...... with heart disease and details the psychometric evaluation. Design The questionnaire was developed based on a literature review, qualitative interviews and a pilot-test. The psychometric evaluation of the measure was assessed using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA......), Cronbach's alpha coefficient and differential item functioning analysis with data from a population-based survey. Setting Denmark in 2013-2014. Study participants Nineteen heart patients, four relatives and eight health professionals participated in qualitative interviews in the development phase, and 15...

  9. Analysis of mineral phases in coal utilizing factor analysis

    International Nuclear Information System (INIS)

    Roscoe, B.A.; Hopke, P.K.

    1982-01-01

    The mineral phase inclusions of coal are discussed. The contribution of these to a coal sample are determined utilizing several techniques. Neutron activation analysis in conjunction with coal washability studies have produced some information on the general trends of elemental variation in the mineral phases. These results have been enhanced by the use of various statistical techniques. The target transformation factor analysis is specifically discussed and shown to be able to produce elemental profiles of the mineral phases in coal. A data set consisting of physically fractionated coal samples was generated. These samples were analyzed by neutron activation analysis and then their elemental concentrations examined using TTFA. Information concerning the mineral phases in coal can thus be acquired from factor analysis even with limited data. Additional data may permit the resolution of additional mineral phases as well as refinement of theose already identified

  10. Obsessive-compulsive symptoms in a normative Chinese sample of youth: prevalence, symptom dimensions, and factor structure of the Leyton Obsessional Inventory--Child Version.

    Science.gov (United States)

    Sun, Jing; Boschen, Mark J; Farrell, Lara J; Buys, Nicholas; Li, Zhan-Jiang

    2014-08-01

    Chinese adolescents face life stresses from multiple sources, with higher levels of stress predictive of adolescent mental health outcomes, including in the area of obsessive-compulsive disorders (OCD). Valid assessment of OCD among this age group is therefore a critical need in China. This study aims to standardise the Chinese version of the Leyton short version scale for adolescents of secondary schools in order to assess this condition. Stratified randomly selected adolescents were selected from four high schools located in Beijing, China. The Chinese version of the Leyton scale was administered to 3221 secondary school students aged between 12 and 18 years. A high response rate was achieved, with 3185 adolescents responding to the survey (98.5 percent). Exploratory factor analysis (EFA) extracted four factors from the scale: compulsive thoughts, concerns of cleanliness, lucky number, repetitiveness and repeated checking. The four-factor structures were confirmed using Confirmatory Factor Analysis (CFA). Overall the four-factor structure had a good model fit and high levels of reliability for each individual dimension and reasonable content validity. Invariance analyses in unconstrained, factor loading, and error variance models demonstrated that the Leyton scale is invariant in relation to the presence or absence OCD, age and gender. Discriminant validity analysis demonstrated that the four-factor structure scale also had excellent ability to differentiate between OCD and non-OCD students, male and female students, and age groups. The dataset was a non-clinical sample of high school students, rather than a sample of individuals with OCD. Future research may examine symptom structure in clinical populations to assess whether this structure fits into both clinical and community population. The structure derived from the Leyton short version scale in a non-clinical secondary school sample of adolescents, suggests that a four-factor solution can be utilised as a

  11. Uptake and metabolism of structured triglyceride by Caco-2 cells: reversal of essential fatty acid deficiency.

    Science.gov (United States)

    Spalinger, J H; Seidman, E G; Lepage, G; Ménard, D; Gavino, V; Levy, E

    1998-10-01

    Structured lipids have been proposed as efficient vehicles for the supplementation of essential fatty acids (EFA) to patients with malabsorption. We investigated how a novel structured triglyceride (STG), containing purely octanoic acid in the sn-1/sn-3 and [14C]linoleic acid in the sn-2 positions, was incorporated into different lipid classes in Caco-2 cells. We also evaluated the contribution of gastric lipase in the uptake and metabolism of [14C]linoleic acid from the STG. We furthermore determined the potential of the STG to correct EFA deficiency induced in Caco-2 cells. The absorption of STG by Caco-2 cells was significantly greater compared with that of triolein. The addition of human gastric lipase significantly enhanced cellular uptake of the labeled substrate, reflecting the stereoselectivity of gastric lipase to hydrolyze medium chain FA. Analysis of the intracellular lipids synthesized revealed a predominance of phospholipids-monoglycerides. Most of the radioactivity in the lipoproteins isolated from Caco-2 cells was recovered in TG-rich lipoproteins (45%) and to a lesser extent in the high-density lipoprotein (36%) and low-density lipoprotein (17%) fractions. The administration of STG to Caco-2 cells rendered EFA deficient produced a marked increase of the cellular level of linoleic and arachidonic acids. This resulted in a lower ratio of 20:3(n-9) to 20:4(n-6), reflecting the correction of EFA deficiency in Caco-2 cells. Our data demonstrate that STG, in the presence of gastric lipase, have beneficial effects on lipid incorporation, lipoprotein production, and EFA status, utilizing Caco-2 cells as a model of EFA deficiency.

  12. The Iranian version of 12-item Short Form Health Survey (SF-12): factor structure, internal consistency and construct validity.

    Science.gov (United States)

    Montazeri, Ali; Vahdaninia, Mariam; Mousavi, Sayed Javad; Omidvari, Speideh

    2009-09-16

    The 12-item Short Form Health Survey (SF-12) as a shorter alternative of the SF-36 is largely used in health outcomes surveys. The aim of this study was to validate the SF-12 in Iran. A random sample of the general population aged 15 years and over living in Tehran, Iran completed the SF-12. Reliability was estimated using internal consistency and validity was assessed using known groups comparison and convergent validity. In addition, the factor structure of the questionnaire was extracted by performing both exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). In all, 5587 individuals were studied (2721 male and 2866 female). The mean age and formal education of the respondents were 35.1 (SD = 15.4) and 10.2 (SD = 4.4) years respectively. The results showed satisfactory internal consistency for both summary measures, that are the Physical Component Summary (PCS) and the Mental Component Summary (MCS); Cronbach's alpha for PCS-12 and MCS-12 was 0.73 and 0.72, respectively. Known-groups comparison showed that the SF-12 discriminated well between men and women and those who differed in age and educational status (P < 0.001). In addition, correlations between the SF-12 scales and single items showed that the physical functioning, role physical, bodily pain and general health subscales correlated higher with the PCS-12 score, while the vitality, social functioning, role emotional and mental health subscales more correlated with the MCS-12 score lending support to its good convergent validity. Finally the principal component analysis indicated a two-factor structure (physical and mental health) that jointly accounted for 57.8% of the variance. The confirmatory factory analysis also indicated a good fit to the data for the two-latent structure (physical and mental health). In general the findings suggest that the SF-12 is a reliable and valid measure of health related quality of life among Iranian population. However, further studies are needed to

  13. The Effect of Different Attentional Focus Instructions during Finger Movement Tasks in Healthy Subjects: An Exploratory Study

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    Giacomo Rossettini

    2017-01-01

    Full Text Available External focus of attention (EFA and internal focus of attention (IFA represent commonly used strategies to instruct subjects during exercise. Several studies showed EFA to be more effective than IFA to improve motor performance and learning. To date the role of these strategies on motor performance during finger movement was less studied. The objective of the study was to investigate motor performance, patient’s preference induced by IFA and EFA, and the focus during control condition. Ten healthy right-handed participants performed a finger movement task in control, EFA, and IFA conditions (counterbalanced. Errors, patient’s preference, and type of attentional focus spontaneously adopted during the control condition were recorded. EFA determined less error (p<0.01 compared to control and IFA. Participants preferred EFA against IFA and control condition. In the control group 10% of subjects adopted a purely EFA, 70% of subjects adopted a purely IFA, and 20% of subjects adopted a mixture of the two foci. Our results confirm that EFA is more effective than IFA and control in finger movement task. Due its clinical relevance, the interaction between attention and finger movement should be further investigated.

  14. Psychometric Properties of a Scale to Assess Parental Self-Efficacy for Influencing Children's Dietary, Physical Activity, Sedentary, and Screen Time Behaviors in Disadvantaged Areas.

    Science.gov (United States)

    Norman, Åsa; Bohman, Benjamin; Nyberg, Gisela; Schäfer Elinder, Liselotte

    2018-02-01

    According to social cognitive theory, self-efficacy is central to behavior change. Consequently, parental self-efficacy (PSE) for influencing children's dietary, physical activity (PA), sedentary, and screen time behaviors is important for child obesity prevention. The aim of this study was to evaluate the psychometric properties of an instrument to measure PSE regarding these behaviors in disadvantaged areas. Parents ( n = 229) of whom 47% had completed secondary school or less, and who participated in the Healthy School Start trial, responded to a 15-item PSE instrument. Children's diet and screen time were measured through parent reports. PA and sedentary behaviors were measured using accelerometers. Construct validity was assessed using exploratory factor analysis (EFA), criterion validity by correlations with child behaviors, and internal consistency by Cronbach's alpha. The EFA yielded three factors: (a) PSE for promoting PA; (b) PSE for limiting intake of unhealthy foods, unhealthy drinks, and screen time; and (c) PSE for promoting intake of fruits and vegetables, all with acceptable to good internal consistency (α = .77-.81). Significant correlations ( p children's dietary ( r s = -.19 to -.29) and screen time ( r = -.29) behaviors and Factor 2, and dietary behaviors and Factor 3 ( r s = .20-.39) but not regarding PA and sedentary behaviors and Factor 1. The instrument demonstrated good construct validity and acceptable to good internal consistency regarding all but PA behaviors. It may be useful for assessing PSE in child obesity prevention interventions in disadvantaged settings after some refinement.

  15. The role of systemic and topical fatty acids for dry eye treatment.

    Science.gov (United States)

    Barabino, Stefano; Horwath-Winter, Jutta; Messmer, Elisabeth M; Rolando, Maurizio; Aragona, Pasquale; Kinoshita, Shigeru

    2017-11-01

    Dry eye is a prevalent condition and one of the main reasons for patients to seek ophthalmic medical care. A low systemic level of omega fatty acids is a risk factor for dry eye disease (DED). There are two groups of essential fatty acids (EFAs): the omega-6 (n-6) family and the omega-3 (n-3) family. Humans evolved on a diet in which the n-6:n-3 ratio was approximately 1:1, however the current Western diet tends to be deficient in n-3 EFAs and this ratio is typically much higher (approaching 17:1). The metabolism of EFAs generates four new families of local acting mediators: lipoxins, resolvins, protectins, and maresins. These molecules have anti-inflammatory and pro-resolution properties. We present a critical overview of animal model studies and human clinical trials that have shown that dietary modification and oral supplementation could be complementary therapeutic strategies for the treatment of dry eye. Furthermore, we discuss preliminary results of the topical application of n-3 and n-6 EFAs because these molecules may act as natural anti-inflammatory agents with positive changes of the entire ocular surface system. Copyright © 2017 Elsevier Ltd. All rights reserved.

  16. Essential fats for future health. Proceedings of the 9th Unilever Nutrition Symposium, 26-27 May 2010.

    Science.gov (United States)

    Calder, P C; Dangour, A D; Diekman, C; Eilander, A; Koletzko, B; Meijer, G W; Mozaffarian, D; Niinikoski, H; Osendarp, S J M; Pietinen, P; Schuit, J; Uauy, R

    2010-12-01

    The 9th Unilever Nutrition Symposium entitled 'Essential fats for future health', held on 26-27 May 2010, aimed to review the dietary recommendations for essential fatty acids (EFA); discuss the scientific evidence for the roles of EFA in cognition, immune function and cardiovascular health; and to identify opportunities for joint efforts by industry, academia, governmental and non-governmental organizations to effectively improve health behaviour. This paper summarizes the main conclusions of the presentations given at the symposium. Linoleic acid (LA) and α-linolenic acid (ALA) are EFA that cannot by synthesized by the human body. Docosahexaenoic acid (DHA) is considered as conditionally essential because of its limited formation from ALA in the human body and its critical role in early normal retinal and brain development and, jointly with eicosapentaenoic acid (EPA), in prevention of cardiovascular disease (CVD). Some evidence for possible beneficial roles of n-3 fatty acids for immune function and adult cognitive function is emerging. A higher consumption of polyunsaturated fatty acids (PUFA; >10%E), including LA, ALA and at least 250-500 mg per day of EPA+DHA, is recommended for prevention of coronary heart disease (CHD). Two dietary interventions suggest that EFA may affect CVD risk factors in children similarly as in adults. To ensure an adequate EFA intake of the population, including children, public health authorities should develop clear messages based on current science; ensure availability of healthy, palatable foods; and collaborate with scientists, the food industry, schools, hospitals, health-care providers and communities to encourage consumers to make healthy choices.

  17. Preparation and evaluation of ethyl [18F]fluoroacetate as a proradiotracer of [18F]fluoroacetate for the measurement of glial metabolism by PET

    International Nuclear Information System (INIS)

    Mori, Tetsuya; Sun, Li-Quan; Kobayashi, Masato; Kiyono, Yasushi; Okazawa, Hidehiko; Furukawa, Takako; Kawashima, Hidekazu; Welch, Michael J.; Fujibayashi, Yasuhisa

    2009-01-01

    Introduction: Changes in glial metabolism in brain ischemia, Alzheimer's disease, depression, schizophrenia, epilepsy and manganese neurotoxicity have been reported in recent studies. Therefore, it is very important to measure glial metabolism in vivo for the elucidation and diagnosis of these diseases. Radiolabeled acetate is a good candidate for this purpose, but acetate has little uptake in the brain due to its low lipophilicity. We have designed a new proradiotracer, ethyl [ 18 F]fluoroacetate ([ 18 F]EFA), which is [ 18 F]fluoroacetate ([ 18 F]FA) esterified with ethanol, to increase the lipophilicity of fluoroacetate (FA), allowing the measurement of glial metabolism. Methods: The synthesis of [ 18 F]EFA was achieved using ethyl O-mesyl-glycolate as precursor. The blood-brain barrier permeability of ethyl [1- 14 C]fluoroacetate ([ 14 C]EFA) was estimated by a brain uptake index (BUI) method. Hydrolysis of [ 14 C]EFA in the brain was calculated by the fraction of radioactivity in lipophilic and water fractions of homogenized brain. Using the plasma of five animal species, the stability of [ 14 C]EFA was measured. Biodistribution studies of [ 18 F]EFA in ddY mice were carried out and compared with [ 18 F]FA. Positron emission tomography (PET) scanning using common marmosets was performed for 90 min postadministration. At 60 min postinjection of [ 18 F]EFA, metabolite studies were performed. Organs were dissected from the marmosets, and extracted metabolites were analyzed with a thin-layer chromatography method. Results: The synthesis of [ 18 F]EFA was accomplished in a short time (29 min) and with a reproducible radiochemical yield of 28.6±3.6% (decay corrected) and a high radiochemical purity of more than 95%. In the brain permeability study, the BUI of [ 14 C]EFA was 3.8 times higher than that of sodium [1- 14 C]fluoroacetate. [ 14 C]EFA was hydrolyzed rapidly in rat brains. In stability studies using the plasma of five animal species, [ 14 C]EFA was stable

  18. The UK Functional Assessment Measure (UK FIM+FAM: Psychometric Evaluation in Patients Undergoing Specialist Rehabilitation following a Stroke from the National UK Clinical Dataset.

    Directory of Open Access Journals (Sweden)

    Meenakshi Nayar

    Full Text Available The UK Functional Assessment Measure (UKFIM+FAM is the principal outcome measure for the UK Rehabilitation Outcomes Collaborative (UKROC national database for specialist rehabilitation. Previously validated in a mixed neurorehabilitation cohort, this study is the first to explore its psychometric properties in a stroke population, and compare left and right hemispheric strokes (LHS vs RHS. We analysed in-patient episode data from 62 specialist rehabilitation units collated through the UKROC database 2010-2013. Complete data were analysed for 1,539 stroke patients (LHS: 588, RHS: 566 with clear localisation. For factor analysis, admission and discharge data were pooled and randomised into two equivalent samples; the first for exploratory factor analysis (EFA using principal components analysis, and the second for confirmatory factor analysis (CFA. Responsiveness for each subject (change from admission to discharge was examined using paired t-tests and differences between LHS and RHS for the entire group were examined using non-paired t-tests. EFA showed a strong general factor accounting for >48% of the total variance. A three-factor solution comprising motor, communication and psychosocial subscales, accounting for >69% total variance, provided acceptable fit statistics on CFA (Root Mean Square Error of Approximation was 0.08 and Comparative Fit Index/ Tucker Lewis Index 0.922/0.907. All three subscales showed significant improvement between admission and discharge (p0.5. Total scores between LHS and RHS were not significantly different. However, LHS showed significantly higher motor scores (Mean 5.7, 95%CI 2.7, 8.6 p<0.001, while LHS had significantly lower cognitive scores, primarily in the communication domain (-6.8 95%CI -7.7, -5.8 p<0.001. To conclude, the UK FIM+FAM has a three-factor structure in stroke, similar to the general neurorehabilitation population. It is responsive to change during in-patient rehabilitation, and distinguishes

  19. Essential versus potentially toxic dietary substances: A seasonal comparison of essential fatty acids and methyl mercury concentrations in the planktonic food web

    Energy Technology Data Exchange (ETDEWEB)

    Kainz, Martin [Aquatic Ecosystem Management Research Division, National Water Research Institute, Environment Canada, 867 Lakeshore Road, P.O. Box 505, Burlington, ON L7R 4A6 (Canada)], E-mail: martin.kainz@donau-uni.ac.at; Arts, Michael T. [Water and Aquatic Sciences Research Program, University of Victoria, Department of Biology, P.O. Box 3020, Stn. CSC, Victoria, BC V8W 3N5 (Canada); Mazumder, Asit [Aquatic Ecosystem Management Research Division, National Water Research Institute, Environment Canada, 867 Lakeshore Road, P.O. Box 505, Burlington, ON L7R 4A6 (Canada)

    2008-09-15

    We investigated seasonal variability of essential fatty acids (EFA) and methyl mercury (MeHg) concentrations in four size categories of planktonic organisms in two coastal lakes. MeHg concentrations increased significantly with increasing plankton size and were independent of plankton taxonomy. However, total EFA increased from seston to mesozooplankton, but decreased in the cladoceran-dominated macrozooplankton size-class. Analysis of EFA patterns revealed that linoleic, alpha-linolenic, arachidonic, and eicosapentaenoic acids increased with increasing zooplankton size, but docosahexaenoic acid (DHA) in the cladoceran-dominated macrozooplankton was generally lower than in seston. This consistent pattern demonstrates that cladocerans, although bioaccumulating MeHg, convey less DHA than similar-sized copepods to their consumers. It is thus evident that fish consuming cladocerans have restricted access to DHA, yet unrestricted dietary access to MeHg. Thus, the structure of planktonic food webs clearly affects the composition of EFA and regulates dietary supply of these essential nutrients, while MeHg bioaccumulates with increasing zooplankton size. - The structure of planktonic food webs largely regulates the composition and dietary supply of essential fatty acids, while MeHg bioaccumulates with zooplankton size.

  20. Essential versus potentially toxic dietary substances: A seasonal comparison of essential fatty acids and methyl mercury concentrations in the planktonic food web

    International Nuclear Information System (INIS)

    Kainz, Martin; Arts, Michael T.; Mazumder, Asit

    2008-01-01

    We investigated seasonal variability of essential fatty acids (EFA) and methyl mercury (MeHg) concentrations in four size categories of planktonic organisms in two coastal lakes. MeHg concentrations increased significantly with increasing plankton size and were independent of plankton taxonomy. However, total EFA increased from seston to mesozooplankton, but decreased in the cladoceran-dominated macrozooplankton size-class. Analysis of EFA patterns revealed that linoleic, alpha-linolenic, arachidonic, and eicosapentaenoic acids increased with increasing zooplankton size, but docosahexaenoic acid (DHA) in the cladoceran-dominated macrozooplankton was generally lower than in seston. This consistent pattern demonstrates that cladocerans, although bioaccumulating MeHg, convey less DHA than similar-sized copepods to their consumers. It is thus evident that fish consuming cladocerans have restricted access to DHA, yet unrestricted dietary access to MeHg. Thus, the structure of planktonic food webs clearly affects the composition of EFA and regulates dietary supply of these essential nutrients, while MeHg bioaccumulates with increasing zooplankton size. - The structure of planktonic food webs largely regulates the composition and dietary supply of essential fatty acids, while MeHg bioaccumulates with zooplankton size

  1. Impact of early life adversity on reward processing in young adults: EEG-fMRI results from a prospective study over 25 years.

    Directory of Open Access Journals (Sweden)

    Regina Boecker

    Full Text Available Several lines of evidence have implicated the mesolimbic dopamine reward pathway in altered brain function resulting from exposure to early adversity. The present study examined the impact of early life adversity on different stages of neuronal reward processing later in life and their association with a related behavioral phenotype, i.e. attention deficit/hyperactivity disorder (ADHD. 162 healthy young adults (mean age = 24.4 years; 58% female from an epidemiological cohort study followed since birth participated in a simultaneous EEG-fMRI study using a monetary incentive delay task. Early life adversity according to an early family adversity index (EFA and lifetime ADHD symptoms were assessed using standardized parent interviews conducted at the offspring's age of 3 months and between 2 and 15 years, respectively. fMRI region-of-interest analysis revealed a significant effect of EFA during reward anticipation in reward-related areas (i.e. ventral striatum, putamen, thalamus, indicating decreased activation when EFA increased. EEG analysis demonstrated a similar effect for the contingent negative variation (CNV, with the CNV decreasing with the level of EFA. In contrast, during reward delivery, activation of the bilateral insula, right pallidum and bilateral putamen increased with EFA. There was a significant association of lifetime ADHD symptoms with lower activation in the left ventral striatum during reward anticipation and higher activation in the right insula during reward delivery. The present findings indicate a differential long-term impact of early life adversity on reward processing, implicating hyporesponsiveness during reward anticipation and hyperresponsiveness when receiving a reward. Moreover, a similar activation pattern related to lifetime ADHD suggests that the impact of early life stress on ADHD may possibly be mediated by a dysfunctional reward pathway.

  2. Logistic regression analysis of risk factors for postoperative recurrence of spinal tumors and analysis of prognostic factors.

    Science.gov (United States)

    Zhang, Shanyong; Yang, Lili; Peng, Chuangang; Wu, Minfei

    2018-02-01

    The aim of the present study was to investigate the risk factors for postoperative recurrence of spinal tumors by logistic regression analysis and analysis of prognostic factors. In total, 77 male and 48 female patients with spinal tumor were selected in our hospital from January, 2010 to December, 2015 and divided into the benign (n=76) and malignant groups (n=49). All the patients underwent microsurgical resection of spinal tumors and were reviewed regularly 3 months after operation. The McCormick grading system was used to evaluate the postoperative spinal cord function. Data were subjected to statistical analysis. Of the 125 cases, 63 cases showed improvement after operation, 50 cases were stable, and deterioration was found in 12 cases. The improvement rate of patients with cervical spine tumor, which reached 56.3%, was the highest. Fifty-two cases of sensory disturbance, 34 cases of pain, 30 cases of inability to exercise, 26 cases of ataxia, and 12 cases of sphincter disorders were found after operation. Seventy-two cases (57.6%) underwent total resection, 18 cases (14.4%) received subtotal resection, 23 cases (18.4%) received partial resection, and 12 cases (9.6%) were only treated with biopsy/decompression. Postoperative recurrence was found in 57 cases (45.6%). The mean recurrence time of patients in the malignant group was 27.49±6.09 months, and the mean recurrence time of patients in the benign group was 40.62±4.34. The results were significantly different (Pregression analysis of total resection-related factors showed that total resection should be the preferred treatment for patients with benign tumors, thoracic and lumbosacral tumors, and lower McCormick grade, as well as patients without syringomyelia and intramedullary tumors. Logistic regression analysis of recurrence-related factors revealed that the recurrence rate was relatively higher in patients with malignant, cervical, thoracic and lumbosacral, intramedullary tumors, and higher Mc

  3. Physics Metacognition Inventory Part II: Confirmatory factor analysis and Rasch analysis

    Science.gov (United States)

    Taasoobshirazi, Gita; Bailey, MarLynn; Farley, John

    2015-11-01

    The Physics Metacognition Inventory was developed to measure physics students' metacognition for problem solving. In one of our earlier studies, an exploratory factor analysis provided evidence of preliminary construct validity, revealing six components of students' metacognition when solving physics problems including knowledge of cognition, planning, monitoring, evaluation, debugging, and information management. The college students' scores on the inventory were found to be reliable and related to students' physics motivation and physics grade. However, the results of the exploratory factor analysis indicated that the questionnaire could be revised to improve its construct validity. The goal of this study was to revise the questionnaire and establish its construct validity through a confirmatory factor analysis. In addition, a Rasch analysis was applied to the data to better understand the psychometric properties of the inventory and to further evaluate the construct validity. Results indicated that the final, revised inventory is a valid, reliable, and efficient tool for assessing student metacognition for physics problem solving.

  4. Development of a Cultural Connectedness Scale for First Nations youth.

    Science.gov (United States)

    Snowshoe, Angela; Crooks, Claire V; Tremblay, Paul F; Craig, Wendy M; Hinson, Riley E

    2015-03-01

    Despite a growing recognition of cultural connectedness as an important protective factor for First Nations (FN) peoples' health, there remains a clear need for a conceptual model that organizes, explains, and leads to an understanding of the resiliency mechanisms underlying this concept for FN youth. The current study involved the development of the Cultural Connectedness Scale (CCS) to identify a new scale of cultural connectedness. A sample of 319 FN, Métis, and Inuit youths enrolled in Grades 8-12 from reserve and urban areas in Saskatchewan and Southwestern Ontario, Canada, participated in the current study. A combination of rational expert judgments and empirical data were used to refine the pool of items to a set that is a representative sample of the indicators of the cultural connectedness construct. Exploratory factor analysis (EFA) was used to examine the latent structure of the cultural connectedness items, and a confirmatory factor analysis was used to test the fit of a more parsimonious version of the final EFA model. The resulting 29-item inventory consisted of 3 dimensions: identity, traditions, and spirituality. Criterion validity was demonstrated with cultural connectedness dimensions correlating well with other youth well-being indicators. The conceptualization and operationalization of the cultural connectedness has a number of potential applications both for research and prevention. This study provides an orienting framework that guides measurement of cultural connectedness that researchers need to further explore the role of culture in enhancing resiliency and well-being among FN youth in Canada. 2015 APA, all rights reserved

  5. A validated model for the 22-item Sino-Nasal Outcome Test subdomain structure in chronic rhinosinusitis.

    Science.gov (United States)

    Feng, Allen L; Wesely, Nicholas C; Hoehle, Lloyd P; Phillips, Katie M; Yamasaki, Alisa; Campbell, Adam P; Gregorio, Luciano L; Killeen, Thomas E; Caradonna, David S; Meier, Josh C; Gray, Stacey T; Sedaghat, Ahmad R

    2017-12-01

    Previous studies have identified subdomains of the 22-item Sino-Nasal Outcome Test (SNOT-22), reflecting distinct and largely independent categories of chronic rhinosinusitis (CRS) symptoms. However, no study has validated the subdomain structure of the SNOT-22. This study aims to validate the existence of underlying symptom subdomains of the SNOT-22 using confirmatory factor analysis (CFA) and to develop a subdomain model that practitioners and researchers can use to describe CRS symptomatology. A total of 800 patients with CRS were included into this cross-sectional study (400 CRS patients from Boston, MA, and 400 CRS patients from Reno, NV). Their SNOT-22 responses were analyzed using exploratory factor analysis (EFA) to determine the number of symptom subdomains. A CFA was performed to develop a validated measurement model for the underlying SNOT-22 subdomains along with various tests of validity and goodness of fit. EFA demonstrated 4 distinct factors reflecting: sleep, nasal, otologic/facial pain, and emotional symptoms (Cronbach's alpha, >0.7; Bartlett's test of sphericity, p Kaiser-Meyer-Olkin >0.90), independent of geographic locale. The corresponding CFA measurement model demonstrated excellent measures of fit (root mean square error of approximation, 0.95; Tucker-Lewis index, >0.95) and measures of construct validity (heterotrait-monotrait [HTMT] ratio, 0.7), again independent of geographic locale. The use of the 4-subdomain structure for SNOT-22 (reflecting sleep, nasal, otologic/facial pain, and emotional symptoms of CRS) was validated as the most appropriate to calculate SNOT-22 subdomain scores for patients from different geographic regions using CFA. © 2017 ARS-AAOA, LLC.

  6. Validity and Reliability of Malay Version of the Job Content Questionnaire among Public Hospital Female Nurses in Malaysia

    Directory of Open Access Journals (Sweden)

    NA Amin

    2015-10-01

    Full Text Available Background: The Job Content Questionnaire (M-JCQ is an established self-reported instrument used across the world to measure the work dimensions based on the Karasek's demand-control-support model. Objective: To evaluate the psychometrics properties of the Malay version of M-JCQ among nurses in Malaysia. Methods: This cross-sectional study was carried out on nurses working in 4 public hospitals in Klang Valley area, Malaysia. M-JCQ was used to assess the perceived psychosocial stressors and physical demands of nurses at their workplaces. Construct validity of the questionnaire was examined using exploratory factor analysis (EFA. Cronbach's α values were used to estimate the reliability (internal consistency of the M-JCQ. Results: EFA showed that 34 selected items were loaded in 4 factors. Except for psychological job demand (Cronbach's α 0.51, the remaining 3 α values for 3 subscales (job control, social support, and physical demand were greater than 0.70, indicating acceptable internal consistency. However, an item was excluded due to poor item-total correlation (r<0.3. The final M-JCQ was consisted of 33 items. Conclusion: The M-JCQ is a reliable and valid instrument to measure psychosocial and physical stressors in the workplace of public hospital nurses in Malaysia.

  7. Measuring attitudes about women's recourse after exposure to intimate partner violence: the ATT-RECOURSE scale.

    Science.gov (United States)

    Yount, Kathryn M; VanderEnde, Kristin; Zureick-Brown, Sarah; Minh, Tran Hung; Schuler, Sidney Ruth; Anh, Hoang Tu

    2014-06-01

    Attitudes about intimate partner violence (IPV) against women are widely surveyed, but attitudes about women's recourse after exposure to IPV are understudied, despite their importance for intervention. Designed through qualitative research and administered in a probability sample of 1,054 married men and women 18 to 50 years in My Hao District, Vietnam, the ATT-RECOURSE scale measures men's and women's attitudes about a wife's recourse after exposure to physical IPV. Data were initially collected for nine items. Exploratory factor analysis (EFA) with one random split-half sample (N 1 = 526) revealed a one-factor model with significant loadings (0.316-0.686) for six items capturing a wife's silence, informal recourse, and formal recourse. A confirmatory factor analysis (CFA) with the other random split-half sample (N 2 = 528) showed adequate fit for the six-item model and significant factor loadings of similar magnitude to the EFA results (0.412-0.669). For the six items retained, men consistently favored recourse more often than did women (52.4%-66.0% of men vs. 41.9%-55.2% of women). Tests for uniform differential item functioning (DIF) by gender revealed one item with significant uniform DIF, and adjusting for this revealed an even larger gap in men's and women's attitudes, with men favoring recourse, on average, more than women. The six-item ATT-RECOURSE scale is reliable across independent samples and exhibits little uniform DIF by gender, supporting its use in surveys of men and women. Further methodological research is discussed. Research is needed in Vietnam about why women report less favorable attitudes than men regarding women's recourse after physical IPV.

  8. Preparation and evaluation of ethyl [{sup 18}F]fluoroacetate as a proradiotracer of [{sup 18}F]fluoroacetate for the measurement of glial metabolism by PET

    Energy Technology Data Exchange (ETDEWEB)

    Mori, Tetsuya [Biomedical Imaging Research Center, University of Fukui, Fukui 910-1193 (Japan); Sun, Li-Quan [Biomedical Imaging Research Center, University of Fukui, Fukui 910-1193 (Japan); School of Life Science and Technology, Beijing Institute of Technology, Beijing 100081 (China); Kobayashi, Masato [Biomedical Imaging Research Center, University of Fukui, Fukui 910-1193 (Japan); Kiyono, Yasushi [Biomedical Imaging Research Center, University of Fukui, Fukui 910-1193 (Japan)], E-mail: ykiyono@u-fukui.ac.jp; Okazawa, Hidehiko; Furukawa, Takako [Biomedical Imaging Research Center, University of Fukui, Fukui 910-1193 (Japan); Kawashima, Hidekazu [Graduate School of Medicine, Kyoto University, Kyoto 606-8501 (Japan); Welch, Michael J. [Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110 (United States); Fujibayashi, Yasuhisa [Biomedical Imaging Research Center, University of Fukui, Fukui 910-1193 (Japan)

    2009-02-15

    Introduction: Changes in glial metabolism in brain ischemia, Alzheimer's disease, depression, schizophrenia, epilepsy and manganese neurotoxicity have been reported in recent studies. Therefore, it is very important to measure glial metabolism in vivo for the elucidation and diagnosis of these diseases. Radiolabeled acetate is a good candidate for this purpose, but acetate has little uptake in the brain due to its low lipophilicity. We have designed a new proradiotracer, ethyl [{sup 18}F]fluoroacetate ([{sup 18}F]EFA), which is [{sup 18}F]fluoroacetate ([{sup 18}F]FA) esterified with ethanol, to increase the lipophilicity of fluoroacetate (FA), allowing the measurement of glial metabolism. Methods: The synthesis of [{sup 18}F]EFA was achieved using ethyl O-mesyl-glycolate as precursor. The blood-brain barrier permeability of ethyl [1-{sup 14}C]fluoroacetate ([{sup 14}C]EFA) was estimated by a brain uptake index (BUI) method. Hydrolysis of [{sup 14}C]EFA in the brain was calculated by the fraction of radioactivity in lipophilic and water fractions of homogenized brain. Using the plasma of five animal species, the stability of [{sup 14}C]EFA was measured. Biodistribution studies of [{sup 18}F]EFA in ddY mice were carried out and compared with [{sup 18}F]FA. Positron emission tomography (PET) scanning using common marmosets was performed for 90 min postadministration. At 60 min postinjection of [{sup 18}F]EFA, metabolite studies were performed. Organs were dissected from the marmosets, and extracted metabolites were analyzed with a thin-layer chromatography method. Results: The synthesis of [{sup 18}F]EFA was accomplished in a short time (29 min) and with a reproducible radiochemical yield of 28.6{+-}3.6% (decay corrected) and a high radiochemical purity of more than 95%. In the brain permeability study, the BUI of [{sup 14}C]EFA was 3.8 times higher than that of sodium [1-{sup 14}C]fluoroacetate. [{sup 14}C]EFA was hydrolyzed rapidly in rat brains. In stability

  9. Classification analysis of organization factors related to system safety

    International Nuclear Information System (INIS)

    Liu Huizhen; Zhang Li; Zhang Yuling; Guan Shihua

    2009-01-01

    This paper analyzes the different types of organization factors which influence the system safety. The organization factor can be divided into the interior organization factor and exterior organization factor. The latter includes the factors of political, economical, technical, law, social culture and geographical, and the relationships among different interest groups. The former includes organization culture, communication, decision, training, process, supervision and management and organization structure. This paper focuses on the description of the organization factors. The classification analysis of the organization factors is the early work of quantitative analysis. (authors)

  10. Measuring the Quality of Ecotourism Services

    Directory of Open Access Journals (Sweden)

    Nor’Aini Yusof

    2014-06-01

    Full Text Available Ecotourism forms the pillar of the country’s tourism industry. Ecotourists make up more than 10% of international tourists in Malaysia. When service quality is thought of as an important factor to the success of tourism service providers, the importance of estimating service quality provided to tourists becomes apparent. Estimating service quality provides tourism service providers with the necessary information needed to manage their marketing operations appropriately. Therefore, this estimation should be performed with the right measurement scales. Despite the high volume of research on service quality (SERVQUAL models in recent years, limited effort has been directed toward improving the tool for measuring service quality, particularly to apply to the ecotourism sector in developing countries. This article aims to improve a SERVQUAL model that is suitable for ecotourism areas in developing countries using five dimensions of the original model and one additional sustainability dimension. Based on a survey of 127 tourists in Tasik Kenyir, an exploratory factor analysis (EFA was conducted to discover the underlying dimension of ecotourism services and test for reliability and validity. Using EFA resulted in seven factors totaling 27 items. These factors are labeled as follows: tangible sustainability, sustainable practices, tangibility, reliability, responsiveness, assurance, and empathy. The results reveal that when SERVQUAL is applied within the ecotourism context, new dimensions of tangible sustainability and sustainable practices may emerge. The result implies the need to refine the SERVQUAL model when used in different contexts.

  11. Time Series Factor Analysis with an Application to Measuring Money

    NARCIS (Netherlands)

    Gilbert, Paul D.; Meijer, Erik

    2005-01-01

    Time series factor analysis (TSFA) and its associated statistical theory is developed. Unlike dynamic factor analysis (DFA), TSFA obviates the need for explicitly modeling the process dynamics of the underlying phenomena. It also differs from standard factor analysis (FA) in important respects: the

  12. Psychometric data of a questionnaire to measure cyberbullying bystander behavior and its behavioral determinants among adolescents

    Directory of Open Access Journals (Sweden)

    A. DeSmet

    2018-06-01

    Full Text Available .This paper describes the items, scale validity and scale reliability of a self-report questionnaire that measures bystander behavior in cyberbullying incidents among adolescents, and its behavioral determinants. Determinants included behavioral intention, behavioral attitudes, moral disengagement attitudes, outcome expectations, self-efficacy, subjective norm and social skills. Questions also assessed (cyber-bullying involvement. Validity and reliability information is based on a sample of 238 adolescents (M age=13.52 years, SD=0.57. Construct validity was assessed using Confirmatory Factor Analysis (CFA or Exploratory Factor Analysis (EFA in Mplus7 software. Reliability (Cronbach Alpha, α was assessed in SPSS, version 22. Data and questionnaire are included in this article. Further information can be found in DeSmet et al. (2018 [1].

  13. A comparison study on detection of key geochemical variables and factors through three different types of factor analysis

    Science.gov (United States)

    Hoseinzade, Zohre; Mokhtari, Ahmad Reza

    2017-10-01

    Large numbers of variables have been measured to explain different phenomena. Factor analysis has widely been used in order to reduce the dimension of datasets. Additionally, the technique has been employed to highlight underlying factors hidden in a complex system. As geochemical studies benefit from multivariate assays, application of this method is widespread in geochemistry. However, the conventional protocols in implementing factor analysis have some drawbacks in spite of their advantages. In the present study, a geochemical dataset including 804 soil samples collected from a mining area in central Iran in order to search for MVT type Pb-Zn deposits was considered to outline geochemical analysis through various fractal methods. Routine factor analysis, sequential factor analysis, and staged factor analysis were applied to the dataset after opening the data with (additive logratio) alr-transformation to extract mineralization factor in the dataset. A comparison between these methods indicated that sequential factor analysis has more clearly revealed MVT paragenesis elements in surface samples with nearly 50% variation in F1. In addition, staged factor analysis has given acceptable results while it is easy to practice. It could detect mineralization related elements while larger factor loadings are given to these elements resulting in better pronunciation of mineralization.

  14. Using BMDP and SPSS for a Q factor analysis.

    Science.gov (United States)

    Tanner, B A; Koning, S M

    1980-12-01

    While Euclidean distances and Q factor analysis may sometimes be preferred to correlation coefficients and cluster analysis for developing a typology, commercially available software does not always facilitate their use. Commands are provided for using BMDP and SPSS in a Q factor analysis with Euclidean distances.

