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Sample records for factor analysis confirmatory

  1. Factorial invariance in multilevel confirmatory factor analysis.

    Science.gov (United States)

    Ryu, Ehri

    2014-02-01

    This paper presents a procedure to test factorial invariance in multilevel confirmatory factor analysis. When the group membership is at level 2, multilevel factorial invariance can be tested by a simple extension of the standard procedure. However level-1 group membership raises problems which cannot be appropriately handled by the standard procedure, because the dependency between members of different level-1 groups is not appropriately taken into account. The procedure presented in this article provides a solution to this problem. This paper also shows Muthén's maximum likelihood (MUML) estimation for testing multilevel factorial invariance across level-1 groups as a viable alternative to maximum likelihood estimation. Testing multilevel factorial invariance across level-2 groups and testing multilevel factorial invariance across level-1 groups are illustrated using empirical examples. SAS macro and Mplus syntax are provided.

  2. Multigroup Confirmatory Factor Analysis: Locating the Invariant Referent Sets

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    French, Brian F.; Finch, W. Holmes

    2008-01-01

    Multigroup confirmatory factor analysis (MCFA) is a popular method for the examination of measurement invariance and specifically, factor invariance. Recent research has begun to focus on using MCFA to detect invariance for test items. MCFA requires certain parameters (e.g., factor loadings) to be constrained for model identification, which are…

  3. Using Confirmatory Factor Analysis for Construct Validation: An Empirical Review

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    DiStefano, Christine; Hess, Brian

    2005-01-01

    This study investigated the psychological assessment literature to determine what applied researchers are using and reporting from confirmatory factor analysis (CFA) studies for evidence of construct validation. One hundred and one articles published in four major psychological assessment journals between 1990 and 2002 were systematically…

  4. Confirmatory Factor Analysis of the Procrastination Assessment Scale for Students

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    Ronald D. Yockey

    2015-10-01

    Full Text Available The relative fit of one- and two-factor models of the Procrastination Assessment Scale for Students (PASS was investigated using confirmatory factor analysis on an ethnically diverse sample of 345 participants. The results indicated that although the two-factor model provided better fit to the data than the one-factor model, neither model provided optimal fit. However, a two-factor model which accounted for common item theme pairs used by Solomon and Rothblum in the creation of the scale provided good fit to the data. In addition, a significant difference by ethnicity was also found on the fear of failure subscale of the PASS, with Whites having significantly lower scores than Asian Americans or Latino/as. Implications of the results are discussed and recommendations made for future work with the scale.

  5. IDENTIFICATION OF CRITICAL SSCM ACTIVITIES THROUGH CONFIRMATORY FACTOR ANALYSIS

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    V. Narasimham

    2013-06-01

    Full Text Available As a developing country, economic and environmental performance has to be balanced in India. Green supply chain management (GSCM is emerging as an important proactive approach for Indian enterprises for improving environmental performance of processes and products in accordance with the requirements of environmental regulations. This study examines the consistency approaches by confirmatory factor analysis that determines the construct validity, convergent validity,construct reliability and internal consistency of the items of Sustainable supply chain management (SSCM requirements. This study examines the consistency approaches by Confirmatory factor analysis that determines the adoption and implementation of Sustainable supply chain management activities in small & medium scale industries. The requirements include Management commitment, customer coordination, sustainable design & production, green procurement and eco logistics for sustainable supply chains. This study suggested that the five factor model with eighteen items of the sustainable supply chain design had a good fit. Further, the study showed a valid and reliable measurement to identify critical items among the requirements of sustainable supply chains.

  6. Confirmatory Factor Analysis of the Social Interest Index

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    Gary K. Leak

    2011-10-01

    Full Text Available Social interest was Alfred Adler’s most important personality trait, and it reflects one’s genuine concern for the welfare of all individuals. Several measures of social interest are available, and the Social Interest Index (SII is one of the most popular in current use. This study is the first to report the results of a confirmatory factor analysis of the SII. Using college students, three models were tested in an effort to find support for the factorial validity of this scale. All analyses showed a poor fit between the theoretical model and scale items. The results paint a fairly negative picture of the factor structure of this important scale.

  7. 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.

  8. MULTIDIMENSIONAL RELIABILITY OF INSTRUMENT STUDENTS’ SATISFACTION USING CONFIRMATORY FACTOR ANALYSIS

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    Gaguk Margono

    2014-11-01

    Full Text Available The purpose of this paper is to compare unidimensional reliability and multidimensional reliability of instrument students’ satisfaction as an internal costumer. Multidimensional reliability measurement is rarely used in the field of research. Multidimensional reliability is estimated by using Confirmatory Factor Analysis (CFA on the Structural Equation Model (SEM. Measurements and calculations are described in this article using instrument students’ satisfaction as an internal costumer. Survey method used in this study and sampling used simple random sampling. This instrument has been tried out to 173 students. The result is concluded that the measuringinstrument of students’ satisfaction as an internal costumer by using multidimensional reliability coefficient has higher accuracy when compared with a unidimensional reliability coefficient. Expected in advanced research used another formula multidimensional reliability, including when using SEM.

  9. Confirmatory factor analysis of the WAIS-IV/WMS-IV.

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    Holdnack, James A; Xiaobin Zhou; Larrabee, Glenn J; Millis, Scott R; Salthouse, Timothy A

    2011-06-01

    The Wechsler Adult Intelligence Scale-fourth edition (WAIS-IV) and the Wechsler Memory Scale-fourth edition (WMS-IV) were co-developed to be used individually or as a combined battery of tests. The independent factor structure of each of the tests has been identified; however, the combined factor structure has yet to be determined. Confirmatory factor analysis was applied to the WAIS-IV/WMS-IV Adult battery (i.e., age 16-69 years) co-norming sample (n = 900) to test 13 measurement models. The results indicated that two models fit the data equally well. One model is a seven-factor solution without a hierarchical general ability factor: Verbal Comprehension, Perceptual Reasoning, Processing Speed, Auditory Working Memory, Visual Working Memory, Auditory Memory, and Visual Memory. The second model is a five-factor model composed of Verbal Comprehension, Perceptual Reasoning, Processing Speed, Working Memory, and Memory with a hierarchical general ability factor. Interpretative implications for each model are discussed.

  10. Confirmatory Factor Analysis on the Big 5 Personality Test Inventory

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    Kamarulzaman, Wirawani; Nordin, Mohamad Sahari

    2012-01-01

    This paper is intended to examine the validity of Big 5 Personality test inventory of 44 questions with 5-Likert Scale measurement. Confirmatory factory analysis (CFA) was conducted to determine the good fit indices of the 5 personality types. Those types are 1) extraversion, 2) agreeableness, 3) conscientiousness, 4) openness and 5) neuroticism.…

  11. Reliability estimation in a multilevel confirmatory factor analysis framework.

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    Geldhof, G John; Preacher, Kristopher J; Zyphur, Michael J

    2014-03-01

    Scales with varying degrees of measurement reliability are often used in the context of multistage sampling, where variance exists at multiple levels of analysis (e.g., individual and group). Because methodological guidance on assessing and reporting reliability at multiple levels of analysis is currently lacking, we discuss the importance of examining level-specific reliability. We present a simulation study and an applied example showing different methods for estimating multilevel reliability using multilevel confirmatory factor analysis and provide supporting Mplus program code. We conclude that (a) single-level estimates will not reflect a scale's actual reliability unless reliability is identical at each level of analysis, (b) 2-level alpha and composite reliability (omega) perform relatively well in most settings, (c) estimates of maximal reliability (H) were more biased when estimated using multilevel data than either alpha or omega, and (d) small cluster size can lead to overestimates of reliability at the between level of analysis. We also show that Monte Carlo confidence intervals and Bayesian credible intervals closely reflect the sampling distribution of reliability estimates under most conditions. We discuss the estimation of credible intervals using Mplus and provide R code for computing Monte Carlo confidence intervals.

  12. Confirmatory Factor Analysis of the ISB - Burnout Syndrome Inventory

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    Ana Maria T. Benevides-Pereira

    2017-05-01

    Full Text Available AimBurnout is a dysfunctional reaction to chronic occupational stress. The present study analysis the psychometric qualities of the Burnout Syndrome Inventory (ISB through Confirmatory Factor Analysis (CFA.MethodEmpirical study in a multi-centre and multi-occupational sample (n = 701 using the ISB. The Part I assesses antecedent factors: Positive Organizational Conditions (PC and Negative Organizational Conditions (NC. The Part II assesses the syndrome: Emotional Exhaustion (EE, Dehumanization (DE, Emotional Distancing (ED and Personal Accomplishment (PA.ResultsThe highest means occurred in the positive scales CP (M = 23.29, SD = 5.89 and PA (M = 14.84, SD = 4.71. Negative conditions showed the greatest variability (SD = 6.03. Reliability indexes were reasonable, with the lowest rate at .77 for DE and the highest rate .91 for PA. The CFA revealed RMSEA = .057 and CFI = .90 with all scales regressions showing significant values (β = .73 until β = .92.ConclusionThe ISB showed a plausible instrument to evaluate burnout. The two sectors maintained the initial model and confirmed the theoretical presupposition. This instrument makes possible a more comprehensive idea of the labour context, and one or another part may be used separately according to the needs and the aims of the assessor.

  13. Confirmatory Factor Analysis of the Career Factors Inventory on a Community College Sample

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    Simon, Merril A.; Tovar, Esau

    2004-01-01

    A confirmatory factor analysis was conducted using AMOS 4.0 to validate the 21-item Career Factors Inventory on a community college student sample. The multidimensional inventory assesses types and levels of career indecision antecedents. The sample consisted of 512 ethnically diverse freshmen students; 46% were men and 54% were women.…

  14. Confirmatory factor analysis of the Oral Health Impact Profile.

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    John, M T; Feuerstahler, L; Waller, N; Baba, K; Larsson, P; Celebić, A; Kende, D; Rener-Sitar, K; Reissmann, D R

    2014-09-01

    Previous exploratory analyses suggest that the Oral Health Impact Profile (OHIP) consists of four correlated dimensions and that individual differences in OHIP total scores reflect an underlying higher-order factor. The aim of this report is to corroborate these findings in the Dimensions of Oral Health-Related Quality of Life (DOQ) Project, an international study of general population subjects and prosthodontic patients. Using the project's Validation Sample (n = 5022), we conducted confirmatory factor analyses in a sample of 4993 subjects with sufficiently complete data. In particular, we compared the psychometric performance of three models: a unidimensional model, a four-factor model and a bifactor model that included one general factor and four group factors. Using model-fit criteria and factor interpretability as guides, the four-factor model was deemed best in terms of strong item loadings, model fit (RMSEA = 0·05, CFI = 0·99) and interpretability. These results corroborate our previous findings that four highly correlated factors - which we have named Oral Function, Oro-facial Pain, Oro-facial Appearance and Psychosocial Impact - can be reliably extracted from the OHIP item pool. However, the good fit of the unidimensional model and the high interfactor correlations in the four-factor solution suggest that OHRQoL can also be sufficiently described with one score.

  15. Dimensionality of an Early Childhood Scale Using Rasch Analysis and Confirmatory Factor Analysis.

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    Banerji, Madhabi; Smith, Richard M.; Dedrick, Robert F.

    1997-01-01

    This paper explores the use of Rasch analysis and linear confirmatory factor analysis to investigate the dimensionality of an early childhood test, the Gesell School Readiness Screening Test (F. Ilg and others, 1978). Discusses empirical analyses of results from 523 kindergarten students using both methods. (SLD)

  16. A Markov Chain Monte Carlo Approach to Confirmatory Item Factor Analysis

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    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…

  17. Confirmatory Factor Analysis of the WISC-IV in a Hospital Referral Sample

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    Devena, Sarah E.; Gay, Catherine E.; Watkins, Marley W.

    2013-01-01

    Confirmatory factor analysis was used to determine the factor structure of the Wechsler Intelligence Scale for Children-Fourth Edition (WISC-IV) scores of 297 children referred to a children's hospital in the Southwestern United States. Results support previous findings that indicate the WISC-IV is best represented by a direct hierarchical…

  18. Confirmatory Factor Analysis of the Elementary School Success Profile for Teachers

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    Webber, Kristina C.; Rizo, Cynthia F.; Bowen, Natasha K.

    2012-01-01

    Objectives: This study examines the factor structure and scale quality of data collected with the online Elementary School Success Profile (ESSP) for Teachers from a sample of teachers of 1,145 third through fifth graders. Methods: Confirmatory factor analysis (CFA) using Mplus and weighted least squares means and variances adjusted (WLSMV)…

  19. Confirmatory factor analysis of the Sport Organizational Effectiveness Scale.

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    Karteroliotis, Konstantinos; Papadimitriou, Dimitra

    2004-08-01

    The purpose of this study was to examine the factorial validity of the 5-factor model of sport organizational effectiveness developed by Papadimitriou and Taylor. This questionnaire has 33 items which assess five composite effectiveness dimensions pertinent to the operation of sport organizations: calibre of the board and external liaisons, interest in athletes, internal procedures, long term planning, and sport science support. The multiple constituency approach was used as a theoretical framework for developing this scale. Data were obtained from respondents affiliated with 20 Greek national sport organizations with a questionnaire. Analysis indicated that the 5-factor model of effectiveness is workable in assessing the organizational performance of nonprofit sport organizations. The application of the multiple constituency approach in studying sport organizational effectiveness was also suggested.

  20. Confirmatory Factor Analysis of Persian Adaptation of Multidimensional Students' Life Satisfaction Scale (MSLSS)

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    Hatami, Gissou; Motamed, Niloofar; Ashrafzadeh, Mahshid

    2010-01-01

    Validity and reliability of Persian adaptation of MSLSS in the 12-18 years, middle and high school students (430 students in grades 6-12 in Bushehr port, Iran) using confirmatory factor analysis by means of LISREL statistical package were checked. Internal consistency reliability estimates (Cronbach's coefficient [alpha]) were all above the…

  1. Metropolis-Hastings Robbins-Monro Algorithm for Confirmatory Item Factor Analysis

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    Cai, Li

    2010-01-01

    Item factor analysis (IFA), already well established in educational measurement, is increasingly applied to psychological measurement in research settings. However, high-dimensional confirmatory IFA remains a numerical challenge. The current research extends the Metropolis-Hastings Robbins-Monro (MH-RM) algorithm, initially proposed for…

  2. Metropolis-Hastings Robbins-Monro Algorithm for Confirmatory Item Factor Analysis

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    Cai, Li

    2010-01-01

    Item factor analysis (IFA), already well established in educational measurement, is increasingly applied to psychological measurement in research settings. However, high-dimensional confirmatory IFA remains a numerical challenge. The current research extends the Metropolis-Hastings Robbins-Monro (MH-RM) algorithm, initially proposed for…

  3. The Effect of Missing Data Handling Methods on Goodness of Fit Indices in Confirmatory Factor Analysis

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    Köse, Alper

    2014-01-01

    The primary objective of this study was to examine the effect of missing data on goodness of fit statistics in confirmatory factor analysis (CFA). For this aim, four missing data handling methods; listwise deletion, full information maximum likelihood, regression imputation and expectation maximization (EM) imputation were examined in terms of…

  4. Psychometric Properties and Confirmatory Factor Analysis of the Student Engagement in School Success Skills

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    Brigman, Greg; Wells, Craig; Webb, Linda; Villares, Elizabeth; Carey, John C.; Harrington, Karen

    2015-01-01

    This article describes the confirmatory factor analysis of the Student Engagement in School Success Skills (SESSS) instrument. The results of this study confirm that the SESSS has potential to be a useful self-report measure of elementary students' use of strategies and skills associated with enhanced academic learning and achievement.

  5. Assessing Model Fit: Caveats and Recommendations for Confirmatory Factor Analysis and Exploratory Structural Equation Modeling

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    Perry, John L.; Nicholls, Adam R.; Clough, Peter J.; Crust, Lee

    2015-01-01

    Despite the limitations of overgeneralizing cutoff values for confirmatory factor analysis (CFA; e.g., Marsh, Hau, & Wen, 2004), they are still often employed as golden rules for assessing factorial validity in sport and exercise psychology. The purpose of this study was to investigate the appropriateness of using the CFA approach with these…

  6. Psychometric Properties and Confirmatory Factor Analysis of the Student Engagement in School Success Skills

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    Brigman, Greg; Wells, Craig; Webb, Linda; Villares, Elizabeth; Carey, John C.; Harrington, Karen

    2015-01-01

    This article describes the confirmatory factor analysis of the Student Engagement in School Success Skills (SESSS) instrument. The results of this study confirm that the SESSS has potential to be a useful self-report measure of elementary students' use of strategies and skills associated with enhanced academic learning and achievement.

  7. Collinear Latent Variables in Multilevel Confirmatory Factor Analysis: A Comparison of Maximum Likelihood and Bayesian Estimations

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    Can, Seda; van de Schoot, Rens; Hox, Joop

    2015-01-01

    Because variables may be correlated in the social and behavioral sciences, multicollinearity might be problematic. This study investigates the effect of collinearity manipulated in within and between levels of a two-level confirmatory factor analysis by Monte Carlo simulation. Furthermore, the influence of the size of the intraclass correlation…

  8. Collinear Latent Variables in Multilevel Confirmatory Factor Analysis: A Comparison of Maximum Likelihood and Bayesian Estimations

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    Can, Seda; van de Schoot, Rens; Hox, Joop

    2014-01-01

    Because variables may be correlated in the social and behavioral sciences, multicollinearity might be problematic. This study investigates the effect of collinearity manipulated in within and between levels of a two-level confirmatory factor analysis by Monte Carlo simulation. Furthermore, the influ

  9. Confirmatory Factor Analysis of the Psychopathy Checklist: Screening Version in Offenders With Axis I Disorders

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    Hill, Christie D.; Neumann, Craig S.; Rogers, Richard

    2004-01-01

    One hundred forty-nine inpatients within a maximum security psychiatric facility were assessed with the Psychopathy Checklist: Screening Version (PCL:SV; S. D. Hart, D. N. Cox, & R. D. Hare, 1995). Within the total sample, 68% had a psychotic disorder and 30% met criteria for psychopathy. Using confirmatory factor analysis, the authors tested the…

  10. A confirmatory factor analysis of the Self-Directed Learning Readiness Scale.

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    Williams, Brett; Brown, Ted

    2013-12-01

    The Self-Directed Learning Readiness Scale measures readiness for self-directed learning among undergraduate healthcare students. While several exploratory factor analyses and one confirmatory factor analysis have examined the psychometric properties of the Self-Directed Learning Readiness Scale, questions have been raised regarding the underlying latent constructs being measured. The objective of this study was to determine the best-fitting Self-Directed Learning Readiness Scale factorial structure among three models published in the literature. Data from the three-factor 40-item Self-Directed Learning Readiness Scale completed by 233 undergraduate paramedic students from four Australian universities (response rate of 26%) were analyzed using maximum likelihood confirmatory factor analysis. Comparison of model fit from the 40-item version was undertaken with the previously documented four-factor 36-item and three-factor 29-item Self-Directed Learning Readiness Scales. The model fit indices of the three one-factor congeneric models with maximum likelihood analysis demonstrate that the 40-item Self-Directed Learning Readiness Scale does not fit the data well. The best fitting model was the four-factor 36-item Self-Directed Learning Readiness Scale followed by the three-factor 29-item models. The confirmatory factor analysis results did not support the overall construct validity of the original 40-item Self-Directed Learning Readiness Scale. © 2013 Wiley Publishing Asia Pty Ltd.

  11. Confirmatory Factor Analysis of the WAIS-IV/WMS-IV

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    Holdnack, James A.; Zhou, Xiaobin; Larrabee, Glenn J.; Millis, Scott R.; Salthouse, Timothy A.

    2011-01-01

    The Wechsler Adult Intelligence Scale-fourth edition (WAIS-IV) and the Wechsler Memory Scale-fourth edition (WMS-IV) were co-developed to be used individually or as a combined battery of tests. The independent factor structure of each of the tests has been identified; however, the combined factor structure has yet to be determined. Confirmatory…

  12. Confirmatory Factor Analysis of the WAIS-IV/WMS-IV

    Science.gov (United States)

    Holdnack, James A.; Zhou, Xiaobin; Larrabee, Glenn J.; Millis, Scott R.; Salthouse, Timothy A.

    2011-01-01

    The Wechsler Adult Intelligence Scale-fourth edition (WAIS-IV) and the Wechsler Memory Scale-fourth edition (WMS-IV) were co-developed to be used individually or as a combined battery of tests. The independent factor structure of each of the tests has been identified; however, the combined factor structure has yet to be determined. Confirmatory…

  13. Confirmatory factor analysis of a Spanish version of the sex fantasy questionnaire: assessing gender differences.

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    Sierra, Juan Carlos; Ortega, Virgilio; Zubeidat, Ihab

    2006-01-01

    The objective of this study was to validate the factor structure of Wilson's Sex Fantasy Questionnaire (SFQ; Wilson, 1978; Wilson & Lang, 1981) using a Spanish version. In order to do this, we conducted confirmatory factor analysis on two nonclinical samples containing 195 men and 315 women. Both groups were tested for the structure proposed by Wilson and also for some alternative models. Confirmatory factor analysis showed that four factors were reasonably distinct, especially for the men. We proposed shortened version of the instrument that would have sufficient psychometric guarantees for assessing sexual fantasies in both genders. This abridged version improved the fit of the four-factor oblique factor equally for both the samples of men and women. In the light of the results of the validation hypothesis established with some criterion variables (dyadic sexual desire, unconventional sex, homophobia), we discuss discrepancies between both versions.

  14. Confirmatory factor analysis of the Multidimensional Inventory of Perfectionism in Sport

    OpenAIRE

    Madigan, Daniel J.

    2016-01-01

    Objectives and Method: The Multidimensional Inventory of Perfectionism in Sport (MIPS; Stoeber, Otto, & Stoll, 2006) is a commonly used measure of perfectionism in sport. However, there is limited empirical evidence supporting its subscale structure and composition. Therefore, the present study investigated the factor structure of the MIPS in a sample of 470 athletes (mean age 20.0 years).\\ud \\ud Results: Confirmatory factor analysis showed that the data supported the hypothesized four-factor...

  15. Confirmatory Factor Analysis of the Work Locus of Control Scale

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    Oliver, Joseph E.; Jose, Paul E.; Brough, Paula

    2006-01-01

    Original formulations of the Work Locus of Control Scale (WLCS) proposed a unidimensional structure of this measure; however, more recently, evidence for a two-dimensional structure has been reported, with separate subscales for internal and external loci of control. The current study evaluates the one- and two-factor models with confirmatory…

  16. Confirmatory Factor Analysis of the Geriatric Depression Scale

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    Adams, Kathryn Betts; Matto, Holly C.; Sanders, Sara

    2004-01-01

    Purpose: The Geriatric Depression Scale (GDS) is widely used in clinical and research settings to screen older adults for depressive symptoms. Although several exploratory factor analytic structures have been proposed for the scale, no independent confirmation has been made available that would enable investigators to confidently identify scores…

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

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    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.

  18. Confirmatory factor analysis of the portuguese Depression Anxiety Stress Scales-21

    OpenAIRE

    Apóstolo,João Luís Alves; Tanner,Barry Allen; Arfken,Cynthia Lee

    2012-01-01

    To determine which of three published models best characterizes the factor structure of the Portuguese version of the Depression Anxiety Stress Scales-21 and to assess its validity and reliability. Confirmatory factor analysis of Depression Anxiety and Stress Scale-21 for 1,297 adult, primary care outpatients (66.7% female, Mage = 48.57 years) comparing 3 models. The relationship between the Depression Anxiety Stress Scales-21 and the Positive and Negative Affect Schedule was analyzed. The co...

  19. Confirmatory Factor Analysis of the Structure of Statistics Anxiety Measure: An Examination of Four Alternative Models

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    Hossein Bevrani, PhD

    2011-09-01

    Full Text Available Objective: The aim of this study is to explore the confirmatory factor analysis results of the Persian adaptation of Statistics Anxiety Measure (SAM, proposed by Earp.Method: The validity and reliability assessments of the scale were performed on 298 college students chosen randomly from Tabriz University in Iran. Confirmatory factor analysis (CFA was carried out to determine the factor structures of the Persian adaptation of SAM.Results: As expected, the second order model provided a better fit to the data than the three alternative models. Conclusions: Hence, SAM provides an equally valid measure for use among college students. The study both expands and adds support to the existing body of math anxiety literature.

  20. Confirmatory factor analysis for the Eating Disorder Examination Questionnaire: Evidence supporting a three-factor model.

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    Barnes, Jennifer; Prescott, Tim; Muncer, Steven

    2012-12-01

    The purpose of this investigation was to compare the goodness-of-fit of a one factor model with the four factor model proposed by Fairburn (2008) and the three factor model proposed by Peterson and colleagues (2007) for the Eating Disorder Examination Questionnaire (EDE-Q 6.0) (Fairburn and Beglin, 1994). Using a cross-sectional design, the EDE-Q was completed by 569 adults recruited from universities and eating disorder charities in the UK. Confirmatory factor analysis (CFA) was carried out for both the student and non-student groups. CFA indicated that Peterson et al.'s (2007) three factor model was the best fit for both groups within the current data sample. Acceptable levels of internal reliability were observed and there was clear evidence for a hierarchical factor of eating disorder. The results of this study provide support for the three factor model of the EDE-Q suggested by Peterson and colleagues (2007) in that this model was appropriate for both the student and non-student sample populations. Copyright © 2012 Elsevier Ltd. All rights reserved.

  1. Factor Structure of the Student-Teacher Relationship Scale for Norwegian School-Age Children Explored with Confirmatory Factor Analysis

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    Drugli, May Britt; Hjemdal, Odin

    2013-01-01

    The validity of the Student-Teacher Relationship Scale (STRS) was examined in a national sample of 863 Norwegian schoolchildren in grades 1-7 (aged 6-13). The original factor structure of the STRS was tested by confirmatory factor analysis (CFA). The CFA results did not support the original three-factor structure of the STRS. Subsequent CFA of the…

  2. The Italian version of the Junior Eysenck Personality Questionnaire: a confirmatory factor analysis.

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    Vidotto, Giulio; Cioffi, Raffaele; Saggino, Aristide; Wilson, Glenn

    2008-12-01

    An experimental version of the Italian Junior Eysenck Personality Questionnaire with a 5-point scale was administered to a group of 1,000 high school students, 200 within each age group from 11 to 15 years. Following a previous exploratory factor analysis, which yielded a fourth factor in addition to the original three, the aim of the present research was to study the factor structure of the Italian version using confirmatory factor analysis. Three models were tested, a three-factor orthogonal model, a three-factor oblique model, and a four-factor model based on an a priori separation of extraversion items into two sets. None of the considered models converged satisfactorily. An interpretation of the results was proposed.

  3. A Confirmatory Factor Analysis of the Structure of Abbreviated Math Anxiety Scale

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    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.

  4. Confirmatory factor analysis of the Child Oral Health Impact Profile (Korean version).

    Science.gov (United States)

    Cho, Young Il; Lee, Soonmook; Patton, Lauren L; Kim, Hae-Young

    2016-04-01

    Empirical support for the factor structure of the Child Oral Health Impact Profile (COHIP) has not been fully established. The purposes of this study were to evaluate the factor structure of the Korean version of the COHIP (COHIP-K) empirically using confirmatory factor analysis (CFA) based on the theoretical framework and then to assess whether any of the factors in the structure could be grouped into a simpler single second-order factor. Data were collected through self-reported COHIP-K responses from a representative community sample of 2,236 Korean children, 8-15 yr of age. Because a large inter-factor correlation of 0.92 was estimated in the original five-factor structure, the two strongly correlated factors were combined into one factor, resulting in a four-factor structure. The revised four-factor model showed a reasonable fit with appropriate inter-factor correlations. Additionally, the second-order model with four sub-factors was reasonable with sufficient fit and showed equal fit to the revised four-factor model. A cross-validation procedure confirmed the appropriateness of the findings. Our analysis empirically supported a four-factor structure of COHIP-K, a summarized second-order model, and the use of an integrated summary COHIP score.

  5. Confirmatory factor analysis of the Neuropsychological Assessment Battery of the LADIS study

    DEFF Research Database (Denmark)

    Moleiro, Carla; Madureira, Sofia; Verdelho, Ana

    2013-01-01

    Age-related white matter changes have been associated with cognitive functioning, even though their role is not fully understood. This work aimed to test a 3-factor model of the neuropsychological assessment battery and evaluate how the model fit the data longitudinally. Confirmatory factor...... analysis (CFA) was used to investigate the dimensions of a structured set of neuropsychological tests administered to a multicenter, international sample of independent older adults (LADIS study). Six hundred and thirty-eight older adults completed baseline neuropsychological, clinical, functional...... and motor assessments, which were repeated each year for a 3-year follow-up. CFA provided support for a 3-factor model. These factors involve the dimensions of executive functions, memory functions, and speed and motor control abilities. Performance decreased in most neuropsychological measures. Results...

  6. Confirmatory factor analysis of the Portuguese Depression Anxiety Stress Scales-21.

    Science.gov (United States)

    Apóstolo, João Luís Alves; Tanner, Barry Allen; Arfken, Cynthia Lee

    2012-01-01

    To determine which of three published models best characterizes the factor structure of the Portuguese version of the Depression Anxiety Stress Scales-21 and to assess its validity and reliability. Confirmatory factor analysis of Depression Anxiety and Stress Scale-21 for 1,297 adult, primary care outpatients (66.7% female, Mage = 48.57 years) comparing 3 models. The relationship between the Depression Anxiety Stress Scales-21 and the Positive and Negative Affect Schedule was analyzed. The correlated 3-factor model fit the data best. The scale demonstrated good internal consistency, with alpha scores of the subscales ranging from 0.836 to 0.897. Correlation with the Positive and Negative Affect Schedule was positive and moderate with the negative affect scale; it was negative and limited with the positive affect. These findings support the correlated 3-factor structure. The test demonstrated adequate reliability and construct validity, which supports its use for screening in primary care settings with Portuguese speakers.

  7. Identification of Effective Leadership Indicators in Ghanaian Retail Banks Using AMOS-Based Confirmatory Factor Analysis

    DEFF Research Database (Denmark)

    Sanda, Aminu; Kuada, John

    2013-01-01

    to the data. Based on the findings from both factor analysis and Confirmatory factor analysis, the study established that managers of retail banks in Ghana could be perceived by their employees as good leaders if they give employees full credit for the work that they do. Handling employee issues very well......In the light of the importance of banks to the economic growth process in Ghana, this study sought to identify the determinants of effective leadership style that is appreciated by employees in retail banking firms in Ghana, towards providing practitioners with crucial information that could enable...... and taking care of their complaints as well as putting in place systems for enhancing employees’ career advancement into specialist departments or management positions are also perceived as good determinant of leadership. It is therefore hypothesized that managers of retail banks in Ghana could be perceived...

  8. Old and new ideas for data screening and assumption testing for exploratory and confirmatory factor analysis

    Directory of Open Access Journals (Sweden)

    David B. Flora

    2012-03-01

    Full Text Available We provide a basic review of the data screening and assumption testing issues relevant to exploratory and confirmatory factor analysis along with practical advice for conducting analyses that are sensitive to these concerns. Historically, factor analysis was developed for explaining the relationships among many continuous test scores, which led to the expression of the common factor model as a multivariate linear regression model with observed, continuous variables serving as dependent variables and unobserved factors as the independent, explanatory variables. Thus, we begin our paper with a review of the assumptions for the common factor model and data screening issues as they pertain to the factor analysis of continuous observed variables. In particular, we describe how principles from regression diagnostics also apply to factor analysis. Next, because modern applications of factor analysis frequently involve the analysis of the individual items from a single test or questionnaire, an important focus of this paper is the factor analysis of items. Although the traditional linear factor model is well-suited to the analysis of continuously distributed variables, commonly used item types, including Likert-type items, almost always produce dichotomous or ordered categorical variables. We describe how relationships among such items are often not well described by product-moment correlations, which has clear ramifications for the traditional linear factor analysis. An alternative, non-linear factor analysis using polychoric correlations has become more readily available to applied researchers and thus more popular. Consequently, we also review the assumptions and data-screening issues involved in this method. Throughout the paper, we demonstrate these procedures using an historic data set of nine cognitive ability variables.

  9. Old and new ideas for data screening and assumption testing for exploratory and confirmatory factor analysis.

    Science.gov (United States)

    Flora, David B; Labrish, Cathy; Chalmers, R Philip

    2012-01-01

    We provide a basic review of the data screening and assumption testing issues relevant to exploratory and confirmatory factor analysis along with practical advice for conducting analyses that are sensitive to these concerns. Historically, factor analysis was developed for explaining the relationships among many continuous test scores, which led to the expression of the common factor model as a multivariate linear regression model with observed, continuous variables serving as dependent variables, and unobserved factors as the independent, explanatory variables. Thus, we begin our paper with a review of the assumptions for the common factor model and data screening issues as they pertain to the factor analysis of continuous observed variables. In particular, we describe how principles from regression diagnostics also apply to factor analysis. Next, because modern applications of factor analysis frequently involve the analysis of the individual items from a single test or questionnaire, an important focus of this paper is the factor analysis of items. Although the traditional linear factor model is well-suited to the analysis of continuously distributed variables, commonly used item types, including Likert-type items, almost always produce dichotomous or ordered categorical variables. We describe how relationships among such items are often not well described by product-moment correlations, which has clear ramifications for the traditional linear factor analysis. An alternative, non-linear factor analysis using polychoric correlations has become more readily available to applied researchers and thus more popular. Consequently, we also review the assumptions and data-screening issues involved in this method. Throughout the paper, we demonstrate these procedures using an historic data set of nine cognitive ability variables.

  10. Structural validity of the Pittsburgh Sleep Quality Index in Chinese undergraduate students: A confirmatory factor analysis

    Directory of Open Access Journals (Sweden)

    Suran Guo

    2016-08-01

    Full Text Available The purpose of this study was to examine the structural validity of the Pittsburgh Sleep Quality Index (PSQI in Chinese undergraduate students. A cross-sectional questionnaire survey with 631 Chinese undergraduate students was conducted, and the questionnaire package included a measure of demographic characteristics, Pittsburgh Sleep Quality Index (PSQI, Chinese editions of Center for Epidemiologic Studies-Depression, State- Trait Anxiety Inventory, Rumination Response Scale, and Perceived Social Support Scale. Results showed that the item use of sleep medicine was not suitable for use with this population, that a two-factor model provided the best fit to the data as assessed through confirmatory factor analysis, and that other indices were consistently correlated with the sleep quality but not the sleep efficiency factor.

  11. A Rasch and confirmatory factor analysis of the General Health Questionnaire (GHQ - 12

    Directory of Open Access Journals (Sweden)

    Velikova Galina

    2010-04-01

    Full Text Available Abstract Background The General Health Questionnaire (GHQ - 12 was designed as a short questionnaire to assess psychiatric morbidity. Despite the fact that studies have suggested a number of competing multidimensional factor structures, it continues to be largely used as a unidimensional instrument. This may have an impact on the identification of psychiatric morbidity in target populations. The aim of this study was to explore the dimensionality of the GHQ-12 and to evaluate a number of alternative models for the instrument. Methods The data were drawn from a large heterogeneous sample of cancer patients. The Partial Credit Model (Rasch was applied to the 12-item GHQ. Item misfit (infit mean square ≥ 1.3 was identified, misfitting items removed and unidimensionality and differential item functioning (age, gender, and treatment aims were assessed. The factor structures of the various alternative models proposed in the literature were explored and optimum model fit evaluated using Confirmatory Factor Analysis. Results The Rasch analysis of the 12-item GHQ identified six misfitting items. Removal of these items produced a six-item instrument which was not unidimensional. The Rasch analysis of an 8-item GHQ demonstrated two unidimensional structures corresponding to Anxiety/Depression and Social Dysfunction. No significant differential item functioning was observed by age, gender and treatment aims for the six- and eight-item GHQ. Two models competed for best fit from the confirmatory factor analysis, namely the GHQ-8 and Hankin's (2008 unidimensional model, however, the GHQ-8 produced the best overall fit statistics. Conclusions The results are consistent with the evidence that the GHQ-12 is a multi-dimensional instrument. Use of the summated scores for the GHQ-12 could potentially lead to an incorrect assessment of patients' psychiatric morbidity. Further evaluation of the GHQ-12 with different target populations is warranted.

  12. Confirmatory factor analysis and job burnout correlates of the Health Professions Stress Inventory.

    Science.gov (United States)

    Akhtar, Syed; Lee, Jenny S Y

    2002-02-01

    Previous research in 1994 by Gupchup and Wolfgang identified four factors from Wolfgang's Health Professions Stress Inventory (1988) that were common among a sample of practicing pharmacists. The factors were labeled Professional Recognition. Patient Care Responsibilities, Job Conflicts, and Professional Uncertainty, respectively. We used confirmatory factor analysis to assess whether this factor structure was generalizable to nurses. To examine concurrent validity, we correlated the factors with Maslach and Jackson's three dimensions of job burnout, i.e., Emotional Exhaustion, Depersonalization, and Personal Accomplishment. Data were collected through a questionnaire survey of a random sample of 9,380 nurses from across 43 public hospitals in Hong Kong, from which 2,267 (24.2%) responded. Analysis indicated statistically acceptable goodness of fit indices for the four-factor solution. Except for the factor Patient Care Responsibilities. all other factors had moderate correlations between .44 and .53 with Emotional Exhaustion and Depersonalization. Correlations between the factors of Stress Inventory and Personal Accomplishment were small but significant, ranging from -.25 to .13. Areas for further improving the psychometric properties of the inventory are discussed.

  13. Confirmatory Factor Analysis of the Trinity Inventory of Precursors to Suicide (TIPS) and Its Relationship to Hopelessness and Depression

    Science.gov (United States)

    Smyth, Caroline L.; MacLachlan, Malcolm

    2005-01-01

    Numerous existing measures assess attitudes toward suicide yet fail to account for contextual factors. The Trinity Inventory of Precursors to Suicide (TIPS) is presented as an alternative, with implications for the development of prevention programs. Having previously reported exploratory analysis of the TIPS; confirmatory factor analysis and…

  14. Confirmatory Factor Analysis of the Conformity to Feminine Norms Inventory and Development of an Abbreviated Version: The CFNI-45

    Science.gov (United States)

    Parent, Mike C.; Moradi, Bonnie

    2010-01-01

    The present study undertakes the first factor analysis of the Conformity to Feminine Norms Inventory (CFNI) conducted since the instrument's development. Confirmatory factor analysis using data from 243 women offered mixed support for the original 84-item CFNI structure and pointed to ways to modify the structure and reduce the length of the…

  15. The Construct Validity of Scores on the Ways of Coping Questionnaire: Confirmatory Analysis of Alternative Factor Structures.

    Science.gov (United States)

    Edwards, Jeffrey R.; O'Neill, Regina M.

    1998-01-01

    Confirmatory factor analysis was used to evaluate alternative factor structures, based on previous exploratory factor analyses and coping dimensions derived from the theory of R. Lazarus, for the Ways of Coping Questionnaire (S. Folkman and R. Lazarus, 1988). Results from responses of 654 college graduates provide little support for the factor…

  16. Confirmatory factor analysis of teaching and learning guiding principles instrument among teacher educators in higher education institutions

    Science.gov (United States)

    Masuwai, Azwani; Tajudin, Nor'ain Mohd; Saad, Noor Shah

    2017-05-01

    The purpose of this study is to develop and establish the validity and reliability of an instrument to generate teaching and learning guiding principles using Teaching and Learning Guiding Principles Instrument (TLGPI). Participants consisted of 171 Malaysian teacher educators. It is an essential instrument to reflect in generating the teaching and learning guiding principles in higher education level in Malaysia. Confirmatory Factor Analysis has validated all 19 items of TLGPI whereby all items indicated high reliability and internal consistency. A Confirmatory Factor Analysis also confirmed that a single factor model was used to generate teaching and learning guiding principles.

  17. The Internal Structure of Positive and Negative Affect: A Confirmatory Factor Analysis of the PANAS

    Science.gov (United States)

    Tuccitto, Daniel E.; Giacobbi, Peter R., Jr.; Leite, Walter L.

    2010-01-01

    This study tested five confirmatory factor analytic (CFA) models of the Positive Affect Negative Affect Schedule (PANAS) to provide validity evidence based on its internal structure. A sample of 223 club sport athletes indicated their emotions during the past week. Results revealed that an orthogonal two-factor CFA model, specifying error…

  18. The Internal Structure of Positive and Negative Affect: A Confirmatory Factor Analysis of the PANAS

    Science.gov (United States)

    Tuccitto, Daniel E.; Giacobbi, Peter R., Jr.; Leite, Walter L.

    2010-01-01

    This study tested five confirmatory factor analytic (CFA) models of the Positive Affect Negative Affect Schedule (PANAS) to provide validity evidence based on its internal structure. A sample of 223 club sport athletes indicated their emotions during the past week. Results revealed that an orthogonal two-factor CFA model, specifying error…

  19. A confirmatory factor analysis of the PTSD checklist 5 in veteran and college student samples.

    Science.gov (United States)

    R Eddinger, Jasmine; E McDevitt-Murphy, Meghan

    2017-09-01

    An important change in the conceptualization of posttraumatic stress disorder (PTSD) has been the shift from a three-factor model used in the DSM-IV-TR to the current four-factor model used in DSM-5. Early research initially supported the three-factor model, but most recent data suggest a four-factor model provides the best fit. Still other research has examined evidence for a five-factor model that would include depression sequelae. By way of a confirmatory factor analysis, we demonstrate the reliability of DSM-5 PTSD criteria clustering in a sample of 124 OEF/OIF/OND Veterans treated at a VAMC (49% white, 89% men) and a sample of 737 college students (48% white, 78% women). All participants were trauma-exposed, and completed the PTSD Checklist for DSM-5. The current study shows both samples best support a five-factor model over two four factor models considered for the DSM-5, though none provided better than moderate fit. Implications of the current findings regarding the reliability of the new DSM-5 criteria of PTSD will be discussed. Copyright © 2017. Published by Elsevier B.V.

  20. Critical parameters governing energy density of Li-storage cathode materials unraveled by confirmatory factor analysis

    Science.gov (United States)

    Sohn, Kee-Sun; Han, Su Cheol; Park, Woon Bae; Pyo, Myoungho

    2016-03-01

    Despite extensive effort during the past few decades, a comprehensive understanding of the key variables governing the electrochemical properties of cathode materials in Li-ion batteries is still far from complete. To elucidate the critical parameters affecting energy density (ED) and capacity (Q) retention in layer and spinel cathodes, we data-mine the existing experimental data via confirmatory factor analysis (CFA) based on a structural equation model (SEM), which is a proven, versatile tool in understanding complex problems in the social science. The data sets are composed of 18 and 15 parameters extracted from 38 layer and 33 spinel compounds, respectively. CFA reveals the irrelevance of Q retention to all the parameters we adopt, but it also reveals the sensitive variations of ED with specific parameters. We validate the usefulness of CFA in material science and pinpointed critical parameters for high-ED cathodes, hoping to suggest a new insight in materials design.

  1. Childhood Trauma Questionnaire (CTQ) in Brazilian Samples of Different Age Groups: Findings from Confirmatory Factor Analysis

    Science.gov (United States)

    Grassi-Oliveira, Rodrigo; Cogo-Moreira, Hugo; Salum, Giovanni Abrahão; Brietzke, Elisa; Viola, Thiago Wendt; Manfro, Gisele Gus; Kristensen, Christian Haag; Arteche, Adriane Xavier

    2014-01-01

    The Childhood Trauma Questionnaire (CTQ) is internationally accepted as a key tool for the assessment of childhood abuse and neglect experiences. However, there are relative few psychometric studies available and some authors have proposed two different factor solutions. We examined the dimensional structure and internal consistency of the Brazilian version of the CTQ. A total of 1,925 participants from eight different clinical and non-clinical samples including adolescents, adults and elders were considered in this study. First, we performed Confirmatory Factor Analysis to investigate the goodness of fit of the two proposed competitive factor structure models for the CTQ. We also investigated the internal consistency of all factors. Second, multi-group analyses were used to investigate measurement invariance and population heterogeneity across age groups and sex. Our findings revealed that the alternative factor structure as opposed to the original factor structure was the most appropriate model within adolescents and adults Brazilian samples. We provide further evidence for the validity and reliability of the CTQ within the Brazilian samples and report that the alternative model showed an improvement in fit indexes and may be a better alternative over the original model. PMID:24475237

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

    Science.gov (United States)

    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…

  3. Confirmatory Factor Analysis of a Questionnaire Measure of Managerial Stigma Towards Employee Depression.

    Science.gov (United States)

    Martin, Angela J; Giallo, Rebecca

    2016-12-01

    Managers' attitudes play a key role in how organizations respond to employees with depression. We examine the measurement properties of a questionnaire designed to assess managerial stigma towards employees with depression. Using data from a sample of 469 Australian managers representing a wide range of industries and work settings, we conducted a confirmatory factor analysis to assess three proposed subscales representing affective, cognitive and behavioural forms of stigma. Results were equivocal indicating acceptable fit for two-factor (affective and cognitive + behavioural), three-factor (affective, cognitive and behavioural) and higher order models. Failure to demonstrate the discriminant validity of the cognitive and behavioural dimensions, even though they are theoretically distinct, suggests that further work on the scale is warranted. These results provide an extension to the psychometric profile of this measure (exploratory factor analysis; Martin, ). Development of strategies to operationalize this construct will benefit occupational health research and practice, particularly in interventions that aim to reduce the stigma of mental health issues in the workplace or where managers' attitudes are a key mechanism in intervention efficacy. We encourage future research on this measure pertaining in particular to further enhancing all aspects of its construct validity. Copyright © 2015 John Wiley & Sons, Ltd. Copyright © 2015 John Wiley & Sons, Ltd.