  15. Determining if Borderline Personality Disorder and Bipolar Disorder Are Alternative Expressions of the Same Disorder: Results From the National Epidemiologic Survey on Alcohol and Related Conditions.

    Science.gov (United States)

    de la Rosa, Iris; Oquendo, María A; García, Gemma; Stanley, Barbara; González-Pinto, Ana; Liu, Shang-Min; Blanco, Carlos

    To examine whether bipolar disorder and borderline personality disorder represent 2 different disorders or alternative manifestations of the same disorder. The data were collected between January 1, 2004, and December 31, 2005. The analyses were conducted between December 21 and December 27, 2010. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were performed on 25 symptoms assessing depression, mania, and borderline personality disorder from the National Epidemiologic Survey on Alcohol and Related Conditions, a large nationally representative sample of the US adult population (N = 34,653). DSM-IV criteria were used for diagnosis of bipolar disorder and borderline personality disorder. A 3-factor solution provided an excellent fit in both the EFA (root mean square error of approximation [RMSEA] = 0.017, comparative fix index [CFI] = 0.997) and the CFA (RMSEA = 0.024, CFI = 0.993). Factor 1 (Borderline Personality Disorder) loaded on all 9 borderline personality disorder symptoms, factor 2 (Depression) loaded on 8 symptoms of depression, and factor 3 (Mania) loaded on 7 symptoms of mania plus the psychomotor agitation item of the depression section. The correlations between the Borderline Personality Disorder and Depression factors (r = 0.328) and between the Borderline Personality Disorder and Mania factors (r = 0.394) were lower than the correlation between Depression and Mania factors (r = 0.538). A model with 3 positively correlated factors provided an excellent fit for the latent structure of borderline personality disorder and bipolar disorder symptoms. The pattern of pairwise correlations between the 3 factors is consistent with the clinical presentation of 2 syndromes (depression and mania) that can be characterized as a unitary psychiatric entity (bipolar disorder) and a third syndrome (borderline personality disorder) that is often comorbid with bipolar disorder. The findings converge in suggesting that bipolar disorder and

  16. Exploring Technostress: Results of a Large Sample Factor Analysis

    Directory of Open Access Journals (Sweden)

    Steponas Jonušauskas

    2016-06-01

    Full Text Available With reference to the results of a large sample factor analysis, the article aims to propose the frame examining technostress in a population. The survey and principal component analysis of the sample consisting of 1013 individuals who use ICT in their everyday work was implemented in the research. 13 factors combine 68 questions and explain 59.13 per cent of the answers dispersion. Based on the factor analysis, questionnaire was reframed and prepared to reasonably analyze the respondents’ answers, revealing technostress causes and consequences as well as technostress prevalence in the population in a statistically validated pattern. A key elements of technostress based on factor analysis can serve for the construction of technostress measurement scales in further research.

  17. Cultural adaptation in measuring common client characteristics with an urban Mainland Chinese sample.

    Science.gov (United States)

    Song, Xiaoxia; Anderson, Timothy; Beutler, Larry E; Sun, Shijin; Wu, Guohong; Kimpara, Satoko

    2015-01-01

    This study aimed to develop a culturally adapted version of the Systematic Treatment Selection-Innerlife (STS) in China. A total of 300 nonclinical participants collected from Mainland China and 240 nonclinical US participants were drawn from archival data. A Chinese version of the STS was developed, using translation and back-translation procedures. After confirmatory factor analysis (CFA) of the original STS sub scales failed on both samples, exploratory factor analysis (EFA) was then used to access whether a simple structure would emerge on these STS treatment items. Parallel analysis and minimum average partial were used to determine the number of factor to retain. Three cross-cultural factors were found in this study, Internalized Distress, Externalized Distress and interpersonal relations. This supported that regardless of whether one is in presumably different cultural contexts of the USA or China, psychological distress is expressed in a few basic channels of internalized distress, externalized distress, and interpersonal relations, from which different manifestations in different culture were also discussed.

  18. Exploring Technostress: Results of a Large Sample Factor Analysis

    OpenAIRE

    Jonušauskas, Steponas; Raišienė, Agota Giedrė

    2016-01-01

    With reference to the results of a large sample factor analysis, the article aims to propose the frame examining technostress in a population. The survey and principal component analysis of the sample consisting of 1013 individuals who use ICT in their everyday work was implemented in the research. 13 factors combine 68 questions and explain 59.13 per cent of the answers dispersion. Based on the factor analysis, questionnaire was reframed and prepared to reasonably analyze the respondents’ an...

  19. Omega-3 fatty acids in schizophrenia Part II: Clinical applications

    Directory of Open Access Journals (Sweden)

    Róg Joanna

    2016-12-01

    Full Text Available Ω-3 unsaturated fatty acids are compounds belonging to the group of essential fatty acids (EFAs. The history of the discovery of EFAs dates back to the 1930s of the twentieth century, however, growing interest in ω-3 EFAs in the context of mental health has been observed since the year 2000. In view of their multidirectional action, these compounds are a promising form of adjunctive therapy of many illnesses, including psychiatric disorders. The present article aims to review the literature on the clinical applicability of ω-3 EFAs in treating schizophrenia. We present the results of preclinical studies in this area and the mechanisms of ω-3 EFAs action discussed by the authors. The randomized controlled trials (RCTs evaluating the possibility of using ω-3 EFAs in schizophrenia are characterized in detail. The results of the tests are not clear, which may result from the methodological diversity of interventions made. Ω-3 EFAs seem to be a promising form of adjunctive therapy of schizophrenia. Further research is needed, which will allow for defining groups of patients in which intervention will bring the expected results.

  20. Factor analysis improves the selection of prescribing indicators

    DEFF Research Database (Denmark)

    Rasmussen, Hanne Marie Skyggedal; Søndergaard, Jens; Sokolowski, Ineta

    2006-01-01

    OBJECTIVE: To test a method for improving the selection of indicators of general practitioners' prescribing. METHODS: We conducted a prescription database study including all 180 general practices in the County of Funen, Denmark, approximately 472,000 inhabitants. Principal factor analysis was us...... appropriate and inappropriate prescribing, as revealed by the correlation of the indicators in the first factor. CONCLUSION: Correlation and factor analysis is a feasible method that assists the selection of indicators and gives better insight into prescribing patterns....

  1. Inventory of Determinants of Obesity-Related Behaviors in Adolescents: Development and Psychometric Characteristics.

    Science.gov (United States)

    Amiri, Parisa; Ghofranipour, Fazlollah; Jalali-Farahani, Sara; Ahmadi, Fazlollah; Hosseinpanah, Farhad; Hooman, Haidar Ali; Parvin, Parnian; Ghasemi, Mohammadreza

    2015-07-01

    The rising prevalence of childhood obesity is a major health problem worldwide. Hence, there is a growing need for health professionals to become capable of assessing the factors that determine lifestyle in a culturally relevant manner. This study aimed to develop and assess a questionnaire for measuring determinants of obesity-related behaviors in Tehranian adolescents. Based on the results of a qualitative study and an extensive literature review, the 44-item "Inventory of determinants of obesity-related behaviors in adolescents (IDOBA)" with eight subscales was developed: 1) unhealthy nutrition and physical inactivity; 2) stress-related eating; 3) perceived inability; 4) perceived lack of threat; 5) perceived priority of educational achievement; 6) perceived acceptability; 7) motivation loss; and 8) lack of support. Validity of IDOBA was assessed, utilizing face, content, and construct validity methods. To confirm face validity, ten overweight/obese adolescents completed the questionnaire. To calculate content validity ratio (CVR) and content validity index (CVI), a different panel of ten experts commented independently on the necessity, relevance, clarity, and simplicity of each item. To assess construct validity using exploratory factor analysis (EFA), a total of 478 adolescents (57.7% male) aged 13 to 18 years, who were recruited from schools, participated in the study. Confirmatory factor analysis (CFA) was used to test whether the data fit the hypothesized measurement model that was derived from EFA. Test-retest and internal consistency methods were used to assess reliability of the IDOBA scale. All items were perceived as relevant and comprehendible by adolescents. Content validity was confirmed by the panel of experts. The internal consistency, as measured by Cronbach's alpha coefficients, exceeded the minimum reliability standard of 0.60 for eight subscales. No ceiling effects were observed. Detected floor effects ranged from 0.2% for perceived

  2. Measuring Parenting Practices among Parents of Elementary School-Age Youth

    Science.gov (United States)

    Randolph, Karen A.; Radey, Melissa

    2011-01-01

    Objectives: The objective of this study is to establish the factor structure of the Alabama Parenting Questionnaire (APQ), an instrument designed to measure parenting practices among parents of elementary school children. Methods: Exploratory (EFA) and confirmatory factor analytic (CFA) procedures are used to validate the APQ with 790 parents of…

  3. Human factors analysis of incident/accident report

    International Nuclear Information System (INIS)

    Kuroda, Isao

    1992-01-01

    Human factors analysis of accident/incident has different kinds of difficulties in not only technical, but also psychosocial background. This report introduces some experiments of 'Variation diagram method' which is able to extend to operational and managemental factors. (author)

  4. Nominal Performance Biosphere Dose Conversion Factor Analysis

    International Nuclear Information System (INIS)

    M.A. Wasiolek

    2005-01-01

    This analysis report is one of the technical reports containing documentation of the Environmental Radiation Model for Yucca Mountain, Nevada (ERMYN), a biosphere model supporting the Total System Performance Assessment (TSPA) for the license application (LA) for the Yucca Mountain repository. This analysis report describes the development of biosphere dose conversion factors (BDCFs) for the groundwater exposure scenario, and the development of conversion factors for assessing compliance with the groundwater protection standards. A graphical representation of the documentation hierarchy for the ERMYN is presented in Figure 1-1. This figure shows the interrelationships among the products (i.e., analysis and model reports) developed for biosphere modeling and provides an understanding of how this analysis report contributes to biosphere modeling. This report is one of two reports that develop BDCFs, which are input parameters for the TSPA-LA model. The ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) describes in detail the ERMYN conceptual model and mathematical model. The input parameter reports, shown to the right of the ''Biosphere Model Report'' in Figure 1-1, contain detailed description of the model input parameters, their development, and the relationship between the parameters and specific features events and processes (FEPs). This report describes biosphere model calculations and their output, the BDCFs, for the groundwater exposure scenario. This analysis receives direct input from the outputs of the ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) and the five analyses that develop parameter values for the biosphere model (BSC 2005 [DIRS 172827]; BSC 2004 [DIRS 169672]; BSC 2004 [DIRS 169673]; BSC 2004 [DIRS 169458]; BSC 2004 [DIRS 169459]). The results of this report are further analyzed in the ''Biosphere Dose Conversion Factor Importance and Sensitivity Analysis'' (Figure 1-1). The objectives of this analysis are to develop BDCFs for the

  5. Analysis of technological, institutional and socioeconomic factors ...

    African Journals Online (AJOL)

    Analysis of technological, institutional and socioeconomic factors that influences poor reading culture among secondary school students in Nigeria. ... Proliferation and availability of smart phones, chatting culture and social media were identified as technological factors influencing poor reading culture among secondary ...

  6. Development of a theory-based questionnaire to assess structure and control in parent feeding (SCPF).

    Science.gov (United States)

    Savage, Jennifer S; Rollins, Brandi Y; Kugler, Kari C; Birch, Leann L; Marini, Michele E

    2017-01-26

    Parents shape children's eating environments and act as powerful socialization agents, impacting young children's behavioral controls of food intake. Most feeding measures assess parents' use of control to manage children's intake of energy dense foods. The Structure and Control in Parent Feeding (SCPF) questionnaire was developed to assess more positive aspects of feeding practices with their young children -setting limits, providing routines-that promote self-regulation, as well as controlling feeding practices. A mixed method approach was used to develop the SCPF. In 2013, cognitive interviews informed the modification, deletion and/or replacement of items. In 2014, the survey was distributed statewide to mothers of toddlers aged 12 to 36 months participating in the Women, Infants, and Children program. In 2016, exploratory factor analyses was conducted to test our theoretical parenting model and content validity and criterion validity were assessed (n = 334). Exploratory factor analysis (EFA) and second-order EFA revealed a 2-factor, 22-item Structure model and a 2-factor, 12-item Control model. Internal consistencies for all factors exceeded 0.70. As predicted, the Structure superfactor was positivity associated with responsiveness, whereas the Control superfactor was positively associated with demandingness on the Caregiver's Feeding Styles Questionnaire. The Structure subscales were also positively associated with mealtime behaviors and Control subscales were positively associated with control-oriented feeding measures from the Control in Parent Feeding Practices questionnaire. The SCPF questionnaire is a reliable tool that can be used to assess aspects of structure- and control-based feeding practices to better understand how parents feed their toddlers.

  7. Exploratory Analysis of the Factors Affecting Consumer Choice in E-Commerce: Conjoint Analysis

    Directory of Open Access Journals (Sweden)

    Elena Mazurova

    2017-05-01

    Full Text Available According to previous studies of online consumer behaviour, three factors are the most influential on purchasing behavior - brand, colour and position of the product on the screen. However, a simultaneous influence of these three factors on the consumer decision making process has not been investigated previously. In this particular work we aim to execute a comprehensive study of the influence of these three factors. In order to answer our main research questions, we conducted an experiment with 96 different combinations of the three attributes, and using statistical analysis, such as conjoint analysis, t-test analysis and Kendall analysis we identified that the most influential factor to the online consumer decision making process is brand, the second most important attribute is the colour, which was estimated half as important as brand, and the least important attribute is the position on the screen. Additionally, we identified the main differences regarding consumers stated and revealed preferences regarding these three attributes.

  8. A factor analysis to find critical success factors in retail brand

    Directory of Open Access Journals (Sweden)

    Naser Azad

    2013-03-01

    Full Text Available The present exploratory study aims to find critical components of retail brand among some retail stores. The study seeks to build a brand name in retail level and looks to find important factors affecting it. Customer behavior is largely influenced when the first retail customer experience is formed. These factors have direct impacts on customer experience and satisfaction in retail industry. The proposed study performs an empirical investigation on two well-known retain stores located in city of Tehran, Iran. Using a sample of 265 people from regular customers, the study uses factor analysis and extracts four main factors including related brand, product benefits, customer welfare strategy and corporate profits using the existing 31 factors in the literature.

  9. FOOD CHOICE MOTIVES OF JUICES’ CONSUMERS – PILOT STUDIES

    Directory of Open Access Journals (Sweden)

    Katarzyna Włodarska

    2015-12-01

    Full Text Available The aim of this study was to evaluate the food choice motives of consumers. Preliminary studies were carried out on a group of 96 consumers of juices based on the Food Choice Questionnaire. It is a tool, which enables the systematic measurement of the importance of diff erent food choices. The confi rmatory (CFA and exploratory factor analysis (EFA and hierarchical cluster analysis (HCA methods were used for analysis of data. The results of factor analysis revealed 12 new groups of factors determining the choice of food. The most important factors infl uencing selection of food were: taste, worth the money and a positive eff ect on external appearance. Using hierarchical cluster analysis three segments of consumer were identifi ed, with diff erent attitudes towards food choices: engaged – enthusiasts of healthy nutrition, indiff erent – not attaching attention to what they eat and practical – focused on the price and availability of products. Segmentation of consumers with similar attitudes towards choice of food can help the producers in precise targeting of marketing messages to a selected group of consumers.

  10. Construct Validity of the Chinese Version of the Activities of Daily Living Rating Scale III in Patients with Schizophrenia.

    Directory of Open Access Journals (Sweden)

    En-Chi Chiu

    Full Text Available The Chinese version of the Activities of Daily Living Rating Scale III (ADLRS-III, which has 10 domains, is commonly used for assessing activities of daily living (ADL in patients with schizophrenia. However, construct validity (i.e., unidimensionality for each domain of the ADLRS-III is unknown, limiting the explanations of the test results.This main purpose of this study was to examine unidimensionality of each domain in the ADLRS-III. We also examined internal consistency and ceiling/floor effects in patients with schizophrenia.From occupational therapy records, we obtained 304 self-report data of the ADLRS-III. Confirmatory factor analysis (CFA was conducted to examine the 10 one-factor structures. If a domain showed an insufficient model fit, exploratory factor analysis (EFA was performed to investigate the factor structure and choose one factor representing the original construct. Internal consistency was examined using Cronbach's alpha (α. Ceiling and floor effects were determined by the percentage of patients with the maximum and minimum scores in each domain, respectively.CFA analyses showed that 4 domains (i.e., leisure, picture recognition, literacy ability, communication tools use had sufficient model fits. These 4 domains had acceptable internal consistency (α = 0.79-0.87 and no ceiling/floor effects, except the leisure domain which had a ceiling effect. The other 6 domains showed insufficient model fits. The EFA results showed that these 6 domains were two-factor structures.The results supported unidimensional constructs of the leisure, picture recognition, literacy ability, and communication tool uses domains. The sum scores of these 4 domains can be used to represent their respective domain-specific functions. Regarding the 6 domains with insufficient model fits, we have explained the two factors of each domain and chosen one factor to represent its original construct. Future users may use the items from the chosen factors to

  11. Factor analysis for exercise stress radionuclide ventriculography

    International Nuclear Information System (INIS)

    Hirota, Kazuyoshi; Yasuda, Mitsutaka; Oku, Hisao; Ikuno, Yoshiyasu; Takeuchi, Kazuhide; Takeda, Tadanao; Ochi, Hironobu

    1987-01-01

    Using factor analysis, a new image processing in exercise stress radionuclide ventriculography, changes in factors associated with exercise were evaluated in 14 patients with angina pectoris or old myocardial infarction. The patients were imaged in the left anterior oblique projection, and three factor images were presented on a color coded scale. Abnormal factors (AF) were observed in 6 patients before exercise, 13 during exercise, and 4 after exercise. In 7 patients, the occurrence of AF was associated with exercise. Five of them became free from AF after exercise. Three patients showing AF before exercise had aggravation of AF during exercise. Overall, the occurrence or aggravation of AF was associated with exercise in ten (71 %) of the patients. The other three patients, however, had disappearance of AF during exercise. In the last patient, none of the AF was observed throughout the study. In view of a high incidence of AF associated with exercise, the factor analysis may have the potential in evaluating cardiac reverse from the viewpoint of left ventricular wall motion abnormality. (Namekawa, K.)

  12. Nominal Performance Biosphere Dose Conversion Factor Analysis

    Energy Technology Data Exchange (ETDEWEB)

    M.A. Wasiolek

    2003-07-25

    This analysis report is one of the technical reports containing documentation of the Environmental Radiation Model for Yucca Mountain, Nevada (ERMYN), a biosphere model supporting the Total System Performance Assessment (TSPA) for the license application (LA) for the Yucca Mountain repository. This analysis report describes the development of biosphere dose conversion factors (BDCFs) for the groundwater exposure scenario, and the development of conversion factors for assessing compliance with the groundwater protection standard. A graphical representation of the documentation hierarchy for the ERMYN is presented in Figure 1-1. This figure shows the interrelationships among the products (i.e., analysis and model reports) developed for biosphere modeling and provides an understanding of how this analysis report contributes to biosphere modeling. This report is one of two reports that develop biosphere BDCFs, which are input parameters for the TSPA model. The ''Biosphere Model Report'' (BSC 2003 [DIRS 164186]) describes in detail the ERMYN conceptual model and mathematical model. The input parameter reports (BSC 2003 [DIRS 160964]; BSC 2003 [DIRS 160965]; BSC 2003 [DIRS 160976]; BSC 2003 [DIRS 161239]; BSC 2003 [DIRS 161241]) contain detailed description of the model input parameters. This report describes biosphere model calculations and their output, the BDCFs, for the groundwater exposure scenario. The objectives of this analysis are to develop BDCFs and conversion factors for the TSPA. The BDCFs will be used in performance assessment for calculating annual doses for a given concentration of radionuclides in groundwater. The conversion factors will be used for calculating gross alpha particle activity in groundwater and the annual dose from beta- and photon-emitting radionuclides.

  13. Hospital-based child protection teams that care for parents who abuse or neglect their children recognize the need for multidisciplinary collaborative practice involving perinatal care and mental health professionals: a questionnaire survey conducted in Japan.

    Science.gov (United States)

    Okato, Ayumi; Hashimoto, Tasuku; Tanaka, Mami; Tachibana, Masumi; Machizawa, Akira; Okayama, Jun; Endo, Mamiko; Senda, Masayoshi; Saito, Naoki; Iyo, Masaomi

    2018-01-01

    Child abuse and/or neglect is a serious issue, and in many cases, parents are the perpetrators. Hospital-based child protection teams (CPTs) play pivotal roles in the management of not only abused and/or neglected children but also of their parents; this is generally conducted through multidisciplinary practice. The aim of this study is to survey hospital-based CPT members to determine the professions they perceive to be most applicable to participation in CPTs. The participants were members of CPTs affiliated with hospitals that had pediatric emergency departments and which were located in Chiba Prefecture; specifically, 114 CPT members from 23 hospitals responded to this survey. The two main questionnaire items concerned are as follows: 1) each respondent's evaluation of conducting assessments, providing support, and implementing multidisciplinary collaborative practice in the treatment of abusive and negligent parents, and 2) each CPT member's opinion on the professions that are most important for CPT activities. An exploratory factor analysis (EFA) was performed to explore the factor structure of the data, and a correlation analysis was performed using the result obtained. The EFA returned two factors: multidisciplinary collaborative practice (α = 0.84) and assessment and support (α = 0.89). A correlational analysis showed that multidisciplinary collaborative practice had a positive correlation for obstetricians ( r = 0.315, p = 0.001), neonatologists ( r = 0.261, p = 0.007), midwives ( r = 0.248, p = 0.011), and psychiatrists ( r = 0.194, p = 0.048); however, assessment and support was only significantly correlated with midwives ( r = 0.208, p = 0.039). This study showed that hospital-based CPT members highly evaluate multidisciplinary collaborative practice for the management of abusive and/or negligent parents, and they believe that, in addition to pediatric physicians and nurses, perinatal care and mental health professionals are the most important

  14. Hand function evaluation: a factor analysis study.

    Science.gov (United States)

    Jarus, T; Poremba, R

    1993-05-01

    The purpose of this study was to investigate hand function evaluations. Factor analysis with varimax rotation was used to assess the fundamental characteristics of the items included in the Jebsen Hand Function Test and the Smith Hand Function Evaluation. The study sample consisted of 144 subjects without disabilities and 22 subjects with Colles fracture. Results suggest a four factor solution: Factor I--pinch movement; Factor II--grasp; Factor III--target accuracy; and Factor IV--activities of daily living. These categories differentiated the subjects without Colles fracture from the subjects with Colles fracture. A hand function evaluation consisting of these four factors would be useful. Such an evaluation that can be used for current clinical purposes is provided.

  15. Salivary SPECT and factor analysis in Sjoegren's syndrome

    International Nuclear Information System (INIS)

    Nakamura, T.; Oshiumi, Y.; Yonetsu, K.; Muranaka, T.; Sakai, K.; Kanda, S.; National Fukuoka Central Hospital

    1991-01-01

    Salivary SPECT and factor analysis in Sjoegren's syndrome were performed in 17 patients and 6 volunteers as controls. The ability of SPECT to detect small differences in the level of uptake can be used to separate glands from background even when uptake is reduced as in the patients with Sjoegren's syndrome. In control and probable Sjoegren's syndrome groups the uptake ratio of the submandibular gland to parotid gland on salivary SPECT (S/P ratio) was less than 1.0. However, in the definite Sjoergren's syndrome group, the ratio was more than 1.0. Moreover, the ratio in all patients with sialectasia, which is characteristic of Sjoegren's syndrome, was more than 1.0. Salivary factor analysis of normal parotid glands showed slowly increasing patterns of uptake and normal submandibular glands had rapidly increasing patterns of uptake. However, in the definite Sjoegren's syndrome group, the factor analysis patterns were altered, with slowly increasing patterns dominating both in the parotid and submandibular glands. These results suggest that the S/P ratio in salivary SPECT and salivary factor analysis provide additional radiologic criteria in diagnosing Sjoegren's syndrome. (orig.)

  16. Single-slice epicardial fat area measurement. Do we need to measure the total epicardial fat volume?

    International Nuclear Information System (INIS)

    Oyama, Noriko; Goto, Daisuke; Ito, Yoichi M.

    2011-01-01

    The aim of this study was to assess a method for measuring epicardial fat volume (EFV) by means of a single-slice area measurement. We investigated the relation between a single-slice fat area measurement and total EFV. A series of 72 consecutive patients (ages 65±11 years; 36 men) who had undergone cardiac computed tomography (CT) on a 64-slice multidetector scanner with prospective electrocardiographic triggering were retrospectively reviewed. Pixels in the pericardium with a density range from -230 to -30 Hounsfield units were considered fat, giving the per-slice epicardial fat area (EFA). The EFV was estimated by the summation of EFAs multiplied by the slice thickness. We investigated the relation between total EFV and each EFA. EFAs measured at several anatomical landmarks - right pulmonary artery, origins of the left main coronary artery, right coronary artery, coronary sinus - all correlated with the EFV (r=0.77-0.92). The EFA at the LMCA level was highly reproducible and showed an excellent correlation with the EFV (r=0.92). The EFA is significantly correlated with the EFV. The EFA is a simple, quick method for representing the time-consuming EFV, which has been used as a predictive indicator of cardiovascular diseases. (author)

  17. Using exploratory factor analysis in personality research: Best-practice recommendations

    Directory of Open Access Journals (Sweden)

    Sumaya Laher

    2010-11-01

    Research purpose: This article presents more objective methods to determine the number of factors, most notably parallel analysis and Velicer’s minimum average partial (MAP. The benefits of rotation are also discussed. The article argues for more consistent use of Procrustes rotation and congruence coefficients in factor analytic studies. Motivation for the study: Exploratory factor analysis is often criticised for not being rigorous and objective enough in terms of the methods used to determine the number of factors, the rotations to be used and ultimately the validity of the factor structure. Research design, approach and method: The article adopts a theoretical stance to discuss the best-practice recommendations for factor analytic research in the field of psychology. Following this, an example located within personality assessment and using the NEO-PI-R specifically is presented. A total of 425 students at the University of the Witwatersrand completed the NEO-PI-R. These responses were subjected to a principal components analysis using varimax rotation. The rotated solution was subjected to a Procrustes rotation with Costa and McCrae’s (1992 matrix as the target matrix. Congruence coefficients were also computed. Main findings: The example indicates the use of the methods recommended in the article and demonstrates an objective way of determining the number of factors. It also provides an example of Procrustes rotation with coefficients of agreement as an indication of how factor analytic results may be presented more rigorously in local research. Practical/managerial implications: It is hoped that the recommendations in this article will have best-practice implications for both researchers and practitioners in the field who employ factor analysis regularly. Contribution/value-add: This article will prove useful to all researchers employing factor analysis and has the potential to set the trend for better use of factor analysis in the South African context.

  18. Nominal Performance Biosphere Dose Conversion Factor Analysis

    Energy Technology Data Exchange (ETDEWEB)

    M.A. Wasiolek

    2005-04-28

    This analysis report is one of the technical reports containing documentation of the Environmental Radiation Model for Yucca Mountain, Nevada (ERMYN), a biosphere model supporting the Total System Performance Assessment (TSPA) for the license application (LA) for the Yucca Mountain repository. This analysis report describes the development of biosphere dose conversion factors (BDCFs) for the groundwater exposure scenario, and the development of conversion factors for assessing compliance with the groundwater protection standards. A graphical representation of the documentation hierarchy for the ERMYN is presented in Figure 1-1. This figure shows the interrelationships among the products (i.e., analysis and model reports) developed for biosphere modeling and provides an understanding of how this analysis report contributes to biosphere modeling. This report is one of two reports that develop BDCFs, which are input parameters for the TSPA-LA model. The ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) describes in detail the ERMYN conceptual model and mathematical model. The input parameter reports, shown to the right of the ''Biosphere Model Report'' in Figure 1-1, contain detailed description of the model input parameters, their development, and the relationship between the parameters and specific features events and processes (FEPs). This report describes biosphere model calculations and their output, the BDCFs, for the groundwater exposure scenario. This analysis receives direct input from the outputs of the ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) and the five analyses that develop parameter values for the biosphere model (BSC 2005 [DIRS 172827]; BSC 2004 [DIRS 169672]; BSC 2004 [DIRS 169673]; BSC 2004 [DIRS 169458]; BSC 2004 [DIRS 169459]). The results of this report are further analyzed in the ''Biosphere Dose Conversion Factor Importance and Sensitivity Analysis

  19. Development and validation of college students' tuberculosis knowledge, attitudes and practices questionnaire (CS-TBKAPQ).

    Science.gov (United States)

    Jiang, Hualin; Zhang, Shaoru; Ding, Yi; Li, Yuelu; Zhang, Tianhua; Liu, Weiping; Fan, Yahui; Li, Yan; Zhang, Rongqiang; Ma, Xuexue

    2017-12-12

    China faces many challenges in controlling tuberculosis (TB). One significant challenge is the control of college students' TB. In particular, cross-sectional studies of college students' knowledge, attitudes and practices (KAP) in regard to TB have attracted substantial attention. However, few measurement tools have been developed to aid processes related to expert consultation, pre-testing, reliability and validity testing. Our study developed the College Students' TB Knowledge Attitudes and Practices Questionnaire (CS-TBKAPQ) following the scale development steps. The construction of the CS-TBKAPQ was based on the Theory of Knowledge, Attitude, Belief, and Practice (KABP or KAP). The item pool was compiled from literature reviews and individual interviews. The reliability validation was assessed by calculating Cronbach's α coefficient, the split-half reliability coefficient, and the test-retest reliability coefficient. Construct validity was assessed using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). The diagnostic accuracy was evaluated using the World Health Organization Advocacy, Communication and Social Mobilization KAP Survey Questionnaire (WHO-TBKAPQ) as the reference standard. A total of 31 questionnaire items were proposed. Cronbach's α coefficient, the split-half reliability coefficient and the test-retest reliability coefficient were 0.86, 0.78 and 0.91. Four factors that explained 62.52% of the total variance were also identified in EFA and confirmed in CFA. The CFA model fit indices were x 2 /df = 1.82 (p students with low-level KAP. The positive and negative predictive values were 83.23% and 69.91%. The findings of this study demonstrate that the CS-TBKAPQ is a reliable and valid tool for measuring the KAP towards TB in college students.

  20. Development and Validation of the Food Liking Questionnaire in a French-Canadian Population

    Science.gov (United States)

    Carbonneau, Elise; Bradette-Laplante, Maude; Lamarche, Benoît; Provencher, Véronique; Bégin, Catherine; Robitaille, Julie; Desroches, Sophie; Corneau, Louise; Lemieux, Simone

    2017-01-01

    The purpose of this study was to develop and validate a questionnaire assessing food liking in a French-Canadian population. A questionnaire was developed, in which participants were asked to rate their degree of liking of 50 food items. An expert panel evaluated the content validity. For the validation study, 150 men and women completed the questionnaire twice. An Exploratory Factor Analysis (EFA) was performed to assess the number of subscales of the questionnaire. Internal consistency and test-retest reliability of the subscales were evaluated. Concurrent validity was assessed through correlations between liking scores and self-reported frequencies of consumption. Comments from the experts led to changes in the list of foods included in the questionnaire. The EFA revealed a two-factor structure for the questionnaire (i.e., savory and sweet foods) and led to the removal of nine items, resulting in a 32-item questionnaire. The two subscales revealed good internal consistency (Cronbach alphas: 0.85 and 0.89) and test-retest reliability (p = 0.84 and 0.86). The questionnaire demonstrated adequate concurrent validity, with moderate correlations between food liking and self-reported frequency of consumption (r = 0.19–0.39, ps < 0.05). This new Food Liking Questionnaire assessing liking of a variety of savory and sweet foods demonstrated good psychometric properties in every validation step. This questionnaire will be useful to explore the role of food liking and its interactions with other factors in predicting eating behaviors and energy intake. PMID:29292754

  1. Development and Validation of the Food Liking Questionnaire in a French-Canadian Population.

    Science.gov (United States)

    Carbonneau, Elise; Bradette-Laplante, Maude; Lamarche, Benoît; Provencher, Véronique; Bégin, Catherine; Robitaille, Julie; Desroches, Sophie; Vohl, Marie-Claude; Corneau, Louise; Lemieux, Simone

    2017-12-08

    The purpose of this study was to develop and validate a questionnaire assessing food liking in a French-Canadian population. A questionnaire was developed, in which participants were asked to rate their degree of liking of 50 food items. An expert panel evaluated the content validity. For the validation study, 150 men and women completed the questionnaire twice. An Exploratory Factor Analysis (EFA) was performed to assess the number of subscales of the questionnaire. Internal consistency and test-retest reliability of the subscales were evaluated. Concurrent validity was assessed through correlations between liking scores and self-reported frequencies of consumption. Comments from the experts led to changes in the list of foods included in the questionnaire. The EFA revealed a two-factor structure for the questionnaire (i.e., savory and sweet foods) and led to the removal of nine items, resulting in a 32-item questionnaire. The two subscales revealed good internal consistency (Cronbach alphas: 0.85 and 0.89) and test-retest reliability ( p = 0.84 and 0.86). The questionnaire demonstrated adequate concurrent validity, with moderate correlations between food liking and self-reported frequency of consumption ( r = 0.19-0.39, p s Food Liking Questionnaire assessing liking of a variety of savory and sweet foods demonstrated good psychometric properties in every validation step. This questionnaire will be useful to explore the role of food liking and its interactions with other factors in predicting eating behaviors and energy intake.

  2. Factor Analysis for Clustered Observations.

    Science.gov (United States)

    Longford, N. T.; Muthen, B. O.

    1992-01-01

    A two-level model for factor analysis is defined, and formulas for a scoring algorithm for this model are derived. A simple noniterative method based on decomposition of total sums of the squares and cross-products is discussed and illustrated with simulated data and data from the Second International Mathematics Study. (SLD)

  3. Psychometric Properties of a Screening Instrument for Domestic Violence in a Sample of Iranian Women

    Science.gov (United States)

    Azadarmaki, Taghi; Kassani, Aziz; Menati, Rostam; Hassanzadeh, Jafar; Menati, Walieh

    2016-01-01

    Background Domestic violence against women is regarded as an important health problem among women and a serious concern in issues related to human rights. To date, a few screening tools for domestic violence exist for Iranian married women, but they assess only some of the domestic violence components. Objectives The present study aimed to design and determine the validity and reliability of a screening instrument for domestic violence in a sample of Iranian women. Materials and Methods The present study was a cross-sectional psychometric evaluation conducted on 350 married women in Ilam, Iran, in 2014. The samples were selected through multistage sampling and the main method was cluster sampling. A 20-item, self-administered questionnaire was validated by exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). An Eigen value > 1 and a loading factor > 0.3 for each component were considered as indices for extracting domestic violence components. Reliability was calculated by test-retest and Cronbach’s alpha. Also, the content validity index (CVI) and content validity ratio (CVR) were used to measure content validity. The data were analyzed using SPSS-13 and LISREL 8.8 software programs. Results The self-administered instrument was completed by 334 women. The CFA and EFA methods confirmed embedding items and the three-factor structure of the instrument including psychological, physical, and sexual violence, which explained 66% of the total variance of the domestic violence. The ICC and Cronbach’s alpha coefficients were > 0.7 for the components of the questionnaire. The test-retest also revealed strong correlations for each of the domestic violence components (r > 0.6). Conclusions The used instrument for measuring domestic violence had desirable validity and reliability and can be used as a suitable instrument in health and social researches in the local population. PMID:27331052

  4. Cross-cultural adaptation, validity, and reliability of the Persian version of the spine functional index.

    Science.gov (United States)

    Mokhtarinia, Hamid Reza; Hosseini, Azadeh; Maleki-Ghahfarokhi, Azam; Gabel, Charles Philip; Zohrabi, Majid

    2018-05-15

    There are various instruments and methods to evaluate spinal health and functional status. Whole-spine patient reported outcome (PRO) measures, such as the Spine Functional Index (SFI), assess the spine from the cervical to lumbo-sacral sections as a single kinetic chain. The aim of this study was to cross-culturally adapt the SFI for Persian speaking patients (SFI-Pr) and determine the psychometric properties of reliability and validity (convergent and construct) in a Persian patient population. The SFI (English) PRO was translated into Persian according to published guidelines. Consecutive symptomatic spine patients (104 female and 120 male aged between 18 and 60) were recruited from three Iranian physiotherapy centers. Test-retest reliability was performed in a sub-sample (n = 31) at baseline and repeated between days 3-7. Convergent validity was determined by calculating the Pearson's r correlation coefficient between the SFI-Pr and the Persian Roland Morris Questionnaire (RMQ) for back pain patients and the Neck Disability Index (NDI) for neck patients. Internal consistency was assessed using Cronbach's α. Exploratory Factor Analysis (EFA) used Maximum Likelihood Extraction followed by Confirmatory Factor Analysis (CFA). High levels of internal consistency (α = 0.81, item range = 0.78-0.82) and test-retest reliability (r = 0.96, item range = 0.83-0.98) were obtained. Convergent validity was very good between the SFI and RMQ (r = 0.69) and good between the SFI and NDI (r = 0.57). The EFA from the perspective of parsimony suggests a one-factor solution that explained 26.5% of total variance. The CFA was inconclusive of the one factor structure as the sample size was inadequate. There were no floor or ceiling effects. The SFI-Pr PRO can be applied as a specific whole-spine status assessment instrument for clinical and research studies in Persian language populations.

  5. Cross-cultural examination of the structure of the Revised American Pain Society Patient Outcome Questionnaire (APS-POQ-R).

    Science.gov (United States)

    Botti, Mari; Khaw, Damien; Jørgensen, Emmy Brandt; Rasmussen, Bodil; Hunter, Susan; Redley, Bernice

    2015-08-01

    This study investigated the cross-cultural factor stability and internal consistency of the Revised American Pain Society Patient Outcome Questionnaire (APS-POQ-R), a measure of the quality of postoperative pain management used internationally. We conducted exploratory factor analysis (EFA) of APS-POQ-R data from 2 point prevalence studies comprising 268 and 311 surveys of Danish and Australian medical-surgical patients, respectively. Parallel analysis indicated 4- and 3-factor solutions for Danish and Australian patients, respectively, which accounted for 58.1% and 52.9% of variance. Internal consistency was unsatisfactory among both Danish (Cronbach α = .54) and Australian (Cronbach α = .63) cohorts. There was a high degree of between-group similarity in item-factor loadings of variables coded as "pain experience," but not "pain management." This finding reflected cross-cultural differences in ratings of treatment satisfaction. For Danish patients, satisfaction was associated with the degree of pain severity and activity interference, whereas for Australian patients, satisfaction was associated with their perceived ability to participate in treatment. To facilitate further cross-cultural comparison, we compared our findings with past research conducted in the United States and Iceland. EFA supported the construct validity of the APS-POQ-R as a measure of "pain experience" but indicated that items measuring "pain management" may vary cross-culturally. Findings highlighted the need for further validation of the APS-POQ-R internationally. This study revealed the APS-POQ-R as a valid measure of postoperative pain experience for Danish and Australian patients. Measures of patients' perception of pain management were not robust to group differences in treatment expectations and demonstrated cross-cultural instability. Results highlighted the difficulties in establishing stable cross-cultural, cross-population subscales for the APS-POQ-R. Copyright © 2015

  6. PREVENTION OF ZERO DAY VULNERABILITY IN NETWORK USING ENSEMBLE FUZZY ASSOCIATION AND CUTTLE FISH

    Directory of Open Access Journals (Sweden)

    M Masthan

    2017-06-01

    Full Text Available The data communication between different parts of the universe is managed by the computer networks and the Enterprise Information System (EIS which rely on them. The privacy and security are the most important factor to be maintained in any network systems. This paper deals about the detection of intrusion attack in the eclipse database using Ensemble fuzzy association (EFA and Cuttle Fish Algorithm (CFA. The proposed methodology creates a rule-based ensemble model for network diversity metric modeling for the efficient detection of zeroday attacks and to reduce the time consumption. The simulation result shows that the EFA and CFA having efficient detection rates as compared to the existing systems.