  4. Confirmatory factor analysis of the PedsQL among youth in a residential treatment setting.

    Science.gov (United States)

    Hoffman, Steven; Lambert, Matthew C; Nelson, Timothy D; Trout, Alexandra L; Epstein, Michael H; Pick, Robert

    2013-10-01

    The Pediatric Quality of Life assessment (PedsQL™) is the most widely used measure for assessing adolescent health-related quality of life (HRQoL). While youth in residential treatment facilities face many physical and mental health, behavioral, education, and familial challenges that could impact their HRQoL, no research has sought to assess the factor structure of the PedsQL™ among youth receiving residential care. High school-aged youth (N = 229) attending a large residential treatment center in Omaha, NE were recruited to complete a data collection packet comprised of various health assessments including the PedsQL. Four competing confirmatory factor analysis models were used to test the hypothesized internal structure of the PedsQL™ 4.0 Teen Report. Models A, B, and C had acceptable CFI (≥.90), TLI (≥.90), and RMSEA (≤.08) fit indicators. However, factor loadings for items 5 and 6 were problematic. After removing the two problematic items, Model D was fit to the data and proved to be the superior of the four models. This model included two first-order factors (physical health problems; school attendance problems) and one second-order factor (psychological health problems). The findings suggest that researchers and practitioners studying youth in residential settings can reliably use the PedsQL™ to assess their HRQoL.

  5. Erroneous gambling-related beliefs as illusions of primary and secondary control: a confirmatory factor analysis.

    Science.gov (United States)

    Ejova, Anastasia; Delfabbro, Paul H; Navarro, Daniel J

    2015-03-01

    Different classification systems for erroneous beliefs about gambling have been proposed, consistently alluding to 'illusion of control' and 'gambler's fallacy' categories. None of these classification systems have, however, considered the how the illusion of control and the gambler's fallacy might be interrelated. In this paper, we report the findings of a confirmatory factor analysis that examines the proposal that most erroneous gambling-related beliefs can be defined in terms of Rothbaum et al.'s (J Pers Soc Psychol, doi: 10.1037/0022-3514.42.1.5 , 1982) distinction between 'primary' and 'secondary' illusory control, with the former being driven to a large extent by the well-known gambler's fallacy and the latter being driven by a complex of beliefs about supernatural forces such as God and luck. A survey consisting of 100 items derived from existing instruments was administered to 329 participants. The analysis confirmed the existence of two latent structures (beliefs in primary and secondary control), while also offering support to the idea that gambler's fallacy-style reasoning may underlie both perceived primary control and beliefs about the cyclical nature of luck, a form of perceived secondary control. The results suggest the need for a greater focus on the role of underlying processes or belief structures as factors that foster susceptibility to specific beliefs in gambling situations. Addressing and recognising the importance of these underlying factors may also have implications for cognitive therapy treatments for problem gambling.

  6. Recovery of weak factor loadings when adding the mean structure in confirmatory factor analysis: A simulation study

    Directory of Open Access Journals (Sweden)

    Carmen eXiménez

    2016-01-01

    Full Text Available This article extends previous research on the recovery of weak factor loadings in confirmatory factor analysis by exploring the effects of adding the mean structure. This issue has not been examined in previous research. This study is based on the framework of Yung and Bentler (1999 and aims to examine the conditions that affect the recovery of weak factor loadings when the model includes the mean structure, compared to analyzing the covariance structure alone. A simulation study was conducted in which several constraints were defined for one-, two-, and three-factor models. Results show that adding the mean structure improves the recovery of weak factor loadings and reduces the asymptotic variances for the factor loadings, particularly for the models with a smaller number of factors and a small sample size. Therefore, under certain circumstances, modeling the means should be seriously considered for covariance models containing weak factor loadings.

  7. Validation of the French sensory gating inventory: a confirmatory factor analysis.

    Science.gov (United States)

    Micoulaud-Franchi, Jean-Arthur; Hetrick, William P; Boyer, Laurent; Bolbecker, Amanda; Aramaki, Mitsuko; Ystad, Sølvi; Richieri, Raphaëlle; El-Kaim, Alexandre; Faget, Catherine; Faugere, Mélanie; Cermolacce, Michel; Kronland-Martinet, Richard; Lancon, Christophe; Vion-Dury, Jean

    2014-12-30

    The Sensory Gating Inventory (SGI) is an instrument investigating daily experiences of sensory gating deficit developed for English speaking schizophrenia patients. The purpose of this study is to design and validate a French version of the SGI. A forward-backward translation of the SGI was performed. The psychometric properties of the French SGI version were analyzed. A confirmatory factor analysis (CFA) was carried out to determine whether factor structure of the French version is similar to the original English version. In a sample of 363 healthy subjects (mean age=31.8 years, S.D.=12.2 years) the validation process revealed satisfactory psychometric properties: the internal consistency reliability was confirmed for each dimension; each item achieved the 0.40 standard threshold for item-internal consistency; each item was more highly correlated with its contributive dimension than with the other dimensions; and based on a CFA, we found a 4-factor structure for the French version of the SGI similar to the original instrument. Test-retest reliability was not determined. The French version of the SGI is a psychometrically sound self-report for measuring phenomenological sensory gating experiences.

  8. Confirmatory factor analysis of the German Readiness for Interprofessional Learning Scale (RIPLS-D).

    Science.gov (United States)

    Mahler, Cornelia; Giesler, Marianne; Stock, Christian; Krisam, Johannes; Karstens, Sven; Szecsenyi, Joachim; Krug, Katja

    2016-05-01

    Over the past five years, the development of interprofessional education programmes has been gaining momentum in Germany fostering the need to evaluate these with appropriate instruments. Instead of developing a new instrument for evaluation purposes, the Readiness for Interprofessional Learning Scale (RIPLS) was chosen, as it is a widespread instrument that has been used in a variety of different educational settings and countries. The German version of the RIPLS was administered in two sites to health professional students in Heidelberg and Freiburg, Germany. Cronbach's alpha was used to examine internal consistency. Confirmatory factor analysis (CFA) was performed for confirmation of the underlying factor structure of the RIPLS-D. In total, 531 questionnaires were analysed. The instrument showed overall reliability (0.81) and low reliability (< 0.7) in the subscales. The underlying factor structure could not be confirmed. These results contribute further evidence on deficits with the RIPLS. Despite known issues, the RIPLS continues to be translated and applied. This paper highlights the problematic issues in the RIPLS-D and does not recommend its use.

  9. Using confirmatory factor analysis to manage discriminant validity issues in social pharmacy research.

    Science.gov (United States)

    Carter, Stephen R

    2016-06-01

    Background Confirmatory factory analysis (CFA) and structural equation modelling (SEM) are increasingly used in social pharmacy research. One of the key benefits of CFA is that it allows researchers to provide evidence for the validity of internal factor structure of measurement scales. In particular, CFA can be used to provide evidence for the validity of the assertion that a hypothesized multi-dimensional scale discriminates between sub-scales. Aim This manuscript aims to provide guidance for researchers who wish to use CFA to provide evidence for the internal factor structure of measurement scales. Methods The manuscript places discriminant validity in the context of providing overall validity evidence for measurement scales. Four examples from the recent social pharmacy literature are used to critically examine the various methods which are used to establish discriminant validity. Using a hypothetical scenario, the manuscript demonstrates how commonly used output from CFA computer programs can be used to provide evidence for separateness of sub-scales within a multi-dimensional scale. Conclusion The manuscript concludes with recommendations for the conduct and reporting of studies which use CFA to provide evidence of internal factor structure of measurement scales.

  10. Confirmatory Factor Analysis of the French Version of the Anticipatory and Consummatory Interpersonal Pleasure Scale

    Directory of Open Access Journals (Sweden)

    Joséphine Chaix

    2017-07-01

    Full Text Available The Anticipatory and Consummatory Interpersonal Pleasure Scale (ACIPS, a measure specifically designed to assess hedonic capacity for social and interpersonal pleasure, was used to evaluate the presence of social anhedonia in patients as well as the general population. The first goal of this study was to validate the structure of the French version of the ACIPS. The second objective was to verify whether a one, two or three factor solution is most appropriate for the ACIPS scale. The French version of the ACIPS was tested on 263 French-speaking pre-graduate students or professional volunteers. For the confirmatory factor analysis, data were treated as categorical ordinal and all the models were estimated using a robust weighted least squares estimator with adjustments for the mean and variance. Three models were estimated. A one-factor model representing a general undifferentiated “pleasure” latent construct was first tested on the 17 ACIPS items. A two-factor model distinguishing anticipatory-pleasure and consummatory-pleasure was tested next. Finally, a three-factor model including subdomains of intimate social interactions, group social interactions, and social bonding was tested. The one and two-factor models showed a somewhat poor fit to the data. However, the goodness of fit of the three factor model was adequate. These results suggest that individuals who enjoyed interaction in one of these three subdomains were more likely to enjoy doing so in the two other domains. However, on the basis of the comparison between the one and three factor models, these three types of interactions may not be considered as indistinguishable. Rather, they represent distinct and theoretically meaningful dimensions. These results show the French version of the ACIPS is a useful and valid scale to measure the capacity of savoring different kinds of social relationships.

  11. Confirmatory Factor Analysis for Testing Validity and Reliability of Traditional Knowledge Scale to Measure University Students' Attitudes

    Science.gov (United States)

    Ugulu, Ilker

    2013-01-01

    This study focuses on the confirmatory factor analysis for testing validity and reliability of Traditional Knowledge Attitude Scale (TKAS) to measure university students' attitudes. The items in the TKAS were developed initially from the responses to two open-ended items by 30 university students and literature review on traditional…

  12. Multiple-Group Confirmatory Factor Analysis in R--A Tutorial in Measurement Invariance with Continuous and Ordinal Indicators

    Science.gov (United States)

    Hirschfeld, Gerrit; von Brachel, Ruth

    2014-01-01

    Multiple-group confirmatory factor analysis (MG-CFA) is among the most productive extensions of structural equation modeling. Many researchers conducting cross-cultural or longitudinal studies are interested in testing for measurement and structural invariance. The aim of the present paper is to provide a tutorial in MG-CFA using the freely…

  13. Choosing among Multiple Achievement Measures: Applying Multitrait--Multimethod Confirmatory Factor Analysis to State Assessment, ACT, and Student GPA Data

    Science.gov (United States)

    Dickinson, Emily R.; Adelson, Jill L.

    2016-01-01

    Practitioners and researchers interested in understanding student achievement, its predictors, and how it relates to other student outcomes are likely unaware of how the source information about achievement may offer subtly different pictures. This study applies multitrait-multimethod (MTMM) confirmatory factor analysis (CFA) within a structural…

  14. Choosing among Multiple Achievement Measures: Applying Multitrait--Multimethod Confirmatory Factor Analysis to State Assessment, ACT, and Student GPA Data

    Science.gov (United States)

    Dickinson, Emily R.; Adelson, Jill L.

    2016-01-01

    Practitioners and researchers interested in understanding student achievement, its predictors, and how it relates to other student outcomes are likely unaware of how the source information about achievement may offer subtly different pictures. This study applies multitrait-multimethod (MTMM) confirmatory factor analysis (CFA) within a structural…

  15. Emotional Intelligence and Nurse Recruitment: Rasch and confirmatory factor analysis of the trait emotional intelligence questionnaire short form.

    Science.gov (United States)

    Snowden, Austyn; Watson, Roger; Stenhouse, Rosie; Hale, Claire

    2015-12-01

    To examine the construct validity of the Trait Emotional Intelligence Questionnaire Short form. Emotional intelligence involves the identification and regulation of our own emotions and the emotions of others. It is therefore a potentially useful construct in the investigation of recruitment and retention in nursing and many questionnaires have been constructed to measure it. Secondary analysis of existing dataset of responses to Trait Emotional Intelligence Questionnaire Short form using concurrent application of Rasch analysis and confirmatory factor analysis. First year undergraduate nursing and computing students completed Trait Emotional Intelligence Questionnaire-Short Form in September 2013. Responses were analysed by synthesising results of Rasch analysis and confirmatory factor analysis. Participants (N = 938) completed Trait Emotional Intelligence Questionnaire Short form. Rasch analysis showed the majority of the Trait Emotional Intelligence Questionnaire-Short Form items made a unique contribution to the latent trait of emotional intelligence. Five items did not fit the model and differential item functioning (gender) accounted for this misfit. Confirmatory factor analysis revealed a four-factor structure consisting of: self-confidence, empathy, uncertainty and social connection. All five misfitting items from the Rasch analysis belonged to the 'social connection' factor. The concurrent use of Rasch and factor analysis allowed for novel interpretation of Trait Emotional Intelligence Questionnaire Short form. Much of the response variation in Trait Emotional Intelligence Questionnaire Short form can be accounted for by the social connection factor. Implications for practice are discussed. © 2015 John Wiley & Sons Ltd.

  16. The five-factor model of the Positive and Negative Syndrome Scale - I : Confirmatory factor analysis fails to confirm 25 published five-factor solutions

    NARCIS (Netherlands)

    van der Gaag, Mark; Cuijpers, Anke; Hoffman, Tonko; Remijsen, Mila; Hijman, Ron; de Haan, Lieuwe; van Meijel, Berno; van Harten, Peter N.; Valmaggia, Lucia; de Hert, Marc; Wiersma, Durk

    2006-01-01

    Objective: The aim of this study was to test the goodness-of-fit of all previously published five-factor models of the Positive and Negative Syndrome Scale (PANSS). Methods: We used confirmatory factor analysis (CFA) with a large data set (N = 5769). Results: The different subsamples were tested for

  17. Confirmatory factor analysis of the Malay version comprehensive feeding practices questionnaire tested among mothers of primary school children in Malaysia.

    Science.gov (United States)

    Shohaimi, Shamarina; Wei, Wong Yoke; Shariff, Zalilah Mohd

    2014-01-01

    Comprehensive feeding practices questionnaire (CFPQ) is an instrument specifically developed to evaluate parental feeding practices. It has been confirmed among children in America and applied to populations in France, Norway, and New Zealand. In order to extend the application of CFPQ, we conducted a factor structure validation of the translated version of CFPQ (CFPQ-M) using confirmatory factor analysis among mothers of primary school children (N = 397) in Malaysia. Several items were modified for cultural adaptation. Of 49 items, 39 items with loading factors >0.40 were retained in the final model. The confirmatory factor analysis revealed that the final model (twelve-factor model with 39 items and 2 error covariances) displayed the best fit for our sample (Chi-square = 1147; df = 634; P practices and related problems such as childhood obesity.

  18. Construct Validity of the Korean Dental Licensing Examination using Confirmatory Factor Analysis

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    Mi Kyoung Yim

    2005-06-01

    Full Text Available Confirmatory factor analysis based on a measurement model of a structural equation model was used to test the construct validity of 13 subjects in the Korean Dental Licensing Examination (KDLE. The results of 1,086 examinees who wrote the KDLE in 2004 were analyzed. The thirteen subjects were classified into 62 major categories and 122 intermediate categories. There were 364 items. A hierarchical model was constructed, including major and intermediate categories. The impact of the variables was determined by the standardized regression coefficient that related latent and measured variables in the measurement model. The KDLE showed a high goodness-of-fit with a root mean square error of approximation of 0.030 and a non-normed fit index of 0.998. When the latent variables for the major and intermediate categories were analyzed, the standardized regression coefficients of all of the subjects, with the exception of Health and Medical Legislation, were significant. From the result, we concluded that the 13 subjects showed constructive validity. In addition, the study model and data were very compatible. The subject Health and Medical Legislation had a low explanatory impact with respect to testing the ability of dentists to perform their jobs. This study suggests that similar psychometric studies are needed before integrating or deleting subjects on the KDLE, and to improve item development.

  19. Rasch modeling and confirmatory factor analysis of the systemizing quotient-revised (SQ-R) scale.

    Science.gov (United States)

    Allison, Carrie; Baron-Cohen, Simon; Stone, Mark H; Muncer, Steven J

    2015-01-01

    This study assessed the dimensionality of the Systemizing Quotient-Revised (SQ-R), a measure of how strong a person's interest is in systems, using two statistical approaches: Rasch modeling and Confirmatory Factor Analysis (CFA). Participants included N = 675 with an autism spectrum condition (ASC), N = 1369 family members of people with ASC, and N = 2014 typical controls. Data were applied to the Rasch model (Rating Scale) using WINSTEPS. The data fit the Rasch model quite well lending support to the idea that systemizing could be seen as unidimensional. Reliability estimates were .99 for items and .92 for persons. A CFA parceling approach confirmed that a unidimensional model fit the data. There was, however, differential functioning by sex in some of these items. An abbreviated 44-item version of the scale, consisting of items without differential item functioning by sex was developed. This shorter scale also was tested from a Rasch perspective and confirmed through CFA. All measures showed differences on total scale scores between those participants with and without ASC (d = 0.71, p < .005), and between sexes (d = 0.53, p < .005). We conclude that the SQ-R is an appropriate measure of systemizing which can be measured along a single dimension.

  20. Customers’ perceived value towards the service in Islamic banking: Confirmatory factor analysis

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    Suryani Suryani

    2015-08-01

    Full Text Available This study attempts to analyze the dimensionality of the concept of perceived value in Islamic banking sector, adapting to six dimensions of the GLOVAL scale and one additional dimension that is spiritual as measurement of perceived value to Islamic banking service sector. Design, methodology or approach is the total of 106 customers of financial entities surveyed, and confirmatory factor analysis was used to verify the reliability and validity of the scale of perceived value. It was found that perceived value is a multidimensional construct, composed of seven dimensions such as functional value of the establishment, functional value of the personnel, functional value of the service, functional value price, emotional value, social value, and spiritual value. The scale of overall perceived value in financial services was obtained, which was composed of seven dimensions and represented by 26 items that are significant for their measurement. It was also found that there are emotional and professionalism as dominant indicators in overall perceived value. It implies that a scale of measurement of the value is perceived by consumers in Islamic banking sector which incorporates valuations of customer value. The proposed model and study findings can greatly help researchers and practitioners understand the perceived value in Islamic Banking sector.

  1. Confirmatory Factor Analysis of the School-Based Assessment Evaluation Scale Among Teachers

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    Nor Hasnida Che Md. Ghazali

    2016-09-01

    Full Text Available The school-based assessment (SBA system is a holistic assessment system that is conducted in schools by subject teachers in assessing the students cognitive (intellect, affective (emotional and spiritual and psychomotor (physical aspects. It is in line with the National Philosophy of Education and the Standards-based School Curriculum in Malaysia. In order to evaluate the implementation of SBA, a measurement scale was validated. Questionnaire was used as an instrument for data collection. 776 primary and secondary school teachers were selected as respondents using stratified random sampling. The data was analyzed with SPSS and AMOS version 18. The aim of this paper was to explore different factor structures of the SBA evaluation scale by using the second-order Confirmatory Factor Analysis. Results indicated that the SBA evaluation model was a valid and reliable scale. The input measurement model was validated with two factors (personnel qualifications and physical infrastructure, process measurement model was validated with six factors (‘attitude’, ‘understanding’, ‘skills’, ‘challenges’, ‘moderation’ and ‘monitoring’ and product measurement model was validated with two factors (‘students’ attitude’ and ‘students’ motivation’. This study provides support for using a valid instrument in evaluating the implementation of SBA in schools. Furthermore, the CFA procedures used supported the conceptual framework set out earlier. Thus, it presents clearly the importance of the evaluation process of any education system to follow all the dimensions outlined in the evaluation model proposed by Daniel Stufflebeam.       Sistem Penilaian Berbasis Sekolah (SBA adalah sistem penilaian holistik yang dilakukan di sekolah-sekolah oleh guru mata pelajaran dalam menilai kognitif (kecerdasan, afektif (emosional dan spiritual dan psikomotorik (fisik siswa. Hal ini sejalan dengan Filsafat Pendidikan Nasional dan Kurikulum

  2. Measuring child maltreatment using multi-informant survey data: a higher-order confirmatory factor analysis

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    Giovanni A. Salum

    2016-03-01

    Full Text Available Objective To investigate the validity and reliability of a multi-informant approach to measuring child maltreatment (CM comprising seven questions assessing CM administered to children and their parents in a large community sample. Methods Our sample comprised 2,512 children aged 6 to 12 years and their parents. Child maltreatment (CM was assessed with three questions answered by the children and four answered by their parents, covering physical abuse, physical neglect, emotional abuse and sexual abuse. Confirmatory factor analysis was used to compare the fit indices of different models. Convergent and divergent validity were tested using parent-report and teacher-report scores on the Strengths and Difficulties Questionnaire. Discriminant validity was investigated using the Development and Well-Being Assessment to divide subjects into five diagnostic groups: typically developing controls (n = 1,880, fear disorders (n = 108, distress disorders (n = 76, attention deficit hyperactivity disorder (n = 143 and oppositional defiant disorder/conduct disorder (n = 56. Results A higher-order model with one higher-order factor (child maltreatment encompassing two lower-order factors (child report and parent report exhibited the best fit to the data and this model's reliability results were acceptable. As expected, child maltreatment was positively associated with measures of psychopathology and negatively associated with prosocial measures. All diagnostic category groups had higher levels of overall child maltreatment than typically developing children. Conclusions We found evidence for the validity and reliability of this brief measure of child maltreatment using data from a large survey combining information from parents and their children.

  3. Confirmatory factor analysis of the Maslach Burnout Inventory among Florida nurses.

    Science.gov (United States)

    Beckstead, Jason W

    2002-11-01

    Burnout among human service professionals, such as nurses, has been studied in various countries for years using the Maslach Burnout Inventory (MBI). This paper reports on confirmatory factor analyses using LISREL that examined the factorial validity of the MBI. The sample consisted of 151 registered nurses from west-central Florida. Modifications of the initial hypothesized three-factor structure were necessary to adequately fit the data. Findings are compared to the published normative values for the MBI and to similar studies of European nurses. Recommendations for measurement models of the MBI in future studies that use structural equation modeling techniques are offered.

  4. Validation and cross-national comparison of the food neophobia scale (FNS) using confirmatory factor analysis.

    Science.gov (United States)

    Ritchey, Phillip N; Frank, Robert A; Hursti, Ulla-Kaisa; Tuorila, Hely

    2003-04-01

    The food neophobia scale [FNS; Appetite 19 (1992) 105] has been used to assess willingness to try new foods in studies conducted around the world. Although it is tempting to compare FNS scores across these studies, appropriate psychometric analyses are required to validate the scale and allow cross-cultural comparisons. These analyses were pursued in the current study using confirmatory factor analysis in conjunction with a data analysis strategy described by Steenkamp and Baumgartner [J. Consumer Res. 25 (1998) 78] and random, representative samples drawn from the United States, Sweden and Finland. A unidimensional scale was constructed using eight of the original 10 items from the FNS, and this model provided an excellent fit to the data from the US and Swedish samples. An acceptable fit was achieved for six items when data from the US, Sweden and Finland were used. Based on these analyses, we recommend that two items from the original FNS be dropped (items 5 and 9). Elimination of additional items may be premature given the potential contributions of difference in sampling and testing methodology associated with data collection from the three samples. Future efforts to develop a FNS for cross-national comparisons should target the development of a scale with 14-16 items so that dropping several items from a model (due to translation or other problems) allows retention of a sufficient number of items to insure a robust test. However, even with only six items, our results supported the conclusion that people from Sweden are generally more willing to try novel foods as compared to people from the US and Finland. Future studies should focus on the source of this enhanced willingness to try novel foods among the Swedes and the potential use of this information in the development of programs aimed at facilitating dietary change.

  5. Cross-validation of the reduced form of the Food Craving Questionnaire-Trait using confirmatory factor analysis

    OpenAIRE

    Luca eIani

    2015-01-01

    Objective: The Food Craving Questionnaire-Trait (FCQ-T) is commonly used to assess habitual food cravings among individuals. Previous studies have shown that a brief version of this instrument (FCQ-T-r) has good reliability and validity. This article is the first to use Confirmatory factor analysis to examine the psychometric properties of the FCQ-T-r in a cross-validation study. Method: Habitual food cravings, as well as emotion regulation strategies, affective states, and disordered eati...

  6. The chronic pain coping inventory: Confirmatory factor analysis of the French version

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    Côté Denis

    2006-02-01

    Full Text Available Abstract Background Coping strategies are among the psychosocial factors hypothesized to contribute to the development of chronic musculoskeletal disability. The Chronic Pain Coping Inventory (CPCI was developed to assess eight behavioral coping strategies targeted in multidisciplinary pain treatment (Guarding, Resting, Asking for Assistance, Task Persistence, Relaxation, Exercise/Stretch, Coping Self-Statements and Seeking Social Support. The present study had two objectives. First, it aimed at measuring the internal consistency and the construct validity of the French version of the CPCI. Second, it aimed to verify if, as suggested by the CPCI authors, the scales of this instrument can be grouped according to the following coping families: Illness-focused coping and Wellness-focused coping. Method The CPCI was translated into French with the forward and backward translation procedure. To evaluate internal consistency, Cronbach's alphas were computed. Construct validity of the inventory was estimated through confirmatory factor analysis (CFA in two samples: a group of 439 Quebecois workers on sick leave in the sub-acute stage of low back pain (less than 84 days after the work accident and a group of 388 French chronic pain patients seen in a pain clinic. A CFA was also performed to evaluate if the CPCI scales were grouped into two coping families (i.e. Wellness-focused and Illness-focused coping. Results The French version of the CPCI had adequate internal consistency in both samples. The CFA confirmed the eight-scale structure of the CPCI. A series of second-order CFA confirmed the composition of the Illness-focused family of coping (Guarding, Resting and Asking for Assistance. However, the composition of the Wellness-focused family of coping (Relaxation, Exercise/Stretch, Coping Self-Statements and Seeking Social Support was different than the one proposed by the authors of the CPCI. Also, a positive correlation was observed between Illness

  7. Confirmatory factor analysis of the Appraisal of Self-Care Agency Scale - Revised 1

    Science.gov (United States)

    Stacciarini, Thaís Santos Guerra; Pace, Ana Emilia

    2017-01-01

    ABSTRACT Objective: to analyze the factor structure of the Appraisal of Self-Care Agency Scale-Revised (ASAS-R), adapted for Brazil. Method: methodological study conducted with 150 individuals with diabetes mellitus cared for by the Family Health Strategy, most of whom are elderly with low educational levels. The test of the hypothesis concerning the confirmatory factor composition of the ASAS-R was performed using latent variables structural equations. Results: the model’s goodness-of-fit indexes were satisfactory (χ2 = 259.19; χ2/g.l = 2.97, p < 0.001; GFI = 0.85; RMR = 0.07; RMSEA = 0.09); the factor loads were greater than 0.40; and most item-to-factor-correlations presented moderate to strong magnitude (0.34 to 0.58); total alpha value was 0.74, while the alpha of the three factors were 0.69, 0.38 and 0.69, respectively. Conclusion: the scale’s factor structure presented satisfactory validity and reliability results, with the exception of one factor. Application of this scale to samples of the general population is desirable in order to strengthen analyses of internal consistency and the dimensionality of the factor structure. This study is expected to contribute to further studies addressing the self-care agency construct and the development of the ASAS-R. PMID:28146182

  8. Confirmatory factor analysis of the Multi-dimensional Emotional Empathy Scale in the South African context

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    Chantal Olckers

    2010-03-01

    Full Text Available Orientation: Empathy is a core competency in aiding individuals to address the challenges of social living. An indicator of emotional intelligence, it is useful in a globalising and cosmopolitan world. Moreover, managing staff, stakeholders and conflict in many social settings relies on communicative skills, of which empathy forms a large part. Empathy plays a pivotal role in negotiating, persuading and influencing behaviour. The skill of being able to empathise thus enables the possessor to attune to the needs of clients and employees and provides opportunities to become responsive to these needs.Research purpose: This study attempted to determine the construct validity of the Multi-dimensional Emotional Empathy Scale within the South African context.Motivation for the study: In South Africa, a large number of psychometrical instruments have been adopted directly from abroad. Studies determining the construct validity of several of these imported instruments, however, have shown that these instruments are not suited for use in the South African context.Research design, approach and method: The study was based on a quantitative research method with a survey design. A convenience sample of 212 respondents completed the Multi-dimensional Emotional Empathy Scale. The constructs explored were Suffering, Positive Sharing, Responsive Crying, Emotional Attention, a Feel for Others and Emotional Contagion. The statistical procedure used was a confirmatory factor analysis.Main findings: The study showed that, from a South African perspective, the Multi-dimensional Emotional Empathy Scale lacks sufficient construct validity.Practical/managerial implications: Further refinement of the model would provide valuable information that would aid people to be more appreciative of individual contributions, to meet client needs and to understand the motivations of others.Contribution/value-add: From a South African perspective, the findings of this study are

  9. Confirmatory factor analysis of the Questionnaire on the Health Staff's Perceptions Regarding Doutores da Alegria's Interventions.

    Science.gov (United States)

    Masetti, Morgana; Caires, Susana; Brandão, Daniel; Vieira, Diana Aguiar

    2016-06-09

    A confirmatory analysis was performed to validate the Questionnaire on the Health Staff's Perceptions Regarding Doutores da Alegria's Intervention, a 40-item instrument designed to assess pediatric staff's perceptions regarding the effects of Doutores da Alegria, a Brazilian hospital clowning professional organization. Eight dimensions were evaluated: the permanence of Doutores da Alegria's interventions; Doutores da Alegria's intrapersonal and interpersonal effects on their relation to health staff; themselves; staff-children; and staff-family relationships; as well as their effect on staff's cultural development; children's relation to their own disease; and families' attitude regarding their child's condition. In all, 567 health professionals from 13 Brazilian hospitals participated. The instrument's good psychometric features are acknowledged.

  10. Physics Metacognition Inventory Part Ii: Confirmatory Factor Analysis and Rasch Analysis

    Science.gov (United States)

    Taasoobshirazi, Gita; Bailey, MarLynn; Farley, John

    2015-01-01

    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,…

  11. Physics Metacognition Inventory Part Ii: Confirmatory Factor Analysis and Rasch Analysis

    Science.gov (United States)

    Taasoobshirazi, Gita; Bailey, MarLynn; Farley, John

    2015-01-01

    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,…

  12. Exploring self-criticism: confirmatory factor analysis of the FSCRS in clinical and nonclinical samples.

    Science.gov (United States)

    Castilho, Paula; Pinto-Gouveia, José; Duarte, Joana

    2015-01-01

    The Forms of Self-criticizing/Attacking and Self-reassuring Scale (FSCRS) is a self-report questionnaire that assesses the forms of self-criticism and self-reassurance. The aim of this study was to explore the latent structure of the FSCRS in nonclinical and clinical samples. Data from 381 participants from the general population and from 304 participants from clinical settings were subjected to confirmatory factor analyses to explore several structural models reflecting alternative representations of the FSCRS dimensionality. Overall, the model with the best fit to the data, in both samples, was the three-factor model (inadequate self, hated self and reassured self subscales) replicating the FSCRS original structure. The scale showed good psychometric characteristics, and the three factors discriminated between the clinical and nonclinical samples. To our knowledge, this is the first study to confirm the factor structure of the FSCRS in a purely clinical sample, and to test alternative models. This study adds to the existent literature that has been supporting the conceptualization of self-criticism as a multidimensional construct. Given the good psychometric properties of the Portuguese version of the FSCRS, its use is encouraged and recommended for the assessment of self-criticism in both clinical and research settings.

  13. Confirmatory factor analysis of the Sport Emotion Questionnaire in organisational environments.

    Science.gov (United States)

    Arnold, Rachel; Fletcher, David

    2015-01-01

    The Sport Emotion Questionnaire (SEQ) (Jones, M. V., Lane, A. M., Bray, S. R., Uphill, M., & Catlin, J. (2005). Development and validation of the SEQ. Journal of Sport and Exercise Psychology, 27, 407-431) was developed and initially validated to assess sport performers' pre-competitive emotions. The purpose of this study was to test the factor structure of the SEQ in a different environment (viz. organisational) and at a different time point (viz. the past month). A further aim was to examine if the SEQ was invariant across different groups of sport performers. A diverse sample of athletes (n = 1277) completed the questionnaire. Fit indices from confirmatory factor analyses provided partial support for the hypothesised measurement model, with equal or better fit demonstrated than evident in initial validation. The comparative fit index values were above acceptable guidelines for all factors at subscale level. Evidence was also found for the invariance of the SEQ across different groups. Overall, the findings support the reliability and validity of the SEQ as a measure of the emotions experienced by sport performers in an organisational environment during the past month.

  14. Measuring the intrapersonal component of psychological empowerment: confirmatory factor analysis of the sociopolitical control scale.

    Science.gov (United States)

    Peterson, N Andrew; Lowe, John B; Hughey, Joseph; Reid, Robert J; Zimmerman, Marc A; Speer, Paul W

    2006-12-01

    The Sociopolitical Control Scale (SPCS) is a widely used measure of the intrapersonal component of psychological empowerment. Confirmatory factor analyses (CFA) were conducted with data from two samples to test the hypothesized structure of the SPCS, the potential effects of method bias on the measure's psychometric properties, and whether a revised version of the scale (SPCS-R) yielded improved model fit. Sample 1 included 316 randomly selected community residents of the Midwestern United States. Sample 2 included 750 community residents of the Northeastern U.S. Results indicated that method bias from the use of negatively worded items had a significant effect on the factor structure of the SPCS. CFA of the SPCS-R, in which negatively worded items were rephrased so that all statements were positively worded, supported the measure's hypothesized two-factor structure (i.e., leadership competence and policy control). Subscales of the SPCS-R were found reliable and related in expected ways with measures of community involvement. Implications of the study for empowerment-based research and practice are described, and strategies to further develop the SPCS are discussed.

  15. Confirmatory Factor Analysis of the Malay Version Comprehensive Feeding Practices Questionnaire Tested among Mothers of Primary School Children in Malaysia

    Directory of Open Access Journals (Sweden)

    Shamarina Shohaimi

    2014-01-01

    Full Text Available Comprehensive feeding practices questionnaire (CFPQ is an instrument specifically developed to evaluate parental feeding practices. It has been confirmed among children in America and applied to populations in France, Norway, and New Zealand. In order to extend the application of CFPQ, we conducted a factor structure validation of the translated version of CFPQ (CFPQ-M using confirmatory factor analysis among mothers of primary school children (N = 397 in Malaysia. Several items were modified for cultural adaptation. Of 49 items, 39 items with loading factors >0.40 were retained in the final model. The confirmatory factor analysis revealed that the final model (twelve-factor model with 39 items and 2 error covariances displayed the best fit for our sample (Chi-square = 1147; df = 634; P<0.05; CFI = 0.900; RMSEA = 0.045; SRMR = 0.0058. The instrument with some modifications was confirmed among mothers of school children in Malaysia. The present study extends the usability of the CFPQ and enables researchers and parents to better understand the relationships between parental feeding practices and related problems such as childhood obesity.

  16. Confirmatory factor analysis of the Adult Asperger Assessment: the association of symptom domains within a clinical population.

    Science.gov (United States)

    Kuenssberg, Renate; McKenzie, Karen

    2011-01-01

    Autism Spectrum Disorder (ASD) is a behaviourally defined disorder characterised by impairments in three domains of social interaction, communication, and repetitive, stereotyped behaviours and activities. Proposed changes to diagnostic criteria suggest that the diagnostic triad may no longer fit as the best way to conceptualise ASD, and that social and communication impairments should be considered as a single domain. The aim of this study was to examine the structure of symptom domains within the Adult Asperger Assessment (AAA; Baron-Cohen, Wheelwright, Robinson, & Woodbury-Smith, 2005), a diagnostic tool for high functioning adults. As theoretical models already exist, confirmatory factor analysis was used to examine data from a clinical population of adults (n = 153) diagnosed with Asperger Syndrome (AS) and High Functioning Autism (HFA). Confirmatory factor analysis was used to fit different models based on the structure proposed by the authors of the AAA, the traditional triad and the newly proposed diagnostic dyad. Analysis suggested that none of the tested models were a good fit on the AAA dataset. However, it did highlight very high correlations between social and communication factors (r > 0.9) within unmodified models. The results of the analysis provide tentative support for the move towards considering ASD as a dyad of 'social-communication' impairments and repetitive/restricted interests behaviours and activities, rather than the traditional triad. Copyright © 2011 Elsevier Ltd. All rights reserved.

  17. A Multi-Sample Confirmatory Factor Analysis of PTSD Symptoms: What Exactly Is Wrong with the DSM-IV Structure?

    Science.gov (United States)

    Marshall, Grant N.; Schell, Terry L.; Miles, Jeremy N. V.

    2013-01-01

    Within the DSM-IV, PTSD symptoms are rationally classified as assessing one of three symptom domains: reexperiencing, avoidance/numbing, or hyperarousal. However, two alternative four-factor models have been advocated as superior to the DSM-IV framework, based on confirmatory factor analysis. In the Numbing model, symptoms of emotional numbing are differentiated from avoidance. In the Dysphoria model, several symptoms of numbing and hyperarousal are combined to form a factor purported to assess general psychological distress. Examination of these models, within 29 separate data sets, supports two conclusions. First, contrary to its conceptual underpinnings, the Dysphoria model differs empirically from the Numbing model solely in the correlation predicted between two hyperarousal symptoms; all other predicted correlations made by the two models are substantively identical. Second, when the factor analytic presumption of simple structure is relaxed to allow for potential presentation order effects, other plausible symptom structures emerge. In particular, the fit of the DSM-IV model improved dramatically and was a better fit to the data than either four-factor model. The ostensible inferiority of the DSM-IV model may be due to a methodological artifact stemming from the order in which symptoms are typically assessed. The provisional decision to revise the structure of PTSD symptoms in the DSM-5 in light of confirmatory factor analytic results may be misguided. PMID:23128035

  18. Concepts of Confidence in Tendency Survey Research: An Assessment with Multi-group Confirmatory Factor Analysis.

    Science.gov (United States)

    Białowolski, Piotr

    In this paper, we investigate the link between the formal definition of confidence in tendency surveys and its measurement. We advocate for the use of reflective measures in an assessment of the confidence level in both consumer and industrial indicators. Based on the data from Poland's tendency survey research, we use a multi-group confirmatory factor analytical approach to demonstrate that the set of indicators proposed by the European Commission methodology that is currently used might be not appropriate to measure the concept of confidence consistently, both within and between periods. The conclusion is true for the confidence indicator in the area of consumer tendency surveys and for the tendency survey in the manufacturing industry. We search for possible amendments that help either to find the sources of instability for the indicators proposed by the guidelines of the European Commission or to select a different set of indicators for the concept of confidence. However, we determine that the differences between the newly proposed indicator that describe industrial confidence and the indicators based on the European Commission methodology are small in terms of correlations and predictive validity.

  19. Confirmatory Factor Analysis of the Combined Social Phobia Scale and Social Interaction Anxiety Scale: Support for a Bifactor Model

    Science.gov (United States)

    Gomez, Rapson; Watson, Shaun D.

    2017-01-01

    For the Social Phobia Scale (SPS) and the Social Interaction Anxiety Scale (SIAS) together, this study examined support for a bifactor model, and also the internal consistency reliability and external validity of the factors in this model. Participants (N = 526) were adults from the general community who completed the SPS and SIAS. Confirmatory factor analysis (CFA) of their ratings indicated good support for the bifactor model. For this model, the loadings for all but six items were higher on the general factor than the specific factors. The three positively worded items had negligible loadings on the general factor. The general factor explained most of the common variance in the SPS and SIAS, and demonstrated good model-based internal consistency reliability (omega hierarchical) and a strong association with fear of negative evaluation and extraversion. The practical implications of the findings for the utilization of the SPS and SIAS, and the theoretical and clinical implications for social anxiety are discussed. PMID:28210232

  20. Confirmatory factor analysis and reliability of the Chinese version of the Maslach Burnout Inventory among guidance teachers in Hong Kong.

    Science.gov (United States)

    Yuen, Mantak; Lau, Patrick S Y; Shek, Daniel T L; Lam, Man-Ping

    2002-12-01

    In 1995 Chan and Hui examined the responses of a sample of Chinese teachers on the Maslach Burnout Inventory and recommended a possible 2-factor rather than the original 3-factor model for the assessment of burnout among Chinese teachers. In the present study, the factor structure of responses to the Chinese version of the Maslach Burnout Inventory in a sample of 1,398 Chinese secondary school guidance teachers was examined using the EQS approach to confirmatory factor analysis. The results showed that a 3-factor model (Emotional Exhaustion, Depersonalization, and Personal Accomplishment) provided the best fit, with the first two factors highly correlated (r = .80). Internal consistencies for the subscales ranged from .80 to .88.

  1. Confirmatory Factor Analysis of the Combined Social Phobia Scale and Social Interaction Anxiety Scale: Support for a Bifactor Model.

    Science.gov (United States)

    Gomez, Rapson; Watson, Shaun D

    2017-01-01

    For the Social Phobia Scale (SPS) and the Social Interaction Anxiety Scale (SIAS) together, this study examined support for a bifactor model, and also the internal consistency reliability and external validity of the factors in this model. Participants (N = 526) were adults from the general community who completed the SPS and SIAS. Confirmatory factor analysis (CFA) of their ratings indicated good support for the bifactor model. For this model, the loadings for all but six items were higher on the general factor than the specific factors. The three positively worded items had negligible loadings on the general factor. The general factor explained most of the common variance in the SPS and SIAS, and demonstrated good model-based internal consistency reliability (omega hierarchical) and a strong association with fear of negative evaluation and extraversion. The practical implications of the findings for the utilization of the SPS and SIAS, and the theoretical and clinical implications for social anxiety are discussed.

  2. Confirmatory factor analysis of the Appraisal of Self-Care Agency Scale - Revised.

    Science.gov (United States)

    Stacciarini, Thaís Santos Guerra; Pace, Ana Emilia

    2017-01-30

    to analyze the factor structure of the Appraisal of Self-Care Agency Scale-Revised (ASAS-R), adapted for Brazil. methodological study conducted with 150 individuals with diabetes mellitus cared for by the Family Health Strategy, most of whom are elderly with low educational levels. The test of the hypothesis concerning the confirmatory factor composition of the ASAS-R was performed using latent variables structural equations. the model's goodness-of-fit indexes were satisfactory (χ2 = 259.19; χ2/g.l = 2.97, p pesquisas que trabalham com o construto de capacidade de autocuidado e no desenvolvimento da Escala ASAS-R. analizar la estructura factorial de la escala de evaluación de la capacidad de autocuidado, Appraisal of Self Care Agency Scale-Revised (ASAS-R), adaptada en Brasil. estudio metodológico conducido en 150 usuarios con diabetes mellitus, mayoría de ancianos y con baja escolaridad, acompañados por la Estrategia Salud de la Familia. El test de hipótesis de la composición factorial confirmatoria de la escala ASAS-R fue realizado por medio del modelo de ecuaciones estructurales para variables latentes. los valores de los índices de ajuste del modelo fueron satisfactorios (χ2 de 259,19; χ2/g.l de 2,97, p < 0,001; GFI = 0,85; RMR = 0,07; RMSEA = 0,09), las cargas factoriales fueron superiores a 0,40, la mayoría de las correlaciones ítem y factor varió de moderada a fuerte magnitud (0,34 la 0,58); valores de alfa total de 0,74 y de los tres factores de 0,69, 0,38 y 0,69, respectivamente. la estructura factorial de la escala obtuvo resultados satisfactorios de validez y de confiabilidad, excepto uno de sus factores. Es deseable que esa escala sea aplicada en muestras de la población general, para fortalecer los análisis de consistencia interna y de dimensionalidad de la estructura factorial; y se espera que este estudio pueda contribuir para avanzar en nuevas investigaciones que vengan a trabajar con el constructo de capacidad de autocuidado y con

  3. A Monte Carlo study comparing PIV, ULS and DWLS in the estimation of dichotomous confirmatory factor analysis.

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    Nestler, Steffen

    2013-02-01

    We conducted a Monte Carlo study to investigate the performance of the polychoric instrumental variable estimator (PIV) in comparison to unweighted least squares (ULS) and diagonally weighted least squares (DWLS) in the estimation of a confirmatory factor analysis model with dichotomous indicators. The simulation involved 144 conditions (1,000 replications per condition) that were defined by a combination of (a) two types of latent factor models, (b) four sample sizes (100, 250, 500, 1,000), (c) three factor loadings (low, moderate, strong), (d) three levels of non-normality (normal, moderately, and extremely non-normal), and (e) whether the factor model was correctly specified or misspecified. The results showed that when the model was correctly specified, PIV produced estimates that were as accurate as ULS and DWLS. Furthermore, the simulation showed that PIV was more robust to structural misspecifications than ULS and DWLS.

  4. Confirmatory Factor Analysis of IT-based Competency Questionnaire in Information Science & Knowledge Studies, Based on Job Market Analysis

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    Rahim Shahbazi

    2016-03-01

    Full Text Available The main purpose of the present research is to evaluate the validity of an IT-based competency questionnaire in Information Science & Knowledge Studies. The Survey method has been used in the present research. A data collection tool has been a researcher-made questionnaire. Statistic samples, which are 315 people, have been chosen purposefully from among Iranian faculty members, Ph.D. students, and information center employees. The findings showed that by eliminating 17 items from the whole questionnaire and Confirmatory Factor Analysis of the rest and rotating findings using the Varimax method, 8 Factors were revealed. The resulting components and also the items which had a high load factor with these components were considerably consistent with the classifications in the questionnaire and partly consistent with the findings of other researchers. 76 competency indicators (knowledge, skills, and attitudes were validated and grouped under 8 main categories: 1. “Computer Basics” 2. “Database Operating, Collection Development of Digital Resources, & Digital Library Management” 3. “Basics of Computer Networking” 4. “Basics of Programming & Database Designing” 5. “Web Designing & Web Content Analysis” 6. “Library Software & Computerized Organizing” 7. Archive of Digital Resources and 8. Attitudes.