  7. Analysis and optimization of the TWINKLE factoring device

    NARCIS (Netherlands)

    Lenstra, A.K.; Shamir, A.; Preneel, B.

    2000-01-01

    We describe an enhanced version of the TWINKLE factoring device and analyse to what extent it can be expected to speed up the sieving step of the Quadratic Sieve and Number Field Sieve factoring al- gorithms. The bottom line of our analysis is that the TWINKLE-assisted factorization of 768-bit

  8. Nominal Performance Biosphere Dose Conversion Factor Analysis

    Energy Technology Data Exchange (ETDEWEB)

    M. Wasiolek

    2004-09-08

    This analysis report is one of the technical reports containing documentation of the Environmental Radiation Model for Yucca Mountain, Nevada (ERMYN), a biosphere model supporting the Total System Performance Assessment (TSPA) for the license application (LA) for the Yucca Mountain repository. This analysis report describes the development of biosphere dose conversion factors (BDCFs) for the groundwater exposure scenario, and the development of conversion factors for assessing compliance with the groundwater protection standard. A graphical representation of the documentation hierarchy for the ERMYN is presented in Figure 1-1. This figure shows the interrelationships among the products (i.e., analysis and model reports) developed for biosphere modeling and provides an understanding of how this analysis report contributes to biosphere modeling. This report is one of two reports that develop biosphere BDCFs, which are input parameters for the TSPA-LA model. The ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) describes in detail the ERMYN conceptual model and mathematical model. The input parameter reports, shown to the right of the ''Biosphere Model Report'' in Figure 1-1, contain detailed description of the model input parameters, their development, and the relationship between the parameters and specific features events and processes (FEPs). This report describes biosphere model calculations and their output, the BDCFs, for the groundwater exposure scenario. The objectives of this analysis are to develop BDCFs for the groundwater exposure scenario for the three climate states considered in the TSPA-LA as well as conversion factors for evaluating compliance with the groundwater protection standard. The BDCFs will be used in performance assessment for calculating all-pathway annual doses for a given concentration of radionuclides in groundwater. The conversion factors will be used for calculating gross alpha particle

  9. Nominal Performance Biosphere Dose Conversion Factor Analysis

    International Nuclear Information System (INIS)

    M. Wasiolek

    2004-01-01

    This analysis report is one of the technical reports containing documentation of the Environmental Radiation Model for Yucca Mountain, Nevada (ERMYN), a biosphere model supporting the Total System Performance Assessment (TSPA) for the license application (LA) for the Yucca Mountain repository. This analysis report describes the development of biosphere dose conversion factors (BDCFs) for the groundwater exposure scenario, and the development of conversion factors for assessing compliance with the groundwater protection standard. A graphical representation of the documentation hierarchy for the ERMYN is presented in Figure 1-1. This figure shows the interrelationships among the products (i.e., analysis and model reports) developed for biosphere modeling and provides an understanding of how this analysis report contributes to biosphere modeling. This report is one of two reports that develop biosphere BDCFs, which are input parameters for the TSPA-LA model. The ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) describes in detail the ERMYN conceptual model and mathematical model. The input parameter reports, shown to the right of the ''Biosphere Model Report'' in Figure 1-1, contain detailed description of the model input parameters, their development, and the relationship between the parameters and specific features events and processes (FEPs). This report describes biosphere model calculations and their output, the BDCFs, for the groundwater exposure scenario. The objectives of this analysis are to develop BDCFs for the groundwater exposure scenario for the three climate states considered in the TSPA-LA as well as conversion factors for evaluating compliance with the groundwater protection standard. The BDCFs will be used in performance assessment for calculating all-pathway annual doses for a given concentration of radionuclides in groundwater. The conversion factors will be used for calculating gross alpha particle activity in groundwater and the annual dose

  10. Attitudes Toward Transgender Men and Women: Development and Validation of a New Measure

    Directory of Open Access Journals (Sweden)

    Thomas J Billard

    2018-04-01

    Full Text Available A series of three studies were conducted to generate, develop, and validate the Attitudes toward Transgender Men and Women (ATTMW scale. In Study 1, 120 American adults responded to an open-ended questionnaire probing various dimensions of their perceptions of transgender individuals and identity. Qualitative thematic analysis generated 200 items based on their responses. In Study 2, 238 American adults completed a questionnaire consisting of the generated items. Exploratory factor analysis (EFA revealed two non-identical 12-item subscales (ATTM and ATTW of the full 24-item scale. In Study 3, 150 undergraduate students completed a survey containing the ATTMW and a number of validity-testing variables. Confirmatory factor analysis (CFA verified the single-factor structures of the ATTM and ATTW subscales, and the convergent, discriminant, predictive, and concurrent validities of the ATTMW were also established. Together, our results demonstrate that the ATTMW is a reliable and valid measure of attitudes toward transgender individuals.

  11. The Future of Education for All as a Global Regime of Educational Governance

    Science.gov (United States)

    Tikly, Leon

    2017-01-01

    The article considers the future of Education for All (EFA) understood as a global regime of educational governance. The article sets out an understanding of global governance, world order, power, and legitimacy within which EFA is embedded. It explains what is meant by EFA as a regime of global governance and as part of a "regime…

  12. Essential Fatty Acids and Attention-Deficit-Hyperactivity Disorder: A Systematic Review

    Science.gov (United States)

    Raz, Raanan; Gabis, Lidia

    2009-01-01

    Aim: Essential fatty acids (EFAs), also known as omega-3 and omega-6 fatty acids, have been claimed to have beneficial effects as a treatment for attention-deficit-hyperactivity disorder (ADHD). Animal experiments have provided information about the role of EFA in the brain, and several mechanisms of EFA activity are well known. The current review…

  13. Construct validity of the psychological general well being index (PGWBI in a sample of patients undergoing treatment for stress-related exhaustion: a rasch analysis

    Directory of Open Access Journals (Sweden)

    Lundgren-Nilsson Åsa

    2013-01-01

    Full Text Available Abstract Purpose The Psychological General Well Being Index (PGWBI is a widely used scale across many conditions. Over time issues have been raised about the dimensional structure of the scale, and it has not yet been subjected to scrutiny by modern Psychometric approaches. The current study thus evaluates the PGWBI with Rasch- and factor analysis. Methods Consecutive patients recruited to a tertiary stress clinic were administered the PGBWI as part of routine clinical assessment at baseline and three months. Data from the scale was subjected to Factor Analyses and to Rasch analysis. In both cases adjustments for local independence violations were allowed. Results 179 patients were recruited, with a mean age of 43 years, and of whom 70% were female. An initial Confirmatory Factor Analysis (CFA with baseline data failed, but the modification indices also indicated considerable levels of local dependency requiring errors to be correlated. An EFA highlighted positive and negative effect domains. Rasch analysis confirmed that fit of data to the model was influenced by local dependency, and that in practice if the items from the six underlying domains were treated as six ‘super’ items, the scale was shown to measure one dominant construct of well being. An interval scale transformation was therefore possible. A significant improvement in well-being was observed over a three month period. Conclusion The PGWBI scale has satisfactory internal construct validity when tested with modern psychometric techniques, using data obtained from patients treated for stress-related exhaustion. The instrument has qualities that make it suitable also for monitoring well-being during interventions for stress-related exhaustion/clinical burnout.

  14. Transforming Rubrics Using Factor Analysis

    Science.gov (United States)

    Baryla, Ed; Shelley, Gary; Trainor, William

    2012-01-01

    Student learning and program effectiveness is often assessed using rubrics. While much time and effort may go into their creation, it is equally important to assess how effective and efficient the rubrics actually are in terms of measuring competencies over a number of criteria. This study demonstrates the use of common factor analysis to identify…

  15. A Factor Analysis of the BSRI and the PAQ.

    Science.gov (United States)

    Edwards, Teresa A.; And Others

    Factor analysis of the Bem Sex Role Inventory (BSRI) and the Personality Attributes Questionnaire (PAQ) was undertaken to study the independence of the masculine and feminine scales within each instrument. Both instruments were administered to undergraduate education majors. Analysis of primary first and second order factors of the BSRI indicated…

  16. Identification of noise in linear data sets by factor analysis

    International Nuclear Information System (INIS)

    Roscoe, B.A.; Hopke, Ph.K.

    1982-01-01

    A technique which has the ability to identify bad data points, after the data has been generated, is classical factor analysis. The ability of classical factor analysis to identify two different types of data errors make it ideally suited for scanning large data sets. Since the results yielded by factor analysis indicate correlations between parameters, one must know something about the nature of the data set and the analytical techniques used to obtain it to confidentially isolate errors. (author)

  17. "Factor Analysis Using ""R"""

    Directory of Open Access Journals (Sweden)

    A. Alexander Beaujean

    2013-02-01

    Full Text Available R (R Development Core Team, 2011 is a very powerful tool to analyze data, that is gaining in popularity due to its costs (its free and flexibility (its open-source. This article gives a general introduction to using R (i.e., loading the program, using functions, importing data. Then, using data from Canivez, Konold, Collins, and Wilson (2009, this article walks the user through how to use the program to conduct factor analysis, from both an exploratory and confirmatory approach.

  18. Measuring teamwork and conflict among Emergency Medical Technician personnel

    Science.gov (United States)

    Patterson, P. Daniel; Weaver, Matthew D.; Weaver, Sallie J.; Rosen, Michael A.; Todorova, Gergana; Weingart, Laurie R.; Krackhardt, David; Lave, Judith R.; Arnold, Robert M.; Yealy, Donald M.; Salas, Eduardo

    2011-01-01

    Objective We sought to develop a reliable and valid tool for measuring teamwork among Emergency Medical Technician (EMT) partnerships. Methods We adapted existing scales and developed new items to measure components of teamwork. After recruiting a convenience sample of 39 agencies, we tested a 122-item draft survey tool. We performed a series of Exploratory Factor Analyses (EFA) and Confirmatory Factor Analysis (CFA) to test reliability and construct validity, describing variation in domain and global scores using descriptive statistics. Results We received 687 completed surveys. The EFA analyses identified a 9-factor solution. We labeled these factors [1] Team Orientation, [2] Team Structure & Leadership, [3] Partner Communication, Team Support, & Monitoring, [4] Partner Trust and Shared Mental Models, [5] Partner Adaptability & Back-Up Behavior, [6] Process Conflict, [7] Strong Task Conflict, [8] Mild Task Conflict, and [9] Interpersonal Conflict. We tested a short form (30-item SF) and long form (45-item LF) version. The CFA analyses determined that both the SF and LF versions possess positive psychometric properties of reliability and construct validity. The EMT-TEAMWORK-SF has positive internal consistency properties with a mean Cronbach’s alpha coefficient ≥0.70 across all 9-factors (mean=0.84; min=0.78, max=0.94). The mean Cronbach’s alpha coefficient for the EMT-TEAMWORK-LF version was 0.87 (min=0.79, max=0.94). There was wide variation in weighted scores across all 9 factors and the global score for the SF and LF versions. Mean scores were lowest for the Team Orientation factor (48.1, SD 21.5 SF; 49.3 SD 19.8 LF) and highest (more positive) for the Interpersonal Conflict factor (87.7 SD 18.1 for both SF and LF). Conclusions We developed a reliable and valid survey to evaluate teamwork between EMT partners. PMID:22128909

  19. Measuring teamwork and conflict among emergency medical technician personnel.

    Science.gov (United States)

    Patterson, P Daniel; Weaver, Matthew D; Weaver, Sallie J; Rosen, Michael A; Todorova, Gergana; Weingart, Laurie R; Krackhardt, David; Lave, Judith R; Arnold, Robert M; Yealy, Donald M; Salas, Eduardo

    2012-01-01

    We sought to develop a reliable and valid tool for measuring teamwork among emergency medical technician (EMT) partnerships. We adapted existing scales and developed new items to measure components of teamwork. After recruiting a convenience sample of 39 agencies, we tested a 122-item draft survey tool (EMT-TEAMWORK). We performed a series of exploratory factor analyses (EFAs) and confirmatory factor analysis (CFA) to test reliability and construct validity, describing variation in domain and global scores using descriptive statistics. We received 687 completed surveys. The EFAs identified a nine-factor solution. We labeled these factors 1) Team Orientation, 2) Team Structure & Leadership, 3) Partner Communication, Team Support, & Monitoring, 4) Partner Trust and Shared Mental Models, 5) Partner Adaptability & Back-Up Behavior, 6) Process Conflict, 7) Strong Task Conflict, 8) Mild Task Conflict, and 9) Interpersonal Conflict. We tested a short-form (30-item SF) and long-form (45-item LF) version. The CFAs determined that both the SF and the LF possess positive psychometric properties of reliability and construct validity. The EMT-TEAMWORK-SF has positive internal consistency properties, with a mean Cronbach's alpha coefficient ≥0.70 across all nine factors (mean = 0.84; minimum = 0.78, maximum = 0.94). The mean Cronbach's alpha coefficient for the EMT-TEAMWORK-LF was 0.87 (minimum = 0.79, maximum = 0.94). There was wide variation in weighted scores across all nine factors and the global score for the SF and LF. Mean scores were lowest for the Team Orientation factor (48.1, standard deviation [SD] 21.5, SF; 49.3, SD 19.8, LF) and highest (more positive) for the Interpersonal Conflict factor (87.7, SD 18.1, for both SF and LF). We developed a reliable and valid survey to evaluate teamwork between EMT partners.

  20. The Recoverability of P-Technique Factor Analysis

    Science.gov (United States)

    Molenaar, Peter C. M.; Nesselroade, John R.

    2009-01-01

    It seems that just when we are about to lay P-technique factor analysis finally to rest as obsolete because of newer, more sophisticated multivariate time-series models using latent variables--dynamic factor models--it rears its head to inform us that an obituary may be premature. We present the results of some simulations demonstrating that even…

  1. Human factor analysis and preventive countermeasures in nuclear power plant

    International Nuclear Information System (INIS)

    Li Ye

    2010-01-01

    Based on the human error analysis theory and the characteristics of maintenance in a nuclear power plant, human factors of maintenance in NPP are divided into three different areas: human, technology, and organization. Which is defined as individual factors, including psychological factors, physiological characteristics, health status, level of knowledge and interpersonal skills; The technical factors including technology, equipment, tools, working order, etc.; The organizational factors including management, information exchange, education, working environment, team building and leadership management,etc The analysis found that organizational factors can directly or indirectly affect the behavior of staff and technical factors, is the most basic human error factor. Based on this nuclear power plant to reduce human error and measures the response. (authors)

  2. Psychometric Properties of the DASS-21 Among Latina/o College Students by the US-Mexico Border.

    Science.gov (United States)

    Camacho, Álvaro; Cordero, Elizabeth D; Perkins, Tara

    2016-10-01

    Anxious-depression symptomatology is frequently encountered among Latina/o individuals. There is a dearth of studies that examine this mixed class of anxiety and depression symptomatology, especially among Latina/o college students by the US-Mexico border. A total of 505 participants from rural institutions of higher education completed the DASS21. Psychometric properties were measured by means of confirmatory and exploratory factor analysis (EFA). A multivariate analysis of variance (MANOVA) was conducted to determine gender differences in depression, anxiety and stress. Among women, 18 % reported at least moderate levels of depressive symptoms, 33.1 % reported at least moderate levels of anxiety symptoms, and 16.4 % reported at least moderate levels of stress. In men, 15.9 % reported at least moderate levels of depressive symptoms, 34.1 % reported at least moderate levels of anxiety symptoms, and 12.9 % reported at least moderate levels of stress. The EFA supported a one dimension factor (anxious/stress-depression) among this sample of Latina/o college students (Bartlett's test = 4960.9; df = 210; p ≤ 0.01; Kaiser-Meyer-Olkin = 0.95). The MANOVA found no significant gender differences in depression, anxiety symptomatology and stress [Wilks'Λ = 0.99; F = (3, 500) = 2.41; p = 0.07]. The DASS-21 showed a one dimensional construct of anxious/stress-depression symptomatology in a Latina/o rural undergraduate sample, raising awareness to the need to screen and monitor this constellation of symptoms.

  3. Dimensions of Safety Climate among Iranian Nurses.

    Science.gov (United States)

    Konjin, Z Naghavi; Shokoohi, Y; Zarei, F; Rahimzadeh, M; Sarsangi, V

    2015-10-01

    Workplace safety has been a concern of workers and managers for decades. Measuring safety climate is crucial in improving safety performance. It is also a method of benchmarking safety perception. To develop and validate a psychometrics scale for measuring nurses' safety climate. Literature review, subject matter experts and nurse's judgment were used in items developing. Content validity and reliability for new tool were tested by content validity index (CVI) and test-retest analysis, respectively. Exploratory factor analysis (EFA) with varimax rotation was used to improve the interpretation of latent factors. A 40-item scale in 6 factors was developed, which could explain 55% of the observed variance. The 6 factors included employees' involvement in safety and management support, compliance with safety rules, safety training and accessibility to personal protective equipment, hindrance to safe work, safety communication and job pressure, and individual risk perception. The proposed scale can be used in identifying the needed areas to implement interventions in safety climate of nurses.

  4. Validating Teacher Commitment Scale Using a Malaysian Sample

    Directory of Open Access Journals (Sweden)

    Lei Mee Thien

    2014-05-01

    Full Text Available This study attempts to validate an integrative Teacher Commitment scale using rigorous scale validation procedures. An adapted questionnaire with 17 items was administered to 600 primary school teachers in Penang, Malaysia. Data were analyzed using exploratory factor analysis (EFA and confirmatory factor analysis (CFA with SPSS 19.0 and AMOS 19.0, respectively. The results support Teacher Commitment as a multidimensional construct with its four underlying dimensions: Commitment to Student, Commitment to Teaching, Commitment to School, and Commitment to Profession. A validated Teacher Commitment scale with 13 items measured can be proposed to be used as an evaluative tool to assess the level to which teachers are committed to their students’ learning, teaching, school, and profession. The Teacher Commitment scale would also facilitate the identifications of factors that influence teachers’ quality of work life and school effectiveness. The practical implications, school cultural influence, and methodological limitations are discussed.

  5. Development and evaluation of an instrument to measure community pharmacists' self-efficacy beliefs about communicating with Spanish-speaking patients.

    Science.gov (United States)

    Young, Henry N; Hwang, Monica J; Dilworth, Thomas J; Mott, David; Cox, Elizabeth D; Moreno, Megan A

    2011-12-01

    Hispanics are the largest growing population in the United States, and their use of prescription medications can be influenced by the education and counseling they receive from pharmacists. However, little is known about pharmacists' communication with patients who speak Spanish or factors that can influence such communication. The objective of the study was to develop and validate an instrument to measure pharmacists' self-efficacy in communicating with Spanish-speaking patients. An initial pool of 15 items developed from previous research and suggestions from communication experts and practicing pharmacists was subjected to cognitive interviewing. Nine retained items were administered to 1022 licensed pharmacists by mail survey. Summary statistics and exploratory factor analysis (EFA) were conducted. Retained factors were determined by the examination of eigenvalues and scree test results. Cronbach's alpha coefficients were calculated to assess internal consistency. A total of 540 community pharmacists completed the survey. Item means ranged from 2.93±1.47 to 1.58±0.88 based on a 5-point scale (1: not at all confident to 5: extremely confident). EFA resulted in a 2-factor solution, accounting for 71% of the variance. The 2 factors consisted of health and drug information (alpha=0.92) and opening the encounter (alpha=0.75). The alpha for the overall scale was 0.88. The results provide evidence to support the reliability and validity of an instrument to measure pharmacists' self-efficacy beliefs about communicating with Spanish-speaking patients in community practice. Practitioners and researchers may use this instrument to inform pharmacy education, pharmacy practice improvement, and research efforts around communicating with Spanish-speaking clients. Copyright © 2011 Elsevier Inc. All rights reserved.

  6. Integrating human factors into process hazard analysis

    International Nuclear Information System (INIS)

    Kariuki, S.G.; Loewe, K.

    2007-01-01

    A comprehensive process hazard analysis (PHA) needs to address human factors. This paper describes an approach that systematically identifies human error in process design and the human factors that influence its production and propagation. It is deductive in nature and therefore considers human error as a top event. The combinations of different factors that may lead to this top event are analysed. It is qualitative in nature and is used in combination with other PHA methods. The method has an advantage because it does not look at the operator error as the sole contributor to the human failure within a system but a combination of all underlying factors

  7. Applications of factor analysis to electron and ion beam surface techniques

    International Nuclear Information System (INIS)

    Solomon, J.S.

    1987-01-01

    Factor analysis, a mathematical technique for extracting chemical information from matrices of data, is used to enhance Auger electron spectroscopy (AES), core level electron energy loss spectroscopy (EELS), ion scattering spectroscopy (ISS), and secondary ion mass spectroscopy (SIMS) in studies of interfaces, thin films, and surfaces. Several examples of factor analysis enhancement of chemical bonding variations in thin films and at interfaces studied with AES and SIMS are presented. Factor analysis is also shown to be of great benefit in quantifying electron and ion beam doses required to induce surface damage. Finally, examples are presented of the use of factor analysis to reconstruct elemental profiles when peaks of interest overlap each other during the course of depth profile analysis. (author)

  8. 40 CFR 1033.535 - Adjusting emission levels to account for infrequently regenerating aftertreatment devices.

    Science.gov (United States)

    2010-07-01

    ... the downward adjustment factor (DAF) using the following equation: DAF = EFH−EFA (d) Sample... = 0.14 g/ bhp-hr−0.10 g/ bhp-hr = 0.04 g/ bhp-hr. DAF = 0.50 g/ bhp-hr−0.14 g/ bhp-hr = 0.36 g/ bhp-hr...

  9. Patient-reported outcomes in primary care patients with COPD

    DEFF Research Database (Denmark)

    Pommer, Antoinette M; Pouwer, Francois; Denollet, Johan

    2014-01-01

    ) and Mokken scale analysis, were performed to explore the latent structure of the CCQ. In study 2 (N=244), confirmatory factor analysis (CFA) was conducted to evaluate the model fit of the structure found in study 1. RESULTS: Both EFA and Mokken scale analysis revealed a structure of two dimensions ('general...... impact' α=0.91 and 'cough' α=0.84). This structure, however, was not confirmed in study 2, nor was the original structure. However, subsequently removing items that violated the assumption of a normal response distribution did result in an excellent model fit with two dimensions measuring 'dyspnoea......' and 'cough' (CFA: comparative fit index (CFI) 0.98; normed fit index (NFI) 0.97; root mean squared error of approximation (RMSEA) 0.08 (0.04)). CONCLUSIONS: In primary care, factor analyses on the CCQ revealed a two-component structure measuring 'general impact', and 'cough'. A shortened and more specific...

  10. An SPSSR -Menu for Ordinal Factor Analysis

    Directory of Open Access Journals (Sweden)

    Mario Basto

    2012-01-01

    Full Text Available Exploratory factor analysis is a widely used statistical technique in the social sciences. It attempts to identify underlying factors that explain the pattern of correlations within a set of observed variables. A statistical software package is needed to perform the calculations. However, there are some limitations with popular statistical software packages, like SPSS. The R programming language is a free software package for statistical and graphical computing. It offers many packages written by contributors from all over the world and programming resources that allow it to overcome the dialog limitations of SPSS. This paper offers an SPSS dialog written in theR programming language with the help of some packages, so that researchers with little or no knowledge in programming, or those who are accustomed to making their calculations based on statistical dialogs, have more options when applying factor analysis to their data and hence can adopt a better approach when dealing with ordinal, Likert-type data.

  11. An Illustration of the Exploratory Structural Equation Modeling (ESEM Framework on the Passion Scale

    Directory of Open Access Journals (Sweden)

    István Tóth-Király

    2017-11-01

    Full Text Available While exploratory factor analysis (EFA provides a more realistic presentation of the data with the allowance of item cross-loadings, confirmatory factor analysis (CFA includes many methodological advances that the former does not. To create a synergy of the two, exploratory structural equation modeling (ESEM was proposed as an alternative solution, incorporating the advantages of EFA and CFA. The present investigation is thus an illustrative demonstration of the applicability and flexibility of ESEM. To achieve this goal, we compared CFA and ESEM models, then thoroughly tested measurement invariance and differential item functioning through multiple-indicators-multiple-causes (MIMIC models on the Passion Scale, the only measure of the Dualistic Model of Passion (DMP which differentiates between harmonious and obsessive forms of passion. Moreover, a hybrid model was also created to overcome the drawbacks of the two methods. Analyses of the first large community sample (N = 7,466; 67.7% females; Mage = 26.01 revealed the superiority of the ESEM model relative to CFA in terms of improved goodness-of-fit and less correlated factors, while at the same time retaining the high definition of the factors. However, this fit was only achieved with the inclusion of three correlated uniquenesses, two of which appeared in previous studies and one of which was specific to the current investigation. These findings were replicated on a second, comprehensive sample (N = 504; 51.8% females; Mage = 39.59. After combining the two samples, complete measurement invariance (factor loadings, item intercepts, item uniquenesses, factor variances-covariances, and latent means was achieved across gender and partial invariance across age groups and their combination. Only one item intercept was non-invariant across both multigroup and MIMIC approaches, an observation that was further corroborated by the hybrid model. While obsessive passion showed a slight decline in the

  12. An Illustration of the Exploratory Structural Equation Modeling (ESEM) Framework on the Passion Scale.

    Science.gov (United States)

    Tóth-Király, István; Bõthe, Beáta; Rigó, Adrien; Orosz, Gábor

    2017-01-01

    While exploratory factor analysis (EFA) provides a more realistic presentation of the data with the allowance of item cross-loadings, confirmatory factor analysis (CFA) includes many methodological advances that the former does not. To create a synergy of the two, exploratory structural equation modeling (ESEM) was proposed as an alternative solution, incorporating the advantages of EFA and CFA. The present investigation is thus an illustrative demonstration of the applicability and flexibility of ESEM. To achieve this goal, we compared CFA and ESEM models, then thoroughly tested measurement invariance and differential item functioning through multiple-indicators-multiple-causes (MIMIC) models on the Passion Scale, the only measure of the Dualistic Model of Passion (DMP) which differentiates between harmonious and obsessive forms of passion. Moreover, a hybrid model was also created to overcome the drawbacks of the two methods. Analyses of the first large community sample ( N = 7,466; 67.7% females; M age = 26.01) revealed the superiority of the ESEM model relative to CFA in terms of improved goodness-of-fit and less correlated factors, while at the same time retaining the high definition of the factors. However, this fit was only achieved with the inclusion of three correlated uniquenesses, two of which appeared in previous studies and one of which was specific to the current investigation. These findings were replicated on a second, comprehensive sample ( N = 504; 51.8% females; M age = 39.59). After combining the two samples, complete measurement invariance (factor loadings, item intercepts, item uniquenesses, factor variances-covariances, and latent means) was achieved across gender and partial invariance across age groups and their combination. Only one item intercept was non-invariant across both multigroup and MIMIC approaches, an observation that was further corroborated by the hybrid model. While obsessive passion showed a slight decline in the hybrid

  13. Enhancement of lipid extraction for improved biodiesel recovery from the biodiesel promising microalga Scenedesmus obliquus

    International Nuclear Information System (INIS)

    Abomohra, Abd El-Fatah; Jin, Wenbiao; El-Sheekh, Mostafa

    2016-01-01

    Highlights: • Chloroform:methanol 2:1 showed the highest lipid extraction efficiency. • Prolongation of extraction time over 2 h showed insignificant effect on EFAs yield and significantly increased FFAs. • Cell-disruption is not essential for lipid extraction from S. obliquus cells. • Hot-water treatment for 5 min showed significant increase in EFAs yield. - Abstract: During the transesterification of oil feedstock for biodiesel production, the reaction primarily happens at the ester bonds where the fatty acid chains meet the glycerol. Therefore, only esterified fatty acids (EFAs) are able to be turned directly into biodiesel by transesterification. In this study, an optimized procedure for EFAs recovery from the biodiesel promising microalga Scenedesmus obliquus was studied. The effect of different solvent mixtures (ratios), extraction times, pretreatments and cell-disruption methods on intracellular EFAs and free fatty acids (FFAs) yield was examined. Using of chloroform:methanol (C:M) 2:1 for 2 h was shown to be the best solvent mixture for lipid extraction which resulted in the highest EFAs yield. Furthermore, testing of different cell-disruption methods showed that cell-disruption is not essential for lipid extraction from S. obliquus cells. Although, microwave pretreatment showed significant increase in EFAs yield with respect to overnight oven drying at 80 °C, all showed insignificant differences to the control. Moreover, overnight cell freezing showed 7.7% significant reduction in EFAs yield with respect to the control, while hot-water treatment for 5 min showed significant increase by 13.7%. On the other hand, overnight cell incubation, in oven or freezing, resulted in significant increase in FFAs up to 7.44 and 12.47 mg g"−"1 of the dry weight, respectively. In addition, the present study showed that no pretreatment with isopropanol to inactivate the lipases is needed when hot-water pretreatment is performed. This study suggested that hot

  14. Disruptive Event Biosphere Dose Conversion Factor Analysis

    Energy Technology Data Exchange (ETDEWEB)

    M. A. Wasiolek

    2003-07-21

    This analysis report, ''Disruptive Event Biosphere Dose Conversion Factor Analysis'', is one of the technical reports containing documentation of the ERMYN (Environmental Radiation Model for Yucca Mountain Nevada) biosphere model for the geologic repository at Yucca Mountain, its input parameters, and the application of the model to perform the dose assessment for the repository. The biosphere model is one of a series of process models supporting the Total System Performance Assessment (TSPA) for the Yucca Mountain repository. A graphical representation of the documentation hierarchy for the ERMYN is presented in Figure 1-1. This figure shows the interrelationships among the products (i.e., analysis and model reports) developed for biosphere modeling and provides an understanding of how this analysis report contributes to biosphere modeling. This report is one of the two reports that develop biosphere dose conversion factors (BDCFs), which are input parameters for the TSPA model. The ''Biosphere Model Report'' (BSC 2003 [DIRS 164186]) describes in detail the conceptual model as well as the mathematical model and lists its input parameters. Model input parameters are developed and described in detail in five analysis report (BSC 2003 [DIRS 160964], BSC 2003 [DIRS 160965], BSC 2003 [DIRS 160976], BSC 2003 [DIRS 161239], and BSC 2003 [DIRS 161241]). The objective of this analysis was to develop the BDCFs for the volcanic ash exposure scenario and the dose factors (DFs) for calculating inhalation doses during volcanic eruption (eruption phase of the volcanic event). The volcanic ash exposure scenario is hereafter referred to as the volcanic ash scenario. For the volcanic ash scenario, the mode of radionuclide release into the biosphere is a volcanic eruption through the repository with the resulting entrainment of contaminated waste in the tephra and the subsequent atmospheric transport and dispersion of contaminated material in

  15. Disruptive Event Biosphere Dose Conversion Factor Analysis

    International Nuclear Information System (INIS)

    M. A. Wasiolek

    2003-01-01

    This analysis report, ''Disruptive Event Biosphere Dose Conversion Factor Analysis'', is one of the technical reports containing documentation of the ERMYN (Environmental Radiation Model for Yucca Mountain Nevada) biosphere model for the geologic repository at Yucca Mountain, its input parameters, and the application of the model to perform the dose assessment for the repository. The biosphere model is one of a series of process models supporting the Total System Performance Assessment (TSPA) for the Yucca Mountain repository. A graphical representation of the documentation hierarchy for the ERMYN is presented in Figure 1-1. This figure shows the interrelationships among the products (i.e., analysis and model reports) developed for biosphere modeling and provides an understanding of how this analysis report contributes to biosphere modeling. This report is one of the two reports that develop biosphere dose conversion factors (BDCFs), which are input parameters for the TSPA model. The ''Biosphere Model Report'' (BSC 2003 [DIRS 164186]) describes in detail the conceptual model as well as the mathematical model and lists its input parameters. Model input parameters are developed and described in detail in five analysis report (BSC 2003 [DIRS 160964], BSC 2003 [DIRS 160965], BSC 2003 [DIRS 160976], BSC 2003 [DIRS 161239], and BSC 2003 [DIRS 161241]). The objective of this analysis was to develop the BDCFs for the volcanic ash exposure scenario and the dose factors (DFs) for calculating inhalation doses during volcanic eruption (eruption phase of the volcanic event). The volcanic ash exposure scenario is hereafter referred to as the volcanic ash scenario. For the volcanic ash scenario, the mode of radionuclide release into the biosphere is a volcanic eruption through the repository with the resulting entrainment of contaminated waste in the tephra and the subsequent atmospheric transport and dispersion of contaminated material in the biosphere. The biosphere process

  16. A replication of a factor analysis of motivations for trapping

    Science.gov (United States)

    Schroeder, Susan; Fulton, David C.

    2015-01-01

    Using a 2013 sample of Minnesota trappers, we employed confirmatory factor analysis to replicate an exploratory factor analysis of trapping motivations conducted by Daigle, Muth, Zwick, and Glass (1998).  We employed the same 25 items used by Daigle et al. and tested the same five-factor structure using a recent sample of Minnesota trappers. We also compared motivations in our sample to those reported by Daigle et el.

  17. A human factor analysis of a radiotherapy accident

    International Nuclear Information System (INIS)

    Thellier, S.

    2009-01-01

    Since September 2005, I.R.S.N. studies activities of radiotherapy treatment from the angle of the human and organizational factors to improve the reliability of treatment in radiotherapy. Experienced in nuclear industry incidents analysis, I.R.S.N. analysed and diffused in March 2008, for the first time in France, the detailed study of a radiotherapy accident from the angle of the human and organizational factors. The method used for analysis is based on interviews and documents kept by the hospital. This analysis aimed at identifying the causes of the difference recorded between the dose prescribed by the radiotherapist and the dose effectively received by the patient. Neither verbal nor written communication (intra-service meetings and protocols of treatment) allowed information to be transmitted correctly in order to permit radiographers to adjust the irradiation zones correctly. This analysis highlighted the fact that during the preparation and the carrying out of the treatment, various factors led planned controls to not be performed. Finally, this analysis highlighted the fact that unsolved areas persist in the report over this accident. This is due to a lack of traceability of a certain number of key actions. The article concluded that there must be improvement in three areas: cooperation between the practitioners, control of the actions and traceability of the actions. (author)

  18. Creation and validation of the self-efficacy instrument for physical education teacher education majors toward inclusion.

    Science.gov (United States)

    Block, Martin E; Hutzler, Yeshayahu; Barak, Sharon; Klavina, Aija

    2013-04-01

    The purpose was to validate a self-efficacy (SE) instrument toward including students with disability in physical education (PE). Three scales referring to intellectual disabilities (ID), physical disabilities (PD), or visual impairments (VI) were administered to 486 physical education teacher education (PETE) majors. The sample was randomly split, and exploratory and confirmatory factor analyses (EFA and CFA, respectively) were conducted. After deleting items that did not meet inclusion criteria, EFA item loadings ranged from 0.53 to 0.91, and Cronbach's alpha reliability was high (for ID = .86, PD = .90, and VI = .92). CFA showed that the ID scale demonstrated good goodness-of-fit, whereas in the PD and in the VI scales demonstrated moderate fit. Thus, the content and construct validity of the instrument was supported.

  19. Skilful seasonal forecasts of streamflow over Europe?

    Science.gov (United States)

    Arnal, Louise; Cloke, Hannah L.; Stephens, Elisabeth; Wetterhall, Fredrik; Prudhomme, Christel; Neumann, Jessica; Krzeminski, Blazej; Pappenberger, Florian

    2018-04-01

    This paper considers whether there is any added value in using seasonal climate forecasts instead of historical meteorological observations for forecasting streamflow on seasonal timescales over Europe. A Europe-wide analysis of the skill of the newly operational EFAS (European Flood Awareness System) seasonal streamflow forecasts (produced by forcing the Lisflood model with the ECMWF System 4 seasonal climate forecasts), benchmarked against the ensemble streamflow prediction (ESP) forecasting approach (produced by forcing the Lisflood model with historical meteorological observations), is undertaken. The results suggest that, on average, the System 4 seasonal climate forecasts improve the streamflow predictability over historical meteorological observations for the first month of lead time only (in terms of hindcast accuracy, sharpness and overall performance). However, the predictability varies in space and time and is greater in winter and autumn. Parts of Europe additionally exhibit a longer predictability, up to 7 months of lead time, for certain months within a season. In terms of hindcast reliability, the EFAS seasonal streamflow hindcasts are on average less skilful than the ESP for all lead times. The results also highlight the potential usefulness of the EFAS seasonal streamflow forecasts for decision-making (measured in terms of the hindcast discrimination for the lower and upper terciles of the simulated streamflow). Although the ESP is the most potentially useful forecasting approach in Europe, the EFAS seasonal streamflow forecasts appear more potentially useful than the ESP in some regions and for certain seasons, especially in winter for almost 40 % of Europe. Patterns in the EFAS seasonal streamflow hindcast skill are however not mirrored in the System 4 seasonal climate hindcasts, hinting at the need for a better understanding of the link between hydrological and meteorological variables on seasonal timescales, with the aim of improving climate

  20. Self-concept in preadolescence: A brief version of AF5 scale

    Directory of Open Access Journals (Sweden)

    Pau García-Grau

    2014-06-01

    Full Text Available The purpose of this study was to analyze the psychometric properties of a brief version of the AF5 questionnaire (García & Musitu, 2001 using exploratory and confirmatory techniques on a preadolescent population in the Valencian community (Spain. The sample was made up of 541 participants between 10 and 12 years old, 55.1% (298 boys and 44.9% (243 girls. After observing the results of different reliability and validity analyses (exploratory factor analysis (EFA and confirmatory factor analysis (CFA, it was found that the reduced scale consisting of 20 items showed a similar reliability and validity to the original scale. The factorial structure also fits that of the original model established a priori. According to the results of the study, the use of this diagnostic tool with Spanish children seems justified.

  1. Factor Analysis of the Brazilian Version of UPPS Impulsive Behavior Scale

    Science.gov (United States)

    Sediyama, Cristina Y. N.; Moura, Ricardo; Garcia, Marina S.; da Silva, Antonio G.; Soraggi, Carolina; Neves, Fernando S.; Albuquerque, Maicon R.; Whiteside, Setephen P.; Malloy-Diniz, Leandro F.