  5. Dimensionality and reliability of the self-care of heart failure index scales: further evidence from confirmatory factor analysis.

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    Barbaranelli, Claudio; Lee, Christopher S; Vellone, Ercole; Riegel, Barbara

    2014-12-01

    The Self-Care of Heart Failure Index (SCHFI) is used widely, but issues with reliability have been evident. Cronbach alpha coefficient is usually used to assess reliability, but this approach assumes a unidimensional scale. The purpose of this article is to address the dimensionality and internal consistency reliability of the SCHFI. This was a secondary analysis of data from 629 adults with heart failure enrolled in three separate studies conducted in the northeastern and northwestern United States. Following testing for scale dimensionality using confirmatory factor analysis, reliability was tested using coefficient alpha and alternative options. Confirmatory factor analysis demonstrated that: (a) the Self-Care Maintenance Scale has a multidimensional four-factor structure; (b) the Self-Care Management Scale has a two-factor structure, but the primary factors loaded on a common higher-order factor; and (c) the Self-Care Confidence Scale is unidimensional. Reliability estimates for the three scales, obtained with methods compatible with each scale's dimensionality, were adequate or high. The results of the analysis demonstrate that issues of dimensionality and reliability cannot be separated. Appropriate estimates of reliability that are consistent with the dimensionality of the scale must be used. In the case of the SCHFI, coefficient alpha should not be used to assess reliability of the self-care maintenance and the self-care management scales, due to their multidimensionality. When performing psychometric evaluations, we recommend testing dimensionality before assessing reliability, as well using multiple indices of reliability, such as model-based internal consistency, composite reliability, and omega and maximal reliability coefficients. © 2014 Wiley Periodicals, Inc.

  6. Cross-validation of the reduced form of the Food Craving Questionnaire-Trait using confirmatory factor analysis

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    Luca eIani

    2015-04-01

    Full Text Available Objective: The Food Craving Questionnaire-Trait (FCQ-T is commonly used to assess habitual food cravings among individuals. Previous studies have shown that a brief version of this instrument (FCQ-T-r has good reliability and validity. This article is the first to use Confirmatory factor analysis to examine the psychometric properties of the FCQ-T-r in a cross-validation study.Method: Habitual food cravings, as well as emotion regulation strategies, affective states and disordered eating behaviors, were investigated in two independent samples of non-clinical adult volunteers (Sample 1: N = 368; Sample 2: N = 246. Confirmatory factor analyses were conducted to simultaneously test model fit statistics and dimensionality of the instrument. FCQ-T-r reliability was assessed by computing the composite reliability coefficient. Results: Analysis supported the unidimensional structure of the scale and fit indices were acceptable for both samples. The FCQ-T-r showed excellent reliability and moderate to high correlations with negative affect and disordered eating. Conclusions: Our results indicate that the FCQ-T-r scores can be reliably used to assess habitual cravings in an Italian non-clinical sample of adults. The robustness of these results is tested by a cross-validation of the model using two independent samples. Further research is required to expand on these findings, particularly in children and adolescents.

  7. Differences in the haematological profile of healthy 70 year old men and women: normal ranges with confirmatory factor analysis

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    Taylor Michelle

    2010-06-01

    Full Text Available Abstract Background Reference ranges are available for different blood cell counts. These ranges treat each cell type independently and do not consider possible correlations between cell types. Methods Participants were identified from the Community Health Index as survivors of the 1947 Scottish Mental Survey, all born in 1936, who were resident in Lothian (potential n = 3,810 and invited to participate in the study. Those who consented were invited to attend a Clinical Research Facility where, amongst other assessments, blood was taken for full blood count. First we described cell count data and bivariate correlations. Next we performed principal components analysis to identify common factors. Finally we performed confirmatory factor analysis to evaluate suitable models explaining relationships between cell counts in men and women. Results We examined blood cell counts in 1027 community-resident people with mean age 69.5 (range 67.6-71.3 years. We determined normal ranges for each cell type using Q-Q plots which showed that these ranges were significantly different between men and women for all cell types except basophils. We identified three principal components explaining around 60% of total variance of cell counts. Varimax rotation indicated that these could be considered as erythropoietic, leukopoietic and thrombopoietic factors. We showed that these factors were distinct for men and women by confirmatory factor analysis: in men neutrophil count was part of a 'thrombopoietic' trait whereas for women it was part of a 'leukopoietic' trait. Conclusions First, normal ranges for haematological indices should be sex-specific; at present this only pertains to those associated with erythrocytes. Second, differences between individuals across a range of blood cell counts can be explained to a considerable extent by three major components, but these components are not the same in men and women.

  8. A confirmatory factor analysis of the metabolic syndrome in adolescents: an examination of sex and racial/ethnic differences

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    Gurka Matthew J

    2012-10-01

    Full Text Available Abstract Objective The metabolic syndrome (MetS is a cluster of clinical indices that signals increased risk for cardiovascular disease and Type 2 diabetes. The diagnosis of MetS is typically based on cut-off points for various components, e.g. waist circumference and blood pressure. Because current MetS criteria result in racial/ethnic discrepancies, our goal was to use confirmatory factor analysis to delineate differential contributions to MetS by sub-group. Research Design and Methods Using 1999–2010 data from the National Health and Nutrition Examination Survey (NHANES, we performed a confirmatory factor analysis of a single MetS factor that allowed differential loadings across sex and race/ethnicity, resulting in a continuous MetS risk score that is sex and race/ethnicity-specific. Results Loadings to the MetS score differed by racial/ethnic and gender subgroup with respect to triglycerides and HDL-cholesterol. ROC-curve analysis revealed high area-under-the-curve concordance with MetS by traditional criteria (0.96, and with elevations in MetS-associated risk markers, including high-sensitivity C-reactive protein (0.71, uric acid (0.75 and fasting insulin (0.82. Using a cut off for this score derived from ROC-curve analysis, the MetS risk score exhibited increased sensitivity for predicting elevations in ≥2 of these risk markers as compared with traditional pediatric MetS criteria. Conclusions The equations from this sex- and race/ethnicity-specific analysis provide a clinically-accessible and interpretable continuous measure of MetS that can be used to identify children at higher risk for developing adult diseases related to MetS, who could then be targeted for intervention. These equations also provide a powerful new outcome for use in childhood obesity and MetS research.

  9. IDENTIFICATION OF MEASUREMENT ITEMS OF DESIGN REQUIREMENTS FOR LEAN AND AGILE SUPPLY CHAIN-CONFIRMATORY FACTOR ANALYSIS

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    D.Venkata Ramana

    2013-06-01

    Full Text Available This study examines the consistency approaches by confirmatory factor analysis that determines the construct validity, convergent validity, construct reliability and internal consistency of the items of strategic design requirements. The design requirements includes use of information technology, sourcing procedures, new product development, flexible manufacturing functions and demand management supply chain net work design, management, commitment and inventory management policies among manufacturers of volatile and unforeseeable products in Andhraadesh, India. This study suggested that the seven factor model with 20 items of the leagile supply chain design requirements had a good fit. Further, the study showed a val id and reliable measurement to identify critical items among the design requirements of leagile supply chains.

  10. Confirmatory factor analysis of the Child Feeding Questionnaire among low-income African American families of preschool children.

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    Boles, Richard E; Nelson, Timothy D; Chamberlin, Leigh A; Valenzuela, Jessica M; Sherman, Susan N; Johnson, Susan L; Powers, Scott W

    2010-04-01

    This study examined the factor structure for three of the Child Feeding Questionnaire (CFQ) subscales, a widely used measure of parental feeding practices, among 296 low-income parents of African American preschool children. Confirmatory factor analysis showed an overall poor fit among CFQ subscales; Restriction, Pressure to Eat, and Concern about Child Weight, (chi(2), (df=87=300.249, CFI=1.00, NNFI=1.07, RMSEA=.091). Additionally, Cronbach's Alpha coefficients for 2 of the three subscales were below acceptable recommendations (Restriction=0.69; Pressure to Eat=0.58). These results suggest further psychometric clarification is needed to understand commonly reported feeding practice constructs among low-income African American mothers of preschool aged children.

  11. Validation of the Adolescent Concerns Measure (ACM): Evidence from Exploratory and Confirmatory Factor Analysis

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    Ang, Rebecca P.; Chong, Wan Har; Huan, Vivien S.; Yeo, Lay See

    2007-01-01

    This article reports the development and initial validation of scores obtained from the Adolescent Concerns Measure (ACM), a scale which assesses concerns of Asian adolescent students. In Study 1, findings from exploratory factor analysis using 619 adolescents suggested a 24-item scale with four correlated factors--Family Concerns (9 items), Peer…

  12. Confirmatory Factor Analysis of the Dutch Version of the Wechsler Memory Scale-Fourth Edition (WMS-IV-NL)

    NARCIS (Netherlands)

    Bouman, Z.; Hendriks, M.P.; Kerkmeer, M.C.; Kessels, R.P.C.; Aldenkamp, A.P.

    2015-01-01

    The latent factor structure of the Dutch version of the Wechsler Memory Scale-Fourth Edition (WMS-IV-NL) was examined with a series of confirmatory factor analyses. As part of the Dutch standardization, 1,188 healthy participants completed the WMS-IV-NL. Four models were tested for the Adult Battery

  13. Confirmatory factor analysis of the Dutch version of the Wechsler Memory Scale-Fourth Edition (WMS-IV-NL)

    NARCIS (Netherlands)

    Bouman, Z.; Hendriks, M.P.H.; Kerkmeer, M.; Kessels, R.P.C.; Aldenkamp, A.P.

    2015-01-01

    The latent factor structure of the Dutch version of the Wechsler Memory Scale-Fourth Edition (WMS-IV-NL) was examined with a series of confirmatory factor analyses. As part of the Dutch standardization, 1,188 healthy participants completed the WMS-IV-NL. Four models were tested for the Adult Battery

  14. Confirmatory factor analysis, latent profile analysis, and factor mixture modeling of the syndromes of the Child Behavior Checklist and Teacher Report Form.

    Science.gov (United States)

    Gomez, Rapson; Vance, Alasdair

    2014-12-01

    The current study used confirmatory factor analysis (CFA), latent profile analysis (LPA), and factor mixture modeling (FMM) to examine the co-occurrence of the childhood syndromes using the Child Behavior Checklist (CBCL) and Teacher Report Form (TRF). Parents and teachers completed the CBCL and TRF, respectively, for a clinic-referred sample of 720 children, ages 7-12 years. For the CBCL, the analyses indicated most support a 2-class 2-factor FMM, and for the TRF, there was most support for a 2-class 3-factor model. The classes were all syndromes at average levels and all syndromes at high levels. The findings indicate high syndrome co-occurrence. The implications of the findings for understanding syndrome co-occurrence in the CBCL and TRF, theories of syndrome co-occurrence, and the clinical use of the CBCL and TRF are discussed. (c) 2014 APA, all rights reserved.

  15. A confirmatory factor analysis of the WAIS-III in a clinical sample with crossvalidation in the standardization sample.

    Science.gov (United States)

    Burton, D Bradley; Ryan, Joseph J; Axelrod, Bradley N; Schellenberger, Tony

    2002-05-01

    A maximum likelihood confirmatory factor analysis of the Wechsler Adult Intelligence Scale-III (WAIS-III) was performed by applying LISREL 8 to a clinical sample (n=328). Analyses were designed to determine which of the nine hypothesized oblique factor solutions could best explain intelligence as measured by the WAIS-III in the general clinical sample. Competing latent variable models were identified in previous studies and a priori model modifications were made to test derivations of the nine base models. Results in the clinical sample were crossvalidated by testing all models in the normative sample used in the standardization of the scale. Findings in both the clinical and standardization samples supported a six-factor model including Semantic Memory, Verbal Reasoning, Constructional Praxis, Visual Reasoning, Working Memory, and Processing Speed factors. Our analysis differed from that presented in the WAIS-III manual as we tested more complex models of intelligence in addition to the ones evaluated by the test publishers. As a result, a six-factor model that corresponded to an expanded version of a model based on Horn's Gf-Gc theory was empirically supported as having the best fit to the data. More complex derivations of this model failed to achieve sufficient goodness of fit.

  16. Confirmatory factor analysis and temporal invariance of the Positive and Negative Affect Schedule (PANAS

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    Iolanda Costa Galinha

    2013-12-01

    Full Text Available This paper analyzes the structure and the temporal invariance of the Portuguese version of the Positive and Negative Affect Schedule. Previous studies are not consensual whether PANAS measures two or three affect factors and whether such factors are independent or correlated. In order to fill in this gap, we compared the original PANAS, as an independent bi-dimensional structure, with several other alternative structures. Two hundred forty five university students and professional trainees answered the questionnaire in two distinct moments with a two month interval. The model of PANAS with a structure of two independent factors, Positive Affect (PA and Negative Affect (NA, as proposed by the authors of the scale, was tested. However, the best model consisted of two independent factors, PA and NA, with the cross-loading of the item "excited" between PA and NA, and specified error correlations between the same categories of emotions. Another gap in the literature is the temporal invariance analysis of the PANAS. This paper assesses the temporal invariance of the scale, using the structural equation modeling analysis. Although it was used in its state form version, the PANAS scale showed temporal stability in a two month interval.

  17. A Confirmatory Factor Analysis of the California Verbal Learning Test-Second Edition (CVLT-II) in the Standardization Sample

    Science.gov (United States)

    Donders, Jacobus

    2008-01-01

    The purpose of this study is to determine the latent structure of the California Verbal Learning Test-Second Edition (CVLT-II; Delis, Kramer, Kaplan, & Ober, 2000) at three different age levels, using the standardization sample. Maximum likelihood confirmatory factor analyses are performed to test four competing hypothetical models for fit and…

  18. A Confirmatory Factor Analysis of the California Verbal Learning Test-Second Edition (CVLT-II) in the Standardization Sample

    Science.gov (United States)

    Donders, Jacobus

    2008-01-01

    The purpose of this study is to determine the latent structure of the California Verbal Learning Test-Second Edition (CVLT-II; Delis, Kramer, Kaplan, & Ober, 2000) at three different age levels, using the standardization sample. Maximum likelihood confirmatory factor analyses are performed to test four competing hypothetical models for fit and…

  19. A confirmatory factor analysis of the WMS-III in a clinical sample with crossvalidation in the standardization sample.

    Science.gov (United States)

    Bradley Burton, D; Ryan, Joseph J; Axelrod, Bradley N; Schellenberger, Tony; Richards, Heather M

    2003-08-01

    A maximum likelihood confirmatory factor analysis (CFA) of the Wechsler Memory Scale-III (WMS-III) was performed by applying LISREL 8 to a general clinical sample (n=281). Analyses were designed to determine which of seven hypothesized oblique factor solutions could best explain memory as measured by the WMS-III. Competing latent variable models were identified in previous studies. Results in the clinical sample were crossvalidated by testing all models in the WMS-III standardization samples (combined n=1,250). Findings in both the clinical and standardization samples supported a four-factor model containing auditory memory, visual memory, working memory, and learning factors. Our analysis differed from that presented in the WMS-III manual and by other authors. We tested our models in a clinical sample and included selected word list subtests in order to test the viability of a learning dimension. Consistent with prior research, we were also unable to empirically support the viability of the immediate and delayed memory indices, despite allowing the error terms between the immediate and delayed memory subtests to correlate.

  20. Using confirmatory factor analysis to validate the Chamberlin affective instrument for mathematical problem solving with academically advanced students.

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    Chamberlin, Scott A; Moore, Alan D; Parks, Kelly

    2017-09-01

    Student affect plays a considerable role in mathematical problem solving performance, yet is rarely formally assessed. In this manuscript, an instrument and its properties are discussed to enable educational psychologists the opportunity to assess student affect. The study was conducted to norm the CAIMPS (instrument) with gifted students. In so doing, educational psychologists are informed of the process and the instrument's properties. The sample was comprised of 160 middle-grade (7 and 8) students, identified as gifted, in the United States. After completing one of four model-eliciting activities (MEAs), all participants completed the CAIMPS (Chamberlin Affective Instrument for Mathematical Problem Solving). Data were analysed using confirmatory factor analysis to ascertain the number of factors in the instrument. The normed fit index (0.6939), non-normed fit index (0.8072), and root mean square error approximation (.076) were at or near the acceptable levels. Alpha levels for factors were also robust (.637-.923). Data suggest that the instrument was a good fit for use with mathematics students in middle grades when solving problems. Perhaps the most impressive characteristic of the instrument was that the four factors (AVI: anxiety, value, and interest), SS (self-efficacy and self-esteem), ASP (aspiration), and ANX (anxiety) did not correlate highly with one another, which defies previous hypotheses in educational psychology. © 2017 The British Psychological Society.

  1. Confirmatory Factor Analysis and Differential Relationships of the Two Subdomains of Negative Symptoms in Chronically Ill Psychotic Patients.

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    Annemarie P M Stiekema

    Full Text Available Research suggests a two factor structure for negative symptoms in patients with psychotic disorders: social amotivation (SA and expressive deficits (ED. Applying this two-factor structure in clinical settings may provide valuable information with regard to outcomes and to target treatments. We aimed to investigate 1 whether the factor structure is also supported in chronically ill patients with a psychotic disorder and 2 what the relationship is between these factors and functioning (overall functioning and living situation, depressive symptoms and quality of life. 1157 Patients with a psychotic disorder and a duration of illness of 5 years or more were included in the analysis (data selected from the Pharmacotherapy Monitoring Outcome Survey; PHAMOUS. A confirmatory factor analysis was performed using items of the Positive and Negative Syndrome Scale that were previously identified to reflect negative symptoms (N1-4, N6, G5, G7, G13, G16. Subsequently, regression analysis was performed on outcomes. The results confirmed the distinction between SA (N2, N4, G16 and ED (N1, N3, N6, G5, G7, G13 in chronically ill patients. Both factors were related to worse overall functioning as measured with the Health of the Nation Outcome Scales, ED was uniquely associated with residential living status. Higher scores for SA were associated with more depressive symptoms and worse quality of life. Thus, SA is most strongly related to level of social-emotional functioning, while ED are more related to living situation and thereby are indicative of level of everyday functioning. This subdivision may be useful for research purposes and be a valuable additional tool in clinical practice and treatment development.

  2. Development of Physical Activity-Related Parenting Practices Scales for Urban Chinese Parents of Preschoolers: Confirmatory Factor Analysis and Reliability.

    Science.gov (United States)

    Suen, Yi-Nam; Cerin, Ester; Barnett, Anthony; Huang, Wendy Y J; Mellecker, Robin R

    2017-09-01

    Valid instruments of parenting practices related to children's physical activity (PA) are essential to understand how parents affect preschoolers' PA. This study developed and validated a questionnaire of PA-related parenting practices for Chinese-speaking parents of preschoolers in Hong Kong. Parents (n = 394) completed a questionnaire developed using findings from formative qualitative research and literature searches. Test-retest reliability was determined on a subsample (n = 61). Factorial validity was assessed using confirmatory factor analysis. Subscale internal consistency was determined. The scale of parenting practices encouraging PA comprised 2 latent factors: Modeling, structure and participatory engagement in PA (23 items), and Provision of appropriate places for child's PA (4 items). The scale of parenting practices discouraging PA scale encompassed 4 latent factors: Safety concern/overprotection (6 items), Psychological/behavioral control (5 items), Promoting inactivity (4 items), and Promoting screen time (2 items). Test-retest reliabilities were moderate to excellent (0.58 to 0.82), and internal subscale reliabilities were acceptable (0.63 to 0.89). We developed a theory-based questionnaire for assessing PA-related parenting practices among Chinese-speaking parents of Hong Kong preschoolers. While some items were context and culture specific, many were similar to those previously found in other populations, indicating a degree of construct generalizability across cultures.

  3. Confirmatory Factor Analysis of the "World Health Organization Quality of Life Questionnaire--Brief Version" for Individuals with Spinal Cord Injury

    Science.gov (United States)

    Miller, Susan M.; Chan, Fong; Ferrin, James M.; Lin, Chen-Ping; Chan, Jacob Y. C.

    2008-01-01

    This study examined the factorial structure of the "World Health Organization Quality of Life Questionnaire--Brief Version" in a community sample of Canadians with spinal cord injuries. A confirmatory factor analysis provides evidence that the instrument is a multidimensional measure of quality of life. Additionally, the questionnaire is…

  4. Confirmatory Factor Analysis of the "World Health Organization Quality of Life Questionnaire--Brief Version" for Individuals with Spinal Cord Injury

    Science.gov (United States)

    Miller, Susan M.; Chan, Fong; Ferrin, James M.; Lin, Chen-Ping; Chan, Jacob Y. C.

    2008-01-01

    This study examined the factorial structure of the "World Health Organization Quality of Life Questionnaire--Brief Version" in a community sample of Canadians with spinal cord injuries. A confirmatory factor analysis provides evidence that the instrument is a multidimensional measure of quality of life. Additionally, the questionnaire is…

  5. Validation of an instrument to measure tutor performance in promoting self-directed learning by using confirmatory factor analysis

    Directory of Open Access Journals (Sweden)

    Genoveva Amador Fierros

    Full Text Available Objective.This work sought to validate and propose an instrument to measure the performance of tutors in promoting self-directed learning in students involved in processes of problem-based learning. Methods. Confirmatory factor analysis (CFA was applied to validate the instrument composed of 60 items and six factors (self-assessment of learning gaps within the United Nations specific context: self-assessment, reflexion, critical thinking, administration of information, group skills, using a sample of 207 students from a total of 279, which comprise the student population of the Faculty of Nursing at Universidad de Colima in Mexico. (2007. Results. The CFA results demonstrated that the instrument is acceptable to measure performance of tutors in promoting self-directed learning, given that all the indicators, variances, covariances, and thresholds are statistically significant. Conclusion. The instrument permits obtaining students' opinions on how much professors contribute for them to develop each of the 60 skills described in the scale. Lastly, the results could report if professors are placing more emphasis in some areas than in other areas they should address during the problem-based learning (PBL process, or if definitely their actions are removed from the premises of PBL, information that will be useful for school management in decision making on the direction of teaching as a whole.

  6. The Beliefs about Paranoia Scale: Confirmatory factor analysis and tests of a metacognitive model of paranoia in a clinical sample.

    Science.gov (United States)

    Murphy, Elizabeth K; Tully, Sarah; Pyle, Melissa; Gumley, Andrew I; Kingdon, David; Schwannauer, Matthias; Turkington, Douglas; Morrison, Anthony P

    2017-02-01

    This study aimed to confirm the factor structure of the Beliefs about Paranoia Scale (BaPS), a self-report measure to assess metacognitive beliefs about paranoia, and to test hypotheses of a metacognitive model. We hypothesised that positive and negative beliefs about paranoia would be associated with severity of suspiciousness, and that the co-occurrence of positive and negative beliefs would be associated with increased suspiciousness. A total of 335 patients meeting criteria for a schizophrenia spectrum disorder completed the BaPS, the Positive and Negative Syndromes Scale (PANSS), and the Psychotic Symptom Rating Scales (PSYRATS). Confirmatory factor analysis verified that the three BaPS subscales (negative beliefs about paranoia, paranoia as a survival strategy, and normalizing beliefs) were an adequate fit of the data. Ordinal regression showed that positive beliefs about paranoia as a survival strategy and negative beliefs were both associated with severity of suspiciousness. This was the first study to show that the co-occurrence of positive and negative beliefs was associated with increased suspiciousness. All hypotheses were confirmed, suggesting that a metacognitive approach has utility for the conceptualization of paranoia. Clinical implications suggest a role for metacognitive therapy, including strategies such as detached mindfulness and worry postponement.