    2017-01-01

    Objective: To examine the internal consistency and factor structure of the Brazilian adaptation of the UPPS Impulsive Behavior Scale. Methods: UPPS is a self-report scale composed by 40 items assessing four factors of impulsivity: (a) urgency, (b) lack of premeditation; (c) lack of perseverance; (d) sensation seeking. In the present study 384 participants (278 women and 106 men), who were recruited from schools, universities, leisure centers and workplaces fulfilled the UPPS scale. An exploratory factor analysis was performed by using Varimax factor rotation and Kaiser Normalization, and we also conducted two confirmatory analyses to test the independency of the UPPS components found in previous analysis. Results: Results showed a decrease in mean UPPS total scores with age and this analysis showed that the youngest participants (below 30 years) scored significantly higher than the other groups over 30 years. No difference in gender was found. Cronbach’s alpha, results indicated satisfactory values for all subscales, with similar high values for the subscales and confirmatory factor analysis indexes also indicated a poor model fit. The results of two exploratory factor analysis were satisfactory. Conclusion: Our results showed that the Portuguese version has the same four-factor structure of the original and previous translations of the UPPS. PMID:28484414

  2. Factor Analysis of the Brazilian Version of UPPS Impulsive Behavior Scale

    Directory of Open Access Journals (Sweden)

    Leandro F. Malloy-Diniz

    2017-04-01

    Full Text Available Objective: To examine the internal consistency and factor structure of the Brazilian adaptation of the UPPS Impulsive Behavior Scale.Methods: UPPS is a self-report scale composed by 40 items assessing four factors of impulsivity: (a urgency, (b lack of premeditation; (c lack of perseverance; (d sensation seeking. In the present study 384 participants (278 women and 106 men, who were recruited from schools, universities, leisure centers and workplaces fulfilled the UPPS scale. An exploratory factor analysis was performed by using Varimax factor rotation and Kaiser Normalization, and we also conducted two confirmatory analyses to test the independency of the UPPS components found in previous analysis.Results: Results showed a decrease in mean UPPS total scores with age and this analysis showed that the youngest participants (below 30 years scored significantly higher than the other groups over 30 years. No difference in gender was found. Cronbach’s alpha, results indicated satisfactory values for all subscales, with similar high values for the subscales and confirmatory factor analysis indexes also indicated a poor model fit. The results of two exploratory factor analysis were satisfactory.Conclusion: Our results showed that the Portuguese version has the same four-factor structure of the original and previous translations of the UPPS.

  3. Factor Analysis of the Brazilian Version of UPPS Impulsive Behavior Scale.

    Science.gov (United States)

    Sediyama, Cristina Y N; Moura, Ricardo; Garcia, Marina S; da Silva, Antonio G; Soraggi, Carolina; Neves, Fernando S; Albuquerque, Maicon R; Whiteside, Setephen P; Malloy-Diniz, Leandro F

    2017-01-01

    Objective: To examine the internal consistency and factor structure of the Brazilian adaptation of the UPPS Impulsive Behavior Scale. Methods: UPPS is a self-report scale composed by 40 items assessing four factors of impulsivity: (a) urgency, (b) lack of premeditation; (c) lack of perseverance; (d) sensation seeking. In the present study 384 participants (278 women and 106 men), who were recruited from schools, universities, leisure centers and workplaces fulfilled the UPPS scale. An exploratory factor analysis was performed by using Varimax factor rotation and Kaiser Normalization, and we also conducted two confirmatory analyses to test the independency of the UPPS components found in previous analysis. Results: Results showed a decrease in mean UPPS total scores with age and this analysis showed that the youngest participants (below 30 years) scored significantly higher than the other groups over 30 years. No difference in gender was found. Cronbach's alpha, results indicated satisfactory values for all subscales, with similar high values for the subscales and confirmatory factor analysis indexes also indicated a poor model fit. The results of two exploratory factor analysis were satisfactory. Conclusion: Our results showed that the Portuguese version has the same four-factor structure of the original and previous translations of the UPPS.

  4. Factors affecting the HIV/AIDS epidemic: An ecological analysis of ...

    African Journals Online (AJOL)

    Factors affecting the HIV/AIDS epidemic: An ecological analysis of global data. ... Backward multiple linear regression analysis identified the proportion of Muslims, physicians density, and adolescent fertility rate are as the three most prominent factors linked with the national HIV epidemic. Conclusions: The findings support ...

  5. Analysis of Economic Factors Affecting Stock Market

    OpenAIRE

    Xie, Linyin

    2010-01-01

    This dissertation concentrates on analysis of economic factors affecting Chinese stock market through examining relationship between stock market index and economic factors. Six economic variables are examined: industrial production, money supply 1, money supply 2, exchange rate, long-term government bond yield and real estate total value. Stock market comprises fixed interest stocks and equities shares. In this dissertation, stock market is restricted to equity market. The stock price in thi...

  6. Deterministic factor analysis: methods of integro-differentiation of non-integral order

    Directory of Open Access Journals (Sweden)

    Valentina V. Tarasova

    2016-12-01

    Full Text Available Objective to summarize the methods of deterministic factor economic analysis namely the differential calculus and the integral method. nbsp Methods mathematical methods for integrodifferentiation of nonintegral order the theory of derivatives and integrals of fractional nonintegral order. Results the basic concepts are formulated and the new methods are developed that take into account the memory and nonlocality effects in the quantitative description of the influence of individual factors on the change in the effective economic indicator. Two methods are proposed for integrodifferentiation of nonintegral order for the deterministic factor analysis of economic processes with memory and nonlocality. It is shown that the method of integrodifferentiation of nonintegral order can give more accurate results compared with standard methods method of differentiation using the first order derivatives and the integral method using the integration of the first order for a wide class of functions describing effective economic indicators. Scientific novelty the new methods of deterministic factor analysis are proposed the method of differential calculus of nonintegral order and the integral method of nonintegral order. Practical significance the basic concepts and formulas of the article can be used in scientific and analytical activity for factor analysis of economic processes. The proposed method for integrodifferentiation of nonintegral order extends the capabilities of the determined factorial economic analysis. The new quantitative method of deterministic factor analysis may become the beginning of quantitative studies of economic agents behavior with memory hereditarity and spatial nonlocality. The proposed methods of deterministic factor analysis can be used in the study of economic processes which follow the exponential law in which the indicators endogenous variables are power functions of the factors exogenous variables including the processes

  7. Modification and analysis of engineering hot spot factor of HFETR

    International Nuclear Information System (INIS)

    Hu Yuechun; Deng Caiyu; Li Haitao; Xu Taozhong; Mo Zhengyu

    2014-01-01

    This paper presents the modification and analysis of engineering hot spot factors of HFETR. The new factors are applied in the fuel temperature analysis and the estimated value of the safety allowable operating power of HFETR. The result shows the maximum cladding temperature of the fuel is lower when the new factor are in utilization, and the safety allowable operating power of HFETR if higher, thus providing the economical efficiency of HFETR. (authors)

  8. Ranking insurance firms using AHP and Factor Analysis

    Directory of Open Access Journals (Sweden)

    Mohammad Khodaei Valahzaghard

    2013-03-01

    Full Text Available Insurance industry includes a significant part of economy and it is important to learn more about the capabilities of different firms, which are active in this industry. In this paper, we present an empirical study to rank the insurance firms using analytical hierarchy process as well as factor analysis. The study considers four criteria including capital adequacy, quality of earning, quality of cash flow and quality of firms’ assets. The results of the implementation of factor analysis (FA have been verified using Kaiser-Meyer-Olkin (KMO=0.573 and Bartlett's Chi-Square (443.267 P-value=0.000 tests. According to the results FA, the first important factor, capital adequacy, represents 21.557% of total variance, the second factor, quality of income, represents 20.958% of total variance. In addition, the third factor, quality of cash flow, represents 19.417% of total variance and the last factor, quality of assets, represents 18.641% of total variance. The study has also used analytical hierarchy process (AHP to rank insurance firms. The results of our survey indicate that capital adequacy (0.559 is accounted as the most important factor followed by quality of income (0.235, quality of cash flow (0.144 and quality of assets (0.061. The results of AHP are consistent with the results of FA, which somewhat validates the overall study.

  9. Assessing self-management in patients with diabetes mellitus type 2 in Germany: validation of a German version of the Summary of Diabetes Self-Care Activities measure (SDSCA-G).

    Science.gov (United States)

    Kamradt, Martina; Bozorgmehr, Kayvan; Krisam, Johannes; Freund, Tobias; Kiel, Marion; Qreini, Markus; Flum, Elisabeth; Berger, Sarah; Besier, Werner; Szecsenyi, Joachim; Ose, Dominik

    2014-12-18

    One of the most widely used self-reporting tools assessing diabetes self-management in English is the Summary of Diabetes Self-Care Activities (SDSCA) measure. To date there is no psychometric validated instrument in German to assess self-management in patients with diabetes mellitus. Therefore, this study aimed to translate the SDSCA into German and examine its psychometric properties. The English version of the SDSCA was translated into German following the guidelines for cultural adaptation. The German version of the SDSCA (SDSCA-G) was administered to a random sample of 315 patients with diabetes mellitus type 2. Reliability was analyzed using Cronbach's alpha coefficient and item characteristics were assessed. Exploratory and confirmatory factor analysis (EFA and CFA) were carried out to explore the construct validity. A multivariable linear regression model was used to identify the influence of predictor variables on the SDSCA-G sum score. The Cronbach's alpha for the SDSCA-G (all items) was α = 0.618 and an acceptable correlation between the SDSCA-G and Self-management Diabetes Mellitus-Questionnaire (SDQ) (ρ = 0.664) was identified. The EFA suggested a four factor construct as did the postulated model. The CFA showed the goodness of fit of the SDSCA-G. However, item 4 was found to be problematic regarding the analysis of psychometric properties. The omission of item 4 yielded an increase in Cronbach's alpha (α = 0.631) and improvements of the factor structure and model fit. No statistically significant influences of predictor variables on the SDSCA-G sum score were observed. The revised German version of the SDSCA (SDSCA-G) is a reliable and valid tool assessing self-management in adults with type 2 diabetes in Germany.

  10. An application of the driver behavior questionnaire to Chinese carless young drivers.

    Science.gov (United States)

    Zhang, Qian; Jiang, Zuhua; Zheng, Dongpeng; Wang, Yifan; Man, Dong

    2013-01-01

    Carless young drivers refers to those drivers aged between 18 and 25 years who have a driver's license but seldom have opportunities to practice their driving skills because they do not have their own cars. Due to China's lower private car ownership, many young drivers turn into carless young drivers after licensure, and the safety issue associated with them has become a matter of great concern in China. Because few studies have examined the driving behaviors of these drivers, this study aims to utilize the Driver Behavior Questionnaire (DBQ) to investigate the self-reported driving behaviors of Chinese carless young drivers. A total of 523 Chinese carless young drivers (214 females, 309 males) with an average age of 21.91 years completed a questionnaire including the 27-item DBQ and demographics. The data were first randomized into 2 subsamples for factor analysis and then combined together for the following analyses. Both an exploratory factor analysis (EFA, n = 174) and a confirmatory factor analysis (CFA, n = 349) were performed to investigate the factor structure of the DBQ. Correlation analysis was conducted to examine the relationships between the demographics and the DBQ scales' variables. Multivariate linear regression and logistic regression were performed to investigate the prediction of the DBQ scales and crash involvement in the previous year. The EFA produced a 4-factor structure identified as errors, violations, attention lapses, and memory lapses, and the CFA revealed a good model fit after the removal of one item with a low factor loading and the permission of the error covariance between some items. The Chinese carless young drivers reported a comparatively low level of aberrant driving behaviors. The 3 most frequently reported behaviors were all lapses and the 3 least were all violations. Gender was the only significant predictor of the 2 lapses scales and lifetime mileage was the only significant predictor of the violations scale. Only the

  11. Hierarchical Factoring Based On Image Analysis And Orthoblique Rotations.

    Science.gov (United States)

    Stankov, L

    1979-07-01

    The procedure for hierarchical factoring suggested by Schmid and Leiman (1957) is applied within the framework of image analysis and orthoblique rotational procedures. It is shown that this approach necessarily leads to correlated higher order factors. Also, one can obtain a smaller number of factors than produced by typical hierarchical procedures.

  12. ANALYSIS OF THE FACTORS AFFECTING THE AVERAGE

    Directory of Open Access Journals (Sweden)

    Carmen BOGHEAN

    2013-12-01

    Full Text Available Productivity in agriculture most relevantly and concisely expresses the economic efficiency of using the factors of production. Labour productivity is affected by a considerable number of variables (including the relationship system and interdependence between factors, which differ in each economic sector and influence it, giving rise to a series of technical, economic and organizational idiosyncrasies. The purpose of this paper is to analyse the underlying factors of the average work productivity in agriculture, forestry and fishing. The analysis will take into account the data concerning the economically active population and the gross added value in agriculture, forestry and fishing in Romania during 2008-2011. The distribution of the average work productivity per factors affecting it is conducted by means of the u-substitution method.

  13. Item-level factor analysis of the Self-Efficacy Scale.

    Science.gov (United States)

    Bunketorp Käll, Lina

    2014-03-01

    This study explores the internal structure of the Self-Efficacy Scale (SES) using item response analysis. The SES was previously translated into Swedish and modified to encompass all types of pain, not exclusively back pain. Data on perceived self-efficacy in 47 patients with subacute whiplash-associated disorders were derived from a previously conducted randomized-controlled trial. The item-level factor analysis was carried out using a six-step procedure. To further study the item inter-relationships and to determine the underlying structure empirically, the 20 items of the SES were also subjected to principal component analysis with varimax rotation. The analyses showed two underlying factors, named 'social activities' and 'physical activities', with seven items loading on each factor. The remaining six items of the SES appeared to measure somewhat different constructs and need to be analysed further.

  14. Development and psychometric evaluation of the sexual knowledge and attitudes scale for premarital couples (SKAS-PC: An exploratory mixed method study

    Directory of Open Access Journals (Sweden)

    Zohreh Sadat

    2018-02-01

    Full Text Available Background: Designing a valid and reliable questionnaire that allows a fair evaluation of sexual knowledge and attitudes and develop a proper sexual educational program is necessary. Objective: The present study was designed to develop and psychometric evaluation of the sexual knowledge and attitudes scale for premarital couples. Materials and Methods: An exploratory mixed method study was conducted in two phases; in the first, in order to develop a questionnaire an item pool was generated on sexual knowledge and attitudes through focus group discussions and individual interviews. In the second phase, the psychometric properties of the questionnaire were examined. For this purpose, face validity, content validity as well as construct validity were conducted. Reliability was assessed by the Cronbach’s alpha coefficient to assess internal consistency and test-retest reliability. Results: In the first phase an item pool with 88 questions was generated (sexual knowledge 45 items and sexual attitudes 43 items. In the second phase, the number of final items reduced to 33 and 34 items of sexual knowledge and sexual attitudes respectively, through exploratory factor analysis (EFA. Five factors for sexual knowledge and six factors for sexual attitudes identified by EFA. The Cronbach’s alpha coefficient for two sections was 0.84 and 0.81 respectively. The test- retest correlations for sexual knowledge and sexual attitude was 0.74 and 0.82 respectively. Conclusion: The findings suggest that the Sexual Knowledge and Attitudes Scale for Premarital Couples is a valid and reliable instrument. Further studies are needed to establish stronger psychometric properties for the questionnaire.

  15. Evaluation of Parallel Analysis Methods for Determining the Number of Factors

    Science.gov (United States)

    Crawford, Aaron V.; Green, Samuel B.; Levy, Roy; Lo, Wen-Juo; Scott, Lietta; Svetina, Dubravka; Thompson, Marilyn S.

    2010-01-01

    Population and sample simulation approaches were used to compare the performance of parallel analysis using principal component analysis (PA-PCA) and parallel analysis using principal axis factoring (PA-PAF) to identify the number of underlying factors. Additionally, the accuracies of the mean eigenvalue and the 95th percentile eigenvalue criteria…

  16. Forms of ethnic prejudice: assessing the dimensionality of a Spanish-language version of the Blatant and Subtle Prejudice Scale.

    Science.gov (United States)

    Cárdenas Castro, Manuel

    2010-02-01

    The main purpose of this study was to investigate the dimensionality of a Spanish-language version of the Blatant and Subtle Prejudice Scale via exploratory (EFA) and confirmatory factor analysis (CFA). No research has confirmed the hypothesized factor structure in Latin American countries. Using data from a random and probability survey in population of the northern area of Chile (N= 896), four models were specified: single factor model (global prejudice factor), correlated two-factor model (subtle and blatant prejudice), correlated two-factor second-order model, and single-factor second-order model. The findings indicated that the two-factor second-order model had the best fit. The corresponding alpha coefficients were .82 (subtle prejudice) and .76 (blatant prejudice). Lastly, differences were examined between , , and regarding their feelings toward immigrants, their feelings about their beliefs concerning the state aid received by these out-groups, and their feelings about their beliefs regarding future policies for them.

  17. Disruptive Event Biosphere Dose Conversion Factor Analysis

    Energy Technology Data Exchange (ETDEWEB)

    M. Wasiolek

    2004-09-08

    This analysis report is one of the technical reports containing documentation of the Environmental Radiation Model for Yucca Mountain, Nevada (ERMYN), a biosphere model supporting the total system performance assessment (TSPA) for the license application (LA) for the Yucca Mountain repository. This analysis report describes the development of biosphere dose conversion factors (BDCFs) for the volcanic ash exposure scenario, and the development of dose factors for calculating inhalation dose during volcanic eruption. A graphical representation of the documentation hierarchy for the ERMYN is presented in Figure 1-1. This figure shows the interrelationships among the products (i.e., analysis and model reports) developed for biosphere modeling and provides an understanding of how this analysis report contributes to biosphere modeling. This report is one of two reports that develop biosphere BDCFs, which are input parameters for the TSPA model. The ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) describes in detail the ERMYN conceptual model and mathematical model. The input parameter reports, shown to the right of the Biosphere Model Report in Figure 1-1, contain detailed descriptions of the model input parameters, their development and the relationship between the parameters and specific features, events and processes (FEPs). This report describes biosphere model calculations and their output, the BDCFs, for the volcanic ash exposure scenario. This analysis receives direct input from the outputs of the ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) and from the five analyses that develop parameter values for the biosphere model (BSC 2004 [DIRS 169671]; BSC 2004 [DIRS 169672]; BSC 2004 [DIRS 169673]; BSC 2004 [DIRS 169458]; and BSC 2004 [DIRS 169459]). The results of this report are further analyzed in the ''Biosphere Dose Conversion Factor Importance and Sensitivity Analysis''. The objective of this

  18. Disruptive Event Biosphere Dose Conversion Factor Analysis

    International Nuclear Information System (INIS)

    M. Wasiolek

    2004-01-01

    This analysis report is one of the technical reports containing documentation of the Environmental Radiation Model for Yucca Mountain, Nevada (ERMYN), a biosphere model supporting the total system performance assessment (TSPA) for the license application (LA) for the Yucca Mountain repository. This analysis report describes the development of biosphere dose conversion factors (BDCFs) for the volcanic ash exposure scenario, and the development of dose factors for calculating inhalation dose during volcanic eruption. A graphical representation of the documentation hierarchy for the ERMYN is presented in Figure 1-1. This figure shows the interrelationships among the products (i.e., analysis and model reports) developed for biosphere modeling and provides an understanding of how this analysis report contributes to biosphere modeling. This report is one of two reports that develop biosphere BDCFs, which are input parameters for the TSPA model. The ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) describes in detail the ERMYN conceptual model and mathematical model. The input parameter reports, shown to the right of the Biosphere Model Report in Figure 1-1, contain detailed descriptions of the model input parameters, their development and the relationship between the parameters and specific features, events and processes (FEPs). This report describes biosphere model calculations and their output, the BDCFs, for the volcanic ash exposure scenario. This analysis receives direct input from the outputs of the ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) and from the five analyses that develop parameter values for the biosphere model (BSC 2004 [DIRS 169671]; BSC 2004 [DIRS 169672]; BSC 2004 [DIRS 169673]; BSC 2004 [DIRS 169458]; and BSC 2004 [DIRS 169459]). The results of this report are further analyzed in the ''Biosphere Dose Conversion Factor Importance and Sensitivity Analysis''. The objective of this analysis was to develop the BDCFs for the volcanic ash

  19. Analysis of emotion regulation in Spanish adolescents: Validation of the Emotion Regulation Questionnaire

    Directory of Open Access Journals (Sweden)

    Olga eGómez-Ortiz

    2016-01-01

    Full Text Available Emotion regulation (ER is a basic psychological process that has been broadly linked to psychosocial adjustment. Due to its relationship with psychosocial adjustment, a significant number of instruments have been developed to assess emotion regulation in a reliable and valid manner. Among these, the Emotion Regulation Questionnaire (ERQ; Gross & John, 2003 is one of the most widely used, having shown good psychometric properties with adult samples from different cultures. Studies of validation in children and adolescents are, however, scarce and have only been developed for the Australian and Portuguese populations. The aim of this study was to validate the Spanish version of the ERQ for use in adolescents and determine possible differences according to the gender and age of young people. The sample consisted of 2060 adolescents (52.1% boys. Exploratory and Confirmatory factor analysis (EFA and CFA, multi-group analysis and two-way multivariate analysis of variance (MANOVA were performed and the percentiles calculated. The results of the AFE and CFA corroborated the existence of two factors related to the emotion regulation strategies of cognitive reappraisal and expressive suppression, showing acceptable internal consistency and test-retest reliability. Both factors also showed good criterion validity with personality traits, self-esteem, and social anxiety. Differences in cognitive reappraisal were found with regard to age, with younger students exhibiting the greatest mastery of this strategy. Gender differences were observed regarding the expressive suppression strategy, with boys being more likely to use this strategy than girls. A gender-age interaction effect was also observed, revealing that the use of the expressive suppression strategy did not vary by age in girls, and was more widely used by boys aged 12-14 years than those aged 15-16 years. However, we found evidence of measurement invariance across sex and age groups. The results

  20. An inter-battery factor analysis of the comrey personality scales and the 16 personality factor questionnaire

    OpenAIRE

    Gideon P. de Bruin

    2000-01-01

    The scores of 700 Afrikaans-speaking university students on the Comrey Personality Scales and the 16 Personality Factor Questionnaire were subjected to an inter-battery factor analysis. This technique uses only the correlations between two sets of variables and reveals only the factors that they have in common. Three of the Big Five personality factors were revealed, namely Extroversion, Neuroticism and Conscientiousness. However, the Conscientiousness factor contained a relatively strong uns...

  1. Multi-Scale Factor Analysis of High-Dimensional Brain Signals

    KAUST Repository

    Ting, Chee-Ming

    2017-05-18

    In this paper, we develop an approach to modeling high-dimensional networks with a large number of nodes arranged in a hierarchical and modular structure. We propose a novel multi-scale factor analysis (MSFA) model which partitions the massive spatio-temporal data defined over the complex networks into a finite set of regional clusters. To achieve further dimension reduction, we represent the signals in each cluster by a small number of latent factors. The correlation matrix for all nodes in the network are approximated by lower-dimensional sub-structures derived from the cluster-specific factors. To estimate regional connectivity between numerous nodes (within each cluster), we apply principal components analysis (PCA) to produce factors which are derived as the optimal reconstruction of the observed signals under the squared loss. Then, we estimate global connectivity (between clusters or sub-networks) based on the factors across regions using the RV-coefficient as the cross-dependence measure. This gives a reliable and computationally efficient multi-scale analysis of both regional and global dependencies of the large networks. The proposed novel approach is applied to estimate brain connectivity networks using functional magnetic resonance imaging (fMRI) data. Results on resting-state fMRI reveal interesting modular and hierarchical organization of human brain networks during rest.

  2. Quantitative EDXS analysis of organic materials using the ζ-factor method

    International Nuclear Information System (INIS)

    Fladischer, Stefanie; Grogger, Werner

    2014-01-01

    In this study we successfully applied the ζ-factor method to perform quantitative X-ray analysis of organic thin films consisting of light elements. With its ability to intrinsically correct for X-ray absorption, this method significantly improved the quality of the quantification as well as the accuracy of the results compared to conventional techniques in particular regarding the quantification of light elements. We describe in detail the process of determining sensitivity factors (ζ-factors) using a single standard specimen and the involved parameter optimization for the estimation of ζ-factors for elements not contained in the standard. The ζ-factor method was then applied to perform quantitative analysis of organic semiconducting materials frequently used in organic electronics. Finally, the results were verified and discussed concerning validity and accuracy. - Highlights: • The ζ-factor method is used for quantitative EDXS analysis of light elements. • We describe the process of determining ζ-factors from a single standard in detail. • Organic semiconducting materials are successfully quantified

  3. Explorative Faktorenanalyse

    OpenAIRE

    Klopp, Eric

    2010-01-01

    Die explorative Faktorenanalyse (EFA) ist ein Verfahren aus der multivariaten Statistik. Mithilfe der Faktorenanalyse kann aus den Beobachtungen vieler manifester Variablen (z .B Items eines Fragebogens) auf wenige zugrunde liegende latente Variablen, die Faktoren genannt werden, geschlossen werden. Eine EFA führt zu einer Reduktion der Variablen auf wenige, den manifesten Variablen zugrunde liegende Faktoren. Der folgende Text gibt einen Überblick über die Grundlagen der EFA sowie der wichti...

  4. Education for All: High Expectations or False Hopes?

    Science.gov (United States)

    Hallak, Jacques

    Although the World Conference on Education for All, held in March 1990 in Jomtien, Thailand, fostered international consensus on educational goals and raised expectations, obstacles to successful achievement of education for all (EFA) must be identified. This paper describes the five most important obstacles--political factors, economic/financial…

  5. 40 CFR 1042.525 - How do I adjust emission levels to account for infrequently regenerating aftertreatment devices?

    Science.gov (United States)

    2010-07-01

    ... the downward adjustment factor (DAF) using the following equation: DAF = EFH−EFA (d) Sample...−0.10 g/kW-hr = 0.04 g/kW-hr. DAF = 0.50 g/kW-hr−0.14 g/kW-hr = 0.36 g/kW-hr. (e) Ramped-modal...

  6. Bayesian Sensitivity Analysis of a Nonlinear Dynamic Factor Analysis Model with Nonparametric Prior and Possible Nonignorable Missingness.

    Science.gov (United States)

    Tang, Niansheng; Chow, Sy-Miin; Ibrahim, Joseph G; Zhu, Hongtu

    2017-12-01

    Many psychological concepts are unobserved and usually represented as latent factors apprehended through multiple observed indicators. When multiple-subject multivariate time series data are available, dynamic factor analysis models with random effects offer one way of modeling patterns of within- and between-person variations by combining factor analysis and time series analysis at the factor level. Using the Dirichlet process (DP) as a nonparametric prior for individual-specific time series parameters further allows the distributional forms of these parameters to deviate from commonly imposed (e.g., normal or other symmetric) functional forms, arising as a result of these parameters' restricted ranges. Given the complexity of such models, a thorough sensitivity analysis is critical but computationally prohibitive. We propose a Bayesian local influence method that allows for simultaneous sensitivity analysis of multiple modeling components within a single fitting of the model of choice. Five illustrations and an empirical example are provided to demonstrate the utility of the proposed approach in facilitating the detection of outlying cases and common sources of misspecification in dynamic factor analysis models, as well as identification of modeling components that are sensitive to changes in the DP prior specification.

  7. Multiple timescale analysis and factor analysis of energy ecological footprint growth in China 1953-2006

    International Nuclear Information System (INIS)

    Chen Chengzhong; Lin Zhenshan

    2008-01-01

    Scientific analysis of energy consumption and its influencing factors is of great importance for energy strategy and policy planning. The energy consumption in China 1953-2006 is estimated by applying the energy ecological footprint (EEF) method, and the fluctuation periods of annual China's per capita EEF (EEF cpc ) growth rate are analyzed with the empirical mode decomposition (EMD) method in this paper. EEF intensity is analyzed to depict energy efficiency in China. The main timescales of the 37 factors that affect the annual growth rate of EEF cpc are also discussed based on EMD and factor analysis methods. Results show three obvious undulation cycles of the annual growth rate of EEF cpc , i.e., 4.6, 14.4 and 34.2 years over the last 53 years. The analysis findings from the common synthesized factors of IMF1, IMF2 and IMF3 timescales of the 37 factors suggest that China's energy policy-makers should attach more importance to stabilizing economic growth, optimizing industrial structure, regulating domestic petroleum exploitation and improving transportation efficiency

  8. Analysis of related risk factors for pancreatic fistula after pancreaticoduodenectomy

    Directory of Open Access Journals (Sweden)

    Qi-Song Yu

    2016-08-01

    Full Text Available Objective: To explore the related risk factors for pancreatic fistula after pancreaticoduodenectomy to provide a theoretical evidence for effectively preventing the occurrence of pancreatic fistula. Methods: A total of 100 patients who were admitted in our hospital from January, 2012 to January, 2015 and had performed pancreaticoduodenectomy were included in the study. The related risk factors for developing pancreatic fistula were collected for single factor and Logistic multi-factor analysis. Results: Among the included patients, 16 had pancreatic fistula, and the total occurrence rate was 16% (16/100. The single-factor analysis showed that the upper abdominal operation history, preoperative bilirubin, pancreatic texture, pancreatic duct diameter, intraoperative amount of bleeding, postoperative hemoglobin, and application of somatostatin after operation were the risk factors for developing pancreatic fistula (P<0.05. The multi-factor analysis showed that the upper abdominal operation history, the soft pancreatic texture, small pancreatic duct diameter, and low postoperative hemoglobin were the dependent risk factors for developing pancreatic fistula (OR=4.162, 6.104, 5.613, 4.034, P<0.05. Conclusions: The occurrence of pancreatic fistula after pancreaticoduodenectomy is closely associated with the upper abdominal operation history, the soft pancreatic texture, small pancreatic duct diameter, and low postoperative hemoglobin; therefore, effective measures should be taken to reduce the occurrence of pancreatic fistula according to the patients’ own conditions.

  9. [Validity and internal consistency of the Maslach Burnout Inventory in Dental Students from Cartagena, Colombia].

    Science.gov (United States)

    Simancas-Pallares, Miguel Angel; Fortich Mesa, Natalia; González Martínez, Farith Damián

    To determine the internal consistency and content validity of the Maslach Burnout Inventory-Student Survey (MBI-SS) in dental students from Cartagena, Colombia. Scale validation study in 886 dental students from Cartagena, Colombia. Factor structure was determined through exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). Internal consistency was measured using the Cronbach's alpha coefficient. Analyses were performed using the Stata v.13.2 for Windows (Statacorp., USA) and Mplus v.7.31 for Windows (Muthén & Muthén, USA) software. Internal consistency was α=.806. The factor structure showed three that accounted for the 56.6% of the variance. CFA revealed: χ 2 =926.036; df=85; RMSEA=.106 (90%CI, .100-.112); CFI=.947; TLI=.934. The MBI showed an adequate internal consistency and a factor structure being consistent with the original proposed structure with a poor fit, which does not reflect adequate content validity in this sample. Copyright © 2016 Asociación Colombiana de Psiquiatría. Publicado por Elsevier España. All rights reserved.

  10. Two Expectation-Maximization Algorithms for Boolean Factor Analysis

    Czech Academy of Sciences Publication Activity Database

    Frolov, A. A.; Húsek, Dušan; Polyakov, P.Y.

    2014-01-01

    Roč. 130, 23 April (2014), s. 83-97 ISSN 0925-2312 R&D Projects: GA ČR GAP202/10/0262 Grant - others:GA MŠk(CZ) ED1.1.00/02.0070; GA MŠk(CZ) EE.2.3.20.0073 Program:ED Institutional research plan: CEZ:AV0Z10300504 Keywords : Boolean Factor analysis * Binary Matrix factorization * Neural networks * Binary data model * Dimension reduction * Bars problem Subject RIV: IN - Informatics, Computer Science Impact factor: 2.083, year: 2014

  11. Factor analysis of symptom profile in early onset and late onset OCD.

    Science.gov (United States)

    Grover, Sandeep; Sarkar, Siddharth; Gupta, Gourav; Kate, Natasha; Ghosh, Abhishek; Chakrabarti, Subho; Avasthi, Ajit

    2018-04-01

    This study aimed to assess the factor structure of early and late onset OCD. Additionally, cluster analysis was conducted in the same sample to assess the applicability of the factors. 345 participants were assessed with Yale Brown Obsessive Compulsive Scale symptom checklist. Patients were classified as early onset (onset of symptoms at age ≤ 18 years) and late onset (onset at age > 18 years) OCD depending upon the age of onset of the symptoms. Factor analysis and cluster analysis of early-onset and late-onset OCD was conducted. The study sample comprised of 91 early onset and 245 late onset OCD subjects. Males were more common in the early onset group. Differences in the frequency of phenomenology related to contamination related, checking, repeating, counting and ordering/arranging compulsions were present across the early and late onset groups. Factor analysis of YBOCS revealed a 3 factor solution for both the groups, which largely concurred with each other. These factors were named as hoarding and symmetry (factor-1), contamination (factor-2) and aggressive, sexual and religious factor (factor-3). To conclude this study shows that factor structure of symptoms of OCD seems to be similar between early-onset and late-onset OCD. Copyright © 2017 Elsevier B.V. All rights reserved.

  12. Tensor-Dictionary Learning with Deep Kruskal-Factor Analysis

    Energy Technology Data Exchange (ETDEWEB)

    Stevens, Andrew J.; Pu, Yunchen; Sun, Yannan; Spell, Gregory; Carin, Lawrence

    2017-04-20

    We introduce new dictionary learning methods for tensor-variate data of any order. We represent each data item as a sum of Kruskal decomposed dictionary atoms within the framework of beta-process factor analysis (BPFA). Our model is nonparametric and can infer the tensor-rank of each dictionary atom. This Kruskal-Factor Analysis (KFA) is a natural generalization of BPFA. We also extend KFA to a deep convolutional setting and develop online learning methods. We test our approach on image processing and classification tasks achieving state of the art results for 2D & 3D inpainting and Caltech 101. The experiments also show that atom-rank impacts both overcompleteness and sparsity.

  13. Comparison of gravimetric, creamatocrit and esterified fatty acid methods for determination of total fat content in human milk.

    Science.gov (United States)

    Du, Jian; Gay, Melvin C L; Lai, Ching Tat; Trengove, Robert D; Hartmann, Peter E; Geddes, Donna T

    2017-02-15

    The gravimetric method is considered the gold standard for measuring the fat content of human milk. However, it is labor intensive and requires large volumes of human milk. Other methods, such as creamatocrit and esterified fatty acid assay (EFA), have also been used widely in fat analysis. However, these methods have not been compared concurrently with the gravimetric method. Comparison of the three methods was conducted with human milk of varying fat content. Correlations between these methods were high (r(2)=0.99). Statistical differences (Pmethods. Overall, stronger correlation with lower mean (4.73g/L) and percentage differences (5.16%) was observed with the creamatocrit than the EFA method when compared to the gravimetric method. Furthermore, the ease of operation and real-time analysis make the creamatocrit method preferable. Copyright © 2016. Published by Elsevier Ltd.

  14. Multivariate factor analysis of Girgentana goat milk composition

    Directory of Open Access Journals (Sweden)

    Pietro Giaccone

    2010-01-01

    Full Text Available The interpretation of the several variables that contribute to defining milk quality is difficult due to the high degree of  correlation among them. In this case, one of the best methods of statistical processing is factor analysis, which belongs  to the multivariate groups; for our study this particular statistical approach was employed.  A total of 1485 individual goat milk samples from 117 Girgentana goats, were collected fortnightly from January to July,  and analysed for physical and chemical composition, and clotting properties. Milk pH and tritable acidity were within the  normal range for fresh goat milk. Morning milk yield resulted 704 ± 323 g with 3.93 ± 1.23% and 3.48±0.38% for fat  and protein percentages, respectively. The milk urea content was 43.70 ± 8.28 mg/dl. The clotting ability of Girgentana  milk was quite good, with a renneting time equal to 16.96 ± 3.08 minutes, a rate of curd formation of 2.01 ± 1.63 min-  utes and a curd firmness of 25.08 ± 7.67 millimetres.  Factor analysis was performed by applying axis orthogonal rotation (rotation type VARIMAX; the analysis grouped the  milk components into three latent or common factors. The first, which explained 51.2% of the total covariance, was  defined as “slow milks”, because it was linked to r and pH. The second latent factor, which explained 36.2% of the total  covariance, was defined as “milk yield”, because it is positively correlated to the morning milk yield and to the urea con-  tent, whilst negatively correlated to the fat percentage. The third latent factor, which explained 12.6% of the total covari-  ance, was defined as “curd firmness,” because it is linked to protein percentage, a30 and titatrable acidity. With the aim  of evaluating the influence of environmental effects (stage of kidding, parity and type of kidding, factor scores were anal-  ysed with the mixed linear model. Results showed significant effects of the season of

  15. Confirmatory factor analysis using Microsoft Excel.

    Science.gov (United States)

    Miles, Jeremy N V

    2005-11-01

    This article presents a method for using Microsoft (MS) Excel for confirmatory factor analysis (CFA). CFA is often seen as an impenetrable technique, and thus, when it is taught, there is frequently little explanation of the mechanisms or underlying calculations. The aim of this article is to demonstrate that this is not the case; it is relatively straightforward to produce a spreadsheet in MS Excel that can carry out simple CFA. It is possible, with few or no programming skills, to effectively program a CFA analysis and, thus, to gain insight into the workings of the procedure.

  16. Boolean Factor Analysis by Attractor Neural Network

    Czech Academy of Sciences Publication Activity Database

    Frolov, A. A.; Húsek, Dušan; Muraviev, I. P.; Polyakov, P.Y.

    2007-01-01

    Roč. 18, č. 3 (2007), s. 698-707 ISSN 1045-9227 R&D Projects: GA AV ČR 1ET100300419; GA ČR GA201/05/0079 Institutional research plan: CEZ:AV0Z10300504 Keywords : recurrent neural network * Hopfield-like neural network * associative memory * unsupervised learning * neural network architecture * neural network application * statistics * Boolean factor analysis * dimensionality reduction * features clustering * concepts search * information retrieval Subject RIV: BB - Applied Statistics, Operational Research Impact factor: 2.769, year: 2007

  17. MOOC Success Factors: Proposal of an Analysis Framework

    Directory of Open Access Journals (Sweden)

    Margarida M. Marques

    2017-10-01

    Full Text Available Aim/Purpose: From an idea of lifelong-learning-for-all to a phenomenon affecting higher education, Massive Open Online Courses (MOOCs can be the next step to a truly universal education. Indeed, MOOC enrolment rates can be astoundingly high; still, their completion rates are frequently disappointingly low. Nevertheless, as courses, the participants’ enrolment and learning within the MOOCs must be considered when assessing their success. In this paper, the authors’ aim is to reflect on what makes a MOOC successful to propose an analysis framework of MOOC success factors. Background: A literature review was conducted to identify reported MOOC success factors and to propose an analysis framework. Methodology: This literature-based framework was tested against data of a specific MOOC and refined, within a qualitative interpretivist methodology. The data were collected from the ‘As alterações climáticas nos média escolares - Clima@EduMedia’ course, which was developed by the project Clima@EduMedia and was submitted to content analysis. This MOOC aimed to support science and school media teachers in the use of media to teach climate change Contribution: By proposing a MOOC success factors framework the authors are attempting to contribute to fill in a literature gap regarding what concerns criteria to consider a specific MOOC successful. Findings: This work major finding is a literature-based and empirically-refined MOOC success factors analysis framework. Recommendations for Practitioners: The proposed framework is also a set of best practices relevant to MOOC developers, particularly when targeting teachers as potential participants. Recommendation for Researchers: This work’s relevance is also based on its contribution to increasing empirical research on MOOCs. Impact on Society: By providing a proposal of a framework on factors to make a MOOC successful, the authors hope to contribute to the quality of MOOCs. Future Research: Future

  18. Is there a correlation between physicians' clinical impressions and patients' perceptions of change? Use of the Perceived Change Scale with inpatients with mental disorders

    Directory of Open Access Journals (Sweden)

    Gabriela Pavan

    Full Text Available Abstract Introduction: Assessment of the results of treatment for mental disorders becomes more complete when the patient's perspective is incorporated. Here, we aimed to evaluate the psychometric properties and application of the Perceived Change Scale - Patient version (PCS-P in a sample of inpatients with mental disorders. Methods: One hundred and ninety-one psychiatric inpatients answered the PCS-P and the Patients' Satisfaction with Mental Health Services Scale (SATIS and were evaluated in terms of clinical and sociodemographic data. An exploratory factor analysis (EFA was performed and internal consistency was calculated. The clinical impressions of the patient, family, and physician were correlated with the patient's perception of change. Results: The EFA indicated a psychometrically suitable four-factor solution. The PCS-P exhibited a coherent relationship with SATIS and had a Cronbach's alpha value of 0.856. No correlations were found between the physician's clinical global impression of improvement and the patient's perception of change, although a moderate positive correlation was found between the patients' clinical global impression of improvement and the change perceived by the patient. Conclusions: The PCS-P exhibited adequate psychometric proprieties in a sample of inpatients with mental disorders. The patient's perception of change is an important dimension for evaluation of outcomes in the treatment of mental disorders and differs from the physician's clinical impression of improvement. Evaluation of positive and negative perceptions of the various dimensions of the patient's life enables more precise consideration of the patient's priorities and interests.

  19. The Bank of Canada's Management of Foreign Currency Reserves

    OpenAIRE

    Jacobo De León

    2001-01-01

    This article describes the Bank's management of the liquid foreign currency portion of the government's official reserves. It broadly outlines the operations of the Exchange Fund Account (EFA), the main account in which Canada's reserves are held. It then briefly reviews the evolution of the objectives and management of the EFA over the past 25 years, particularly in light of the changing level of reserves and developments in financial markets. The EFA is funded by Canada's foreign currency b...

  20. DISRUPTIVE EVENT BIOSPHERE DOSE CONVERSION FACTOR ANALYSIS

    International Nuclear Information System (INIS)

    M.A. Wasiolek

    2005-01-01

    This analysis report is one of the technical reports containing documentation of the Environmental Radiation Model for Yucca Mountain, Nevada (ERMYN), a biosphere model supporting the total system performance assessment (TSPA) for the license application (LA) for the Yucca Mountain repository. This analysis report describes the development of biosphere dose conversion factors (BDCFs) for the volcanic ash exposure scenario, and the development of dose factors for calculating inhalation dose during volcanic eruption. A graphical representation of the documentation hierarchy for the ERMYN is presented in Figure 1-1. This figure shows the interrelationships among the products (i.e., analysis and model reports) developed for biosphere modeling and provides an understanding of how this analysis report contributes to biosphere modeling. This report is one of two reports that develop biosphere BDCFs, which are input parameters for the TSPA model. The Biosphere Model Report (BSC 2004 [DIRS 169460]) describes in detail the ERMYN conceptual model and mathematical model. The input parameter reports, shown to the right of the Biosphere Model Report in Figure 1-1, contain detailed descriptions of the model input parameters, their development and the relationship between the parameters and specific features, events and processes (FEPs). This report describes biosphere model calculations and their output, the BDCFs, for the volcanic ash exposure scenario. This analysis receives direct input from the outputs of the ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) and from the five analyses that develop parameter values for the biosphere model (BSC 2005 [DIRS 172827]; BSC 2004 [DIRS 169672]; BSC 2004 [DIRS 169673]; BSC 2004 [DIRS 169458]; and BSC 2004 [DIRS 169459]). The results of this report are further analyzed in the ''Biosphere Dose Conversion Factor Importance and Sensitivity Analysis'' (Figure 1-1). The objective of this analysis was to develop the BDCFs for the volcanic

  1. Capital Cost Optimization for Prefabrication: A Factor Analysis Evaluation Model

    Directory of Open Access Journals (Sweden)

    Hong Xue

    2018-01-01

    Full Text Available High capital cost is a significant hindrance to the promotion of prefabrication. In order to optimize cost management and reduce capital cost, this study aims to explore the latent factors and factor analysis evaluation model. Semi-structured interviews were conducted to explore potential variables and then questionnaire survey was employed to collect professionals’ views on their effects. After data collection, exploratory factor analysis was adopted to explore the latent factors. Seven latent factors were identified, including “Management Index”, “Construction Dissipation Index”, “Productivity Index”, “Design Efficiency Index”, “Transport Dissipation Index”, “Material increment Index” and “Depreciation amortization Index”. With these latent factors, a factor analysis evaluation model (FAEM, divided into factor analysis model (FAM and comprehensive evaluation model (CEM, was established. The FAM was used to explore the effect of observed variables on the high capital cost of prefabrication, while the CEM was used to evaluate comprehensive cost management level on prefabrication projects. Case studies were conducted to verify the models. The results revealed that collaborative management had a positive effect on capital cost of prefabrication. Material increment costs and labor costs had significant impacts on production cost. This study demonstrated the potential of on-site management and standardization design to reduce capital cost. Hence, collaborative management is necessary for cost management of prefabrication. Innovation and detailed design were needed to improve cost performance. The new form of precast component factories can be explored to reduce transportation cost. Meanwhile, targeted strategies can be adopted for different prefabrication projects. The findings optimized the capital cost and improved the cost performance through providing an evaluation and optimization model, which helps managers to

  2. A social work study using factor analysis on detecting important factors creating stress: A case study of hydro-power employees

    Directory of Open Access Journals (Sweden)

    Batoul Aminjafari

    2012-08-01

    Full Text Available The study performs an empirical study based on the implementation of factor analysis to detect different factors influencing people to have more stress in a hydropower unit located in city of Esfahan, Iran. The study performed the survey among all 81 people who were working for customer service section of this company and consisted of two parts, in the first part; we gather all private information such as age, gender, education, job experience, etc. through seven important questions. In the second part of the survey, there were 66 questions, which included all the relevant factors impacting employees' stress. Cronbach alpha was calculated as 0.946, which is well above the minimum acceptable level. The implementation of factor analysis has detected 16 important groups of factors and each factor is determined by an appropriate name. The results of our factor analysis show that among different factors, difficulty of working condition as well as work pressure are two most important factors increasing stress among employees.

  3. The impact of pediatric blood and marrow transplant on parents: introduction of the parent impact scale.

    Science.gov (United States)

    Heinze, Katherine E; Rodday, Angie Mae; Nolan, Marie T; Bingen, Kristin; Kupst, Mary Jo; Patel, Sunita K; Syrjala, Karen; Harris, Lynnette; Recklitis, Christopher; Schwartz, Lisa; Davies, Stella; Guinan, Eva C; Noll, Robert; Chang, Grace; Parsons, Susan K

    2015-04-09

    Parents often experience stress-related complications when their child requires blood and marrow transplant (BMT). Previous studies have described the emotional toll BMT places on parents during the acute phase of care and within the context of clinical complications. In this paper we introduce the Parent Impact Scale (PARimpact), designed to capture physical and emotional challenges of the child's health on the parent. The primary aim of this paper is to examine psychometric properties of PARimpact, and the secondary aim is to explore factors associated with PARimpact scores for further hypothesis generation. This analysis used a merged dataset of two longitudinal studies. Accompanying parents (n = 363) of children undergoing BMT were surveyed up to six times from pre-BMT baseline to one year after their child's BMT. For this analysis, pre-BMT baseline responses to PARimpact were used to examine the factor structure with Principal Component Analysis (PCA) and Exploratory Factor Analysis (EFA). Construct validity was assessed, and multivariable regression was used to examine relationships between PARimpact and BMT clinical variables. PCA and EFA revealed a one-factor solution with acceptable item loading; Cronbach's α was 0.83 at baseline. Hypothesized differences in known groups were detected for BMT complications with significantly higher PARimpact scores for those with vs. without each complication. In the adjusted multivariable regression models, acute graft versus host disease (b = 5.3; p = 0.03), end organ toxicity (b = 5.9; p < 0.01), and systemic infection (b = 9.1; p < 0.01) were associated with significantly higher mean PARimpact scores in the first 3 months following transplant. After the first 3 months to 1 year post BMT, systemic infection was associated with increased mean PARimpact scores (b = 19.2; p < 0.01). Initial results suggest that the PARimpact is valid and reliable. Our finding that clinical

  4. Testing all six person-oriented principles in dynamic factor analysis.

    Science.gov (United States)

    Molenaar, Peter C M

    2010-05-01

    All six person-oriented principles identified by Sterba and Bauer's Keynote Article can be tested by means of dynamic factor analysis in its current form. In particular, it is shown how complex interactions and interindividual differences/intraindividual change can be tested in this way. In addition, the necessity to use single-subject methods in the analysis of developmental processes is emphasized, and attention is drawn to the possibility to optimally treat developmental psychopathology by means of new computational techniques that can be integrated with dynamic factor analysis.

  5. Likelihood-based Dynamic Factor Analysis for Measurement and Forecasting

    NARCIS (Netherlands)

    Jungbacker, B.M.J.P.; Koopman, S.J.

    2015-01-01

    We present new results for the likelihood-based analysis of the dynamic factor model. The latent factors are modelled by linear dynamic stochastic processes. The idiosyncratic disturbance series are specified as autoregressive processes with mutually correlated innovations. The new results lead to

  6. Training department's role in human factor analysis during post-trip reviews

    International Nuclear Information System (INIS)

    Goodman, D.

    1987-01-01

    Provide training is a frequent corrective action specified in a post-trip review report. This corrective action is most often decided upon by technical and operational staff, not training staff, without a detailed analysis of whether training can resolve the immediate problem or enhance employees' future performance. A more specific human factor or performance problem analysis would often reveal that training cannot impact or resolve the concern to avoid future occurrences. This human factor analysis is similar to Thomas Gilbert's Behavior Engineering Model (Human Competence, McGraw-Hill, 1978) or Robert Mager's/Peter Pipe's Performance Analysis (Analyzing Performance Problems, Pitman Learning, 1984). At Palo Verde Nuclear Generating Station, training analysts participate in post-trip reviews in order to conduct or provide input to this type of human factor and performance problem analysis. Their goal is to keep provide training out of corrective action statements unless training can in fact impact or resolve the problem. The analysts follow a plant specific logic diagram to identify human factors and to identify whether changes to the environment or to the person would best resolve the concern

  7. Development of a checklist of short-term and long-term psychological symptoms associated with ketamine use.

    Science.gov (United States)

    Fan, Ni; Xu, Ke; Ning, Yuping; Wang, Daping; Ke, Xiaoyin; Ding, Yi; Sun, Bin; Zhou, Chao; Deng, Xuefeng; Rosenheck, Robert; He, Hongbo

    2015-06-25

    Ketamine is an increasingly popular drug of abuse in China but there is currently no method for classifying the psychological effects of ketamine in individuals with ketamine dependence. Develop a scale that characterizes the acute and long-term psychological effects of ketamine use among persons with ketamine dependence. We developed a preliminary symptom checklist with 35 dichotomous ('yes' or 'no') items about subjective feelings immediately after ketamine use and about perceived long-term effects of ketamine use that was administered to 187 inpatients with ketamine dependence recruited from two large hospitals in Guangzhou, China. Exploratory factor analysis (EFA) was conducted on a randomly selected half of thesample to reduce the items and to identify underlying constructs. Confirmatory factor analysis (CFA) was conducted on the second half of the sample to assess the robustness of the identified factor structure. Among the 35 symptoms, the most-reported acute effects were 'floating or circling' (94%), 'euphoric when listening to rousing music' (86%), and 'feeling excited, talkative, and full of energy' (67%). The mostreported long-term symptoms were 'memory impairment' (93%), 'personality changes' (86%), and 'slowed reactions' (81%). EFA resulted in a final 22-item scale best modelled by a four-factor model: two factors representing chronic symptoms (social withdrawal and sleep disturbances), one about acute psychoticlike symptoms, and one that combined acute drug-related euphoria and longer-term decreased libido. CFA showed that these 4 factors accounted for 50% of the total variance of the final 22-item scale and that the model fit was fair (Goodness of Fit Index, GIF=83.3%; Root Mean Square Error of Approximation, RMSEA=0.072). A four-factor model including social withdrawal, sleep disturbance, psychotic-like symptoms, and euphoria at the time of drug use provides a fair description of the short-term and long-term psychological symptoms associated with

  8. Triacylglycerol secretion in rats: validation of a tracer method employing radioactive glycerol

    International Nuclear Information System (INIS)

    Bird, M.; Williams, M.A.; Baker, N.

    1984-01-01

    A two-compartment model was developed to analyze the temporal changes in plasma triacylglycerol (TG)-specific radioactivity after injection of [2- 3 H]glycerol into rats. The analysis, which yielded fractional rate constants of TG secretion, was tested in rats fed diets either adequate or deficient in essential fatty acids (EFA) and containing either glucose, fructose or sucrose as the dietary carbohydrate. The method of analysis appeared valid, first, because of a close agreement between experimental and computer-fitted TG-specific radioactivity curves, and second, because the fractional rate constants obtained were quite similar to fractional rate constants determined previously by the Triton WR-1339 technique in rats maintained on identical diets. The results show that EFA deficiency increased the fractional rate constant of TG secretion 1.7-, 1.8- and 3.3-fold and the rate of TG secretion 1.8-, 1.6- and 1.4-fold when the dietary carbohydrate was glucose, sucrose and fructose, respectively, in comparison with control rats fed diets supplying these same carbohydrates but adequate in EFA. In the latter groups, the rates of plasma TG secretion were in the range of 0.14-0.17 mg/min per 100 g body weight, and the rate of secretion in the fructose-fed rats was only 20% higher than in the glucose-fed rats

  9. Adaptation of the Critical Care Family Need Inventory to the Turkish population and its psychometric properties

    Directory of Open Access Journals (Sweden)

    Sibel Büyükçoban

    2015-08-01

    Full Text Available In the complex environment of intensive care units, needs of patients’ relatives might be seen as the lowest priority. On the other hand, because of their patients’ critical and often uncertain conditions, stress levels of relatives are quite high. This study aims to adapt the Critical Care Family Need Inventory, which assesses the needs of patients’ relatives, for use with the Turkish-speaking population and to assess psychometric properties of the resulting inventory. The study was conducted in a state hospital with the participation of 191 critical care patient relatives. Content validity was assessed by expert opinions, and construct validity was examined by exploratory factor analysis (EFA. Cronbach’s alpha coefficient was used to determine internal consistency. The translated inventory has a content validity ratio higher than the minimum acceptable level. Its construct validity was established by the EFA. Cronbach’s alpha coefficient for the entire scale was 0.93 and higher than 0.80 for subscales, thus demonstrating the translated version’s reliability. The Turkish adaptation appropriately reflects all dimensions of needs in the original CCFNI, and its psychometric properties were acceptable. The revised tool could be useful for helping critical care healthcare workers provide services in a holistic approach and for policymakers to improve quality of service.

  10. Sustainable Manufacturing Practices in Malaysian Automotive Industry: Confirmatory Factor Analysis

    OpenAIRE

    Habidin, Nurul Fadly; Zubir, Anis Fadzlin Mohd; Fuz, Nursyazwani Mohd; Latip, Nor Azrin Md; Azman, Mohamed Nor Azhari

    2015-01-01

    Sustainable manufacturing practices (SMPs) have received enormous attention in current years as an effective solution to support the continuous growth and expansion of the automotive manufacturing industry. This reported study was conducted to examine confirmatory factor analysis for SMP such as manufacturing process, supply chain management, social responsibility, and environmental management based on automotive manufacturing industry. The results of confirmatory factor analysis show that fo...

  11. How to measure experiences of healthcare quality in Denmark among patients with heart disease? The development and psychometric evaluation of a patient-reported instrument.

    Science.gov (United States)

    Zinckernagel, Line; Schneekloth, Nanna; Zwisler, Ann-Dorthe Olsen; Ersbøll, Annette Kjær; Rod, Morten Hulvej; Jensen, Poul Dengsøe; Timm, Helle; Holmberg, Teresa

    2017-10-30

    Measuring the quality of care as experienced by patients is increasingly recognised as a way of improving healthcare services. However, disease-specific measures that take the patient journey into account are needed. This paper presents the development of such a measure for patients with heart disease and details the psychometric evaluation. The questionnaire was developed based on a literature review, qualitative interviews and a pilot-test. The psychometric evaluation of the measure was assessed using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), Cronbach's alpha coefficient and differential item functioning analysis with data from a population-based survey. Denmark in 2013-2014. Nineteen heart patients, four relatives and eight health professionals participated in qualitative interviews in the development phase, and 15 patients participated in the pilot-test. The questionnaire was subsequently sent to a random sample of 5000 heart patients who were diagnosed in 2013. The comprehensive development phase and pilot-testing contributed to high content validity of the questionnaire. Eligible questionnaire responses were received from 2496 patients. EFA indicated a nine-factor model: communication at the hospital, communication with the general practitioner, information on disease and treatment, information on psychosocial aspects, rehabilitation/support, organisation, medication, involvement of relatives and consideration of comorbidity. CFA confirmed the proposed factor structure (eg, goodness-of-fit index=0.88, adjusted goodness-of-fit index=0.86, root mean square error of approximation=0.05), and Cronbach's alpha coefficient revealed good internal consistency of the factors (range: 0.69-0.93). The results suggest that this disease-specific patient-reported experience measure is of good quality when measuring the quality of care among heart patients. The inclusion of patients in the development phase contributed to high content validity

  12. Factor Analysis of Drawings: Application to College Student Models of the Greenhouse Effect

    Science.gov (United States)

    Libarkin, Julie C.; Thomas, Stephen R.; Ording, Gabriel

    2015-01-01

    Exploratory factor analysis was used to identify models underlying drawings of the greenhouse effect made by over 200 entering university freshmen. Initial content analysis allowed deconstruction of drawings into salient features, with grouping of these features via factor analysis. A resulting 4-factor solution explains 62% of the data variance,…

  13. Confirmatory factor analysis applied to the Force Concept Inventory

    Science.gov (United States)

    Eaton, Philip; Willoughby, Shannon D.

    2018-06-01

    In 1995, Huffman and Heller used exploratory factor analysis to draw into question the factors of the Force Concept Inventory (FCI). Since then several papers have been published examining the factors of the FCI on larger sets of student responses and understandable factors were extracted as a result. However, none of these proposed factor models have been verified to not be unique to their original sample through the use of independent sets of data. This paper seeks to confirm the factor models proposed by Scott et al. in 2012, and Hestenes et al. in 1992, as well as another expert model proposed within this study through the use of confirmatory factor analysis (CFA) and a sample of 20 822 postinstruction student responses to the FCI. Upon application of CFA using the full sample, all three models were found to fit the data with acceptable global fit statistics. However, when CFA was performed using these models on smaller sample sizes the models proposed by Scott et al. and Eaton and Willoughby were found to be far more stable than the model proposed by Hestenes et al. The goodness of fit of these models to the data suggests that the FCI can be scored on factors that are not unique to a single class. These scores could then be used to comment on how instruction methods effect the performance of students along a single factor and more in-depth analyses of curriculum changes may be possible as a result.

  14. Collaboration for the design of an irradiation line in the Tandetron area

    International Nuclear Information System (INIS)

    Quezada G, A.

    2006-01-01

    Presently work is sought to contribute in the design of a new line for the Tandetron accelerator that allows the application of other analytical techniques as its are: Rutherford backscattering analysis (RBS), elastic setback scattering analysis (ERDA) elastic scattering toward ahead (EFA) and materials modification by means of the particle beams application. (Author)

  15. Psychometric Evaluation of the Eating Disorder Examination-Questionnaire for Bariatric Surgery Candidates

    Science.gov (United States)

    Hrabosky, Joshua I.; White, Marney A.; Masheb, Robin M.; Rothschild, Bruce S.; Burke-Martindale, Carolyn H.; Grilo, Carlos M.

    2013-01-01

    Objective Despite increasing use of the Eating Disorder Examination-Questionnaire (EDE-Q) in bariatric surgery patients, little is known about the utility and psychometric performance of this self-report measure in this clinical group. The primary purpose of the current study was to evaluate the factor structure and construct validity of the EDE-Q in a large series of bariatric surgery candidates. Methods and Procedures Participants were 337 obese bariatric surgery candidates. Participants completed the EDE-Q and a battery of behavioral and psychological measures. Results Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) produced a 12-item, 4-factor structure of the EDE-Q. The four factors, interpreted as Dietary Restraint, Eating Disturbance, Appearance Concerns, and Shape/Weight Overvaluation, were found to be internally consistent and converged with other relevant measures of psychopathology. Discussion Factor analysis of the EDE-Q in bariatric surgery candidates did not replicate the original subscales but revealed an alternative factor structure. Future research must further evaluate the psychometric properties, including the factor structure, of the EDE-Q in this and other diverse populations and consider means of improving this measure's ability to best assess eating-related pathology in bariatric surgery patients. PMID:18379561

  16. Critical Factors Analysis for Offshore Software Development Success by Structural Equation Modeling

    Science.gov (United States)

    Wada, Yoshihisa; Tsuji, Hiroshi

    In order to analyze the success/failure factors in offshore software development service by the structural equation modeling, this paper proposes to follow two approaches together; domain knowledge based heuristic analysis and factor analysis based rational analysis. The former works for generating and verifying of hypothesis to find factors and causalities. The latter works for verifying factors introduced by theory to build the model without heuristics. Following the proposed combined approaches for the responses from skilled project managers of the questionnaire, this paper found that the vendor property has high causality for the success compared to software property and project property.

  17. Analysis of IFR driver fuel hot channel factors

    International Nuclear Information System (INIS)

    Ku, J.Y.; Chang, L.K.; Mohr, D.

    1994-01-01

    Thermal-hydraulic uncertainty factors for Integral Fast Reactor (IFR) driver fuels have been determined based primarily on the database obtained from the predecessor fuels used in the IFR prototype, Experimental Breeder Reactor II. The uncertainty factors were applied to the channel factors (HCFs) analyses to obtain separate overall HCFs for fuel and cladding for steady-state analyses. A ''semistatistical horizontal method'' was used in the HCFs analyses. The uncertainty factor of the fuel thermal conductivity dominates the effects considered in the HCFs analysis; the uncertainty in fuel thermal conductivity will be reduced as more data are obtained to expand the currently limited database for the IFR ternary metal fuel (U-20Pu-10Zr). A set of uncertainty factors to be used for transient analyses has also been derived

  18. Analysis of IFR driver fuel hot channel factors

    International Nuclear Information System (INIS)

    Ku, J.Y.; Chang, L.K.; Mohr, D.

    2004-01-01

    Thermal-hydraulic uncertainty factors for Integral Fast Reactor (IFR) driver fuels have been determined based primarily on the database obtained from the predecessor fuels used in the IFR prototype. Experimental Breeder Reactor II. The uncertainty factors were applied to the hot channel factors (HCFs) analyses to obtain separate overall HCFs for fuel and cladding for steady-state analyses. A 'semistatistical horizontal method' was used in the HCFs analyses. The uncertainty factor of the fuel thermal conductivity dominates the effects considered in the HCFs analysis; the uncertainty in fuel thermal conductivity will be reduced as more data are obtained to expand the currently limited database for the IFR ternary metal fuel (U-20Pu-10Zr). A set of uncertainty factors to be used for transient analyses has also been derived. (author)

  19. Economic Analysis of Factors Affecting Technical Efficiency of ...

    African Journals Online (AJOL)

    Economic Analysis of Factors Affecting Technical Efficiency of Smallholders ... socio-economic characteristics which influence technical efficiency in maize production. ... Ministry of Agriculture and livestock, records, books, reports and internet.

  20. Sparse multivariate factor analysis regression models and its applications to integrative genomics analysis.

    Science.gov (United States)

    Zhou, Yan; Wang, Pei; Wang, Xianlong; Zhu, Ji; Song, Peter X-K

    2017-01-01

    The multivariate regression model is a useful tool to explore complex associations between two kinds of molecular markers, which enables the understanding of the biological pathways underlying disease etiology. For a set of correlated response variables, accounting for such dependency can increase statistical power. Motivated by integrative genomic data analyses, we propose a new methodology-sparse multivariate factor analysis regression model (smFARM), in which correlations of response variables are assumed to follow a factor analysis model with latent factors. This proposed method not only allows us to address the challenge that the number of association parameters is larger than the sample size, but also to adjust for unobserved genetic and/or nongenetic factors that potentially conceal the underlying response-predictor associations. The proposed smFARM is implemented by the EM algorithm and the blockwise coordinate descent algorithm. The proposed methodology is evaluated and compared to the existing methods through extensive simulation studies. Our results show that accounting for latent factors through the proposed smFARM can improve sensitivity of signal detection and accuracy of sparse association map estimation. We illustrate smFARM by two integrative genomics analysis examples, a breast cancer dataset, and an ovarian cancer dataset, to assess the relationship between DNA copy numbers and gene expression arrays to understand genetic regulatory patterns relevant to the disease. We identify two trans-hub regions: one in cytoband 17q12 whose amplification influences the RNA expression levels of important breast cancer genes, and the other in cytoband 9q21.32-33, which is associated with chemoresistance in ovarian cancer. © 2016 WILEY PERIODICALS, INC.

  1. Factor analysis of the Hamilton Depression Rating Scale in Parkinson's disease.

    Science.gov (United States)

    Broen, M P G; Moonen, A J H; Kuijf, M L; Dujardin, K; Marsh, L; Richard, I H; Starkstein, S E; Martinez-Martin, P; Leentjens, A F G

    2015-02-01

    Several studies have validated the Hamilton Depression Rating Scale (HAMD) in patients with Parkinson's disease (PD), and reported adequate reliability and construct validity. However, the factorial validity of the HAMD has not yet been investigated. The aim of our analysis was to explore the factor structure of the HAMD in a large sample of PD patients. A principal component analysis of the 17-item HAMD was performed on data of 341 PD patients, available from a previous cross sectional study on anxiety. An eigenvalue ≥1 was used to determine the number of factors. Factor loadings ≥0.4 in combination with oblique rotations were used to identify which variables made up the factors. Kaiser-Meyer-Olkin measure (KMO), Cronbach's alpha, Bartlett's test, communality, percentage of non-redundant residuals and the component correlation matrix were computed to assess factor validity. KMO verified the sample's adequacy for factor analysis and Cronbach's alpha indicated a good internal consistency of the total scale. Six factors had eigenvalues ≥1 and together explained 59.19% of the variance. The number of items per factor varied from 1 to 6. Inter-item correlations within each component were low. There was a high percentage of non-redundant residuals and low communality. This analysis demonstrates that the factorial validity of the HAMD in PD is unsatisfactory. This implies that the scale is not appropriate for studying specific symptom domains of depression based on factorial structure in a PD population. Copyright © 2014 Elsevier Ltd. All rights reserved.

  2. Dimensions of Safety Climate among Iranian Nurses

    Directory of Open Access Journals (Sweden)

    Z Naghavi Konjin

    2015-10-01

    Full Text Available Background: Workplace safety has been a concern of workers and managers for decades. Measuring safety climate is crucial in improving safety performance. It is also a method of benchmarking safety perception. Objective: To develop and validate a psychometrics scale for measuring nurses' safety climate. Methods: Literature review, subject matter experts and nurse's judgment were used in items developing. Content validity and reliability for new tool were tested by content validity index (CVI and test-retest analysis, respectively. Exploratory factor analysis (EFA with varimax rotation was used to improve the interpretation of latent factors. Results: A 40-item scale in 6 factors was developed, which could explain 55% of the observed variance. The 6 factors included employees' involvement in safety and management support, compliance with safety rules, safety training and accessibility to personal protective equipment, hindrance to safe work, safety communication and job pressure, and individual risk perception. Conclusion: The proposed scale can be used in identifying the needed areas to implement interventions in safety climate of nurses.

  3. Development of the multiple sclerosis (MS) early mobility impairment questionnaire (EMIQ).

    Science.gov (United States)

    Ziemssen, Tjalf; Phillips, Glenn; Shah, Ruchit; Mathias, Adam; Foley, Catherine; Coon, Cheryl; Sen, Rohini; Lee, Andrew; Agarwal, Sonalee

    2016-10-01

    The Early Mobility Impairment Questionnaire (EMIQ) was developed to facilitate early identification of mobility impairments in multiple sclerosis (MS) patients. We describe the initial development of the EMIQ with a focus on the psychometric evaluation of the questionnaire using classical and item response theory methods. The initial 20-item EMIQ was constructed by clinical specialists and qualitatively tested among people with MS and physicians via cognitive interviews. Data from an observational study was used to make additional updates to the instrument based on exploratory factor analysis (EFA) and item response theory (IRT) analysis, and psychometric analyses were performed to evaluate the reliability and validity of the final instrument's scores and screening properties (i.e., sensitivity and specificity). Based on qualitative interview analyses, a revised 15-item EMIQ was included in the observational study. EFA, IRT and item-to-item correlation analyses revealed redundant items which were removed leading to the final nine-item EMIQ. The nine-item EMIQ performed well with respect to: test-retest reliability (ICC = 0.858); internal consistency (α = 0.893); convergent validity; and known-groups methods for construct validity. A cut-point of 41 on the 0-to-100 scale resulted in sufficient sensitivity and specificity statistics for viably identifying patients with mobility impairment. The EMIQ is a content valid and psychometrically sound instrument for capturing MS patients' experience with mobility impairments in a clinical practice setting. Additional research is suggested to further confirm the EMIQ's screening properties over time.

  4. Predicting Alcohol Misuse Among College Students in the US and South Korea.

    Science.gov (United States)

    Kim, Sang-Yeon; Ahn, Seokhoon; Lim, Tae-Seop

    2015-01-01

    This study examines contributing factors of alcohol misuse among college students in South Korea and the U.S. Exploratory factor analyses (EFA) on measurements of alcohol expectancy, alcohol efficacy, and accommodation resulted in social and personal causes for alcohol misuse. Social causes alone predicted alcohol misuse for both countries. Social factors constituted a much stronger predictor of alcohol misuse among South Korean students than among American students. Practical implications for effective deterrence of student binge drinking are discussed.

  5. Development of internalized and personal stigma among patients with and without HIV infection and occupational stigma among health care providers in Southern China

    Directory of Open Access Journals (Sweden)

    Li J

    2016-11-01

    Full Text Available Jing Li,1,2,* Sawitri Assanangkornchai,1,* Lin Lu,3 Manhong Jia,3,* Edward B McNeil,1,* Jing You,4,* Virasakdi Chongsuvivatwong1,* 1Epidemiology Unit, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, Thailand; 2School of Public Health, Kunming Medical University, 3Yunnan Center for Disease Prevention and Control, 4Infectious Diseases Department, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan Province, People’s Republic of China *These authors contributed equally to this work Background: HIV/AIDS-related stigma is a major barrier of access to care for those infected with HIV. The aim of this study was to examine, validate, and adapt measuring scales of internalized, personal, and occupational stigma developed in Africa into a Chinese context. Methods: A cross-sectional study was conducted from January to September 2015 in Kunming, People’s Republic of China. Various scales were constructed on the basis of the previous studies with modifications by experts using exploratory and confirmatory factor analyses (EFA + CFA. Validation of the new scales was done using multiple linear regression models and hypothesis testing of the factorial structure invariance. Results: The numbers of subjects recruited for the development/validation samples were 696/667 HIV-positive patients, 699/667 non-HIV patients, and 157/155 health care providers. EFA revealed a two-factor solution for internalized and personal stigma scales (guilt/blaming and being refused/refusing service, which were confirmed by CFA with reliability coefficients (r of 0.869 and 0.853, respectively. The occupational stigma scale was found to have a three-factor structure (blaming, professionalism, and egalitarianism with a reliability coefficient (r of 0.839. Higher correlations of factors in the HIV patients (r=0.537 and non-HIV patients (r=0.703 were observed in contrast to low-level correlations (r=0.231, 0.286, and 0.266 among factors

  6. Probabilistic risk assessment of Chinese residents' exposure to fluoride in improved drinking water in endemic fluorosis areas.

    Science.gov (United States)

    Zhang, Li E; Huang, Daizheng; Yang, Jie; Wei, Xiao; Qin, Jian; Ou, Songfeng; Zhang, Zhiyong; Zou, Yunfeng

    2017-03-01

    Studies have yet to evaluate the effects of water improvement on fluoride concentrations in drinking water and the corresponding health risks to Chinese residents in endemic fluorosis areas (EFAs) at a national level. This paper summarized available data in the published literature (2008-2016) on water fluoride from the EFAs in China before and after water quality was improved. Based on these obtained data, health risk assessment of Chinese residents' exposure to fluoride in improved drinking water was performed by means of a probabilistic approach. The uncertainties in the risk estimates were quantified using Monte Carlo simulation and sensitivity analysis. Our results showed that in general, the average fluoride levels (0.10-2.24 mg/L) in the improved drinking water in the EFAs of China were lower than the pre-intervention levels (0.30-15.24 mg/L). The highest fluoride levels were detected in North and Southwest China. The mean non-carcinogenic risks associated with consumption of the improved drinking water for Chinese residents were mostly accepted (hazard quotient risk of children in most of the EFAs at the 95th percentile exceeded the safe level of 1, indicating the potential non-cancer-causing health effects on this fluoride-exposed population. Sensitivity analyses indicated that fluoride concentration in drinking water, ingestion rate of water, and the exposure time in the shower were the most relevant variables in the model, therefore, efforts should focus mainly on the definition of their probability distributions for a more accurate risk assessment. Copyright © 2016 Elsevier Ltd. All rights reserved.

  7. A Markov Chain Monte Carlo Approach to Confirmatory Item Factor Analysis

    Science.gov (United States)

    Edwards, Michael C.

    2010-01-01

    Item factor analysis has a rich tradition in both the structural equation modeling and item response theory frameworks. The goal of this paper is to demonstrate a novel combination of various Markov chain Monte Carlo (MCMC) estimation routines to estimate parameters of a wide variety of confirmatory item factor analysis models. Further, I show…

  8. EMPLOYMENT LEVEL ANALYSIS FROM THE DETERMINANT FACTORS PERSPECTIVE

    Directory of Open Access Journals (Sweden)

    Elena Diana ŞERB

    2016-02-01

    Full Text Available Neglecting the human factor as part of the labor market causes losses for society as any activity that is initiated within it, has as a starting point, and also as a finishing point, the human intervention. The starting point of the article is represented by the projections made by the European    Commission in the Population Ageing Report in 2015 underlying assumptions and projections, and also by the projections of the United Nations report in 2015, and this resulted in many conclusions including the one that for the first time in Romania the average aging in 2015 exceeds the values measured by EU till present day, and this is reflected in the employment level (active aging population. The hypothesis behind the article is that the evolution of the population and migrants has repercussions on employment. Structured in three parts: knowledge status, the analysis of employment indicators and information about the intensity and direction of the link between a number of factors and employment level, this article aims to establish the determinant factors of employment through a research focused on the analysis of secondary sources, and also using the regression model. The most important lesson learned as a result of this research is that the labor market works with a variety of factors with a higher or lower influence, and in turn the labor market influences other factors.

  9. Factor analysis of the contextual fine motor questionnaire in children.

    Science.gov (United States)

    Lin, Chin-Kai; Meng, Ling-Fu; Yu, Ya-Wen; Chen, Che-Kuo; Li, Kuan-Hua

    2014-02-01

    Most studies treat fine motor as one subscale in a developmental test, hence, further factor analysis of fine motor has not been conducted. In fact, fine motor has been treated as a multi-dimensional domain from both clinical and theoretical perspectives, and therefore to know its factors would be valuable. The aim of this study is to analyze the internal consistency and factor validity of the Contextual Fine Motor Questionnaire (CFMQ). Based on the ecological observation and literature, the Contextual Fine Motor Questionnaire (CFMQ) was developed and includes 5 subscales: Pen Control, Tool Use During Handicraft Activities, the Use of Dining Utensils, Connecting and Separating during Dressing and Undressing, and Opening Containers. The main purpose of this study is to establish the factorial validity of the CFMQ through conducting this factor analysis study. Among 1208 questionnaires, 904 were successfully completed. Data from the children's CFMQ submitted by primary care providers was analyzed, including 485 females (53.6%) and 419 males (46.4%) from grades 1 to 5, ranging in age from 82 to 167 months (M=113.9, SD=16.3). Cronbach's alpha was used to measure internal consistency and explorative factor analysis was applied to test the five factor structures within the CFMQ. Results showed that Cronbach's alpha coefficient of the CFMQ for 5 subscales ranged from .77 to .92 and all item-total correlations with corresponding subscales were larger than .4 except one item. The factor loading of almost all items classified to their factor was larger than .5 except 3 items. There were five factors, explaining a total of 62.59% variance for the CFMQ. In conclusion, the remaining 24 items in the 5 subscales of the CFMQ had appropriate internal consistency, test-retest reliability and construct validity. Copyright © 2013 Elsevier Ltd. All rights reserved.

  10. Correction factor for hair analysis by PIXE

    International Nuclear Information System (INIS)

    Montenegro, E.C.; Baptista, G.B.; Castro Faria, L.V. de; Paschoa, A.S.

    1980-01-01

    The application of the Particle Induced X-ray Emission (PIXE) technique to analyse quantitatively the elemental composition of hair specimens brings about some difficulties in the interpretation of the data. The present paper proposes a correction factor to account for the effects of the energy loss of the incident particle with penetration depth, and X-ray self-absorption when a particular geometrical distribution of elements in hair is assumed for calculational purposes. The correction factor has been applied to the analysis of hair contents Zn, Cu and Ca as a function of the energy of the incident particle. (orig.)

  11. Correction factor for hair analysis by PIXE

    International Nuclear Information System (INIS)

    Montenegro, E.C.; Baptista, G.B.; Castro Faria, L.V. de; Paschoa, A.S.

    1979-06-01

    The application of the Particle Induced X-ray Emission (PIXE) technique to analyse quantitatively the elemental composition of hair specimens brings about some difficulties in the interpretation of the data. The present paper proposes a correction factor to account for the effects of energy loss of the incident particle with penetration depth, and x-ray self-absorption when a particular geometrical distribution of elements in hair is assumed for calculational purposes. The correction factor has been applied to the analysis of hair contents Zn, Cu and Ca as a function of the energy of the incident particle.(Author) [pt

  12. Investigating product development strategy in beverage industry using factor analysis

    Directory of Open Access Journals (Sweden)

    Naser Azad

    2013-03-01

    Full Text Available Selecting a product development strategy that is associated with the company's current service or product innovation, based on customers’ needs and changing environment, plays an important role in increasing demand, increasing market share, increasing sales and profits. Therefore, it is important to extract effective variables associated with product development to improve performance measurement of firms. This paper investigates important factors influencing product development strategies using factor analysis. The proposed model of this paper investigates 36 factors and, using factor analysis, we extract six most influential factors including information sharing, intelligence information, exposure strategy, differentiation, research and development strategy and market survey. The first strategy, partnership, includes five sub-factor including product development partnership, partnership with foreign firms, customers’ perception from competitors’ products, Customer involvement in product development, inter-agency coordination, customer-oriented approach to innovation and transmission of product development change where inter-agency coordination has been considered the most important factor. Internal strengths are the most influential factors impacting the second strategy, intelligence information. The third factor, introducing strategy, introducing strategy, includes four sub criteria and consumer buying behavior is the most influencing factor. Differentiation is the next important factor with five components where knowledge and expertise in product innovation is the most important one. Research and development strategy with four sub-criteria where reducing product development cycle plays the most influential factor and finally, market survey strategy is the last important factor with three factors and finding new market plays the most important role.

  13. Environmental Performance in Countries Worldwide: Determinant Factors and Multivariate Analysis

    Directory of Open Access Journals (Sweden)

    Isabel Gallego-Alvarez

    2014-11-01

    Full Text Available The aim of this study is to analyze the environmental performance of countries and the variables that can influence it. At the same time, we performed a multivariate analysis using the HJ-biplot, an exploratory method that looks for hidden patterns in the data, obtained from the usual singular value decomposition (SVD of the data matrix, to contextualize the countries grouped by geographical areas and the variables relating to environmental indicators included in the environmental performance index. The sample used comprises 149 countries of different geographic areas. The findings obtained from the empirical analysis emphasize that socioeconomic factors, such as economic wealth and education, as well as institutional factors represented by the style of public administration, in particular control of corruption, are determinant factors of environmental performance in the countries analyzed. In contrast, no effect on environmental performance was found for factors relating to the internal characteristics of a country or political factors.