  7. Ideal, nonideal, and no-marker variables: The confirmatory factor analysis (CFA) marker technique works when it matters.

    Science.gov (United States)

    Williams, Larry J; O'Boyle, Ernest H

    2015-09-01

    A persistent concern in the management and applied psychology literature is the effect of common method variance on observed relations among variables. Recent work (i.e., Richardson, Simmering, & Sturman, 2009) evaluated 3 analytical approaches to controlling for common method variance, including the confirmatory factor analysis (CFA) marker technique. Their findings indicated significant problems with this technique, especially with nonideal marker variables (those with theoretical relations with substantive variables). Based on their simulation results, Richardson et al. concluded that not correcting for method variance provides more accurate estimates than using the CFA marker technique. We reexamined the effects of using marker variables in a simulation study and found the degree of error in estimates of a substantive factor correlation was relatively small in most cases, and much smaller than error associated with making no correction. Further, in instances in which the error was large, the correlations between the marker and substantive scales were higher than that found in organizational research with marker variables. We conclude that in most practical settings, the CFA marker technique yields parameter estimates close to their true values, and the criticisms made by Richardson et al. are overstated. (c) 2015 APA, all rights reserved).

  8. A Multigroup Confirmatory Factor Analysis of the Patient Health Questionnaire-9 among English- and Spanish-speaking Latinas

    Science.gov (United States)

    Merz, Erin L.; Malcarne, Vanessa L.; Roesch, Scott C.; Riley, Natasha; Sadler, Georgia Robins

    2014-01-01

    Depression is a significant problem for ethnic minorities that remains understudied partly due to a lack of strong measures with established psychometric properties. One screening tool, the Patient Health Questionnaire-9 (PHQ-9), which was developed for use in primary care has also gained popularity in research settings. The reliability and validity of the PHQ-9 has been well established among predominantly Caucasian samples, in addition to many minority groups. However, there is little evidence regarding its utility among Hispanic Americans, a large and growing cultural group in the United States. In this study, we investigated the reliability and structural validity of the PHQ-9 in Hispanic American women. A community sample of 479 Latina women from southern California completed the PHQ-9 in their preferred language of English or Spanish. Cronbach’s alphas suggested that there was good internal consistency for both the English- and Spanish-language versions. Structural validity was investigated using multigroup confirmatory factor analysis (CFA). Results support a similar one-factor structure with equivalent response patterns and variances among English- and Spanish-speaking Latinas. These results suggest that the PHQ-9 can be used with confidence in both English and Spanish versions to screen Latinas for depression. PMID:21787063

  9. Validation of an instrument to measure tutor performance in promoting self-directed learning by using confirmatory factor analysis.

    Science.gov (United States)

    Amador Fierros, Genoveva; Montesinos-López, Osval Antonio; Alcaráz Moreno, Noemí

    2016-04-01

    This work sought to validate and propose an instrument to measure the performance of tutors in promoting self-directed learning in students involved in processes of problem-based learning. Confirmatory factor analysis (CFA) was applied to validate the instrument composed of 60 items and six factors (self-assessment of learning gaps within the United Nations specific context: self-assessment, reflexion, critical thinking, administration of information, group skills), using a sample of 207 students from a total of 279, which comprise the student population of the Faculty of Nursing at Universidad de Colima in Mexico. (2007). The CFA results demonstrated that the instrument is acceptable to measure performance of tutors in promoting self-directed learning, given that all the indicators, variances, covariances, and thresholds are statistically significant. The instrument permits obtaining students' opinions on how much professors contribute for them to develop each of the 60 skills described in the scale. Lastly, the results could report if professors are placing more emphasis in some areas than in other areas they should address during the problem-based learning (PBL) process, or if definitely their actions are removed from the premises of PBL, information that will be useful for school management in decision making on the direction of teaching as a whole.

  10. 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.

  11. Confirmatory factor analysis of the WMS-III in patients with temporal lobe epilepsy.

    Science.gov (United States)

    Wilde, Nancy J; Strauss, Esther; Chelune, Gordon J; Hermann, Bruce P; Hunter, Michael; Loring, David W; Martin, Roy C; Sherman, Elisabeth M S

    2003-03-01

    Five competing models specifying the factor structure underlying the Wechsler Memory Scale-Third Edition (D. Wechsler, 1997b) primary subtest scores were evaluated in a sample of patients with intractable temporal lobe epilepsy (N = 254). Models specifying separate immediate and delayed constructs resulted in inadmissible parameter estimates and model specification error. There were negligible goodness-of-fit differences between a 3-factor model of working memory, auditory memory, and visual memory and a nested--more parsimonious--2-factor model of working memory and general memory. The results suggest that specifying a separate visual memory factor provides little advantage for this sample--an unexpected finding in a population with lateralized dysfunction, for which one might have predicted separate auditory and visual memory dimensions.

  12. Best-fit model of exploratory and confirmatory factor analysis of the 2010 Medical Council of Canada Qualifying Examination Part I clinical decision-making cases.

    Science.gov (United States)

    Champlain, André F De

    2015-01-01

    This study aims to assess the fit of a number of exploratory and confirmatory factor analysis models to the 2010 Medical Council of Canada Qualifying Examination Part I (MCCQE1) clinical decision-making (CDM) cases. The outcomes of this study have important implications for a range of domains, including scoring and test development. The examinees included all first-time Canadian medical graduates and international medical graduates who took the MCCQE1 in spring or fall 2010. The fit of one- to five-factor exploratory models was assessed for the item response matrix of the 2010 CDM cases. Five confirmatory factor analytic models were also examined with the same CDM response matrix. The structural equation modeling software program Mplus was used for all analyses. Out of the five exploratory factor analytic models that were evaluated, a three-factor model provided the best fit. Factor 1 loaded on three medicine cases, two obstetrics and gynecology cases, and two orthopedic surgery cases. Factor 2 corresponded to pediatrics, and the third factor loaded on psychiatry cases. Among the five confirmatory factor analysis models examined in this study, three- and four-factor lifespan period models and the five-factor discipline models provided the best fit. The results suggest that knowledge of broad disciplinary domains best account for performance on CDM cases. In test development, particular effort should be placed on developing CDM cases according to broad discipline and patient age domains; CDM testlets should be assembled largely using the criteria of discipline and age.

  13. A Confirmatory Factor Analysis of the Life Orientation Test-Revised with Competitive Athletes

    Science.gov (United States)

    Appaneal, Renee N.

    2012-01-01

    Current reviews outside of sport indicate that the Life Orientation Test-Revised (LOT-R) items load on two separate factors (optimism and pessimism) and, therefore, should be treated as independent constructs. However, researchers in the sport sciences continue to use the single composite score reflecting a unidimensional definition of optimism.…

  14. Bayesian Exploratory and Confirmatory Factor Analysis: Perspectives on Constrained-Model Selection

    NARCIS (Netherlands)

    Peeters, C.F.W.

    2012-01-01

    The dissertation revolves around three aims. The first aim is the construction of a conceptually and computationally simple Bayes factor for Type I constrained-model selection (dimensionality determination) that is determinate under usage of improper priors and the subsequent utilization of this

  15. Measuring implementation behaviour of menu guidelines in the childcare setting: confirmatory factor analysis of a theoretical domains framework questionnaire (TDFQ).

    Science.gov (United States)

    Seward, Kirsty; Wolfenden, Luke; Wiggers, John; Finch, Meghan; Wyse, Rebecca; Oldmeadow, Christopher; Presseau, Justin; Clinton-McHarg, Tara; Yoong, Sze Lin

    2017-04-04

    While there are number of frameworks which focus on supporting the implementation of evidence based approaches, few psychometrically valid measures exist to assess constructs within these frameworks. This study aimed to develop and psychometrically assess a scale measuring each domain of the Theoretical Domains Framework for use in assessing the implementation of dietary guidelines within a non-health care setting (childcare services). A 75 item 14-domain Theoretical Domains Framework Questionnaire (TDFQ) was developed and administered via telephone interview to 202 centre based childcare service cooks who had a role in planning the service menu. Confirmatory factor analysis (CFA) was undertaken to assess the reliability, discriminant validity and goodness of fit of the 14-domain theoretical domain framework measure. For the CFA, five iterative processes of adjustment were undertaken where 14 items were removed, resulting in a final measure consisting of 14 domains and 61 items. For the final measure: the Chi-Square goodness of fit statistic was 3447.19; the Standardized Root Mean Square Residual (SRMR) was 0.070; the Root Mean Square Error of Approximation (RMSEA) was 0.072; and the Comparative Fit Index (CFI) had a value of 0.78. While only one of the three indices support goodness of fit of the measurement model tested, a 14-domain model with 61 items showed good discriminant validity and internally consistent items. Future research should aim to assess the psychometric properties of the developed TDFQ in other community-based settings.

  16. Confirmatory factor analysis of the Frommelt Attitude Toward Care of the Dying Scale (FATCOD-B) among Italian medical students.

    Science.gov (United States)

    Leombruni, Paolo; Loera, Barbara; Miniotti, Marco; Zizzi, Francesca; Castelli, Lorys; Torta, Riccardo

    2015-10-01

    A steady increase in the number of patients requiring end-of-life care has been observed during the last decades. The assessment of healthcare students' attitudes toward end-of-life care is an important step in their curriculum, as it provides information about their disposition to practice palliative medicine. The Frommelt Attitude Toward Care of the Dying Scale (FATCOD-B) was developed to detect such a disposition, but its psychometric properties are yet to be clearly defined. A convenience sample of 608 second-year medical students participated in our study in the 2012/2013 and 2013/2014 academic years. All participants completed the FATCOD-B. The sample was randomly divided in two subsamples. In the item analysis, reliability (Cronbach's α), internal consistency (item-total correlations), and an exploratory factor analysis (EFA) were conducted using the first subsample (n = 300). Using the second subsample (n = 308), confirmatory factor analysis (CFA) was performed using the robust ML method in the Lisrel program. Reliability for all items was 0.699. Item-total correlations, ranging from 0.03 to 0.39, were weak. EFA identified a two-dimensional orthogonal solution, explaining 20% of total variance. CFA upheld the two-dimensional model, but the loadings on the dimensions and their respective indicators were weak and equal to zero for certain items. The findings of the present study suggest that the FATCOD-B measures a two-dimensional construct and that several items seem in need of revision. Future research oriented toward building a revised version of the scale should pay attention to item ambiguity and take particular care to distinguish among items that concern emotions and beliefs related to end-of-life care, as well as their subjects (e.g., the healthcare provider, the patient, his family).

  17. Loneliness and solitude in adolescence: A confirmatory factor analysis of alternative models

    DEFF Research Database (Denmark)

    Goossens, Luc; Lasgaard, Mathias; Luyckx, Koen

    2009-01-01

    The present study tested a four-factor model of adolescent loneliness and solitude that comprises peer-related loneliness, family loneliness, negative attitude toward solitude, and positive attitude toward solitude. Nine different instruments for a total of 14 scales and derivative subscales were...... of the Loneliness and Aloneness Scale for Children and Adolescents (LACA) is recommended, because the instrument measures all four aspects of the model. Implications for current theories on adolescent loneliness and associated phenomena, such as adolescents' attitude toward being on their own, are briefly discussed....

  18. Edinburgh Handedness Inventory - Short Form: a revised version based on confirmatory factor analysis.

    Science.gov (United States)

    Veale, Jaimie F

    2014-01-01

    While the Edinburgh Handedness Inventory has been widely used, there have been few studies assessing its factorial validity. There is evidence that the original instructions and response options are difficult to understand. Using simplified instructions and response options, the Edinburgh Handedness Inventory was administered on a sample of 1514 participants using an online questionnaire. In accordance with previous research, a model of the 10-item inventory had poor fit for the data. This study also detected model misspecification in the previously-proposed 7-item modification. A 4-item Edinburgh Handedness Inventory - Short Form had good model fit with items modelled as both continuous and ordinal. Despite its brevity, it showed very good reliability, factor score determinacy, and correlation with scores on the 10-item inventory. By eliminating items that were modelled with considerable measurement error, the short form alleviates the concern of the 10-item inventory over-categorising mixed handers. Evidence was found for factorial invariance across level of education, age groups, and regions (USA and Australia/New Zealand). There generally appeared to be invariance across genders for the 4-item inventory. The proposed Edinburgh Handedness Inventory - Short Form measures a single handedness factor with an inventory that has brief and simple instructions and a small number of items.

  19. Psychometric Properties of the Spanish Version of the UPPS-P Impulsive Behavior Scale : A Rasch Rating Scale Analysis and Confirmatory Factor Analysis

    OpenAIRE

    Pilatti, Angela; Lozano Rojas, Oscar Martín; Cyders, Melissa A.

    2015-01-01

    The present study was aimed at determining the psychometric properties of the Spanish version of the UPPS-P Impulsive Behavior Scale in a sample of college students. Participants were 318 college students (36.2% men; mean age = 20.9 years, SD = 6.4 years). The psychometric properties of this Spanish version were analyzed using the Rasch model, and the factor structure was examined using confirmatory factor analysis. The verification of the global fit of the data showed adequate indexes for pe...

  20. Confirmatory factor analysis of the Feeding Emotions Scale. A measure of parent emotions in the context of feeding.

    Science.gov (United States)

    Frankel, Leslie; Fisher, Jennifer O; Power, Thomas G; Chen, Tzu-An; Cross, Matthew B; Hughes, Sheryl O

    2015-08-01

    Assessing parent affect is important because studies examining the parent-child dyad have shown that parent affect has a profound impact on parent-child interactions and related outcomes. Although some measures that assess general affect during daily lives exist, to date there are only few tools that assess parent affect in the context of feeding. The aim of this study was to develop an instrument to measure parent affect specific to the feeding context and determine its validity and reliability. A brief instrument consisting of 20 items was developed that specifically asks how parents feel during the feeding process. This brief instrument draws on the structure of a well-validated general affect measure. A total of 296 Hispanic and Black Head Start parents of preschoolers completed the Feeding Emotions Scale along with other parent-report measures as part of a larger study designed to better understand feeding interactions during the dinner meal. Confirmatory factor analysis supported a two-factor model with independent subscales of positive affect and negative affect (Cronbach's alphas of 0.85 and 0.84, respectively). Concurrent and convergent construct validity was evaluated by correlating the subscales of the Feeding Emotions Scale with positive emotionality and negative emotionality from the Differential Emotions Scale - a measure of general adult emotions. Concurrent and convergent criterion validity was evaluated by testing mean differences in affect across parent feeding styles using ANOVA. A significant difference was found across maternal weight status for positive feeding affect. The resulting validated measure can be used to assess parent affect in studies of feeding to better understand how interactions during feeding may impact the development of child eating behaviors and possibly weight status.

  1. Using Hospital Anxiety and Depression Scale (HADS) on patients with epilepsy: Confirmatory factor analysis and Rasch models.

    Science.gov (United States)

    Lin, Chung-Ying; Pakpour, Amir H

    2017-02-01

    The problems of mood disorders are critical in people with epilepsy. Therefore, there is a need to validate a useful tool for the population. The Hospital Anxiety and Depression Scale (HADS) has been used on the population, and showed that it is a satisfactory screening tool. However, more evidence on its construct validity is needed. A total of 1041 people with epilepsy were recruited in this study, and each completed the HADS. Confirmatory factor analysis (CFA) and Rasch analysis were used to understand the construct validity of the HADS. In addition, internal consistency was tested using Cronbachs' α, person separation reliability, and item separation reliability. Ordering of the response descriptors and the differential item functioning (DIF) were examined using the Rasch models. The HADS showed that 55.3% of our participants had anxiety; 56.0% had depression based on its cutoffs. CFA and Rasch analyses both showed the satisfactory construct validity of the HADS; the internal consistency was also acceptable (α=0.82 in anxiety and 0.79 in depression; person separation reliability=0.82 in anxiety and 0.73 in depression; item separation reliability=0.98 in anxiety and 0.91 in depression). The difficulties of the four-point Likert scale used in the HADS were monotonically increased, which indicates no disordering response categories. No DIF items across male and female patients and across types of epilepsy were displayed in the HADS. The HADS has promising psychometric properties on construct validity in people with epilepsy. Moreover, the additive item score is supported for calculating the cutoff. Copyright © 2016 British Epilepsy Association. Published by Elsevier Ltd. All rights reserved.

  2. Comparing different versions of the Rahim EI questionnaire in a South African context: A confirmatory factor analysis approach

    Directory of Open Access Journals (Sweden)

    Petrus Nel

    2015-02-01

    Full Text Available Orientation: Given the interest in the importance of emotional intelligence in employees and leaders with regard to performance of their jobs, it is imperative to use reliable and validinstruments to operationalise emotional intelligence.Research purpose: The purpose of the study was to assess the psychometric properties of three different versions of the Rahim emotional intelligence index (EQI, specifically withregard to its factor structure and reliability, using two different samples.otivation for the study: No previous study has investigated which version of the Rahim EQI is the most appropriate for conducting research within South African organisations. Inaddition, the question of whether the Rahim EQI measures a strong general factor has notbeen answered.Research approach, design, and method: A cross-sectional quantitative research design wasused. Two samples were used (n = 470 and n = 308. The first sample completed the 40-itemversion of the Rahim EQI, whilst the second sample completed the 30-item version of the Rahim EQI. The measurement model, representing the 22-item version of the Rahim EQI, was also fitted to both these samples. Confirmatory factor analysis was used to compare thedifferent versions, as well as conceptualisations, of the Rahim EQI.Main findings: The 22-item version of the Rahim EQI exhibited better model fit than the 40-item and 30-item versions. In addition, the bifactor model suggested that the Rahim EQIseems to measure a strong general factor (emotional intelligence with very little evidence ofthe presence of unique group factors (self-awareness, self-regulation, motivation, empathy and social skills.Practical/managerial implications: Both the reliability and factor structure of the 22-item version of the Rahim EQI have been confirmed. The bifactor structure should inform researchers and practitioners that, in order to understand emotional intelligence, it is better to conceptualise it as a unidimensional

  3. Could the Food Neophobia Scale be adapted to pregnant women? A confirmatory factor analysis in a Portuguese sample.

    Science.gov (United States)

    Paupério, Ana; Severo, Milton; Lopes, Carla; Moreira, Pedro; Cooke, Lucy; Oliveira, Andreia

    2014-04-01

    The Food Neophobia Scale (FNS) is widely used in different countries, however appropriate psychometric analyses are required to allow cross-cultural comparisons. To our knowledge, most studies have been conducted among children and adult populations, with no reference to pregnant women. The objective of this study was to translate and test the psychometric properties of a Portuguese version of the FNS, and to identify clusters of food neophobia during pregnancy. The FNS was translated into Portuguese by three health researchers, and back-translated into English by an independent native English speaker and professional translator. The scale was self-administered in a sample of 219 women from the baseline evaluation of the Taste intervention study (HabEat project: http://www.habeat.eu/), who attended medical visits in two hospitals from Porto, Portugal, reporting food neophobia during the last trimester of pregnancy. The FNS consists of 10 items with a 7-point rating scale. An exploratory analysis was performed to evaluate the scale's dimensionality, followed by a confirmatory factor analysis to test the fit of the previous model by using different indexes. Cronbach's alpha coefficient was calculated to evaluate the internal reliability of the scale. The construct validity was assessed by comparing the FNS scores by categories of education, age and fruit and vegetables intake by ANOVA. A Model-based clustering was used to identify patterns of food neophobia; the number of latent classes was defined according to the Bayesian information criterion. A two-factor model solution was obtained (after excluding item 8 with a factor loading foods; less neophobic traits) and items 2, 3, 5 and 7 loaded into a second factor (i.e. more neophobic traits). A good global of fitness of the model was confirmed by fit indexes: TLI=0.876, CFI=0.911, RMSEA=0.088 and SRMR=0.051. The higher the education, age, and fruit and vegetables intake the lower the neophobic tendency, measured by

  4. Confirmatory factor analysis of the WHO Violence Against Women instrument in pregnant women: results from the BRISA prenatal cohort.

    Science.gov (United States)

    Ribeiro, Marizélia Rodrigues Costa; de Britto e Alves, Maria Teresa Seabra Soares; Batista, Rosângela Fernandes Lucena; Ribeiro, Cecília Cláudia Costa; Schraiber, Lilia Blima; Barbieri, Marco Antônio; Bettiol, Heloisa; da Silva, Antônio Augusto Moura

    2014-01-01

    Screening for violence during pregnancy is one of the strategies for the prevention of abuse against women. Since violence is difficult to measure, it is necessary to validate questionnaires that can provide a good measure of the phenomenon. The present study analyzed the psychometric properties of the World Health Organization Violence Against Women (WHO VAW) instrument for the measurement of violence against pregnant women. Data from the Brazilian Ribeirão Preto and São Luís birth cohort studies (BRISA) were used. The sample consisted of 1,446 pregnant women from São Luís and 1,378 from Ribeirão Preto, interviewed in 2010 and 2011. Thirteen variables were selected from a self-applied questionnaire. Confirmatory factor analysis was used to investigate whether violence is a uni-or-multidimensional construct consisting of psychological, physical and sexual dimensions. The mean-and-variance-adjusted weighted least squares estimator was used. Models were fitted separately for each city and a third model combining data from the two settings was also tested. Models suggested from modification indices were tested to determine whether changes in the WHO VAW model would produce a better fit. The unidimensional model did not show good fit (Root mean square error of approximation [RMSEA]  = 0.060, p violence showed a significantly better fit compared to the original WHO model (p Violence is a multidimensional second-order construct consisting of psychological, physical and sexual dimensions. The WHO VAW model and the modified models are suitable for measuring violence against pregnant women.

  5. A confirmatory factor analysis of the "Autoconcepto Forma 5" questionnaire in young adults from Spain and Chile.

    Science.gov (United States)

    García, José Fernando; Musitu, Gonzalo; Riquelme, Enrique; Riquelme, Paula

    2011-11-01

    The aim of this work is to examine the pentafactorial validity of the AF5 Self-Concept Questionnaire in Spanish and Chilean young adults. From the responses of a total of 4,383 young adults aged 17 to 22 years (1,918 Spanish, 44%, and 2,465 Chilean, 56%) it was analyzed the reliability of the instrument, the compared validity of the 5 oblique factor model proposed by the authors versus the unifactorial and the orthogonal alternative models, and was studied the invariance of one Chilean sample. The results of confirmatory factor analyses supported the authors' pentafactorial model. The multi-group factorial invariance showed that Chilean sample of the AF5 does not change neither the Spanish factor weights, nor the variances and covariances of the factors, or the error variances of items. Finally, the internal consistency of the five scales was good in the samples of both countries.

  6. Confirmatory Factor Analysis of the Dutch Version of the Wechsler Memory Scale-Fourth Edition (WMS-IV-NL).

    Science.gov (United States)

    Bouman, Zita; Hendriks, Marc P H; Kerkmeer, Margreet C; Kessels, Roy P C; Aldenkamp, Albert P

    2015-05-01

    The latent factor structure of the Dutch version of the Wechsler Memory Scale-Fourth Edition (WMS-IV-NL) was examined with a series of confirmatory factor analyses. As part of the Dutch standardization, 1,188 healthy participants completed the WMS-IV-NL. Four models were tested for the Adult Battery (16-69 years; N = 699), and two models were tested for the Older Adult Battery (65-90 years; N = 489). Results corroborated the presence of three WMS-IV-NL factors in the Adult Battery consisting of Auditory Memory, Visual Memory, and Visual Working Memory. A two-factor model (consisting of Auditory Memory and Visual Memory) provided the best fit for the data of the Older Adult Battery. These findings provide evidence for the structural validity of the WMS-IV-NL, and further support the psychometric integrity of the WMS-IV.

  7. Measuring disability experienced by adults living with HIV: assessing construct validity of the HIV Disability Questionnaire using confirmatory factor analysis.

    Science.gov (United States)

    O'Brien, Kelly K; Solomon, Patricia; Bayoumi, Ahmed M

    2014-09-01

    To assess the construct validity of the HIV Disability Questionnaire (HDQ), a self-administered questionnaire that describes the presence, severity and episodic nature of disability experienced by people living with HIV. We conducted a confirmatory factor analysis. We hypothesised that domains in the HDQ characterised six dimensions of disability, each represented by HDQ items: physical symptoms and impairments (20 items); cognitive symptoms and impairments (3 items); mental and emotional health symptoms and impairments (11 items); uncertainty (14 items); difficulties with day-to-day activities (9 items) and challenges to social inclusion (12 items). We developed a measurement model to test these hypotheses. We used maximum likelihood methods of estimation to determine model fit. We considered a threshold for the Root Mean Square Error of Approximation (RMSEA) of model fit. We considered variables with factor loadings of >0.30 as representing a given domain of disability. We recruited adults with HIV from hospital clinics, AIDS service organisations and a specialty hospital in Ontario. Of the 361 adults with HIV who completed the HDQ, 80% were men, 36% were 50 or older and 77% reported living with at least two concurrent health conditions in addition to HIV. We administered the HDQ followed by a demographic questionnaire. The model achieved good overall fit as indicated by a RMSEA of 0.030 (90% CI 0.028 to 0.033). All HDQ items represented our hypothesised dimensions of disability (factor loadings >0.30). Factor loadings ranged from 0.34 to 0.90. Domains of disability correlated with each other ranging from r=0.47 (between difficulties with day-to-day activities and uncertainty) to r=0.88 (between mental-emotional health challenges and challenges to social inclusion). The six domain structure of the HDQ demonstrated construct validity when administered to adults living with HIV. Published by the BMJ Publishing Group Limited. For permission to use (where not already

  8. Positive and negative affectivity in children: confirmatory factor analysis of a two-factor model and its relation to symptoms of anxiety and depression.

    Science.gov (United States)

    Lonigan, C J; Hooe, E S; David, C F; Kistner, J A

    1999-06-01

    The positive affect (PA) and negative affect (NA) framework that is embodied in the tripartite model of anxiety and depression has proved useful with adult populations; however, there is as yet little investigation with children concerning either the measurement of PA and NA or the relation between PA and NA and levels of adjustment. A confirmatory factor analysis was used in this study to examine the structure of self-reported affect and its relation to depressive and anxious symptoms in school children (4th to 11th grade). Results supported a 2-factor orthogonal model that was invariant across age and sex. Support for the expected pattern of relations between NA and PA with symptoms of depression and anxiety was strong for the older sample (M = 14.2 years) but weaker for the younger sample (M = 10.3 years). Results also provide preliminary support for the reliability and validity of the Positive and Negative Affect Schedule for children.

  9. Psychometric properties of the Dresden Body Image Questionnaire: A multiple-group confirmatory factor analysis across sex and age in a Dutch non-clinical sample

    Science.gov (United States)

    Scheffers, Mia; van Duijn, Marijtje A. J.; Bosscher, Ruud J.; Wiersma, Durk; Schoevers, Robert A.; van Busschbach, Jooske T.

    2017-01-01

    Background Body image has implications for psychosocial functioning and quality of life and its disturbance is reported in a broad range of psychiatric disorders. In view of the lack of instruments in Dutch measuring body image as a broad concept, we set out to make an instrument available that reflects the multidimensional character of this construct by including more dimensions than physical appearance. The Dresden Körperbildfragebogen (DBIQ, Dresden Body Image Questionnaire) particularly served this purpose. The DBIQ consists of 35 items and five subscales: body acceptance, sexual fulfillment, physical contact, vitality, and self-aggrandizement. The main objective of the present study was to evaluate the psychometric properties of the Dutch translation of the Dresden Body Image Questionnaire (DBIQ-NL) in a non-clinical sample. Methods The psychometric properties of the DBIQ-NL were examined in a non-clinical sample of 988 respondents aged between 18 and 65. We investigated the subscales' internal consistency and test-retest reliability. In order to establish construct validity we evaluated the association with a related construct, body cathexis, and with indices of self-esteem and psychological wellbeing. The factor structure of the DBIQ-NL was examined via confirmatory factor analysis (CFA). The equivalence of the measurement model across sex and age was evaluated by multiplegroup confirmatory factor analyses. Results Confirmatory factor analyses showed a structure in accordance with the original scale, where model fit was improved significantly by moving one item to another subscale. Multiple group confirmatory factor analysis across sex and age demonstrated partial strong invariance. Internal consistency was good with little overlap between the subscales. Temporal reliability and construct validity were satisfactory. Conclusion Results indicate that the DBIQ-NL is a reliable and valid instrument for non-clinical subjects. This provides a sound basis for

  10. Confirmatory factor analysis of the WHO Violence Against Women instrument in pregnant women: results from the BRISA prenatal cohort.

    Directory of Open Access Journals (Sweden)

    Marizélia Rodrigues Costa Ribeiro

    Full Text Available BACKGROUND: Screening for violence during pregnancy is one of the strategies for the prevention of abuse against women. Since violence is difficult to measure, it is necessary to validate questionnaires that can provide a good measure of the phenomenon. The present study analyzed the psychometric properties of the World Health Organization Violence Against Women (WHO VAW instrument for the measurement of violence against pregnant women. METHODS: Data from the Brazilian Ribeirão Preto and São Luís birth cohort studies (BRISA were used. The sample consisted of 1,446 pregnant women from São Luís and 1,378 from Ribeirão Preto, interviewed in 2010 and 2011. Thirteen variables were selected from a self-applied questionnaire. Confirmatory factor analysis was used to investigate whether violence is a uni-or-multidimensional construct consisting of psychological, physical and sexual dimensions. The mean-and-variance-adjusted weighted least squares estimator was used. Models were fitted separately for each city and a third model combining data from the two settings was also tested. Models suggested from modification indices were tested to determine whether changes in the WHO VAW model would produce a better fit. RESULTS: The unidimensional model did not show good fit (Root mean square error of approximation [RMSEA]  = 0.060, p < 0.001 for the combined model. The multidimensional WHO VAW model showed good fit (RMSEA = 0.036, p = 0.999 for the combined model and standardized factor loadings higher than 0.70, except for the sexual dimension for SL (0.65. The models suggested by the modification indices with cross loadings measuring simultaneously physical and psychological violence showed a significantly better fit compared to the original WHO model (p < 0.001 for the difference between the model chi-squares. CONCLUSIONS: Violence is a multidimensional second-order construct consisting of psychological, physical and sexual dimensions. The WHO VAW

  11. Factor Structure of Scores from the Maslach Burnout Inventory: A Review and Meta-Analysis of 45 Exploratory and Confirmatory Factor-Analytic Studies

    Science.gov (United States)

    Worley, Jody A.; Vassar, Matt; Wheeler, Denna L.; Barnes, Laura L. B.

    2008-01-01

    This study provides a summary of 45 exploratory and confirmatory factor-analytic studies that examined the internal structure of scores obtained from the Maslach Burnout Inventory (MBI). It highlights characteristics of the studies that account for differences in reporting of the MBI factor structure. This approach includes an examination of the…

  12. Best-fit model of exploratory and confirmatory factor analysis of the 2010 Medical Council of Canada Qualifying Examination Part I clinical decision-making cases

    Directory of Open Access Journals (Sweden)

    André F. De Champlain

    2015-04-01

    Full Text Available Purpose: This study aims to assess the fit of a number of exploratory and confirmatory factor analysis models to the 2010 Medical Council of Canada Qualifying Examination Part I (MCCQE1 clinical decision-making (CDM cases. The outcomes of this study have important implications for a range of domains, including scoring and test development. Methods: The examinees included all first-time Canadian medical graduates and international medical graduates who took the MCCQE1 in spring or fall 2010. The fit of one- to five-factor exploratory models was assessed for the item response matrix of the 2010 CDM cases. Five confirmatory factor analytic models were also examined with the same CDM response matrix. The structural equation modeling software program Mplus was used for all analyses. Results: Out of the five exploratory factor analytic models that were evaluated, a three-factor model provided the best fit. Factor 1 loaded on three medicine cases, two obstetrics and gynecology cases, and two orthopedic surgery cases. Factor 2 corresponded to pediatrics, and the third factor loaded on psychiatry cases. Among the five confirmatory factor analysis models examined in this study, three- and four-factor lifespan period models and the five-factor discipline models provided the best fit. Conclusion: The results suggest that knowledge of broad disciplinary domains best account for performance on CDM cases. In test development, particular effort should be placed on developing CDM cases according to broad discipline and patient age domains; CDM testlets should be assembled largely using the criteria of discipline and age.

  13. Portuguese version of the PTSD Checklist-Military Version (PCL-M)-I: Confirmatory Factor Analysis and reliability.

    Science.gov (United States)

    Carvalho, Teresa; Cunha, Marina; Pinto-Gouveia, José; Duarte, Joana

    2015-03-30

    The PTSD Checklist-Military Version (PCL-M) is a brief self-report instrument widely used to assess Post-traumatic Stress Disorder (PTSD) symptomatology in war Veterans, according to DSM-IV. This study sought out to explore the factor structure and reliability of the Portuguese version of the PCL-M. A sample of 660 Portuguese Colonial War Veterans completed the PCL-M. Several Confirmatory Factor Analyses were conducted to test different structures for PCL-M PTSD symptoms. Although the respecified first-order four-factor model based on King et al.'s model showed the best fit to the data, the respecified first and second-order models based on the DSM-IV symptom clusters also presented an acceptable fit. In addition, the PCL-M showed adequate reliability. The Portuguese version of the PCL-M is thus a valid and reliable measure to assess the severity of PTSD symptoms as described in DSM-IV. Its use with Portuguese Colonial War Veterans may ease screening of possible PTSD cases, promote more suitable treatment planning, and enable monitoring of therapeutic outcomes. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

  14. Confirmatory Factor Analysis of WAIS-IV in a Clinical Sample: Examining a Bi-Factor Model

    Directory of Open Access Journals (Sweden)

    Rachel Collinson

    2016-12-01

    Full Text Available There have been a number of studies that have examined the factor structure of the Wechsler Adult Intelligence Scale IV (WAIS-IV using the standardization sample. In this study, we investigate its factor structure on a clinical neuropsychology sample of mixed aetiology. Correlated factor, higher-order and bi-factor models are all tested. Overall, the results suggest that the WAIS-IV will be suitable for use with this population.

  15. Confirmatory Factor Analysis of WAIS-IV in a Clinical Sample: Examining a Bi-Factor Model

    OpenAIRE

    Rachel Collinson; Stephen Evans; Miranda Wheeler; Don Brechin; Jenna Moffitt; Geoff Hill; Steven Muncer

    2016-01-01

    There have been a number of studies that have examined the factor structure of the Wechsler Adult Intelligence Scale IV (WAIS-IV) using the standardization sample. In this study, we investigate its factor structure on a clinical neuropsychology sample of mixed aetiology. Correlated factor, higher-order and bi-factor models are all tested. Overall, the results suggest that the WAIS-IV will be suitable for use with this population.

  16. Functional Independence Measure in Iran: A Confirmatory Factor Analysis and Evaluation of Ceiling and Floor Effects in Traumatic Brain Injury Patients

    Directory of Open Access Journals (Sweden)

    Rezaei

    2015-12-01

    Full Text Available Background The functional independence measure (FIM is one of the most important assessment instruments for motor and cognitive dependence in rehabilitation medicine; however, there is little data about its confirmatory factor analysis (CFA and ceiling/floor effects from other countries and also in Iranian patients. Objectives The aim of this study was to evaluate a two-factor model (motor and cognitive independence as latent variables and ceiling/floor effects for FIM in Iranian patients with traumatic brain injuries (TBI. Patients and Methods In this cross-sectional study, 185 subacute TBI patients were selected from emergency and neurosurgery departments of Poursina Hospital (the largest trauma hospital in northern Iran, Rasht using the consecutive sampling method and were assessed for functional independence. Results The results of this study showed that the floor effect was not observed; however, ceiling effects were observed for the FIM total score and its subscales. The confirmatory factor analysis showed that the chi-square/df ratio was 2.8 for the two-factor structure and the fit indices for this structural model including root mean square error of approximation (RMSEA = 0.099, normed fit index (NFI = 0.96, tucker lewis index (TLI = 0.97, comparative fit index (CFI = 0.97 were close to standard indices. Conclusions Although ceiling effects should be considered for rehabilitation targets, the two-factor model of FIM (motor and cognitive independence has an eligible fitness for Iranian patients with TBI.

  17. Validating the European Health Literacy Survey Questionnaire in people with type 2 diabetes: Latent trait analyses applying multidimensional Rasch modelling and confirmatory factor analysis.

    Science.gov (United States)

    Finbråten, Hanne Søberg; Pettersen, Kjell Sverre; Wilde-Larsson, Bodil; Nordström, Gun; Trollvik, Anne; Guttersrud, Øystein

    2017-11-01

    To validate the European Health Literacy Survey Questionnaire (HLS-EU-Q47) in people with type 2 diabetes mellitus. The HLS-EU-Q47 latent variable is outlined in a framework with four cognitive domains integrated in three health domains, implying 12 theoretically defined subscales. Valid and reliable health literacy measurers are crucial to effectively adapt health communication and education to individuals and groups of patients. Cross-sectional study applying confirmatory latent trait analyses. Using a paper-and-pencil self-administered approach, 388 adults responded in March 2015. The data were analysed using the Rasch methodology and confirmatory factor analysis. Response violation (response dependency) and trait violation (multidimensionality) of local independence were identified. Fitting the "multidimensional random coefficients multinomial logit" model, 1-, 3- and 12-dimensional Rasch models were applied and compared. Poor model fit and differential item functioning were present in some items, and several subscales suffered from poor targeting and low reliability. Despite multidimensional data, we did not observe any unordered response categories. Interpreting the domains as distinct but related latent dimensions, the data fit a 12-dimensional Rasch model and a 12-factor confirmatory factor model best. Therefore, the analyses did not support the estimation of one overall "health literacy score." To support the plausibility of claims based on the HLS-EU score(s), we suggest: removing the health care aspect to reduce the magnitude of multidimensionality; rejecting redundant items to avoid response dependency; adding "harder" items and applying a six-point rating scale to improve subscale targeting and reliability; and revising items to improve model fit and avoid bias owing to person factors. © 2017 John Wiley & Sons Ltd.

  18. Confirmatory Factor Analysis of the Behavior Rating Inventory of Executive Function-Adult Version in Healthy Adults and Application to Attention-Deficit/Hyperactivity Disorder

    Science.gov (United States)

    Roth, Robert M.; Lance, Charles E.; Isquith, Peter K.; Fischer, Adina S.; Giancola, Peter R.

    2013-01-01

    The Behavior Rating Inventory of Executive Function-Adult Version (BRIEF-A) is a questionnaire measure designed to assess executive functioning in everyday life. Analysis of data from the BRIEF-A standardization sample yielded a two-factor solution (labeled Behavioral Regulation and Metacognition). The present investigation employed confirmatory factor analysis (CFA) to evaluate four alternative models of the factor structure of the BRIEF-A self-report form in a sample of 524 healthy young adults. Results indicated that a three-factor model best fits the data: a Metacognition factor, a Behavioral Regulation factor consisting of the Inhibit and Self-Monitor scales, and an Emotional Regulation factor composed of the Emotional Control and Shift scales. The three factors contributed 14%, 19%, and 24% of unique variance to the model, respectively, and a second-order general factor accounted for 41% of variance overall. This three-factor solution is consistent with recent CFAs of the Parent report form of the BRIEF. Furthermore, although the Behavioral Regulation factor score in the two-factor model did not differ between adults with attention-deficit/hyperactivity disorder and a matched healthy comparison group, greater impairment on the Behavioral Regulation factor but not the Emotional Regulation factor was found using the three-factor model. Together, these findings support the multidimensional nature of executive function and the clinical relevance of a three-factor model of the BRIEF-A. PMID:23676185

  19. Problem behaviours and symptom dimensions of psychiatric disorders in adults with intellectual disabilities: An exploratory and confirmatory factor analysis.

    Science.gov (United States)

    Melville, Craig A; Johnson, Paul C D; Smiley, Elita; Simpson, Neill; Purves, David; McConnachie, Alex; Cooper, Sally-Ann

    2016-08-01

    The limited evidence on the relationship between problem behaviours and symptoms of psychiatric disorders experienced by adults with intellectual disabilities leads to conflict about diagnostic criteria and confused treatment. This study examined the relationship between problem behaviours and other psychopathology, and compared the predictive validity of dimensional and categorical models experienced by adults with intellectual disabilities. Exploratory and confirmatory factor analyses appropriate for non-continuous data were used to derive, and validate, symptom dimensions using two clinical datasets (n=457; n=274). Categorical diagnoses were derived using DC-LD. Severity and 5-year longitudinal outcome was measured using a battery of instruments. Five factors/dimensions were identified and confirmed. Problem behaviours were included in an emotion dysregulation-problem behaviour dimension that was distinct from the depressive, anxiety, organic and psychosis dimensions. The dimensional model had better predictive validity than categorical diagnosis. International classification systems should not include problem behaviours as behavioural equivalents in diagnostic criteria for depression or other psychiatric disorders. Investigating the relevance of emotional regulation to psychopathology may provide an important pathway for development of improved interventions. There is uncertainty whether new onset problem behaviours or a change in longstanding problem behaviours should be considered as symptoms of depression or other types of psychiatric disorders in adults with intellectual disabilities. The validity of previous studies was limited by the use of pre-defined, categorical diagnoses or unreliable statistical methods. This study used robust statistical modelling to examine problem behaviours within a dimensional model of symptoms. We found that problem behaviours were included in an emotional dysregulation dimension and not in the dimension that included symptoms

  20. Psychometric properties of the Spanish version of the UPPS-P Impulsive Behavior Scale: A Rasch rating scale analysis and confirmatory factor analysis.

    Science.gov (United States)

    Pilatti, Angelina; Lozano, Oscar M; Cyders, Melissa A

    2015-12-01

    The present study was aimed at determining the psychometric properties of the Spanish version of the UPPS-P Impulsive Behavior Scale in a sample of college students. Participants were 318 college students (36.2% men; mean age = 20.9 years, SD = 6.4 years). The psychometric properties of this Spanish version were analyzed using the Rasch model, and the factor structure was examined using confirmatory factor analysis. The verification of the global fit of the data showed adequate indexes for persons and items. The reliability estimates were high for both items and persons. Differential item functioning across gender was found for 23 items, which likely reflects known differences in impulsivity levels between men and women. The factor structure of the Spanish version of the UPPS-P replicates previous work with the original UPPS-P Scale. Overall, results suggest that test scores from the Spanish version of the UPPS-P show adequate psychometric properties to accurately assess the multidimensional model of impulsivity, which represents the most exhaustive measure of this construct.

  1. Confirmatory factor analysis and measurement invariance of the Child Feeding Questionnaire in low-income Hispanic and African-American mothers with preschool-age children.

    Science.gov (United States)

    Kong, Angela; Vijayasiri, Ganga; Fitzgibbon, Marian L; Schiffer, Linda A; Campbell, Richard T

    2015-07-01

    Validation work of the Child Feeding Questionnaire (CFQ) in low-income minority samples suggests a need for further conceptual refinement of this instrument. Using confirmatory factor analysis, this study evaluated 5- and 6-factor models on a large sample of African-American and Hispanic mothers with preschool-age children (n = 962). The 5-factor model included: 'perceived responsibility', 'concern about child's weight', 'restriction', 'pressure to eat', and 'monitoring' and the 6-factor model also tested 'food as a reward'. Multi-group analysis assessed measurement invariance by race/ethnicity. In the 5-factor model, two low-loading items from 'restriction' and one low-variance item from 'perceived responsibility' were dropped to achieve fit. Only removal of the low-variance item was needed to achieve fit in the 6-factor model. Invariance analyses demonstrated differences in factor loadings. This finding suggests African-American and Hispanic mothers may vary in their interpretation of some CFQ items and use of cognitive interviews could enhance item interpretation. Our results also demonstrated that 'food as a reward' is a plausible construct among a low-income minority sample and adds to the evidence that this factor resonates conceptually with parents of preschoolers; however, further testing is needed to determine the validity of this factor with older age groups.

  2. A Confirmatory Analysis of the Factor Structure and Cross-Age Invariance of the Wechsler Adult Intelligence Scale-Third Edition

    Science.gov (United States)

    Taub, Gordon E.; McGrew, Kevin S.; Witta, E. Lea

    2004-01-01

    In the Wechsler Adult Intelligence Scale-Third Edition (WAIS-III; D. Wechsler, 1997), the manual reports several confirmatory factor analyses in support of the instrument's latent factor structure. In practice, examiners frequently compare an examinee's score from a current administration of the WAIS-III with the results from a previous test…

  3. Psychometric properties of the Spanish version of the Jefferson Scale of Empathy: making sense of the total score through a second order confirmatory factor analysis.

    Science.gov (United States)

    Ferreira-Valente, Alexandra; Costa, Patrício; Elorduy, Marta; Virumbrales, Montserrat; Costa, Manuel J; Palés, Jorge

    2016-09-19

    Empathy is a key aspect of the physician-patient interactions. The Jefferson Scale of Empathy (JSE) is one of the most used empathy measures of medical students. The development of cross-cultural empathy studies depends on valid and reliable translations of the JSE. This study sought to: (1) adapt and assess the psychometric properties in Spanish students of the Spanish JSE validated in Mexican students; (2) test a second order latent factor model. The Spanish JSE was adapted from the Spanish JSE-S, resulting in a final version of the measure. A non-probabilistic sample of 1104 medical students of two Spanish medical schools completed a socio-demographic and the Spanish JSE-S. Descriptive statistics, along with a confirmatory factor analysis, the average variance extracted (AVE), Cronbach's alphas and composite reliability (CR) coefficients were computed. An independent samples t-test was performed to access sex differences. The Spanish JSE-S demonstrated acceptable to good sensitivity (individual items - except for item 2 - and JSE-S total score: -2.72 factor analysis supported the three-factor solution and the second order latent factor model. The findings provide support for the sensitivity, construct validity and reliability of the adapted Spanish JSE-S with Spanish medical students. Data confirm the hypothesized second order latent factor model. This version may be useful in future research examining empathy in Spanish medical students, as well as in cross-cultural studies.