  14. Potential of satellite-derived ecosystem functional attributes to anticipate species range shifts

    Science.gov (United States)

    Alcaraz-Segura, Domingo; Lomba, Angela; Sousa-Silva, Rita; Nieto-Lugilde, Diego; Alves, Paulo; Georges, Damien; Vicente, Joana R.; Honrado, João P.

    2017-05-01

    In a world facing rapid environmental changes, anticipating their impacts on biodiversity is of utmost relevance. Remotely-sensed Ecosystem Functional Attributes (EFAs) are promising predictors for Species Distribution Models (SDMs) by offering an early and integrative response of vegetation performance to environmental drivers. Species of high conservation concern would benefit the most from a better ability to anticipate changes in habitat suitability. Here we illustrate how yearly projections from SDMs based on EFAs could reveal short-term changes in potential habitat suitability, anticipating mid-term shifts predicted by climate-change-scenario models. We fitted two sets of SDMs for 41 plant species of conservation concern in the Iberian Peninsula: one calibrated with climate variables for baseline conditions and projected under two climate-change-scenarios (future conditions); and the other calibrated with EFAs for 2001 and projected annually from 2001 to 2013. Range shifts predicted by climate-based models for future conditions were compared to the 2001-2013 trends from EFAs-based models. Projections of EFAs-based models estimated changes (mostly contractions) in habitat suitability that anticipated, for the majority (up to 64%) of species, the mid-term shifts projected by traditional climate-change-scenario forecasting, and showed greater agreement with the business-as-usual scenario than with the sustainable-development one. This study shows how satellite-derived EFAs can be used as meaningful essential biodiversity variables in SDMs to provide early-warnings of range shifts and predictions of short-term fluctuations in suitable conditions for multiple species.

  15. A kernel version of spatial factor analysis

    DEFF Research Database (Denmark)

    Nielsen, Allan Aasbjerg

    2009-01-01

    . Schölkopf et al. introduce kernel PCA. Shawe-Taylor and Cristianini is an excellent reference for kernel methods in general. Bishop and Press et al. describe kernel methods among many other subjects. Nielsen and Canty use kernel PCA to detect change in univariate airborne digital camera images. The kernel...... version of PCA handles nonlinearities by implicitly transforming data into high (even infinite) dimensional feature space via the kernel function and then performing a linear analysis in that space. In this paper we shall apply kernel versions of PCA, maximum autocorrelation factor (MAF) analysis...

  16. Evaluation of the Psychometric Properties of NOC Outcomes "Anxiety Level" and "Anxiety Self-Control" in a Portuguese Outpatient Sample.

    Science.gov (United States)

    Sampaio, Francisco Miguel Correia; Araújo, Odete Sofia Silva Lomba; Sequeira, Carlos Alberto da Cruz; Lluch Canut, María Teresa; Martins, Teresa

    2017-01-25

    To adopt the language and to evaluate the psychometric properties of "Anxiety level" and "Anxiety self-control" NOC outcomes in Portuguese adult patients. Methodological design. The final European Portuguese version of the NOC outcome "Anxiety level," composed by 16 indicators, proved excellent internal consistency. Exploratory factor analysis (EFA) was forced to three factors. The NOC outcome "Anxiety self-control," composed of nine indicators, demonstrated a questionable internal consistency. EFA was forced to two factors. European Portuguese versions of the studied NOC outcomes proved to be tools with acceptable psychometric properties for evaluating anxiety in Portuguese patients. This study contributed to the development of NOC language and to the enrichment of nursing's body of knowledge. Adaptar a linguagem e avaliar as propriedades psicométricas dos resultados NOC "Nível de ansiedade" e "Autocontrolo da ansiedade" em utentes portugueses adultos. MÉTODOS: Estudo metodológico. A versão portuguesa do resultado NOC "Nível de ansiedade", composta por 16 indicadores, apresentou uma excelente consistência interna. A análise fatorial exploratória (AFE) foi forçada a três dimensões. O resultado NOC "Autocontrolo da ansiedade", composto por nove indicadores, apresentou uma consistência interna questionável. A AFE foi forçada a duas dimensões. CONCLUSÕES: As versões portuguesas dos resultados NOC estudados são instrumentos com propriedades psicométricas aceitáveis para avaliar a ansiedade em utentes portugueses. IMPLICAÇÕES PARA A PRÁTICA DE ENFERMAGEM: Este estudo contribuiu para o desenvolvimento da linguagem NOC e para enriquecer o corpo de conhecimento de Enfermagem. © 2017 NANDA International, Inc.

  17. AN EMPIRICAL STUDY FOR RADIO FREQUENCY IDENTIFICATION (RFID ADOPTION BY SMEs IN THE TAIWANESE INFORMATION TECHNOLOGY (IT INDUSTRY

    Directory of Open Access Journals (Sweden)

    Hsin Chen

    2012-07-01

    Full Text Available Radio Frequency Identification (RFID technology represents a common standard for data storage and retrieval that could improve collaboration and data sharing between non-competing organisations. With the advent of RFID, organisations have the opportunity to rethink how their organisation will operate and integrate in the supply chain. Especially for Small to Medium Sized Enterprises (SMEs, that they have limited resources adopting such an innovative technology (i.e. RFID the adoption decision can be daunting. Literature indicates that SMEs that decide to go on with implementation have so far only a few guidelines from either private companies or public authorities regarding awareness on specific opportunities and risks. This research is therefore trying to explore in detail the factors that affect SMEs' RFID adoption in the Taiwan Information Technology (IT manufacturing industry. We are employing Exploratory Factor Analysis (EFA techniques and utilising a questionnaire survey in order to collect and analyse our data. After classifying the responding SMEs into three different adopters categories named ready adopter, initiator adopter and unprepared adopter using EFA technique our results show that each category has some specific adoption factors related to their unique situation. These are for ready adopters: cost and management, for initiator adopters: competitiveness and process efficiency and unprepared adopters: IT management difficulties, IT implementation difficulties and cost of implementation. A SMEs RFID adoption model is then proposed. It is anticipated that the findings of this research will not only enhance the research in RFID adoption in SMEs, but can also act as a reference for practitioners in the industry and researchers in the academic field.

  18. Factor analysis of serogroups botanica and aurisina of Leptospira biflexa.

    Science.gov (United States)

    Cinco, M

    1977-11-01

    Factor analysis is performed on serovars of Botanica and Aurisina serogroup of Leptospira biflexa. The results show the arrangement of main factors serovar and serogroup specific, as well as the antigens common with serovars of heterologous serogroups.

  19. Girls' Access to Education in China: Actors, Cultures and the Windmill of Development Management. CREATE Pathways to Access. Research Monograph No. 39

    Science.gov (United States)

    Wang, Xiaojun Grace

    2010-01-01

    The world has a mixed record towards achieving EFA [Education for All] and the MDGs [Millennium Development Goals] in relation to the targets on gender equity in basic education. For researchers and practitioners, this raises the question of which factors influence the processes leading to the improvement of access and quality of girls' education…

  20. Effect of high-dose growth hormone and glutamine on body composition, urine creatinine excretion, fatty acid absorption, and essential fatty acids status in short bowel patients - A randomized, double-blind, crossover, placebo-controlled study

    DEFF Research Database (Denmark)

    Jeppesen, P.B.; Szkudlarek, J.; Høy, Carl-Erik

    2001-01-01

    Background: Positive effects of high dose growth hormone and glutamine (GH+GLN) on body composition in short bowel patients have been described. Lack of effects on intestinal absorption found in some studies has been ascribed to concomitant essential fatty acid (EFA) deficiency. This study...... describes changes in body weight (BW) and composition, 24-h urine creatinine excretion, intestinal fatty acid absorption (total, saturated, unsaturated and EFA), and EFA status in relation to treatment with GH+GLN in s short bowel patients. Methods: A double-blind, crossover study between placebo and growth...... with baseline. Twenty-four-hour urine creatinine excretion did not differ between study periods. No changes in intestinal absorption of fatty acids were seen, and no changes in EFAs measured in plasma phospholipids were observed. Only 1 of 8 patients, who did not receive parenteral lipids, had a Holman index...

  1. Stabilization of emulsion and butter like products containing essential fatty acids using kalonji seeds extract and curcuminoids.

    Science.gov (United States)

    Rege, Sameera A; Momin, Shamim A; Bhowmick, Dipti N; Pratap, Amit A

    2012-01-01

    Owing to the tendency of essential fatty acids (EFAs) to undergo autoxidation, their storage becomes a key problem. Generally, they are stabilized by synthetic antioxidants like TBHQ that are toxic in nature. Recently many studies were reported where these EFAs are stabilized by natural antioxidants. In the present study, curcuminoids and kalonji seeds ethanol extract (KEE) were used to stabilize these EFAs in refined sunflower oil (RSFO), water-in-oil (w/o) emulsion and butter like products (BLPs). In RSFO, though curcuminoids alone exerted pro-oxidant effect, KEE and curcuminoids showed synergistic antioxidant activity that was comparable to TBHQ. KEE exhibited good antioxidant activity in emulsions and BLPs, providing fine physical properties like slipping point, dropping point and spreadability. EFAs increased the nutritional value of BLPs and antioxidants added for their stabilization provided their medicinal benefits.

  2. Psychometric Properties of the Physical Activity Questionnaire for Older Children in Italy: Testing the Validity among a General and Clinical Pediatric Population.

    Science.gov (United States)

    Gobbi, Erica; Elliot, Catherine; Varnier, Maurizio; Carraro, Attilio

    2016-01-01

    The purpose of this research was to assess an Italian version of the Physical Activity Questionnaire for Older Children (PAQ-C-It). Three separate studies were conducted, whereby testing general psychometric properties, construct validity, concurrent validity and the factor structure of the PAQ-C-It among general and clinical pediatric population. Study 1 (n = 1170) examined the psychometric properties, internal consistency, factor structure (exploratory factor analysis, EFA) and construct validity with enjoyment perception during physical activity. Study 2 (n = 59) reported on reliability, construct validity with enjoyment and BMI, and on cross-sectional concurrent validity with objectively measured MVPA (tri-axial accelerometry) over the span of seven consecutive days. Study 3 (n = 58) examined the PAQ-C-It reliability, construct validity with BMI and VO2max as the objective measurement among a population of children with congenital heart defects (CHD). In study 2 and 3, the factor structure of the PAQ-C-It was then re-examined with an EFA. The PAQ-C-It showed acceptable to good reliability (alpha .70 to .83). Results on construct validity showed moderate but significant association with enjoyment perception (r = .30 and .36), with BMI (r = -.30 and -.79 for CHD simple form), and with the VO2max (r = .55 for CHD simple form). Significant concurrent validity with the objectively measured MVPA was reported (rho = .30, p PAQ-C-It, with items 2, 3, and 4 contributing little to the total score. This study supports the PAQ-C-It as an appropriate instrument to assess the MVPA levels of Italian children, including children with simple forms of CHD. Support is given to the possible instrument effectiveness on a large international perspective in order to level out data gathering across the globe.

  3. Iranian Health Literacy Questionnaire (IHLQ): An Instrument for Measuring Health Literacy in Iran.

    Science.gov (United States)

    Haghdoost, Ali Akbar; Rakhshani, Fatemeh; Aarabi, Mohsen; Montazeri, Ali; Tavousi, Mahmoud; Solimanian, Atoosa; Sarbandi, Fatemeh; Namdar, Hosein; Iranpour, Abedin

    2015-06-01

    Promoting Health Literacy (HL) is considered as an important goal in strategic plans of many countries. In spite of the necessity for access to valid, reliable and native HL instruments, the number of such instruments in the Persian language is scarce. Moreover, there is no good estimation of HL status in Iran. The aim of this study was to provide a valid, reliable and native instrument to measure and monitor community HL in Iran and also, to provide an estimation of HL status in two Iranian provinces. By applying the multistage cluster sampling, 1080 respondents (540 from each gender) were recruited from Kerman and Mazandaran provinces of Iran, from February to June 2014 to participate in this cross-sectional study. The development of the Iranian Health Literacy Questionnaire (IHLQ) was initiated with a comprehensive review of the literature. Then, face, content and construct validity as well as reliability were determined. Internal consistency and test-retest reliability (ICC) of the factors was in the range of 0.71 to 0.96 and 0.73 to 0.86, respectively. In order to construct validity, Exploratory Factor Analysis (EFA) Kaiser-Meyer-Olkin (KMO) = 0.95 and Bartlett's test result of 3.017 with P < 0.001) with varimax rotation was used. Optimal reduced solution, including 36 items and seven factors, was found in EFA. Five of the factors identified were reading/comprehension skills, individual empowerment, communication/decision-making skills, social empowerment and health knowledge. It was concluded that IHLQ might be a practical and useful tool for investigating HL for Persian language speakers around the world. Since HL is dynamic and its instruments should be regularly revised, further studies are recommended to assess HL with application of IHLQ to detect its potential imperfections.

  4. The Influence of Sports Celebrity Credibility on Purchase Intention: The Moderating Effect of Gender and Consumer Sports-Involvement

    Directory of Open Access Journals (Sweden)

    Natalie Bragança Düsenberg

    2016-01-01

    Full Text Available This study investigates the effects of sport’s celebrity endorsement on purchase intention. More specifically, this study seeks to (1 identify the extent to which the sports celebrity’s credibility influences consumer purchase intention; (2 the extent to which gender moderates the effect of sports celebrity endorsement on purchase intention; and (3 to what extent consumer sports-involvement moderates the effect of a sports celebrity endorsement on purchase intention. One famous Brazilian soccer player and four product categories were used as stimuli. The research method used was a survey, which has included 1,025 respondents. Data analysis was performed using exploratory factor analysis (EFA and confirmatory factor analysis (CFA. Structural equation modeling (SEM, using the ADF technique, was applied to test the substantive hypotheses. To test the hypotheses of the moderating effect of gender and consumer sports-involvement, the research used the multigroup analysis technique. The empirical results support the relationship between a sport celebrity’s endorsement and purchase intention. The moderating effects of gender and sports-involvement were also empirically supported, but only partially.

  5. Message Oriented Approach to WOM Effects in Service Industries

    Directory of Open Access Journals (Sweden)

    MUSTAFA DILBER

    2017-12-01

    Full Text Available In this study a search-based and an experience-based service were examined in Word-of-Mouth (WOM context. The study aimed at revealing the extent to which consumer choices in movie theatre and repair and maintenance shop services are influenced by the experience communicated by personal sources. Four key contributions are planned. Firstly, although it has attracted attention and criticism there is no empirical examination regarding message characteristics. In this study, the effects of messages delivered by senders concerning purchase decisions are investigated. Secondly, a more powerful scale regarding active information search was developed. Thirdly, perceptual homophily and sender characteristics were added to the model in a unique construct. Fourthly, to measure the effects of personal sources a classification of services is applied for the first time in WOM researches in this context. Data was subjected to an exploratory factor analysis (EFA and reliability analysis in the first stage of the analysis. At the second stage, confirmatory factor analysis (CFA was conducted and the model's hypotheses were tested by using structural equation modeling (SEM.

  6. The Analysis of Factors Influencing Effectivenes of Property Taxes in Karanganyar Regency

    Directory of Open Access Journals (Sweden)

    Endang Brotojoyo

    2018-03-01

    Full Text Available The purpose of this study was to test empirically Effect of Compensation, Motivation and External Factors To Performance Officer With Property Taxes Voting in the District Effectiveness Matesih Karanganyar. The analysis technique used is using validity and reliability test, linearity test, regression analysis, path analysis, t test, F test, test the coefficient of determination and correlation analysis. Compensation Hypothesis Test Results significantly influence the effectiveness of tax collection. Motivation significantly influences the effectiveness of tax collection. External factors do not significant effect on effectiveness of tax collection. Compensation significant effect on the performance of Officers. Motivation significant effect on the performance of the Property Taxes polling clerk. External factors do not significant effect on the performance of Officers. Effectiveness of tax collection clerk significant effects on performance. F test results can be concluded jointly variable compensation, motivation, and external factors affecting the effectiveness of tax collection performance. The R2 total of 0,974 means that the performance of the Property Taxes in the district polling officer Matesih Karanganyar explained by the variable compensation, motivation, external factors and the effectiveness of tax collection amounted to 97.4%. The results of path analysis showed that the effective compensation and motivation through a direct path, while external factors are not effective for direct and indirect pathways.

  7. Identifying influential factors of business process performance using dependency analysis

    Science.gov (United States)

    Wetzstein, Branimir; Leitner, Philipp; Rosenberg, Florian; Dustdar, Schahram; Leymann, Frank

    2011-02-01

    We present a comprehensive framework for identifying influential factors of business process performance. In particular, our approach combines monitoring of process events and Quality of Service (QoS) measurements with dependency analysis to effectively identify influential factors. The framework uses data mining techniques to construct tree structures to represent dependencies of a key performance indicator (KPI) on process and QoS metrics. These dependency trees allow business analysts to determine how process KPIs depend on lower-level process metrics and QoS characteristics of the IT infrastructure. The structure of the dependencies enables a drill-down analysis of single factors of influence to gain a deeper knowledge why certain KPI targets are not met.

  8. Confirmatory Factor Analysis of the WISC-III with Child Psychiatric Inpatients.

    Science.gov (United States)

    Tupa, David J.; Wright, Margaret O'Dougherty; Fristad, Mary A.

    1997-01-01

    Factor models of the Wechsler Intelligence Scale for Children-Third Edition (WISC-III) for one, two, three, and four factors were tested using confirmatory factor analysis with a sample of 177 child psychiatric inpatients. The four-factor model proposed in the WISC-III manual provided the best fit to the data. (SLD)

  9. Factors that Affect Poverty Areas in North Sumatera Using Discriminant Analysis

    Science.gov (United States)

    Nasution, D. H.; Bangun, P.; Sitepu, H. R.

    2018-04-01

    In Indonesia, especially North Sumatera, the problem of poverty is one of the fundamental problems that become the focus of government both central and local government. Although the poverty rate decreased but the fact is there are many people who are poor. Poverty happens covers several aspects such as education, health, demographics, and also structural and cultural. This research will discuss about several factors such as population density, Unemployment Rate, GDP per capita ADHK, ADHB GDP per capita, economic growth and life expectancy that affect poverty in Indonesia. To determine the factors that most influence and differentiate the level of poverty of the Regency/City North Sumatra used discriminant analysis method. Discriminant analysis is one multivariate analysis technique are used to classify the data into a group based on the dependent variable and independent variable. Using discriminant analysis, it is evident that the factor affecting poverty is Unemployment Rate.

  10. URBANIZATION ALTERS FATTY ACID CONCENTRATIONS OF STREAM FOOD WEBS IN THE NARRAGANSETT BAY WATERSHED

    Science.gov (United States)

    Urbanization and associated human activities negatively affect stream algal and invertebrate assemblages, likely altering food webs. Our goal was to determine if urbanization affects food web essential fatty acids (EFAs) and if EFAs could be useful ecological indicators in monito...

  11. Seismic analysis response factors and design margins of piping systems

    International Nuclear Information System (INIS)

    Shieh, L.C.; Tsai, N.C.; Yang, M.S.; Wong, W.L.

    1985-01-01

    The objective of the simplified methods project of the Seismic Safety Margins Research Program is to develop a simplified seismic risk methodology for general use. The goal is to reduce seismic PRA costs to roughly 60 man-months over a 6 to 8 month period, without compromising the quality of the product. To achieve the goal, it is necessary to simplify the calculational procedure of the seismic response. The response factor approach serves this purpose. The response factor relates the median level response to the design data. Through a literature survey, we identified the various seismic analysis methods adopted in the U.S. nuclear industry for the piping system. A series of seismic response calculations was performed. The response factors and their variabilities for each method of analysis were computed. A sensitivity study of the effect of piping damping, in-structure response spectra envelop method, and analysis method was conducted. In addition, design margins, which relate the best-estimate response to the design data, are also presented

  12. A reliable measure of frailty for a community dwelling older population

    Directory of Open Access Journals (Sweden)

    Fletcher Astrid

    2010-10-01

    Full Text Available Abstract Background Frailty remains an elusive concept despite many efforts to define and measure it. The difficulty in translating the clinical profile of frail elderly people into a quantifiable assessment tool is due to the complex and heterogeneous nature of their health problems. Viewing frailty as a 'latent vulnerability' in older people this study aims to derive a model based measurement of frailty and examines its internal reliability in community dwelling elderly. Method The British Women's Heart and Health Study (BWHHS cohort of 4286 women aged 60-79 years from 23 towns in Britain provided 35 frailty indicators expressed as binary categorical variables. These indicators were corrected for measurement error and assigned relative weights in its association with frailty. Exploratory factor analysis (EFA reduced the data to a smaller number of factors and was subjected to confirmatory factor analysis (CFAwhich restricted the model by fitting the EFA-driven structure to observed data. Cox regression analysis compared the hazard ratios for adverse outcomes of the newly developed British frailty index (FI with a widely known FI. This process was replicated in the MRC Assessment study of older people, a larger cohort drawn from 106 general practices in Britain. Results Seven factors explained the association between frailty indicators: physical ability, cardiac symptoms/disease, respiratory symptoms/disease, physiological measures, psychological problems, co-morbidities and visual impairment. Based on existing concepts and statistical indices of fit, frailty was best described using a General Specific Model. The British FI would serve as a better population metric than the FI as it enables people with varying degrees of frailty to be better distinguished over a wider range of scores. The British FI was a better independent predictor of all-cause mortality, hospitalization and institutionalization than the FI in both cohorts. Conclusions

  13. Users’ support as a social resource in educational services: construct validity and measurement invariance of the User-Initiated Support Scale (UISS

    Directory of Open Access Journals (Sweden)

    Barbara Loera

    2016-08-01

    Full Text Available Social support is an important resource for reducing the risks of stress and burnout at work. It seems to be particularly helpful for educational and social professionals. The constant and intense relationships with users that characterize this kind of service can be very demanding, increasing stress and leading to burnout. While significant attention has been paid to supervisors and colleagues in the literature, users have rarely been considered as possible sources of social support. The only exception is the Zimmermann et al.’ (2011 research, focused on customer support as a resource for workers’ well-being. This paper proposes the validation of the customer-initiated support scale developed by Zimmermann et al. (2011, translated into Italian and focused on educational services users (children’s parents, to measure the user support perceived by workers: the User-Initiated Support Scale (UISS. In Study 1 (105 teachers, which specifically involved educators and kindergarten teachers, the items and scale properties were preliminarily examined using descriptive analyses and exploratory factor analysis (EFA. In Study 2 (304 teachers, the construct and criterion validity and scale dimensionality were analyzed using confirmatory factor analysis (CFA. In Study 3 (304 teachers from Study 2 and 296 educators, measurement invariance was tested. The EFA results from Study 1 showed a one-factor solution (explained variance, 67.2%. The scale showed good internal coherence (alpha = .88. The CFA in Study 2 validated the one-factor solution (CFI = .987; SRMR = .054. Bivariate correlations confirmed construct validity; the UISS was positively associated (convergent with user gratitude, and not associated (divergent with disproportionate customer expectations. Regarding the criterion validity test, the UISS was strongly correlated with burnout and job satisfaction. The analysis of measurement invariance performed on the Study 3 data confirmed the equality

  14. Users’ Support as a Social Resource in Educational Services: Construct Validity and Measurement Invariance of the User-Initiated Support Scale (UISS)

    Science.gov (United States)

    Loera, Barbara; Martini, Mara; Viotti, Sara; Converso, Daniela

    2016-01-01

    Social support is an important resource for reducing the risks of stress and burnout at work. It seems to be particularly helpful for educational and social professionals. The constant and intense relationships with users that characterize this kind of service can be very demanding, increasing stress and leading to burnout. While significant attention has been paid to supervisors and colleagues in the literature, users have rarely been considered as possible sources of social support. The only exception is the Zimmermann et al.’s (2011) research, focused on customer support as a resource for workers’ well-being. This paper proposes the validation of the customer-initiated support scale developed by Zimmermann et al. (2011), translated into Italian and focused on educational services users (children’s parents), to measure the user support perceived by workers: the User-Initiated Support Scale (UISS). In Study 1 (105 teachers), which specifically involved educators and kindergarten teachers, the items and scale properties were preliminarily examined using descriptive analyses and exploratory factor analysis (EFA). In Study 2 (304 teachers), the construct and criterion validity and scale dimensionality were analyzed using confirmatory factor analysis (CFA). In Study 3 (304 teachers from Study 2 and 296 educators), measurement invariance (MI) was tested. The EFA results from Study 1 showed a one-factor solution (explained variance, 67.2%). The scale showed good internal coherence (alpha = 0.88). The CFA in Study 2 validated the one-factor solution (comparative fit index = 0.987; standardized root mean square residual = 0.054). Bivariate correlations confirmed construct validity; the UISS was positively associated (convergent) with user gratitude, and not associated (divergent) with disproportionate customer expectations. Regarding the criterion validity test, the UISS was strongly correlated with burnout and job satisfaction. The analysis of MI performed on the

  15. Users' Support as a Social Resource in Educational Services: Construct Validity and Measurement Invariance of the User-Initiated Support Scale (UISS).

    Science.gov (United States)

    Loera, Barbara; Martini, Mara; Viotti, Sara; Converso, Daniela

    2016-01-01

    Social support is an important resource for reducing the risks of stress and burnout at work. It seems to be particularly helpful for educational and social professionals. The constant and intense relationships with users that characterize this kind of service can be very demanding, increasing stress and leading to burnout. While significant attention has been paid to supervisors and colleagues in the literature, users have rarely been considered as possible sources of social support. The only exception is the Zimmermann et al.'s (2011) research, focused on customer support as a resource for workers' well-being. This paper proposes the validation of the customer-initiated support scale developed by Zimmermann et al. (2011), translated into Italian and focused on educational services users (children's parents), to measure the user support perceived by workers: the User-Initiated Support Scale (UISS). In Study 1 (105 teachers), which specifically involved educators and kindergarten teachers, the items and scale properties were preliminarily examined using descriptive analyses and exploratory factor analysis (EFA). In Study 2 (304 teachers), the construct and criterion validity and scale dimensionality were analyzed using confirmatory factor analysis (CFA). In Study 3 (304 teachers from Study 2 and 296 educators), measurement invariance (MI) was tested. The EFA results from Study 1 showed a one-factor solution (explained variance, 67.2%). The scale showed good internal coherence (alpha = 0.88). The CFA in Study 2 validated the one-factor solution (comparative fit index = 0.987; standardized root mean square residual = 0.054). Bivariate correlations confirmed construct validity; the UISS was positively associated (convergent) with user gratitude, and not associated (divergent) with disproportionate customer expectations. Regarding the criterion validity test, the UISS was strongly correlated with burnout and job satisfaction. The analysis of MI performed on the Study 3

  16. Logistic Regression and Path Analysis Method to Analyze Factors influencing Students’ Achievement

    Science.gov (United States)

    Noeryanti, N.; Suryowati, K.; Setyawan, Y.; Aulia, R. R.

    2018-04-01

    Students' academic achievement cannot be separated from the influence of two factors namely internal and external factors. The first factors of the student (internal factors) consist of intelligence (X1), health (X2), interest (X3), and motivation of students (X4). The external factors consist of family environment (X5), school environment (X6), and society environment (X7). The objects of this research are eighth grade students of the school year 2016/2017 at SMPN 1 Jiwan Madiun sampled by using simple random sampling. Primary data are obtained by distributing questionnaires. The method used in this study is binary logistic regression analysis that aims to identify internal and external factors that affect student’s achievement and how the trends of them. Path Analysis was used to determine the factors that influence directly, indirectly or totally on student’s achievement. Based on the results of binary logistic regression, variables that affect student’s achievement are interest and motivation. And based on the results obtained by path analysis, factors that have a direct impact on student’s achievement are students’ interest (59%) and students’ motivation (27%). While the factors that have indirect influences on students’ achievement, are family environment (97%) and school environment (37).

  17. Confirmatory Factor Analysis of the Delirium Rating Scale Revised-98 (DRS-R98).

    Science.gov (United States)

    Thurber, Steven; Kishi, Yasuhiro; Trzepacz, Paula T; Franco, Jose G; Meagher, David J; Lee, Yanghyun; Kim, Jeong-Lan; Furlanetto, Leticia M; Negreiros, Daniel; Huang, Ming-Chyi; Chen, Chun-Hsin; Kean, Jacob; Leonard, Maeve

    2015-01-01

    Principal components analysis applied to the Delirium Rating Scale-Revised-98 contributes to understanding the delirium construct. Using a multisite pooled international delirium database, the authors applied confirmatory factor analysis to Delirium Rating Scale-Revised-98 scores from 859 adult patients evaluated by delirium experts (delirium, N=516; nondelirium, N=343). Confirmatory factor analysis found all diagnostic features and core symptoms (cognitive, language, thought process, sleep-wake cycle, motor retardation), except motor agitation, loaded onto factor 1. Motor agitation loaded onto factor 2 with noncore symptoms (delusions, affective lability, and perceptual disturbances). Factor 1 loading supports delirium as a single construct, but when accompanied by psychosis, motor agitation's role may not be solely as a circadian activity indicator.

  18. Towards automatic analysis of dynamic radionuclide studies using principal-components factor analysis

    International Nuclear Information System (INIS)

    Nigran, K.S.; Barber, D.C.

    1985-01-01

    A method is proposed for automatic analysis of dynamic radionuclide studies using the mathematical technique of principal-components factor analysis. This method is considered as a possible alternative to the conventional manual regions-of-interest method widely used. The method emphasises the importance of introducing a priori information into the analysis about the physiology of at least one of the functional structures in a study. Information is added by using suitable mathematical models to describe the underlying physiological processes. A single physiological factor is extracted representing the particular dynamic structure of interest. Two spaces 'study space, S' and 'theory space, T' are defined in the formation of the concept of intersection of spaces. A one-dimensional intersection space is computed. An example from a dynamic 99 Tcsup(m) DTPA kidney study is used to demonstrate the principle inherent in the method proposed. The method requires no correction for the blood background activity, necessary when processing by the manual method. The careful isolation of the kidney by means of region of interest is not required. The method is therefore less prone to operator influence and can be automated. (author)

  19. Phenotypic factor analysis of psychopathology reveals a new body-related transdiagnostic factor.

    Science.gov (United States)

    Pezzoli, Patrizia; Antfolk, Jan; Santtila, Pekka

    2017-01-01

    Comorbidity challenges the notion of mental disorders as discrete categories. An increasing body of literature shows that symptoms cut across traditional diagnostic boundaries and interact in shaping the latent structure of psychopathology. Using exploratory and confirmatory factor analysis, we reveal the latent sources of covariation among nine measures of psychopathological functioning in a population-based sample of 13024 Finnish twins and their siblings. By implementing unidimensional, multidimensional, second-order, and bifactor models, we illustrate the relationships between observed variables, specific, and general latent factors. We also provide the first investigation to date of measurement invariance of the bifactor model of psychopathology across gender and age groups. Our main result is the identification of a distinct "Body" factor, alongside the previously identified Internalizing and Externalizing factors. We also report relevant cross-disorder associations, especially between body-related psychopathology and trait anger, as well as substantial sex and age differences in observed and latent means. The findings expand the meta-structure of psychopathology, with implications for empirical and clinical practice, and demonstrate shared mechanisms underlying attitudes towards nutrition, self-image, sexuality and anger, with gender- and age-specific features.

  20. The scientific use of factor analysis in behavioral and life sciences

    National Research Council Canada - National Science Library

    Cattell, Raymond Bernard

    1978-01-01

    ...; the choice of procedures in experimentation; factor interpretation; the relationship of factor analysis to broadened psychometric concepts such as scaling, validity, and reliability, and to higher- strata models...

  1. Bayes factor design analysis: Planning for compelling evidence.

    Science.gov (United States)

    Schönbrodt, Felix D; Wagenmakers, Eric-Jan

    2018-02-01

    A sizeable literature exists on the use of frequentist power analysis in the null-hypothesis significance testing (NHST) paradigm to facilitate the design of informative experiments. In contrast, there is almost no literature that discusses the design of experiments when Bayes factors (BFs) are used as a measure of evidence. Here we explore Bayes Factor Design Analysis (BFDA) as a useful tool to design studies for maximum efficiency and informativeness. We elaborate on three possible BF designs, (a) a fixed-n design, (b) an open-ended Sequential Bayes Factor (SBF) design, where researchers can test after each participant and can stop data collection whenever there is strong evidence for either [Formula: see text] or [Formula: see text], and (c) a modified SBF design that defines a maximal sample size where data collection is stopped regardless of the current state of evidence. We demonstrate how the properties of each design (i.e., expected strength of evidence, expected sample size, expected probability of misleading evidence, expected probability of weak evidence) can be evaluated using Monte Carlo simulations and equip researchers with the necessary information to compute their own Bayesian design analyses.

  2. Assessing gender stereotypes and sexual risk practices in men who have sex with men.

    Science.gov (United States)

    Gasch Gallén, Ángel; Tomás Aznar, Concepción; Rubio Aranda, Encarnación

    2017-06-22

    To analyze the construct validity and the internal consistency of the 12-item Bem Sex Role Inventory (BSRI-12) questionnaire and to study the association between gender stereotypes and sexual risk practices in men who have sex with men (MSM). Cross-sectional study of 601 MSM who voluntarily and anonymously responded to an online survey on risk practices and gender stereotypes. The BSRI-12 was used to obtain gender stereotypes (masculine, feminine, undifferentiated and androgynous). For data analysis, exploratory factor analysis (EFA) of the BSRI-12 and logistic regression were performed. Two main factors (Cronbach alpha 0.95 and 0.81) were obtained from the EFA. Using the androgynous roles as the reference category, we found lower odds of engaging in unprotected anal intercourse (UAI) among those who endorse feminine roles (OR: 0.53; 95%CI: 0.29-0.95). Endorsing masculine roles with alcohol consumption (OR: 1.92; 95%CI: 1.15-3.20) or the undifferentiated when not knowing the partner's serological status (OR: 1.55; 95%CI: 1.02-2.35) were associated with higher odds of UAI compared to those endorsing the androgynous roles. Undifferentiated participants also perform receptive UAI using poppers (OR: 2.19; 95%CI: 1.24-3.87), and insertive UAI not knowing the serological status of the sexual partner (OR: 1.69; 95%CI: 1.04-2.76) compared to androgynous participants. The BSRI is a valid and consistent instrument for identifying gender stereotypes in MSM. A greater proportion of participants within the undifferentiated and the masculine category engage in risk practices with the influence of substance consumption and unawareness of their sexual partner's serological status. The information obtained may be useful to define intervention and prevention programs. Copyright © 2017 SESPAS. Publicado por Elsevier España, S.L.U. All rights reserved.

  3. Development of Chinese Version of Polycystic Ovary Syndrome Health-Related Quality of Life Questionnaire (Chi-PCOSQ.

    Directory of Open Access Journals (Sweden)

    Huang-tz Ou

    Full Text Available To develop the Chinese version of the Polycystic Ovary Syndrome Health-related Quality of Life Questionnaire (Chi-PCOSQ.This cross-sectional study was conducted in a medical center in Taiwan. Eighty women who met the criteria were enrolled: female, age range of 18-45 years, competent in the Chinese language, had been diagnosed with polycystic ovary syndrome (PCOS, and were regularly followed at outpatient clinics (defined as at least two outpatient visits before enrollment. The PCOSQ was translated and culturally adapted according to standard procedures. A semi-structured interview was applied to assess face validity. Exploratory factor analysis (EFA was applied to determine scale constructs. Measurements of internal consistency via Cronbach's α, test-retest reliability via intraclass correlation coefficient (ICC, construct validity, and discriminative validity were performed.Five additional items, representing the issues of acne, hair loss, and fear of getting diabetes, were incorporated into the original scale. A six-factor structure emerged as a result of the EFA, explaining 71.9% of the variance observed. The reliability analyses demonstrated satisfactory results for Cronbach's α ranging from 0.78-0.96, and for ICC ranging from 0.73-0.86. Construct validity was confirmed by significant correlation between the domains of the Chi-PCOSQ and generic health-related quality of life (HRQoL measures (WHOQOL-BREF, EQ-5D and clinical parameters (body mass index, waist-hip ratio, blood pressure. The known-group analysis indicated that the Chi-PCOSQ is a discriminative tool that differentiates patients according to their HRQoL.The Chi-PCOSQ seems internally consistent, culturally acceptable, and our preliminary evidence suggests that it may be reliable and valid. The Chi-PCOSQ is a promising assessment tool to address the HRQoL of women affected by PCOS in Chinese-speaking countries and to further identify ethnic/cultural differences in the HRQoL of

  4. Development of Chinese Version of Polycystic Ovary Syndrome Health-Related Quality of Life Questionnaire (Chi-PCOSQ).

    Science.gov (United States)

    Ou, Huang-tz; Wu, Meng-Hsing; Lin, Chung-Ying; Chen, Pei-Chi

    2015-01-01

    To develop the Chinese version of the Polycystic Ovary Syndrome Health-related Quality of Life Questionnaire (Chi-PCOSQ). This cross-sectional study was conducted in a medical center in Taiwan. Eighty women who met the criteria were enrolled: female, age range of 18-45 years, competent in the Chinese language, had been diagnosed with polycystic ovary syndrome (PCOS), and were regularly followed at outpatient clinics (defined as at least two outpatient visits before enrollment). The PCOSQ was translated and culturally adapted according to standard procedures. A semi-structured interview was applied to assess face validity. Exploratory factor analysis (EFA) was applied to determine scale constructs. Measurements of internal consistency via Cronbach's α, test-retest reliability via intraclass correlation coefficient (ICC), construct validity, and discriminative validity were performed. Five additional items, representing the issues of acne, hair loss, and fear of getting diabetes, were incorporated into the original scale. A six-factor structure emerged as a result of the EFA, explaining 71.9% of the variance observed. The reliability analyses demonstrated satisfactory results for Cronbach's α ranging from 0.78-0.96, and for ICC ranging from 0.73-0.86. Construct validity was confirmed by significant correlation between the domains of the Chi-PCOSQ and generic health-related quality of life (HRQoL) measures (WHOQOL-BREF, EQ-5D) and clinical parameters (body mass index, waist-hip ratio, blood pressure). The known-group analysis indicated that the Chi-PCOSQ is a discriminative tool that differentiates patients according to their HRQoL. The Chi-PCOSQ seems internally consistent, culturally acceptable, and our preliminary evidence suggests that it may be reliable and valid. The Chi-PCOSQ is a promising assessment tool to address the HRQoL of women affected by PCOS in Chinese-speaking countries and to further identify ethnic/cultural differences in the HRQoL of women with

  5. Validation of the 36-item version of the WHO Disability Assessment Schedule 2.0 (WHODAS 2.0) for assessing women's disability and functioning associated with maternal morbidity.

    Science.gov (United States)

    Silveira, Carla; Parpinelli, Mary Angela; Pacagnella, Rodolfo Carvalho; Andreucci, Carla Betina; Angelini, Carina Robles; Ferreira, Elton Carlos; Cecatti, José Guilherme

    2017-02-01

    Objective  To validate the translation and adaptation to Brazilian Portuguese of 36 items from the World Health Organizaton Disability Assessment Schedule 2.0 (WHODAS 2.0), regarding their content and structure (construct), in a female population after pregnancy. Methods  This is a validation of an instrument for the evaluation of disability and functioning and an assessment of its psychometric properties, performed in a tertiary maternity and a referral center specialized in high-risk pregnancies in Brazil. A sample of 638 women in different postpartum periods who had either a normal or a complicated pregnancy was included. The structure was evaluated by exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), while the content and relationships among the domains were assessed through Pearson's correlation coefficient. The sociodemographic characteristics were identified, and the mean scores with their standard deviations for the 36 questions of the WHODAS 2.0 were calculated. The internal consistency was evaluated byCronbach's α. Results  Cronbach's α was higher than 0.79 for both sets of questons of the questionnaire. The EFA and CFA for the main 32 questions exhibited a total variance of 54.7% (Kaiser-Meyer-Olkin [KMO] measure of sampling adequacy =  0.934; p  < 0.001) and 53.47% (KMO = 0.934; p  < 0.001) respectively. There was a significant correlation among the 6 domains (r = 0.571-0.876), and a moderate correlation among all domains (r = 0.476-0.694). Conclusion  The version of the WHODAS 2.0 instrument adapted to Brazilian Portuguese showed good psychometric properties in this sample, and therefore could be applied to populations of women regarding their reproductive history. Thieme-Revinter Publicações Ltda Rio de Janeiro, Brazil.

  6. HOW A SUPPLY CHAIN PROCESS MATTERS IN FIRMS’ PERFORMANCE-AN EMPIRICAL EVIDENCE OF PAKISTAN

    Directory of Open Access Journals (Sweden)

    Muhammad Ziaullah

    2017-12-01

    Full Text Available In recent years, supply chain processes (i.e. demand management, customer relationship management, and new product development have gained a great importance from academicians and practitioners. Yet, research into the subject of supply chain processes’ effects on performance is nascent. The purpose of this study is to examine the process dimensions’ effects on supply chain (SC partners’ trust and firms’ performance as supply chain processes are essential for firms’ competitiveness. The research framework consists of seven hypotheses. An empirical study was conducted in Pakistan, and the data were collected from 164 supply chain firms. The reliability and validity of the model were examined through the exploratory factor analysis (EFA and Confirmatory factor analysis (CFA. The results delineate that supply chain processes have a significant relationship with SC partners’ trust and performance. Thus, all hypotheses were supported. This study presents interesting theoretical contributions and managerial implications. At last, limitations regarding future research directions are discussed.

  7. A Comparative Analysis of Ability of Mimicking Portfolios in Representing the Background Factors

    OpenAIRE

    Asgharian, Hossein

    2004-01-01

    Our aim is to give a comparative analysis of ability of different factor mimicking portfolios in representing the background factors. Our analysis contains a cross-sectional regression approach, a time-series regression approach and a portfolio approach for constructing factor mimicking portfolios. The focus of the analysis is the power of mimicking portfolios in the asset pricing models. We conclude that the time series regression approach, with the book-to-market sorted portfolios as the ba...

  8. ANALYSIS OF FACTORS WHICH AFFECTING THE ECONOMIC GROWTH

    Directory of Open Access Journals (Sweden)

    Suparna Wijaya

    2017-03-01

    Full Text Available High economic growth and sustainable process are main conditions for sustainability of economic country development. They are also become measures of the success of the country's economy. Factors which tested in this study are economic and non-economic factors which impacting economic development. This study has a goal to explain the factors that influence on macroeconomic Indonesia. It used linear regression modeling approach. The analysis result showed that Tax Amnesty, Exchange Rate, Inflation, and interest rate, they jointly can bring effect which amounted to 77.6% on economic growth whereas the remaining 22.4% is the influenced by other variables which not observed in this study. Keywords: tax amnesty, exchange rates, inflation, SBI and economic growth

  9. [A factor analysis method for contingency table data with unlimited multiple choice questions].

    Science.gov (United States)

    Toyoda, Hideki; Haiden, Reina; Kubo, Saori; Ikehara, Kazuya; Isobe, Yurie

    2016-02-01

    The purpose of this study is to propose a method of factor analysis for analyzing contingency tables developed from the data of unlimited multiple-choice questions. This method assumes that the element of each cell of the contingency table has a binominal distribution and a factor analysis model is applied to the logit of the selection probability. Scree plot and WAIC are used to decide the number of factors, and the standardized residual, the standardized difference between the sample, and the proportion ratio, is used to select items. The proposed method was applied to real product impression research data on advertised chips and energy drinks. Since the results of the analysis showed that this method could be used in conjunction with conventional factor analysis model, and extracted factors were fully interpretable, and suggests the usefulness of the proposed method in the study of psychology using unlimited multiple-choice questions.

  10. EST Table: DC539999 [KAIKOcDNA[Archive

    Lifescience Database Archive (English)

    Full Text Available DC539999 E_FL_dpe-_03N21_F_0 10/09/28 41 %/110 aa gb|EFA11746.1| hypothetical prote...i|270015298|gb|EFA11746.1| hypothetical protein TcasGA2_TC004236 [Tribolium castaneum] FS919981 dpe- ...

  11. Methods of selecting factors in the analysis of the real estates market

    OpenAIRE

    Jasińska, Elżbieta; Preweda, Edward

    2006-01-01

    In the paper the problem of selecting the method of choosing factors in factorial analysis is presented. For the database of 61 real estates the process of singling out the factors was carried out with the use of all the methods proposed in the STATISTICA 6.0 pack. A particular attention was paid on the number of differentiated factors and the efficiency of subsequent methods for the analysis of the real estates market. Edward Preweda

  12. Liquidity indicator for the Croatian economy – Factor analysis approach

    Directory of Open Access Journals (Sweden)

    Mirjana Čižmešija

    2014-12-01

    Full Text Available Croatian business surveys (BS are conducted in the manufacturing industry, retail trade and construction sector. In all of these sectors, manager´s assessments of liquidity are measured. The aim of the paper was to form a new composite liquidity indicator by including business survey liquidity measures from all three covered economic sectors in the Croatian economy mentioned above. In calculating the leading indicator, a factor analysis approach was used. However, this kind of indicator does not exist in a Croatia or in any other European economy. Furthermore, the issue of Croatian companies´ illiquidity is highly neglected in the literature. The empirical analysis consists of two parts. In the first part the new liquidity indicator was formed using factor analysis. One factor (representing the new liquidity indicator; LI was extracted out of the three liquidity variables in three economic sectors. This factor represents the new liquidity indicator. In the second part, econometric models were applied in order to investigate the forecasting properties of the new business survey liquidity indicator, when predicting the direction of changes in Croatian industrial production. The quarterly data used in the research covered the period from January 2000 to April 2013. Based on econometric analysis, it can be concluded that the LI is a leading indicator of Croatia’s industrial production with better forecasting properties then the standard liquidity indicators (formed in a manufacturing industry.

  13. Factor Analysis on the Factors that Influencing Rural Environmental Pollution in the Hilly Area of Sichuan Province,China

    Institute of Scientific and Technical Information of China (English)

    2011-01-01

    By using factor analysis method and establishing analysis indicator system from four aspects including crop production,poultry farming,rural life and township enterprises,the difference,features,and types of factors influencing the rural environmental pollution in the hilly area in Sichuan Province,China.Results prove that the major factor influencing rural environmental pollution in the study area is livestock and poultry breeding,flowed by crop planting,rural life,and township enterprises.Hence future pollution prevention and control should set about from livestock and poultry breeding.Meanwhile,attention should be paid to the prevention and control of rural environmental pollution caused by rural life and township enterprise production.

  14. Quality of life in patients with fibromyalgia: validation and psychometric properties of the German Quality of Life Scale (QOLS-G).

    Science.gov (United States)

    Offenbächer, Martin; Sauer, Sebastian; Kohls, Niko; Waltz, Millard; Schoeps, Peter

    2012-10-01

    Our objectives were to translate the Quality of Life Scale (QOLS) into German and to evaluate its reliability and validity for the use in patients with fibromyalgia (FMS). Together with German versions of the Fibromyalgia Impact Questionnaire (FIQ), the SF-36, a tender point count (TPC) and other questionnaires, we administered the QOLS to 146 patients with FMS. Patients were asked about the severity of pain today (VAS) and the duration of symptoms. Test-retest reliability was assessed using Spearman's correlations. Internal consistency was evaluated with Cronbach's alpha. Construct validity of the QOLS was evaluated by correlating the QOLS with the FIQ, the SF-36, the Beck Depression Inventory (BDI), and the Symptom Checklist (SCL-90-R) as well as with the pain variables. An exploratory factor analysis (EFA) was also conducted. Mean age was 53.1 years. Means were for pain today 6.8 and for duration of symptoms 11.8 years. Test-retest reliability for the total QOLS was rho = .91. Internal consistency was α = .90. Low-to-moderate correlations were obtained between the QOLS and the total FIQ (rho = -.42), the SF-36 (e.g. physical functioning rho = .37; mental health rho = .56) as well as the pain variables (VAS rho = -.11 ns; TPC rho = -.20). Psychological variables were moderately to substantially correlated with the QOLS (e.g. BDI rho = -.61). An EFA suggested a three-factor solution. The QOLS-G is a reliable and valid instrument for measuring quality of life in German patients with FMS.

  15. A pilot investigation of the Motivation Behaviors Checklist (MBC): An observational rating scale of effort towards testing for baseline sports-concussion assessment.

    Science.gov (United States)

    Rabinowitz, Amanda R; Merritt, Victoria; Arnett, Peter A

    2016-08-01

    Baseline neuropsychological testing is commonly used in the management of sports-related concussion. However, underperformance due to poor effort could lead to invalid conclusions regarding postconcussion cognitive decline. We designed the Motivation Behaviors Checklist (MBC) as an observational rating scale to assess effort towards baseline neuropsychological testing. Here we present preliminary data in support of its reliability and validity. MBC items were generated based on the consensus of a panel of graduate students, undergraduates, and a clinical neuropsychologist who conduct neuropsychological evaluations for a sports concussion management program. A total of 261 college athletes were administered a standard neuropsychological test battery in addition to the MBC. A subset of evaluations (n= 101) was videotape and viewed by a second rater. Exploratory factor analysis (EFA) was used to refine the scale, and reliability and validity were evaluated. EFA revealed that the MBC items represent four latent factors-Complaints, Poor Focus, Psychomotor Agitation, and Impulsivity. Reliability analyses demonstrated that the MBC has good inter-rater reliability (intraclass correlation coefficient, ICC = .767) and internal consistency (α = .839). The construct validity of the MBC is supported by large correlations with examiners' ratings of effort (ρ = -.623) and medium-sized relationships with cognitive performance and self-ratings of effort (|ρ| between .263 and .345). Discriminant validity was supported by nonsignificant correlations with measures of depression and postconcussion symptoms (ρ = .056 and .082, respectively). These findings provide preliminary evidence that the MBC could be a useful adjunct to baseline neuropsychological evaluations for sports-concussion management.

  16. Absorption correction factor in X-ray fluorescent quantitative analysis

    International Nuclear Information System (INIS)

    Pimjun, S.

    1994-01-01

    An experiment on absorption correction factor in X-ray fluorescent quantitative analysis were carried out. Standard samples were prepared from the mixture of Fe 2 O 3 and tapioca flour at various concentration of Fe 2 O 3 ranging from 5% to 25%. Unknown samples were kaolin containing 3.5% to-50% of Fe 2 O 3 Kaolin samples were diluted with tapioca flour in order to reduce the absorption of FeK α and make them easy to prepare. Pressed samples with 0.150 /cm 2 and 2.76 cm in diameter, were used in the experiment. Absorption correction factor is related to total mass absorption coefficient (χ) which varied with sample composition. In known sample, χ can be calculated by conveniently the formula. However in unknown sample, χ can be determined by Emission-Transmission method. It was found that the relationship between corrected FeK α intensity and contents of Fe 2 O 3 in these samples was linear. This result indicate that this correction factor can be used to adjust the accuracy of X-ray intensity. Therefore, this correction factor is essential in quantitative analysis of elements comprising in any sample by X-ray fluorescent technique

  17. Application of factor analysis to chemically analyzed data in environmental samples after x-ray fluorescence analysis

    International Nuclear Information System (INIS)

    El-Sayed, A.A.

    2005-01-01

    The underlying principle of factorial analysis is frequency distribution and description of reaction in between and through the element series in specific environmental samples. Application of this factor analysis was elaborated to interpret the variance and covariance of certain elements Si, Al, Ca. K, Fe, Ti and Mg in three different types of common materials in environmental sediments, soil, and rock. These evaluations were proceeded after x-ray fluorescence measurements. Results of applications of factorial statistical data analysis show that three factors cause relationship between the above elements in a certain type of environmental samples are mainly recognized. In such cases, these factors represent the main reason for findings and interpret all hidden relationship between the chemical analyzed data. Factor one, the effect of weathering type alteration and oxidation reaction processes as a main one in case of soil and rock where they are characterized by the close covariance of a group of metals, like iron and manganese, commonly derived from weathered and altered igneous rocks. Factor two and three represents other processes. In case of soil, formation of alumino-silicate is revealed in factor two due to the positive covariance of these elements and also the presence of aluminum oxide, titanium oxide and silicon dioxide together is explained by these positive values. The inverse relation between Ca, K, Fe and Mg while indicate the presence of mineral salts which may be due to fertilization and water of irrigation. In case of factor three in that soil, it is the weakest factor that can be used to explain the relationship between the above elements

  18. Meta-Analysis of Selected Maternal and Fetal Factors for Perinatal ...

    African Journals Online (AJOL)

    BACKGROUND: In several developing countries, achieving Millennium Development Goal 4 is still off track. Multiple maternal and fetal risk factors were inconsistently attributed to the high perinatal mortality in developing countries. However, there was no meta-analysis that assessed the pooled effect of these factors on ...

  19. Risk factor analysis of equine strongyle resistance to anthelmintics

    Directory of Open Access Journals (Sweden)

    G. Sallé

    2017-12-01

    Full Text Available Intestinal strongyles are the most problematic endoparasites of equids as a result of their wide distribution and the spread of resistant isolates throughout the world. While abundant literature can be found on the extent of anthelmintic resistance across continents, empirical knowledge about associated risk factors is missing. This study brought together results from anthelmintic efficacy testing and risk factor analysis to provide evidence-based guidelines in the field. It involved 688 horses from 39 French horse farms and riding schools to both estimate Faecal Egg Count Reduction (FECR after anthelmintic treatment and to interview farm and riding school managers about their practices. Risk factors associated with reduced anthelmintic efficacy in equine strongyles were estimated across drugs using a marginal modelling approach. Results demonstrated ivermectin efficacy (96.3% ± 14.5% FECR, the inefficacy of fenbendazole (42.8% ± 33.4% FECR and an intermediate profile for pyrantel (90.3% ± 19.6% FECR. Risk factor analysis provided support to advocate for FEC-based treatment regimens combined with individual anthelmintic dosage and the enforcement of tighter biosecurity around horse introduction. The combination of these measures resulted in a decreased risk of drug resistance (relative risk of 0.57, p = 0.02. Premises falling under this typology also relied more on their veterinarians suggesting practitionners play an important role in the sustainability of anthelmintic usage. Similarly, drug resistance risk was halved in premises with frequent pasture rotation and with stocking rate below five horses/ha (relative risk of 0.53, p < 0.01. This is the first empirical risk factor analysis for anthelmintic resistance in equids. Our findings should guide the implementation of more sustained strongyle management in the field. Keywords: Horse, Nematode, Anthelmintic resistance, Strongyle, Cyathostomin

  20. Validation of the Mental Illness Sexual Stigma Questionnaire (MISS-Q in a sample of Brazilian adults in psychiatric care

    Directory of Open Access Journals (Sweden)

    Milton Wainberg

    Full Text Available ABSTRACT Objective We evaluated the psychometric properties of a new instrument “Mental Illness Sexual Stigma Questionnaire” (MISS-Q. Methods We interviewed 641 sexually active adults (ages 18-80 attending public outpatient psychiatric clinics in Rio de Janeiro about their stigma experiences. Results Nine factors were extracted through exploratory factor analysis (EFA and labeled: ‘individual discrimination by others’; ‘staff willingness to talk about sexuality’; ‘staff and family prohibitions’; ‘sexual devaluation of self’; ‘perceived attractiveness’; ‘mental illness concealment’; ‘perceived sexual role competence’; ‘withdrawal’; and ‘locus of social-sexual control’. ‘Withdrawal’ and ‘locus of social-sexual control’ showed poor psychometric properties and were excluded from further analysis. The remaining seven factors had high factorial loadings (.39 to .86, varying from sufficient to optimal reliability (Ordinal α ranged from .57 to .88, and good convergent and discriminant validity. Conclusions The resulting MISS-Q is the first instrument assessing mental illness sexual stigma with demonstrated psychometric properties. It may prove useful in reducing stigma, protecting sexual health, and promoting recovery.

  1. Cross-cultural adaptation of the Female Genital Self-Image Scale (FGSIS) in Iranian female college students.

    Science.gov (United States)

    Pakpour, Amir H; Zeidi, Isa Mohammadi; Ziaeiha, Masoumeh; Burri, Andrea

    2014-01-01

    The aim of the present study was to investigate the psychometric properties of a translated and culturally adapted Iranian version of the Female Genital Self-Image Scale (FGSIS-I) in a sample of college women. Further, the relationship between women's self-image, body appreciation, sexual functioning, and gynecological exam behavior was explored. A sample of 1,877 female students from five different universities across Qazvin and Tehran completed the Female Sexual Function Index (FSFI), the Body Appreciation Scale (BAS), the Rosenberg Self-Esteem Scale (RSES), the FGSIS-I, and a gynecological exam behavior questionnaire. Good to excellent internal consistency reliability, test-retest reliability, and convergent and construct validity were found. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) both provided a two-factor structure for the FGSIS-I. The validity of the FGSIS-I in predicting gynecological exam behavior of college women was tested using structural equation modeling (SEM). The final model accounted for 33% of the variance in gynecological exam behavior (p reliable instrument to assess female genital self-image in Iranian women.

  2. Essential fatty acid deficiency in mice impairs lactose digestion

    NARCIS (Netherlands)

    Lukovac, S.; Los, E. L.; Stellaard, F.; Rings, E. H. H. M.; Verkade, H. J.

    Essential fatty acid (EFA) deficiency in mice induces fat malabsorption. We previously reported indications that the underlying mechanism is located at the level of the intestinal mucosa. We have investigated the effects of EFA deficiency on small intestinal morphology and function. Mice were fed an

  3. No Clinical or Biochemical Evidence for Essential Fatty Acid Deficiency in Home Patients Who Depend on Long-Term Mixed Olive Oil- and Soybean Oil-Based Parenteral Nutrition

    NARCIS (Netherlands)

    Olthof, E.D.; Roelofs, H.M.J.; Fisk, H.L.; Calder, P.C.; Wanten, G.J.A.

    2016-01-01

    BACKGROUND: Home parenteral nutrition (HPN) patients depend on lipid emulsions as part of their parenteral nutrition regimen to provide essential fatty acids (EFAs). Mixed-oil sources are used in modern lipid emulsions to decrease the amount of proinflammatory EFAs, mainly linoleic acid, which is

  4. Risk factors for radiation-induced hypothyroidism: A Literature-Based Meta-Analysis

    DEFF Research Database (Denmark)

    Vogelius, Ivan R; Bentzen, Søren; Maraldo, Maja V

    2011-01-01

    BACKGROUND: A systematic overview and meta-analysis of studies reporting data on hypothyroidism (HT) after radiation therapy was conducted to identify risk factors for development of HT. METHODS: Published studies were identified from the PubMed and Embase databases and by hand-searching published...... reviews. Studies allowing the extraction of odds ratios (OR) for HT in 1 or more of several candidate clinical risk groups were included. A meta-analysis of the OR for development of HT with or without each of the candidate risk factors was performed. Furthermore, studies allowing the extraction......% risk of HT at a dose of 45 Gy but with considerable variation in the dose response between studies. Chemotherapy and age were not associated with risk of HT in this analysis. CONCLUSIONS: Several clinical risk factors for HT were identified. The risk of HT increases with increasing radiation dose...

  5. Analysis of the Automobile Market : Modeling the Long-Run Determinants of the Demand for Automobiles : Volume 2. Simulation Analysis Using the Wharton EFA Automobile Demand Model

    Science.gov (United States)

    1979-12-01

    An econometric model is developed which provides long-run policy analysis and forecasting of annual trends, for U.S. auto stock, new sales, and their composition by auto size-class. The concept of "desired" (equilibrium) stock is introduced. "Desired...

  6. Understanding Older Adults' Perceptions of Internet Use: An Exploratory Factor Analysis

    Science.gov (United States)

    Zheng, Robert; Spears, Jeffrey; Luptak, Marilyn; Wilby, Frances

    2015-01-01

    The current study examined factors related to older adults' perceptions of Internet use. Three hundred ninety five older adults participated in the study. The factor analysis revealed four factors perceived by older adults as critical to their Internet use: social connection, self-efficacy, the need to seek financial information, and the need to…

  7. Clinicopathological Analysis of Factors Related to Colorectal Tumor Perforation

    OpenAIRE

    Medina-Arana, Vicente; Martínez-Riera, Antonio; Delgado-Plasencia, Luciano; Rodríguez-González, Diana; Bravo-Gutiérrez, Alberto; Álvarez-Argüelles, Hugo; Alarcó-Hernández, Antonio; Salido-Ruiz, Eduardo; Fernández-Peralta, Antonia M.; González-Aguilera, Juan J.

    2015-01-01

    Abstract Colorectal tumor perforation is a life-threatening complication of this disease. However, little is known about the anatomopathological factors or pathophysiologic mechanisms involved. Pathological and immunohistochemical analysis of factors related with tumoral neo-angiogenesis, which could influence tumor perforation are assessed in this study. A retrospective study of patients with perforated colon tumors (Group P) and T4a nonperforated (controls) was conducted between 2001 and 20...

  8. An Analysis of Construction Accident Factors Based on Bayesian Network

    OpenAIRE

    Yunsheng Zhao; Jinyong Pei

    2013-01-01

    In this study, we have an analysis of construction accident factors based on bayesian network. Firstly, accidents cases are analyzed to build Fault Tree method, which is available to find all the factors causing the accidents, then qualitatively and quantitatively analyzes the factors with Bayesian network method, finally determines the safety management program to guide the safety operations. The results of this study show that bad condition of geological environment has the largest posterio...

  9. A factor analysis of Functional Independence and Functional Assessment Measure scores among focal and diffuse brain injury patients: The importance of bi-factor models.

    Science.gov (United States)

    Gunn, Sarah; Burgess, Gerald H; Maltby, John

    2018-04-28

    To explore the factor structure of the UK Functional Independence Measure and Functional Assessment Measure (FIM+FAM) among focal and diffuse acquired brain injury patients. Criterion standard. An NHS acute acquired brain injury inpatient rehabilitation hospital. Referred sample of 447 adults (835 cases after exclusions) admitted for inpatient treatment following an acquired brain injury significant enough to justify intensive inpatient neurorehabilitation. Not applicable. Functional Independence Measure and Functional Assessment Measure. Exploratory Factor Analysis suggested a two-factor structure to FIM+FAM scores, among both focal-proximate and diffuse-proximate acquired brain injury aetiologies. Confirmatory Factor Analysis suggested a three-factor bi-factor structure presented the best fit of the FIM+FAM score data across both aetiologies. However, across both analyses, a convergence was found towards a general factor, demonstrated by high correlations between factors in the Exploratory Factor Analysis, and by a general factor explaining the majority of the variance in scores on Confirmatory Factor Analysis. Our findings suggested that although factors describing specific functional domains can be derived from FIM+FAM item scores, there is a convergence towards a single factor describing overall functioning. This single factor informs the specific group factors (e.g. motor, psychosocial and communication function) following brain injury. Further research into the comparative value of the general and group factors as evaluative/prognostic measures is indicated. Copyright © 2018. Published by Elsevier Inc.

  10. Determinants of job stress in chemical process industry: A factor analysis approach.

    Science.gov (United States)

    Menon, Balagopal G; Praveensal, C J; Madhu, G

    2015-01-01

    Job stress is one of the active research domains in industrial safety research. The job stress can result in accidents and health related issues in workers in chemical process industries. Hence it is important to measure the level of job stress in workers so as to mitigate the same to avoid the worker's safety related problems in the industries. The objective of this study is to determine the job stress factors in the chemical process industry in Kerala state, India. This study also aims to propose a comprehensive model and an instrument framework for measuring job stress levels in the chemical process industries in Kerala, India. The data is collected through a questionnaire survey conducted in chemical process industries in Kerala. The collected data out of 1197 surveys is subjected to principal component and confirmatory factor analysis to develop the job stress factor structure. The factor analysis revealed 8 factors that influence the job stress in process industries. It is also found that the job stress in employees is most influenced by role ambiguity and the least by work environment. The study has developed an instrument framework towards measuring job stress utilizing exploratory factor analysis and structural equation modeling.

  11. Exploratory Factor Analysis of SCL90-R Symptoms Relevant to Psychosis

    Directory of Open Access Journals (Sweden)

    Javad Amini

    2011-10-01

    Full Text Available "nObjective: Inconsistent results have been reported regarding the symptom dimensions relevant to psychosis in symptoms check list revised (SCL90-R, i.e., "psychoticism" and "paranoid ideation". Therefore, some studies have suggested different factor structures for questions of these two dimensions, and proposed two newly defined dimensions of "schizotypal signs" and "schizophrenia nuclear symptoms". We conducted an exploratory factor analysis on the items of these two dimensions in a general population sample in Iran. "nMethod: A total of 2158 subjects residing in Southern Tehran (capital of Iran were interviewed using the psychoticism and paranoid ideation questions in SCL90-R to assess severity of these symptom dimensions. Factor analysis was done through SAS 9.1.3 PROC FACTOR using Promax rotation (power=3 on the matrix of "polychoric correlations among variables" as the input data. "nResults: Two factors were retained by the proportion criterion. Considering loadings >= 0.5 as minimum criteria for factor loadings, 7 out of 10 questions  from psychoticism ,and 3 out of 6 questions from paranoid ideation were retained, and others were eliminated. The factor labels proposed by the questionnaire suited the extracted factors and were retained. Internal consistency for each of the dimensions was acceptable (Cronbach's alpha 0.7 and 0.74 for paranoid ideation and psychoticism respectively. Composite scores showed a half-normal distribution for both dimensions which is predictable for instruments that detect psychotic symptoms. "nConclusion: Results were in contrast with similar studies, and questioned them by suggesting a different factor structure obtained from a statistically large population. The population in a developing nation (Iran in this study and the socio-cultural differences in developed settings are the potential sources for discrepancies between this analysis and previous reports.

  12. Analysis of Learning Environment Factors Based on Maslow’s Hierarchy of Needs

    Directory of Open Access Journals (Sweden)

    Košir Katja

    2013-09-01

    Full Text Available This paper provides a new analysis of some learning environment factors from the point of view of one of the most established motivational models, i.e. Maslow’s hierarchy of needs. For a teacher, this model can represent a meaningful tool for the analysis of the potential factors of pupils’ inadequate school adjustment. Some psychological constructs that can be conceptualized as learning environment factors are presented at specific levels of needs. As regards the level of physiological needs, this paper provides an overview of research studies on ergonomic factors of learning environment. As for safety needs, the paper outlines the concepts of classroom management and peer-to-peer violence, and presents some main research findings in both fields. The analysis regarding the level of love and belonging includes aspects of positive classroom climate and the concept of pupils’ social acceptance. Contemporary findings about the development of pupil’s academic self-concept are presented within the self-esteem and achievements needs. Flow is considered to be one of key factors that help teacher satisfy the self-actualization needs and stimulate pupils’ personal development. On the basis of this analysis, some implications and recommendations are given to help teachers efficiently encourage an integrated approach to pupil development.

  13. Analysis of factors influencing decision making of Czech households when purchasing clothes and footwear

    Directory of Open Access Journals (Sweden)

    Zuzana Toufarová

    2007-01-01

    Full Text Available The paper analyses buying behaviour of Czech households on the market with footwear and cloths. It aims at factors influ, encing this behaviour, e.g. price, brand, quality, product attributes, habits, price reductions, advertisement, innovation and word-of-mauth. Primary data were obtained via survey of 727 Czech households by staff of the Department of Marketing and Trade, Mendel University of Agriculture and Forestry Brno. The paper provides results of correlation analysis and factor analysis. When making purchase decisions, households identify attributes and parameters of clothes and footwear as the most important factor. Due to factor analysis, factors were reduced into four comprehensive groups.

  14. 48 CFR 1615.404-70 - Profit analysis factors.

    Science.gov (United States)

    2010-10-01

    ... CONTRACTING BY NEGOTIATION Contract Pricing 1615.404-70 Profit analysis factors. (a) OPM contracting officers... managerial expertise and effort. Evidence of effective contract performance will receive a plus weight, and... indifference to cost control will generally result in a negative weight. (2) Contract cost risk. In assessing...

  15. A factor analysis of the Kirton Adaption-Innovation Inventory using an alcoholic population.

    Science.gov (United States)

    Robertson, E D; Fournet, G P; Zelhart, P F; Estes, R E

    1988-04-01

    The present study reports a factor analysis of the Kirton Adaption-Innovation Inventory using 103 alcoholic men. Kirton in 1976 and we in an unpublished work in 1986 noted identical factor structures when responses from nonalcoholic populations to the inventory were factor analyzed. Recent reviews regarding personality characteristics of alcoholics suggest characteristics similar to the adaption-innovation concepts of Kirton. This factor analysis for an alcoholic sample supports the validity of the inventory as a measure of problem-solving style of alcoholics.

  16. Worry About Caregiving Performance: A Confirmatory Factor Analysis

    Directory of Open Access Journals (Sweden)

    Ruijie Li

    2018-03-01

    Full Text Available Recent studies on the Zarit Burden Interview (ZBI support the existence of a unique factor, worry about caregiving performance (WaP, beyond role and personal strain. Our current study aims to confirm the existence of WaP within the multidimensionality of ZBI and to determine if predictors of WaP differ from the role and personal strain. We performed confirmatory factor analysis (CFA on 466 caregiver-patient dyads to compare between one-factor (total score, two-factor (role/personal strain, three-factor (role/personal strain and WaP, and four-factor models (role strain split into two factors. We conducted linear regression analyses to explore the relationships between different ZBI factors with socio-demographic and disease characteristics, and investigated the stage-dependent differences between WaP with role and personal strain by dyadic relationship. The four-factor structure that incorporated WaP and split role strain into two factors yielded the best fit. Linear regression analyses reveal that different variables significantly predict WaP (adult child caregiver and Neuropsychiatric Inventory Questionnaire (NPI-Q severity from role/personal strain (adult child caregiver, instrumental activities of daily living, and NPI-Q distress. Unlike other factors, WaP was significantly endorsed in early cognitive impairment. Among spouses, WaP remained low across Clinical Dementia Rating (CDR stages until a sharp rise in CDR 3; adult child and sibling caregivers experience a gradual rise throughout the stages. Our results affirm the existence of WaP as a unique factor. Future research should explore the potential of WaP as a possible intervention target to improve self-efficacy in the milder stages of burden.

  17. Farmer’s motivation to adopt sustainable agricultural practices

    Directory of Open Access Journals (Sweden)

    Davide Menozzi

    2015-09-01

    Full Text Available The 2014-2020 Common Agricultural Policy (CAP reform defines new rules for farmers including maintenance of the ecological focus area (EFA. Sustainability is also a requirement to meet consumer expectations and a competitive advantage for firms. This paper aims to evaluate the farmers’ intention to implement sustainable practices related to the EFA measure and to the private sustainability schemes proposed by the food industry. The Theory of Planned Behaviour (TPB was applied on a sample of durum wheat producers to analyse intentions 1 to maintain 7% of the arable land as an EFA, and 2 to implement the private sustainability scheme. Structural equation modelling was applied to test for the relative importance of intention determinants. The farmers’ attitude and past behaviour positively affect intentions to implement the EFA, while perceived behavioural control and attitudes predict intentions to adopt the private sustainability scheme. These results suggest possible interventions that public authorities and supply chain leaders might implement to stimulate farmers’ sustainable behaviours. 

  18. Parallel factor analysis PARAFAC of process affected water

    Energy Technology Data Exchange (ETDEWEB)

    Ewanchuk, A.M.; Ulrich, A.C.; Sego, D. [Alberta Univ., Edmonton, AB (Canada). Dept. of Civil and Environmental Engineering; Alostaz, M. [Thurber Engineering Ltd., Calgary, AB (Canada)

    2010-07-01

    A parallel factor analysis (PARAFAC) of oil sands process-affected water was presented. Naphthenic acids (NA) are traditionally described as monobasic carboxylic acids. Research has indicated that oil sands NA do not fit classical definitions of NA. Oil sands organic acids have toxic and corrosive properties. When analyzed by fluorescence technology, oil sands process-affected water displays a characteristic peak at 290 nm excitation and approximately 346 nm emission. In this study, a parallel factor analysis (PARAFAC) was used to decompose process-affected water multi-way data into components representing analytes, chemical compounds, and groups of compounds. Water samples from various oil sands operations were analyzed in order to obtain EEMs. The EEMs were then arranged into a large matrix in decreasing process-affected water content for PARAFAC. Data were divided into 5 components. A comparison with commercially prepared NA samples suggested that oil sands NA is fundamentally different. Further research is needed to determine what each of the 5 components represent. tabs., figs.

  19. Application of factor analysis to the hydrogeochemical study of a coastal aquifer

    OpenAIRE

    Ruiz Beviá, Francisco; Gomis Yagües, Vicente; Blasco Alemany, Pilar

    1989-01-01

    The use of numerical values for the chemical components of waters from an aquifer as input data for factor analysis is shown to be sometimes more convenient than the use of the logarithms of these figures. Factor analysis was applied to the hydrogeochemical study of a coastal aquifer located in Javea, Alicante (Spain). A set of factors was found which explained the source of the ions in the water and even certain chemical processes which accompany the intrusion of seawater, such as the strong...

  20. Multiplication factor versus regression analysis in stature estimation from hand and foot dimensions.

    Science.gov (United States)

    Krishan, Kewal; Kanchan, Tanuj; Sharma, Abhilasha

    2012-05-01

    Estimation of stature is an important parameter in identification of human remains in forensic examinations. The present study is aimed to compare the reliability and accuracy of stature estimation and to demonstrate the variability in estimated stature and actual stature using multiplication factor and regression analysis methods. The study is based on a sample of 246 subjects (123 males and 123 females) from North India aged between 17 and 20 years. Four anthropometric measurements; hand length, hand breadth, foot length and foot breadth taken on the left side in each subject were included in the study. Stature was measured using standard anthropometric techniques. Multiplication factors were calculated and linear regression models were derived for estimation of stature from hand and foot dimensions. Derived multiplication factors and regression formula were applied to the hand and foot measurements in the study sample. The estimated stature from the multiplication factors and regression analysis was compared with the actual stature to find the error in estimated stature. The results indicate that the range of error in estimation of stature from regression analysis method is less than that of multiplication factor method thus, confirming that the regression analysis method is better than multiplication factor analysis in stature estimation. Copyright © 2012 Elsevier Ltd and Faculty of Forensic and Legal Medicine. All rights reserved.

  1. EFA6 regulates selective polarised transport and axon regeneration from the axon initial segment

    Czech Academy of Sciences Publication Activity Database

    Eva, R.; Koseki, H.; Kanamarlapudi, V.; Fawcett, James

    2017-01-01

    Roč. 130, č. 21 (2017), s. 3663-3675 ISSN 0021-9533 Institutional support: RVO:68378041 Keywords : axon regeneration * axon transport * neuronal polarisation Subject RIV: FH - Neurology OBOR OECD: Neuroscience s (including psychophysiology Impact factor: 4.431, year: 2016

  2. Filling the Gaps: The Role and Impact of International Non-Governmental Organisations in "Education for All"

    Science.gov (United States)

    Tota, Pasqua Marina

    2014-01-01

    This article discusses the involvement of international non-governmental organisations (INGOs) in transnational education policy-making, with particular reference to the global initiative Education for All (EFA). EFA is a policy process carried out by international governmental organisations (IGOs) with the main aim to achieve basic education for…

  3. An analysis of main factors in electron beam flue gas purification

    International Nuclear Information System (INIS)

    Zhang Ming; Xu Guang

    2003-01-01

    Electron beam flue gas purification method is developing very quickly in recent years. Based on the experiment setting for electron beam flue gas purification in Institute of Nuclear Energy and Technology, Tsinghua University, how the technique factors affect the ratio of desulphurization and denitrogenation are described. Radiation dose (D), temperature (T), humidity (H), pour ammonia quantity (α) and initial concentration of SO 2 (C SO 2 ) and NO x (C NO x ) are main factors influencing flue gas purification. Using the methods of correlation analysis and regression analysis, the primary effect factors are found out and the regression equations are set to optimize the system process, predigest the system structure and to forecast the experimental results. (authors)

  4. Kernel parameter dependence in spatial factor analysis

    DEFF Research Database (Denmark)

    Nielsen, Allan Aasbjerg

    2010-01-01

    kernel PCA. Shawe-Taylor and Cristianini [4] is an excellent reference for kernel methods in general. Bishop [5] and Press et al. [6] describe kernel methods among many other subjects. The kernel version of PCA handles nonlinearities by implicitly transforming data into high (even infinite) dimensional...... feature space via the kernel function and then performing a linear analysis in that space. In this paper we shall apply a kernel version of maximum autocorrelation factor (MAF) [7, 8] analysis to irregularly sampled stream sediment geochemistry data from South Greenland and illustrate the dependence...... of the kernel width. The 2,097 samples each covering on average 5 km2 are analyzed chemically for the content of 41 elements....

  5. Biosphere dose conversion Factor Importance and Sensitivity Analysis

    International Nuclear Information System (INIS)

    M. Wasiolek

    2004-01-01

    This report presents importance and sensitivity analysis for the environmental radiation model for Yucca Mountain, Nevada (ERMYN). ERMYN is a biosphere model supporting the total system performance assessment (TSPA) for the license application (LA) for the Yucca Mountain repository. This analysis concerns the output of the model, biosphere dose conversion factors (BDCFs) for the groundwater, and the volcanic ash exposure scenarios. It identifies important processes and parameters that influence the BDCF values and distributions, enhances understanding of the relative importance of the physical and environmental processes on the outcome of the biosphere model, includes a detailed pathway analysis for key radionuclides, and evaluates the appropriateness of selected parameter values that are not site-specific or have large uncertainty

  6. A multilateral modelling of Youth Soccer Performance Index (YSPI)

    Science.gov (United States)

    Bisyri Husin Musawi Maliki, Ahmad; Razali Abdullah, Mohamad; Juahir, Hafizan; Abdullah, Farhana; Ain Shahirah Abdullah, Nurul; Muazu Musa, Rabiu; Musliha Mat-Rasid, Siti; Adnan, Aleesha; Azura Kosni, Norlaila; Muhamad, Wan Siti Amalina Wan; Afiqah Mohamad Nasir, Nur

    2018-04-01

    This study aims to identify the most dominant factors that influencing performance of soccer player and to predict group performance for soccer players. A total of 184 of youth soccer players from Malaysia sport school and six soccer academy encompasses as respondence of the study. Exploratory factor analysis (EFA) and Confirmatory factor analysis (CFA) were computed to identify the most dominant factors whereas reducing the initial 26 parameters with recommended >0.5 of factor loading. Meanwhile, prediction of the soccer performance was predicted by regression model. CFA revealed that sit and reach, vertical jump, VO2max, age, weight, height, sitting height, calf circumference (cc), medial upper arm circumference (muac), maturation, bicep, triceps, subscapular, suprailiac, 5M, 10M, and 20M speed were the most dominant factors. Further index analysis forming Youth Soccer Performance Index (YSPI) resulting by categorizing three groups namely, high, moderate, and low. The regression model for this study was significant set as p < 0.001 and R2 is 0.8222 which explained that the model contributed a total of 82% prediction ability to predict the whole set of the variables. The significant parameters in contributing prediction of YSPI are discussed. As a conclusion, the precision of the prediction models by integrating a multilateral factor reflecting for predicting potential soccer player and hopefully can create a competitive soccer games.

  7. Common Factor Analysis Versus Principal Component Analysis: Choice for Symptom Cluster Research

    Directory of Open Access Journals (Sweden)

    Hee-Ju Kim, PhD, RN

    2008-03-01

    Conclusion: If the study purpose is to explain correlations among variables and to examine the structure of the data (this is usual for most cases in symptom cluster research, CFA provides a more accurate result. If the purpose of a study is to summarize data with a smaller number of variables, PCA is the choice. PCA can also be used as an initial step in CFA because it provides information regarding the maximum number and nature of factors. In using factor analysis for symptom cluster research, several issues need to be considered, including subjectivity of solution, sample size, symptom selection, and level of measure.

  8. Students' motivation to study dentistry in Malaysia: an analysis using confirmatory factor analysis.

    Science.gov (United States)

    Musa, Muhd Firdaus Che; Bernabé, Eduardo; Gallagher, Jennifer E

    2015-06-12

    Malaysia has experienced a significant expansion of dental schools over the past decade. Research into students' motivation may inform recruitment and retention of the future dental workforce. The objectives of this study were to explore students' motivation to study dentistry and whether that motivation varied by students' and school characteristics. All 530 final-year students in 11 dental schools (6 public and 5 private) in Malaysia were invited to participate at the end of 2013. The self-administered questionnaire, developed at King's College London, collected information on students' motivation to study dentistry and demographic background. Responses on students' motivation were collected using five-point ordinal scales. Confirmatory factor analysis (CFA) was used to evaluate the underlying structure of students' motivation to study dentistry. Multivariate analysis of variance (MANOVA) was used to compare factor scores for overall motivation and sub-domains by students' and school characteristics. Three hundred and fifty-six final-year students in eight schools (all public and two private) participated in the survey, representing an 83% response rate for these schools and 67% of all final-year students nationally. The majority of participants were 24 years old (47%), female (70%), Malay (56%) and from middle-income families (41%) and public schools (78%). CFA supported a model with five first-order factors (professional job, healthcare and people, academic, careers advising and family and friends) which were linked to a single second-order factor representing overall students' motivation. Academic factors and healthcare and people had the highest standardized factor loadings (0.90 and 0.71, respectively), suggesting they were the main motivation to study dentistry. MANOVA showed that students from private schools had higher scores for healthcare and people than those in public schools whereas Malay students had lower scores for family and friends than those

  9. Assessing urban and rural neighborhood characteristics using audit and GIS data: derivation and reliability of constructs

    Directory of Open Access Journals (Sweden)

    Laraia Barbara A

    2009-07-01

    Full Text Available Abstract Background Measures to assess neighborhood environments are needed to better understand the salient features that may enhance outdoor physical activities, such as walking and bicycling for transport or leisure. The purpose of this study was to derive constructs to describe neighborhoods using both primary (neighborhood audit and secondary (geographic information systems data. Methods We collected detailed information on 10,770 road segments using an audit and secondary data. The road segment sample was randomly split into an exploratory (60% and validation sample (40% for cross-validation. Using the exploratory sample (n = 6,388, seven a priori constructs were assessed separately (functionality, safety, aesthetics, destinations, incivilities, territorality, social spaces by urbanicity using multi-group confirmatory factor analysis (CFA. Additionally, new a posteriori constructs were derived using exploratory factor analysis (EFA. For cross-validation (n = 4,382, we tested factor loadings, thresholds, correlated errors, and correlations among a posteriori constructs between the two subsamples. Two-week test-retest reliability of the final constructs using a subsample of road segments (n = 464 was examined using Spearman correlation coefficients. Results CFA indicated the a priori constructs did not hold in this geographic area, with the exception of physical incivilities. Therefore, we used EFA to derive a four-factor solution on the exploratory sample: arterial or thoroughfare, walkable neighborhood, physical incivilities, and decoration. Using CFA on the validation sample, the internal validity for these a posteriori constructs was high (range 0.43 to 0.73 and the fit was acceptable. Spearman correlations indicated the arterial or thoroughfare factor displayed near perfect reliability in both urban and rural segments (r = 0.96. Both the physical incivilities factor and the walkable neighborhood factor had substantial to near perfect

  10. Emotional Benefits and Barriers of Psychological Services Scale: Initial construction and validation among African American women.

    Science.gov (United States)

    Watson-Singleton, Natalie N; Okunoren, Oladoyin; LoParo, Devon; Hunter, Carla D

    2017-11-01

    The current study used the Health Belief Model to develop a measure that assessed the emotional benefits and barriers of professional psychological services in an African American women sample. Data from 251 African American women recruited from online organizations from across the United States (n = 164) and a Midwestern university psychology subject pool (n = 87) were used for exploratory factor analysis. Results revealed a 2-factor structure of the Emotional Benefits and Barriers of Psychological Services (EBBPS) Scale: Life Enhancement and Concerns about Distress, respectively. Confirmatory factor analysis was performed with data from 208 African American women who were recruited from a Midwestern university psychology subject pool (n = 81), Mturk (n = 104), and online organizations across the United States (n = 23). Results confirmed the EFA 2-factor model and demonstrated superior fit compared with a unidimensional model as well as a 3 factor model. Both factors exhibited excellent internal consistency. Construct validity was supported given that EBBPS factors were correlated with theoretically related constructs, like psychological help-seeking attitudes, intentions to seek counseling, and cultural identity, as well as uncorrelated with theoretically unrelated constructs, like psychological distress. These findings support the utility and cultural relevance of the EBBPS with African American women. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

  11. [A Brief Homophobia Scale in Medical Students From Two Universities: Results of A Refinement Process].

    Science.gov (United States)

    Campo-Arias, Adalberto; Herazo, Edwin; Oviedo, Heidi Celina

    The process of evaluating measurement scales is an ongoing procedure that requires revisions and adaptations according to the characteristics of the participants. The Homophobia Scale of seven items (EHF-7) has showed acceptable performance in medical students attending to two universities in Colombia. However, performance of some items was poor and could be removed, with an improvement in the psychometric findings of items retained. To review the psychometric functioning and refine the content of EHF-7 among medical students from two Colombian universities. A group of 667 students from the first to tenth semester participated in the research. Theirs ages were between 18 and 34 (mean, 20.9±2.7) years-old, and 60.6% were females. Cronbach alpha (α) and omega of McDonald (Ω) were calculated as indicators of reliability and to refine the scale, an exploratory (EFA) and confirmatory factor analysis (CFA) was performed. EHF-7 showed α=.793 and Ω=.796 and a main factor that explained 45.2% of the total variance. EFA and CFA suggested the suppression of three items. The four-item version (EHF-4) reached an α=.770 and Ω=.775, with a single factor that accounted for 59.7% of the total variance. CFA showed better indexes (χ 2 =3.622; df=1; P=.057; Root-mean-square error of approximation (RMSEA)=.063, 90% CI, .000-.130; Comparative Fit Indices (CFI)=.998; Tucker-Lewis Index (TLI)=.991). EHF-4 shows high internal consistency and a single dimension that explains more than 50% of the total variance. Further studies are needed to confirm these observations, that can be taken as preliminary. Copyright © 2016 Asociación Colombiana de Psiquiatría. Publicado por Elsevier España. All rights reserved.

  12. Using Factor Analysis to Identify Topic Preferences Within MBA Courses

    Directory of Open Access Journals (Sweden)

    Earl Chrysler

    2003-02-01

    Full Text Available This study demonstrates the role of a principal components factor analysis in conducting a gap analysis as to the desired characteristics of business alumni. Typically, gap analyses merely compare the emphases that should be given to areas of inquiry with perceptions of actual emphases. As a result, the focus is upon depth of coverage. A neglected area in need of investigation is the breadth of topic dimensions and their differences between the normative (should offer and the descriptive (actually offer. The implications of factor structures, as well as traditional gap analyses, are developed and discussed in the context of outcomes assessment.

  13. A methodology to incorporate organizational factors into human reliability analysis

    International Nuclear Information System (INIS)

    Li Pengcheng; Chen Guohua; Zhang Li; Xiao Dongsheng

    2010-01-01

    A new holistic methodology for Human Reliability Analysis (HRA) is proposed to model the effects of the organizational factors on the human reliability. Firstly, a conceptual framework is built, which is used to analyze the causal relationships between the organizational factors and human reliability. Then, the inference model for Human Reliability Analysis is built by combining the conceptual framework with Bayesian networks, which is used to execute the causal inference and diagnostic inference of human reliability. Finally, a case example is presented to demonstrate the specific application of the proposed methodology. The results show that the proposed methodology of combining the conceptual model with Bayesian Networks can not only easily model the causal relationship between organizational factors and human reliability, but in a given context, people can quantitatively measure the human operational reliability, and identify the most likely root causes or the prioritization of root causes caused human error. (authors)

  14. Personality disorders in substance abusers: Validation of the DIP-Q through principal components factor analysis and canonical correlation analysis

    Directory of Open Access Journals (Sweden)

    Hesse Morten

    2005-05-01

    Full Text Available Abstract Background Personality disorders are common in substance abusers. Self-report questionnaires that can aid in the assessment of personality disorders are commonly used in assessment, but are rarely validated. Methods The Danish DIP-Q as a measure of co-morbid personality disorders in substance abusers was validated through principal components factor analysis and canonical correlation analysis. A 4 components structure was constructed based on 238 protocols, representing antagonism, neuroticism, introversion and conscientiousness. The structure was compared with (a a 4-factor solution from the DIP-Q in a sample of Swedish drug and alcohol abusers (N = 133, and (b a consensus 4-components solution based on a meta-analysis of published correlation matrices of dimensional personality disorder scales. Results It was found that the 4-factor model of personality was congruent across the Danish and Swedish samples, and showed good congruence with the consensus model. A canonical correlation analysis was conducted on a subset of the Danish sample with staff ratings of pathology. Three factors that correlated highly between the two variable sets were found. These variables were highly similar to the three first factors from the principal components analysis, antagonism, neuroticism and introversion. Conclusion The findings support the validity of the DIP-Q as a measure of DSM-IV personality disorders in substance abusers.

  15. Content Validity and Psychometric Properties of the Nomination Scale for Identifying Football Talent (NSIFT: Application to Coaches, Parents and Players

    Directory of Open Access Journals (Sweden)

    Alejandro Prieto-Ayuso

    2017-01-01

    Full Text Available The identification of football talent is a critical issue both for clubs and the families of players. However, despite its importance in a sporting, economic and social sense, there appears to be a lack of instruments that can reliably measure talent performance. The aim of this study was to design and validate the Nomination Scale for Identifying Football Talent (NSIFT, with the aim of optimising the processes for identifying said talent. The scale was first validated through expert judgment, and then statistically, by means of an exploratory factor analysis (EFA, confirmatory factor analysis (CFA, internal reliability and convergent validity. The results reveal the presence of three factors in the scale’s factor matrix, with these results being confirmed by the CFA. The scale revealed suitable internal reliability and homogeneity indices. Convergent validity showed that it is teammates who are best able to identify football talent, followed by coaches and parents. It can be concluded that the NSIFT is suitable for use in the football world. Future studies should seek to confirm these results in different contexts by means of further CFAs.

  16. Modular Open-Source Software for Item Factor Analysis

    Science.gov (United States)

    Pritikin, Joshua N.; Hunter, Micheal D.; Boker, Steven M.

    2015-01-01

    This article introduces an item factor analysis (IFA) module for "OpenMx," a free, open-source, and modular statistical modeling package that runs within the R programming environment on GNU/Linux, Mac OS X, and Microsoft Windows. The IFA module offers a novel model specification language that is well suited to programmatic generation…

  17. Perception on obesity among university students: A case study using factor analysis

    Science.gov (United States)

    Hassan, Suriani; Rahman, Nur Amira Abdol; Ghazali, Khadizah; Ismail, Norlita; Budin, Kamsia

    2014-07-01

    The purpose of this study was to examine the university students' perceptions on obesity and to compare the difference in mean scores factor based on demographic factors. Data was collected randomly using questionnaires. There were 321 university students participated in this study. Descriptive statistics, factor analysis, normality test, independent t test, one-way ANOVA and non-parametric tests were used in this study. Factor analysis results managed to retrieve three new factors namely impact of the health, impact of the physical appearance and personal factors. The study found that Science students have higher awareness and perceptions than Art students on Factor 1, impact of the health towards overweight problems and obesity. The findings of the study showed students, whose family background has obesity problem have higher awareness and perceptions than students' whose family background has no obesity problem on Factor 1, impact of the health towards overweight problems and obesity. The study also found that students' whose father with primary school level had the lowest awareness and perceptions on Factor 2, impact of the physical appearance towards overweight problems and obesity than other students whose father with higher academic level.

  18. Exploring factors that influence work analysis data: A meta-analysis of design choices, purposes, and organizational context.

    Science.gov (United States)

    DuVernet, Amy M; Dierdorff, Erich C; Wilson, Mark A

    2015-09-01

    Work analysis is fundamental to designing effective human resource systems. The current investigation extends previous research by identifying the differential effects of common design decisions, purposes, and organizational contexts on the data generated by work analyses. The effects of 19 distinct factors that span choices of descriptor, collection method, rating scale, and data source, as well as project purpose and organizational features, are explored. Meta-analytic results cumulated from 205 articles indicate that many of these variables hold significant consequences for work analysis data. Factors pertaining to descriptor choice, collection method, rating scale, and the purpose for conducting the work analysis each showed strong associations with work analysis data. The source of the work analysis information and organizational context in which it was conducted displayed fewer relationships. Findings can be used to inform choices work analysts make about methodology and postcollection evaluations of work analysis information. (c) 2015 APA, all rights reserved).

  19. Identification of advanced human factors engineering analysis, design and evaluation methods

    International Nuclear Information System (INIS)

    Plott, C.; Ronan, A. M.; Laux, L.; Bzostek, J.; Milanski, J.; Scheff, S.

    2006-01-01

    NUREG-0711 Rev.2, 'Human Factors Engineering Program Review Model,' provides comprehensive guidance to the Nuclear Regulatory Commission (NRC) in assessing the human factors practices employed by license applicants for Nuclear Power Plant control room designs. As software based human-system interface (HSI) technologies supplant traditional hardware-based technologies, the NRC may encounter new HSI technologies or seemingly unconventional approaches to human factors design, analysis, and evaluation methods which NUREG-0711 does not anticipate. A comprehensive survey was performed to identify advanced human factors engineering analysis, design and evaluation methods, tools, and technologies that the NRC may encounter in near term future licensee applications. A review was conducted to identify human factors methods, tools, and technologies relevant to each review element of NUREG-0711. Additionally emerging trends in technology which have the potential to impact review elements, such as Augmented Cognition, and various wireless tools and technologies were identified. The purpose of this paper is to provide an overview of the survey results and to highlight issues that could be revised or adapted to meet with emerging trends. (authors)

  20. A Confirmatory Factor Analysis of the Structure of Abbreviated Math Anxiety Scale

    Directory of Open Access Journals (Sweden)

    Farahman Farrokhi

    2011-06-01

    Full Text Available "nObjective: The aim of this study is to explore the confirmatory factor analysis results of the Persian adaptation of Abbreviated Math Anxiety Scale (AMAS, proposed by Hopko, Mahadevan, Bare & Hunt. "nMethod: The validity and reliability assessments of the scale were performed on 298 college students chosen randomly from Tabriz University in Iran. The confirmatory factor analysis (CFA was carried out to determine the factor structures of the Persian version of AMAS. "nResults: As expected, the two-factor solution provided a better fit to the data than a single factor. Moreover, multi-group analyses showed that this two-factor structure was invariant across sex. Hence, AMAS provides an equally valid measure for use among college students. "nConclusions:  Brief AMAS demonstrates adequate reliability and validity. The AMAS scores can be used to compare symptoms of math anxiety between male and female students. The study both expands and adds support to the existing body of math anxiety literature.

  1. Basic Education for Girls in Yemen: Country Case Study and Analysis. Mid-Decade Review of Progress towards Education for All.

    Science.gov (United States)

    Beatty, Sharon

    In 1995, the International Consultative Forum on Education for All (EFA) commissioned case studies in developing countries as part of a mid-decade review of progress in expanding access to basic education. This paper examines provision of basic education (grades 1-9) in Yemen, focusing on obstacles to girls' education in rural areas. The report…

  2. Consumer attitudes towards evidence based mental health services among American mental health consumers.

    Science.gov (United States)

    Teh, Lisa B; Hayashi, Kentaro; Latner, Janet; Mueller, Charles W

    2016-10-01

    The Consumer Attitudes towards Evidence Based Services (CAEBS) scale is a 29-item questionnaire designed to assess public views on the role of science in helping to guide mental health treatment. The aim of the current study was to assess the Factor structure the CAEBS in an online sample of adults seeking information about mental health services. The CAEBS was administered to a nationwide sample of participants from websites offering classified advertisements for mental health related study participation (n = 312). An Exploratory Factor Analysis (EFA) suggested four factors based on 26 of the items: Beliefs Regarding Therapists' Practices, Attitudes about Mental Health Policy, Negative Personal-Level Attitudes toward EBPs, and Negative Societal-Level Attitudes towards EBPs. In order to increase consumer empowerment within the mental health-care system and develop policies supporting EBP usage, mental health professionals need to increase communication with the public to address these concerns and leverage positive attitudes. © 2016 Australian College of Mental Health Nurses Inc.

  3. Analysis of risk factors in the development of retinopathy of prematurity.

    Science.gov (United States)

    Knezević, Sanja; Stojanović, Nadezda; Oros, Ana; Savić, Dragana; Simović, Aleksandra; Knezević, Jasmina

    2011-01-01

    Retinopathy of prematurity (ROP) is a multifactorial disease that occurs most frequently in very small and very sick preterm infants, and it has been identified as the major cause of childhood blindness. The aim of this study was to evaluate ROP incidence and risk factors associated with varying degrees of illness. The study was conducted at the Centre for Neonatology, Paediatric Clinic of the Clinical Centre Kragujevac, Serbia, in the period from June 2006 to December 2008. Ophthalmologic screening was performed in all children with body weight lower than 2000 g or gestational age lower than 36 weeks. We analyzed eighteen postnatal and six perinatal risk factors and the group correlations for each of the risk factors. Out of 317 children that were screened, 56 (17.7%) developed a mild form of ROP, while 68 (21.5%) developed a severe form. Univariate analysis revealed a large number of statistically significant risk factors for the development of ROP, especially the severe form. Multivariate logistical analysis further separated two independent risk factors: small birth weight (p = 0.001) and damage of central nervous system (p = 0.01). Independent risk factors for transition from mild to severe forms of ROP were identified as: small birth weight (p = 0.05) and perinatal risk factors (p = 0.02). Small birth weight and central nervous system damage were risk factors for the development of ROP, perinatal risk factors were identified as significant for transition from mild to severe form of ROP.

  4. Factors Affecting Green Residential Building Development: Social Network Analysis

    Directory of Open Access Journals (Sweden)

    Xiaodong Yang

    2018-05-01

    Full Text Available Green residential buildings (GRBs are one of the effective practices of energy saving and emission reduction in the construction industry. However, many real estate developers in China are less willing to develop GRBs, because of the factors affecting green residential building development (GRBD. In order to promote the sustainable development of GRBs in China, this paper, based on the perspective of real estate developers, identifies the influential and critical factors affecting GRBD, using the method of social network analysis (SNA. Firstly, 14 factors affecting GRBD are determined from 64 preliminary factors of three main elements, and the framework is established. Secondly, the relationships between the 14 factors are analyzed by SNA. Finally, four critical factors for GRBD, which are on the local economy development level, development strategy and innovation orientation, developer’s acknowledgement and positioning for GRBD, and experience and ability for GRBD, are identified by the social network centrality test. The findings illustrate the key issues that affect the development of GRBs, and provide references for policy making by the government and strategy formulation by real estate developers.

  5. Optimizing adherence in HIV prevention product trials: Development and psychometric evaluation of simple tools for screening and adherence counseling.

    Science.gov (United States)

    Tolley, Elizabeth E; Guthrie, Kate Morrow; Zissette, Seth; Fava, Joseph L; Gill, Katherine; Louw, Cheryl E; Kotze, Philip; Reddy, Krishnaveni; MacQueen, Kathleen

    2018-01-01

    Low adherence in recent HIV prevention clinical trials highlights the need to better understand, measure, and support product use within clinical trials. Conventional self-reported adherence instruments within HIV prevention trials, often relying on single-item questions, have proven ineffective. While objective adherence measures are desirable, none currently exist that apply to both active and placebo arms. Scales are composed of multiple items in the form of questions or statements that, when combined, measure a more complex construct that may not be directly observable. When psychometrically validated, such measures may better assess the multiple factors contributing to adherence/non-adherence. This study aimed to develop and psychometrically evaluate tools to screen and monitor trial participants' adherence to HIV prevention products within the context of clinical trial research. Based on an extensive literature review and conceptual framework, we identified and refined 86 items assessing potential predictors of adherence and 48 items assessing adherence experience. A structured survey, including adherence items and other variables, was administered to former ASPIRE and Ring Study participants and similar non-trial participants (n = 709). We conducted exploratory factor analyses (EFA) to identify a reduced set of constructs and items that could be used at screening to predict potential adherence, and at follow-up to monitor and intervene on adherence. We examined associations with other variables to assess content and construct validity. The EFA of screener items resulted in a 6-factor solution with acceptable to very good internal reliability (α: .62-.84). Similar to our conceptual framework, factors represent trial-related commitment (Distrust of Research and Commitment to Research); alignment with trial requirements (Visit Adherence and Trial Incompatibility); Belief in Trial Benefits and Partner Disclosure. The EFA on monitoring items resulted in 4

  6. A Comparison of Distribution Free and Non-Distribution Free Factor Analysis Methods

    Science.gov (United States)

    Ritter, Nicola L.

    2012-01-01

    Many researchers recognize that factor analysis can be conducted on both correlation matrices and variance-covariance matrices. Although most researchers extract factors from non-distribution free or parametric methods, researchers can also extract factors from distribution free or non-parametric methods. The nature of the data dictates the method…

  7. Application of factor analysis in psychological diagnostics (sample: study of students’ social safety

    Directory of Open Access Journals (Sweden)

    Pavel Aleksandrovich Kislyakov

    2015-10-01

    Our recommendations for the use of factor analysis, with necessary restrictions and clear reasons of a possible ambiguity of solutions, will be useful to everyone interested in mastering an adequate mathematical tool for solving problems pertaining to the humanities, in particular, those of practical psychology. As a practical example is presented the research of the psychological factors which provide students’ social safety. With the help of the factor analysis relevant personal and professional qualities of a teacher were revealed which are the subjective factors of students’ social safety, namely: social anticipation, socio-psychological stress resistance, social tolerance, professional orientation, responsibility, communication skills.

  8. Assessing the organizational context for EBP implementation: the development and validity testing of the Implementation Climate Scale (ICS).

    Science.gov (United States)

    Ehrhart, Mark G; Aarons, Gregory A; Farahnak, Lauren R

    2014-10-23

    Although the importance of the organizational environment for implementing evidence-based practices (EBP) has been widely recognized, there are limited options for measuring implementation climate in public sector health settings. The goal of this research was to develop and test a measure of EBP implementation climate that would both capture a broad range of issues important for effective EBP implementation and be of practical use to researchers and managers seeking to understand and improve the implementation of EBPs. Participants were 630 clinicians working in 128 work groups in 32 US-based mental health agencies. Items to measure climate for EBP implementation were developed based on past literature on implementation climate and other strategic climates and in consultation with experts on the implementation of EBPs in mental health settings. The sample was randomly split at the work group level of analysis; half of the sample was used for exploratory factor analysis (EFA), and the other half was used for confirmatory factor analysis (CFA). The entire sample was utilized for additional analyses assessing the reliability, support for level of aggregation, and construct-based evidence of validity. The EFA resulted in a final factor structure of six dimensions for the Implementation Climate Scale (ICS): 1) focus on EBP, 2) educational support for EBP, 3) recognition for EBP, 4) rewards for EBP, 5) selection for EBP, and 6) selection for openness. This structure was supported in the other half of the sample using CFA. Additional analyses supported the reliability and construct-based evidence of validity for the ICS, as well as the aggregation of the measure to the work group level. The ICS is a very brief (18 item) and pragmatic measure of a strategic climate for EBP implementation. It captures six dimensions of the organizational context that indicate to employees the extent to which their organization prioritizes and values the successful implementation of EBPs

  9. Omega-3 supplementation is neuroprotective to corneal nerves in dry eye disease: a pilot study.

    Science.gov (United States)

    Chinnery, Holly R; Naranjo Golborne, Cecilia; Downie, Laura E

    2017-07-01

    To investigate whether oral, long-chain omega-3 (ω-3) essential fatty acid (EFA) supplementation, for 3 months, induces changes to the central corneal sub-basal nerve plexus in dry eye disease and whether nerve alterations correlate with clinical findings. This prospective, comparative study involved the final 12 participants enrolled in a randomised, double-masked, placebo-controlled clinical trial of 60 participants with moderate dry eye disease. Participants received either placebo (olive oil 1500 mg/day; n = 4) or ω-3 EFA supplements (~1000 mg/day eicosapentaenoic acid + ~500 mg/day docosahexaenoic acid; n = 8) for 90 days. The main outcome measure was the mean change in central corneal sub-basal plexus nerve parameters between days one and 90, quantified using in vivo confocal microscopy. Secondary outcomes included mean change in tear osmolarity, corneal dendritic cell density and basal epithelial cell density. Compared with baseline, the reduction in OSDI score and tear osmolarity at day 90 were greater in the ω-3 EFA group than the placebo group (OSDI: ω-3 EFA, mean ± SEM: -15.6 ± 2.8 vs placebo: -2.8 ± 4.1 units, t 5 = 2.6, p = 0.04; tearosmolarity: ω-3 EFA: -22.63 ± 5.7 vs placebo: -8 ± 2.7 mOsmol/L, t 9 = 2.3, p = 0.04). At day 90, corneal total nerve branch density (CTBD: 91.1 ± 8.6 vs 45.1 ± 13.4 branches/mm 2 , F 1,10 = 14, p = 0.004) and corneal nerve branch density on the main fibre (CNBD: 63.4 ± 6.5 vs 27.9 ± 11.5 branches/mm 2 , F 1,10 = 6, p = 0.03) were higher in the ω-3 EFA group compared with placebo. Relative to day 1, CNBD (branches/mm 2 ) increased at day 90 in the ω-3 EFA group (+20.0 ± 9.2, t 8 = 3.2 p = 0.01) compared with placebo (-10.8 ± 3.2). Similar changes were evident for corneal nerve fibre length (CNFL, mm/mm 2 ), which increased from baseline at day 90 in the omega-3 EFA group (+2.9 ± 1.6, t 8 = 3.4 p = 0.01) compared with placebo (-2.7 ± 0.5). There was a negative correlation between CTBD and tear osmolarity

  10. Structural validity of the Wechsler Intelligence Scale for Children-Fifth Edition: Confirmatory factor analyses with the 16 primary and secondary subtests.

    Science.gov (United States)

    Canivez, Gary L; Watkins, Marley W; Dombrowski, Stefan C

    2017-04-01

    The factor structure of the Wechsler Intelligence Scale for Children-Fifth Edition (WISC-V; Wechsler, 2014a) standardization sample (N = 2,200) was examined using confirmatory factor analyses (CFA) with maximum likelihood estimation for all reported models from the WISC-V Technical and Interpretation Manual (Wechsler, 2014b). Additionally, alternative bifactor models were examined and variance estimates and model-based reliability estimates (ω coefficients) were provided. Results from analyses of the 16 primary and secondary WISC-V subtests found that all higher-order CFA models with 5 group factors (VC, VS, FR, WM, and PS) produced model specification errors where the Fluid Reasoning factor produced negative variance and were thus judged inadequate. Of the 16 models tested, the bifactor model containing 4 group factors (VC, PR, WM, and PS) produced the best fit. Results from analyses of the 10 primary WISC-V subtests also found the bifactor model with 4 group factors (VC, PR, WM, and PS) produced the best fit. Variance estimates from both 16 and 10 subtest based bifactor models found dominance of general intelligence (g) in accounting for subtest variance (except for PS subtests) and large ω-hierarchical coefficients supporting general intelligence interpretation. The small portions of variance uniquely captured by the 4 group factors and low ω-hierarchical subscale coefficients likely render the group factors of questionable interpretive value independent of g (except perhaps for PS). Present CFA results confirm the EFA results reported by Canivez, Watkins, and Dombrowski (2015); Dombrowski, Canivez, Watkins, and Beaujean (2015); and Canivez, Dombrowski, and Watkins (2015). (PsycINFO Database Record (c) 2017 APA, all rights reserved).

  11. Landslides geotechnical analysis. Qualitative assessment by valuation factors

    Science.gov (United States)

    Cuanalo Oscar, Sc D.; Oliva Aldo, Sc D.; Polanco Gabriel, M. E.

    2012-04-01

    In general, a landslide can cause a disaster when it is combined a number of factors such as an extreme event related to a geological phenomenon, vulnerable elements exposed in a specific geographic area, and the probability of loss and damage evaluated in terms of lives and economic assets, in a certain period of time. This paper presents the qualitative evaluation of slope stability through of Valuation Factors, obtained from the characterization of the determinants and triggers factors that influence the instability; for the first the morphology and topography, geology, soil mechanics, hydrogeology and vegetation to the second, the rain, earthquakes, erosion and scour, human activity, and ultimately dependent factors of the stability analysis, and its influence ranges which greatly facilitate the selection of construction processes best suited to improve the behavior of a slope or hillside. The Valuation Factors are a set of parameters for assessing the influence of conditioning and triggering factors that influence the stability of slopes and hillsides. The characteristics of each factor must be properly categorized to involve its effect on behavior; a way to do this is by assigning a weighted value range indicating its effect on the stability of a slope. It is proposed to use Valuation Factors with weighted values between 0 and 1 (arbitrarily selected but common sense and logic), the first corresponds to no or minimal effect on stability (no effect or very little influence) and the second, the greatest impact on it (has a significant influence). The meddle effects are evaluated with intermediate values.

  12. Multi-Scale Factor Analysis of High-Dimensional Brain Signals

    KAUST Repository

    Ting, Chee-Ming; Ombao, Hernando; Salleh, Sh-Hussain

    2017-01-01

    In this paper, we develop an approach to modeling high-dimensional networks with a large number of nodes arranged in a hierarchical and modular structure. We propose a novel multi-scale factor analysis (MSFA) model which partitions the massive

  13. Comparing 3 dietary pattern methods--cluster analysis, factor analysis, and index analysis--With colorectal cancer risk: The NIH-AARP Diet and Health Study.

    Science.gov (United States)

    Reedy, Jill; Wirfält, Elisabet; Flood, Andrew; Mitrou, Panagiota N; Krebs-Smith, Susan M; Kipnis, Victor; Midthune, Douglas; Leitzmann, Michael; Hollenbeck, Albert; Schatzkin, Arthur; Subar, Amy F

    2010-02-15

    The authors compared dietary pattern methods-cluster analysis, factor analysis, and index analysis-with colorectal cancer risk in the National Institutes of Health (NIH)-AARP Diet and Health Study (n = 492,306). Data from a 124-item food frequency questionnaire (1995-1996) were used to identify 4 clusters for men (3 clusters for women), 3 factors, and 4 indexes. Comparisons were made with adjusted relative risks and 95% confidence intervals, distributions of individuals in clusters by quintile of factor and index scores, and health behavior characteristics. During 5 years of follow-up through 2000, 3,110 colorectal cancer cases were ascertained. In men, the vegetables and fruits cluster, the fruits and vegetables factor, the fat-reduced/diet foods factor, and all indexes were associated with reduced risk; the meat and potatoes factor was associated with increased risk. In women, reduced risk was found with the Healthy Eating Index-2005 and increased risk with the meat and potatoes factor. For men, beneficial health characteristics were seen with all fruit/vegetable patterns, diet foods patterns, and indexes, while poorer health characteristics were found with meat patterns. For women, findings were similar except that poorer health characteristics were seen with diet foods patterns. Similarities were found across methods, suggesting basic qualities of healthy diets. Nonetheless, findings vary because each method answers a different question.

  14. Scale-Free Nonparametric Factor Analysis: A User-Friendly Introduction with Concrete Heuristic Examples.

    Science.gov (United States)

    Mittag, Kathleen Cage

    Most researchers using factor analysis extract factors from a matrix of Pearson product-moment correlation coefficients. A method is presented for extracting factors in a non-parametric way, by extracting factors from a matrix of Spearman rho (rank correlation) coefficients. It is possible to factor analyze a matrix of association such that…

  15. Inference algorithms and learning theory for Bayesian sparse factor analysis

    International Nuclear Information System (INIS)

    Rattray, Magnus; Sharp, Kevin; Stegle, Oliver; Winn, John

    2009-01-01

    Bayesian sparse factor analysis has many applications; for example, it has been applied to the problem of inferring a sparse regulatory network from gene expression data. We describe a number of inference algorithms for Bayesian sparse factor analysis using a slab and spike mixture prior. These include well-established Markov chain Monte Carlo (MCMC) and variational Bayes (VB) algorithms as well as a novel hybrid of VB and Expectation Propagation (EP). For the case of a single latent factor we derive a theory for learning performance using the replica method. We compare the MCMC and VB/EP algorithm results with simulated data to the theoretical prediction. The results for MCMC agree closely with the theory as expected. Results for VB/EP are slightly sub-optimal but show that the new algorithm is effective for sparse inference. In large-scale problems MCMC is infeasible due to computational limitations and the VB/EP algorithm then provides a very useful computationally efficient alternative.

  16. Inference algorithms and learning theory for Bayesian sparse factor analysis

    Energy Technology Data Exchange (ETDEWEB)

    Rattray, Magnus; Sharp, Kevin [School of Computer Science, University of Manchester, Manchester M13 9PL (United Kingdom); Stegle, Oliver [Max-Planck-Institute for Biological Cybernetics, Tuebingen (Germany); Winn, John, E-mail: magnus.rattray@manchester.ac.u [Microsoft Research Cambridge, Roger Needham Building, Cambridge, CB3 0FB (United Kingdom)

    2009-12-01

    Bayesian sparse factor analysis has many applications; for example, it has been applied to the problem of inferring a sparse regulatory network from gene expression data. We describe a number of inference algorithms for Bayesian sparse factor analysis using a slab and spike mixture prior. These include well-established Markov chain Monte Carlo (MCMC) and variational Bayes (VB) algorithms as well as a novel hybrid of VB and Expectation Propagation (EP). For the case of a single latent factor we derive a theory for learning performance using the replica method. We compare the MCMC and VB/EP algorithm results with simulated data to the theoretical prediction. The results for MCMC agree closely with the theory as expected. Results for VB/EP are slightly sub-optimal but show that the new algorithm is effective for sparse inference. In large-scale problems MCMC is infeasible due to computational limitations and the VB/EP algorithm then provides a very useful computationally efficient alternative.

  17. the use of the dynamic magnification factor in the dynamic analysis

    African Journals Online (AJOL)

    Uncle Greg 4 Real

    bridges and some country's codes of practice made specifications in respect of the dynamic magnification factor for the analysis and design of various types of structures subjected to ... span. For example the United kingdom code. [10] presented dynamic magnification factors, related ... For SDOF (Single Degree of Freedom).

  18. Factor analysis and Mokken scaling of the Organizational Commitment Questionnaire in nurses.

    Science.gov (United States)

    Al-Yami, M; Galdas, P; Watson, R

    2018-03-22

    To generate an Arabic version of the Organizational Commitment Questionnaire that would be easily understood by Arabic speakers and would be sensitive to Arabic culture. The nursing workforce in Saudi Arabia is undergoing a process of Saudization but there is a need to understand the factors that will help to retain this workforce. No organizational commitment tools exist in Arabic that are specifically designed for health organizations. An Arabic version of the organizational commitment tool could aid Arabic speaking employers to understand their employees' perceptions of their organizations. Translation and back-translation followed by factor analysis (principal components analysis and confirmatory factor analysis) to test the factorial validity and item response theory (Mokken scaling). A two-factor structure was obtained for the Organizational Commitment Questionnaire comprising Factor 1: Value commitment; and Factor 2: Commitment to stay with acceptable reliability measured by internal consistency. A Mokken scale was obtained including items from both factors showing a hierarchy of items running from commitment to the organization and commitment to self. This study shows that the Arabic version of the OCQ retained the established two-factor structure of the original English-language version. Although the two factors - 'value commitment' and 'commitment to stay' - repudiate the original developers' single factor claim. A useful insight into the structure of the Organizational Commitment Questionnaire has been obtained with the novel addition of a hierarchical scale. The Organizational Commitment Questionnaire is now ready to be used with nurses in the Arab speaking world and could be used a tool to measure the contemporary commitment of nursing employees and in future interventions aimed at increasing commitment and retention of valuable nursing staff. © 2018 International Council of Nurses.

  19. Qualitative analysis of factors leading to clinical incidents.

    Science.gov (United States)

    Smith, Matthew D; Birch, Julian D; Renshaw, Mark; Ottewill, Melanie

    2013-01-01

    The purpose of this paper is to evaluate the common themes leading or contributing to clinical incidents in a UK teaching hospital. A root-cause analysis was conducted on patient safety incidents. Commonly occurring root causes and contributing factors were collected and correlated with incident timing and severity. In total, 65 root-cause analyses were reviewed, highlighting 202 factors implicated in the clinical incidents and 69 categories were identified. The 14 most commonly occurring causes (encountered in four incidents or more) were examined as a key-root or contributory cause. Incident timing was also analysed; common factors were encountered more frequently during out-hours--occurring as contributory rather than a key-root cause. In total, 14 commonly occurring factors were identified to direct interventions that could prevent many clinical incidents. From these, an "Organisational Safety Checklist" was developed to involve departmental level clinicians to monitor practice. This study demonstrates that comprehensively investigating incidents highlights common factors that can be addressed at a local level. Resilience against clinical incidents is low during out-of-hours periods, where factors such as lower staffing levels and poor service provision allows problems to escalate and become clinical incidents, which adds to the literature regarding out-of-hours care provision and should prove useful to those organising hospital services at departmental and management levels.

  20. Validity and reliability of the Early Childhood Caries Perceptions Scale (ECCPS) to assess health beliefs related to early childhood caries prevention among primary caregivers of children under 5 years of age.

    Science.gov (United States)

    Pisarnturakit, Pagaporn P; Shaw, Bret R; Tanasukarn, Chanuantong; Vatanasomboon, Paranee

    2012-09-01

    Primary caregivers' child oral health care beliefs and practices are major factors in the prevention of Early Childhood Caries (ECC). This study assessed the validity and reliability of a newly-developed scale--the Early Childhood Caries Perceptions Scale (ECCPS)--used to measure beliefs regarding ECC preventive practices among primary caregivers of young children. The ECCPS was developed based on the Health Belief Model. The construct validity and reliability of the ECCPS were examined among 254 low-socioeconomic status primary caregivers with children under five years old, recruifed from 4 Bangkok Metropolitan Administration Health Centers and a kindergarten school. Exploratory factor analysis (EFA) revealed a four-factor structure. The four factors were labeled as Perceived Susceptibility, Perceived Severity, Perceived Benefits and Perceived Barriers. Internal consistency measured by the Cronbach's coefficient alpha for those four factors were 0.897, 0.971, 0.975 and 0.789, respectively. The ECCPS demonstrated satisfactory levels of reliability and validity for assessing the health beliefs related to ECC prevention among low-socioeconomic primary caregivers.