  4. Exploratory structural equation modeling, bifactor models, and standard confirmatory factor analysis models: application to the BASC-2 Behavioral and Emotional Screening System Teacher Form.

    Science.gov (United States)

    Wiesner, Margit; Schanding, G Thomas

    2013-12-01

    Several psychological assessment instruments are based on the assumption of a general construct that is composed of multiple interrelated domains. Standard confirmatory factor analysis is often not well suited for examining the factor structure of such scales. This study used data from 1885 elementary school students (mean age=8.77 years, SD=1.47 years) to examine the factor structure of the Behavioral Assessment System for Children, Second Edition (BASC-2) Behavioral and Emotional Screening System (BESS) Teacher Form that was designed to assess general risk for emotional/behavioral difficulty among children. The modeling sequence included the relatively new exploratory structural equation modeling (ESEM) approach and bifactor models in addition to more standard techniques. Findings revealed that the factor structure of the BASC-2 BESS Teacher Form is multidimensional. Both ESEM and bifactor models showed good fit to the data. Bifactor models were preferred on conceptual grounds. Findings illuminate the hypothesis-generating power of ESEM and suggest that it might not be optimal for instruments designed to assess a predominant general factor underlying the data.

  5. A confirmatory factor analysis of the Resilience Scale adapted to chronic pain (RS-18): new empirical evidence of the protective role of resilience on pain adjustment.

    Science.gov (United States)

    Ruiz-Párraga, Gema T; López-Martínez, Alicia E; Esteve, Rosa; Ramírez-Maestre, Carmen; Wagnild, Gail

    2015-05-01

    Recent attention has focused on resilience as an important process in the experience and management of chronic pain. In this context, resilience is considered as a psychological factor that promotes adaptive responses to pain and pain-related life adversities. Current research suggests that it is a relevant variable in the prediction of pain adjustment among chronic pain patients. Recently, it was adapted the Resilience Scale to patients suffering chronic musculoskeletal pain (RS-18). The aims of this study were to confirm the internal structure of the RS-18 and to present new empirical evidence regarding its validity. A sample of 592 patients with chronic musculoskeletal back pain completed a battery of instruments to assess resilience, anxiety sensitivity, catastrophizing, fear-avoidance beliefs, hypervigilance, pain acceptance, and pain adjustment variables (pain intensity, emotional distress, functional impairment, and daily functioning). Confirmatory factor analysis supported the validity of the RS-18 and a single-factor solution. A series of moderated multiple regression analysis showed that resilience is a relevant psychological variable that not only independently predicts better pain adjustment, but also moderates the relationships between several psychological pain-related variables and pain adjustment variables. These findings give empirical support to the consideration of resilience as a protective variable in chronic pain adjustment and highlight the consideration that improving resilient behaviour could be an important target for the treatment of pain patients.

  6. Evaluating WAIS-IV structure through a different psychometric lens: structural causal model discovery as an alternative to confirmatory factor analysis.

    Science.gov (United States)

    van Dijk, Marjolein J A M; Claassen, Tom; Suwartono, Christiany; van der Veld, William M; van der Heijden, Paul T; Hendriks, Marc P H

    2017-07-20

    Since the publication of the WAIS-IV in the U.S. in 2008, efforts have been made to explore the structural validity by applying factor analysis to various samples. This study aims to achieve a more fine-grained understanding of the structure of the Dutch language version of the WAIS-IV (WAIS-IV-NL) by applying an alternative analysis based on causal modeling in addition to confirmatory factor analysis (CFA). The Bayesian Constraint-based Causal Discovery (BCCD) algorithm learns underlying network structures directly from data and assesses more complex structures than is possible with factor analysis. WAIS-IV-NL profiles of two clinical samples of 202 patients (i.e. patients with temporal lobe epilepsy and a mixed psychiatric outpatient group) were analyzed and contrasted with a matched control group (N = 202) selected from the Dutch standardization sample of the WAIS-IV-NL to investigate internal structure by means of CFA and BCCD. With CFA, the four-factor structure as proposed by Wechsler demonstrates acceptable fit in all three subsamples. However, BCCD revealed three consistent clusters (verbal comprehension, visual processing, and processing speed) in all three subsamples. The combination of Arithmetic and Digit Span as a coherent working memory factor could not be verified, and Matrix Reasoning appeared to be isolated. With BCCD, some discrepancies from the proposed four-factor structure are exemplified. Furthermore, these results fit CHC theory of intelligence more clearly. Consistent clustering patterns indicate these results are robust. The structural causal discovery approach may be helpful in better interpreting existing tests, the development of new tests, and aid in diagnostic instruments.

  7. Confirmatory factor analysis of the Patient Assessment of Constipation-Symptoms (PAC-SYM) among patients with chronic constipation

    DEFF Research Database (Denmark)

    Neri, Luca; Conway, Paul Maurice; Basilisco, Guido

    2015-01-01

    BACKGROUND AND AIM: PAC-SYM is widely adopted to asses constipation severity. However, it has been validated in a small sample, few items have been included based on expert opinion and not on empirical grounds, and its factor structure has never been replicated. We aimed at evaluating the psychom......BACKGROUND AND AIM: PAC-SYM is widely adopted to asses constipation severity. However, it has been validated in a small sample, few items have been included based on expert opinion and not on empirical grounds, and its factor structure has never been replicated. We aimed at evaluating...... the psychometric properties of PAC-SYM in patients with chronic constipation. METHODS: We enrolled 2,203 outpatients with chronic constipation in two waves. We used wave I sample to test the psychometric properties of the PAC-SYM and wave II sample to cross-validate its factor structure, to assess criterion.......28-0.45), discrimination across Rome III criteria for functional constipation and abdominal pain, and responsiveness to clinical change (β = -0.49; ω (2) = 0.25). M:PAC-SYM minimal clinically important difference was 0.24. CONCLUSION: Our analysis shows that the rectal domain may not represent a relevant cluster...

  8. A confirmatory factor analysis of the Harvard Trauma Questionnaire and the Inventory of Complicated Grief-Revised: Are we measuring complicated grief or posttraumatic stress?

    DEFF Research Database (Denmark)

    O'Connor, Maja; Lasgaard, Mathias Kamp; Shevlin, Mark

    2010-01-01

      The Inventory of Complicated Grief Revised (ICG-R) assesses symptoms of complicated grief in bereaved individuals. The aim of this study was to assess the factorial structure of Complicated Grief (CG) and investigate the relationship between CG and Posttraumatic Stress Disorder through the asse......  The Inventory of Complicated Grief Revised (ICG-R) assesses symptoms of complicated grief in bereaved individuals. The aim of this study was to assess the factorial structure of Complicated Grief (CG) and investigate the relationship between CG and Posttraumatic Stress Disorder through...... the assessment of models which combine both constructs. A secondary aim was to test the construct validity of the Danish version of ICG-R. The questionnaire was completed by respondents who were elderly and married with a history of at least one significant, interpersonal loss (145 males and 147 females, 60......-81 years). Confirmatory factor analysis (CFA) supported a two-factor model (separation distress and traumatic distress) of CG. To investigate the relationship between CG and PTSD three combined models were specified and estimated using CFA. A model where all five factors, the two factors of CG...

  9. Mapping non suicidal self-injury in adolescence: Development and confirmatory factor analysis of the Impulse, Self-harm and Suicide Ideation Questionnaire for Adolescents (ISSIQ-A).

    Science.gov (United States)

    Carvalho, Célia Barreto; Nunes, Carolina; Castilho, Paula; da Motta, Carolina; Caldeira, Suzana; Pinto-Gouveia, José

    2015-06-30

    Non-suicidal self-injury (NSSI) is the deliberate, self-inflicted destruction of body tissue without suicidal intent and an important clinical phenomenon. Rates of NSSI appear to be disproportionately high in adolescents and young adults, and is a risk factor for suicidal ideation and behavior. The present study reports the psychometric properties of the Impulse, Self-harm and Suicide Ideation Questionnaire for Adolescents (ISSIQ-A), a measure designed to comprehensively assess the impulsivity, NSSI behaviors and suicide ideation. An additional module of this questionnaire assesses the functions of NSSI. Results of Confirmatory Factor Analysis (CFA) of the scale on 1722 youths showed items' suitability and confirmed a model of four different dimensions (Impulse, Self-harm, Risk-behavior and Suicide ideation) with good fit and validity. Further analysis showed that youth׳s engagement in self-harm may exert two different functions: to create or alleviate emotional states, and to influence social relationships. Our findings contribute to research and assessment on non-suicidal self-injury, suggesting that the ISSIQ-A is a valid and reliable measure to assess impulse, self-harm and suicidal thoughts, in adolescence.

  10. What Does the Shipley-2 Measure for Children and Adolescents? Integrated and Conjoint Confirmatory Factor Analysis With the WISC-IV.

    Science.gov (United States)

    Reynolds, Matthew R; Hajovsky, Daniel B; Pace, Jesse R; Niileksela, Christopher R

    2016-02-01

    We used integrated and conjoint confirmatory factor analysis of Shipley-2 and Wechsler Intelligence Scale for Children-Fourth Edition (WISC-IV) data to investigate constructs measured in the Shipley-2 for children and adolescents. We also estimated Shipley-2 composite reliability at the subtest level rather than the item level. The three Shipley-2 subtests for the most part measured what was described in the manual, although Block Patterns measured visual spatial ability in addition to fluid ability and Abstraction was best considered a measure of psychometric g. The g factors derived from the WISC-IV and Shipley-2 were similar but not identical. Internal reliability estimates for Shipley-2 composites that were based on correlations between the subtests were substantially lower than those based on the items. Last, based on WISC-IV derived g factors, 37% to 53% of the variance in Shipley-2 composites was explained by g. Some of the reliable variance in the Shipley-2 composites was due to something specific that the subtests had in common not explained by psychometric g. © The Author(s) 2015.

  11. Statistics Related Self-Efficacy A Confirmatory Factor Analysis Demonstrating a Significant Link to Prior Mathematics Experiences for Graduate Level Students

    Directory of Open Access Journals (Sweden)

    Karen Larwin

    2014-02-01

    Full Text Available The present study examined students' statistics-related self-efficacy, as measured with the current statistics self-efficacy (CSSE inventory developed by Finney and Schraw (2003. Structural equation modeling was used to check the confirmatory factor analysis of the one-dimensional factor of CSSE. Once confirmed, this factor was used to test whether a significant link to prior mathematics experiences exists. Additionally a new post-structural equation modeling (SEM application was employed to compute error-free latent variable score for CSSE in an effort to examine the ancillary effects of gender, age, ethnicity, department, degree level, hours completed, expected course grade, number of college-level math classes, current GPA on students' CSSE scores. Results support the one-dimensional construct and as expected, the model demonstrated a significant link between CSSE scores and prior mathematics experiences to CSSE. Additionally the students' department, expected grade, and number of prior math classes were found to have a significant effect on student's CSSE scores.

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

    Science.gov (United States)

    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…

  13. Orthogonal Higher Order Structure and Confirmatory Factor Analysis of the French Wechsler Adult Intelligence Scale (WAIS-III)

    Science.gov (United States)

    Golay, Philippe; Lecerf, Thierry

    2011-01-01

    According to the most widely accepted Cattell-Horn-Carroll (CHC) model of intelligence measurement, each subtest score of the Wechsler Intelligence Scale for Adults (3rd ed.; WAIS-III) should reflect both 1st- and 2nd-order factors (i.e., 4 or 5 broad abilities and 1 general factor). To disentangle the contribution of each factor, we applied a…

  14. Components of quality of life in a sample of patients with lupus: a confirmatory factor analysis and Rasch modeling of the LupusQoL.

    Science.gov (United States)

    Meseguer-Henarejos, Ana-Belén; Gascón-Cánovas, Juan-José; López-Pina, José-Antonio

    2017-08-01

    The objective of this study was to test different exploratory solutions to the LupusQoL scale in a sample of Spanish patients with SLE using confirmatory factor analysis (CFA) and Rasch modeling, as well as to estimate the convergent validity. The χ (2) test, RMSEA, CFI, and TLI were used to test the fit of the different exploratory structures with CFA. To estimate the parameters in the dimensions found, a rating scale Rasch multidimensional random coefficient multinomial logit model was used. The reliability of the scores was obtained with coefficient alpha and coefficient omega. The convergent validity was calculated using Spearman's rho. Four hundred and fifty patients participated but complete data were available for 223 subjects. The original version (UK) and the French version obtained the best fit, showing that the proposed original structure was the best solution for the structure of the LupusQoL scale in the Spanish sample. The multidimensional solution of eight dimensions was adequate, but item 8 in physical health, item 16 in intimate relations, and items 29 and 30 obtained mean squares >1.6. Internal consistency and coefficient omega of the scores in the eight domains were higher. The Spanish version of LupusQoL correlated strongly with the corresponding SLAQ, EQ5D analogic scale, and EQ5D domain. This analysis confirmed the structure of eight dimensions of the original version in patients with SLE.

  15. Confirmatory Factor Analysis of the M5-50: An Implementation of the International Personality Item Pool Item Set

    Science.gov (United States)

    Socha, Alan; Cooper, Christopher A.; McCord, David M.

    2010-01-01

    Goldberg's International Personality Item Pool (IPIP; Goldberg, 1999) provides researchers with public-domain, free-access personality measurement scales that are proxies of well-established published scales. One of the more commonly used IPIP sets employs 50 items to measure the 5 broad domains of the 5-factor model, with 10 items per factor. The…

  16. Dietary Patterns Derived Using Exploratory and Confirmatory Factor Analysis are Stable and Generalizable Across Race, Region, and Gender Subgroups in the REGARDS Study

    Science.gov (United States)

    Judd, Suzanne E.; Letter, Abraham J.; Shikany, James M.; Roth, David L.; Newby, P. K.

    2015-01-01

    Background: Examining diet as a whole using dietary patterns as exposures is a complementary method to using single food or nutrients in studies of diet and disease, but the generalizability of intake patterns across race, region, and gender in the United States has not been established. Objective: To employ rigorous statistical analysis to empirically derive dietary patterns in a large bi-racial, geographically diverse population and examine whether results are stable across population subgroups. Design: The present analysis utilized data from 21,636 participants in the Reasons for Geographic and Racial Differences in Stroke (REGARDS) study who completed the Block 98 food frequency questionnaire. We employed exploratory factor analysis and confirmatory factor analyses on 56 different food groups iteratively and examined differences by race, region, and sex to determine the optimal factor solution in our sample. Results: Five dietary patterns emerged: the “Convenience” pattern was characterized by mixed dishes; the “Plant-based” pattern by fruits, vegetables, and fish; the “Sweets/Fats” pattern by sweet snacks, desserts, and fats and oils; the “Southern” pattern by fried foods, organ meat, and sweetened beverages; and the “Alcohol/Salads” pattern by beer, wine, liquor, and salads. Differences were most pronounced in the Southern pattern with black participants, those residing in the Southeast, and participants not completing high school having the highest scores. Conclusion: Five meaningful dietary patterns emerged in the REGARDS study and showed strong congruence across race, sex, and region. Future research will examine associations between these patterns and health outcomes to better understand racial disparities in disease and inform prevention efforts. PMID:25988129

  17. A Confirmatory Factor Analysis of the Spanish Language Version of the Attitudes Toward Lesbians and Gay Men (ATLG Measure

    Directory of Open Access Journals (Sweden)

    Jaime Eduardo Barrientos Delgado

    2012-06-01

    Full Text Available This paper intends to validate the Attitudes toward Lesbians and Gay Men Scale (Herek, 1988. The starting point is the five dimensions reported in previous studies (Cárdenas & Barrientos, 2008. No research has confirmed the hypothesized ATLG factor structure with a Spanish-language sample. This study tested three factor structures, results indicating that the two- factor second-order model provides the best description of ATLG items. Additionally, psychometric properties were examined using a sample of 518 college students. ATLG proved reliable (α = 0.93 and valid for Chilean population.

  18. Empirical evidence for a four factor framework of personality disorder organization: multigroup confirmatory factor analysis of the Millon Clinical Multiaxial Inventory-III personality disorder scales across Belgian and Danish data samples.

    Science.gov (United States)

    Rossi, Gina; Elklit, Ask; Simonsen, Erik

    2010-02-01

    The factor structure of the Millon Clinical Multiaxial Inventory-III (Millon, Millon, Davis, & Grossman, 2006) personality disorder scales was analyzed using multigroup confirmatory factor analysis on data obtained from a Danish (N = 2030) and a Belgian (N = 1210) sample. Two-, three-, and four factor models, a priori specified using structures found by Dyce, O'Connor, Parkins, and Janzen (1997), were fitted to the data. The best fitting model was a four factor structure (RMSEA = .066, GFI = .98, CFI = .93) with partially invariant factor loadings. The robustness of this four-factor model clearly supports the efforts to organize future personality disorder description in a four-factor framework by corroborating four domains that were predominant in dimensional models (Widiger & Simonsen, 2005): Factor 1, 2, 3, and 4 respectively corresponded to emotional dysregulation versus stability, antagonism versus compliance, extraversion versus introversion, and constraint versus impulsivity.

  19. Testing the measurement invariance of the EORTC QLQ-C30 across primary cancer sites using multi-group confirmatory factor analysis.

    Science.gov (United States)

    Costa, D S J; Aaronson, N K; Fayers, P M; Pallant, J F; Velikova, G; King, M T

    2015-01-01

    The EORTC Quality of Life Questionnaire is a widely used cancer-specific quality of life instrument comprising a core set of 30 items (QLQ-C30) supplemented by cancer site-specific modules. The purpose of this paper was to examine the extent to which the conventional multi-item domain structure of the QLQ-C30 holds across patients with seven different primary cancer sites. Multi-group confirmatory factor analysis was used to test whether a measurement model of the QLQ-C30 was invariant across cancer sites. Configural (same patterns of factor loadings), metric (equivalence of factor loadings) and scalar (equivalence of thresholds) invariance amongst the cancer site groups were assessed (N = 1,906) by comparing the fit of a model with these parameters freely estimated to a model where estimates were constrained to be equal for the corresponding items in each group. All groups exhibited good model fit except for the prostate group, which was excluded. Only 1 of 576 parameters was found to differ between primary sites: specifically, the first threshold of Item 1 in the breast cancer group exhibited non-invariance. In a post hoc analysis, several instances of non-invariance by treatment status (baseline, on-treatment, off-treatment) were observed. Given only one instance of non-invariance between cancer sites, there is a reason to be confident in the validity of conclusions drawn when comparing QLQ-C30 domain scores between different sites and when interpreting the scores of heterogeneous samples, although future research should assess the potential impact of confounding variables such as treatment and gender.

  20. A Confirmatory Factor Analysis of Home Environment and Home Social Behavior Data from the Elementary School Success Profile for Families

    Science.gov (United States)

    Wegmann, Kate M.; Thompson, Aaron M.; Bowen, Natasha K.

    2011-01-01

    The purpose of the current study was to test the factor structure and scale quality of data provided by caregivers about the home environment and child behavior at home using the Elementary School Success Profile (ESSP) for Families. The ESSP for Families is one component of the ESSP, an online social-environmental assessment that also collects…

  1. Posttraumatic Stress Disorder Symptom Structure in Injured Children: Functional Impairment and Depression Symptoms in a Confirmatory Factor Analysis

    Science.gov (United States)

    Kassam-Adams, Nancy; Marsac, Meghan L.; Cirilli, Carla

    2010-01-01

    Objective: To examine the factor structure of posttraumatic stress disorder (PTSD) symptoms in children and adolescents who have experienced an acute single-incident trauma, associations between PTSD symptom clusters and functional impairment, and the specificity of PTSD symptoms in relation to depression and general distress. Method: Examined…

  2. Confirmatory Factor Analysis of the PKBS-2 Subscales for Assessing Social Skills and Behavioral Problems in Preschool Education

    Science.gov (United States)

    Fernandez, Maria; Benitez, Juan L.; Pichardo, M. Carmen; Fernandez, Eduardo; Justicia, Fernando; Garcia, Trinidad; Garcia-Berben, Ana; Justicia, Ana; Alba, Guadalupe

    2010-01-01

    Introduction: Different research studies point out the importance of social competence as a protective factor against antisocial behavior. They likewise alert us of the importance of having valid, reliable instruments that measure these constructs in early childhood. Method: The objective of this research is to validate the subscales of the…

  3. Test anxiety and the validity of cognitive tests: A confirmatory factor analysis perspective and some empirical findings

    NARCIS (Netherlands)

    Wicherts, J.M.; Zand Scholten, A.

    2010-01-01

    The validity of cognitive ability tests is often interpreted solely as a function of the cognitive abilities that these tests are supposed to measure, but other factors may be at play. The effects of test anxiety on the criterion related validity (CRV) of tests was the topic of a recent study by Ree

  4. Test Anxiety and the Validity of Cognitive Tests: A Confirmatory Factor Analysis Perspective and Some Empirical Findings

    Science.gov (United States)

    Wicherts, Jelte M.; Scholten, Annemarie Zand

    2010-01-01

    The validity of cognitive ability tests is often interpreted solely as a function of the cognitive abilities that these tests are supposed to measure, but other factors may be at play. The effects of test anxiety on the criterion related validity (CRV) of tests was the topic of a recent study by Reeve, Heggestad, and Lievens (2009) (Reeve, C. L.,…

  5. Confirmatory Factor Analysis of the PKBS-2 Subscales for Assessing Social Skills and Behavioral Problems in Preschool Education

    Science.gov (United States)

    Fernandez, Maria; Benitez, Juan L.; Pichardo, M. Carmen; Fernandez, Eduardo; Justicia, Fernando; Garcia, Trinidad; Garcia-Berben, Ana; Justicia, Ana; Alba, Guadalupe

    2010-01-01

    Introduction: Different research studies point out the importance of social competence as a protective factor against antisocial behavior. They likewise alert us of the importance of having valid, reliable instruments that measure these constructs in early childhood. Method: The objective of this research is to validate the subscales of the…

  6. Confirmatory Factor Analysis of the "Preschool Behavioral and Emotional Rating Scale" (PreBERS) with Preschool Children with Disabilities

    Science.gov (United States)

    Cress, Cynthia J.; Synhorst, Lori; Epstein, Michael H.; Allen, Elizabeth

    2012-01-01

    The "Preschool Behavioral and Emotional Rating Scale" (PreBERS) is a standardized, norm-referenced instrument that assesses emotional and behavioral strengths of preschool children. This study investigated whether the PreBERS four-factor structure (i.e., emotional regulation, school readiness, social confidence, and family involvement)…

  7. Confirmatory Factor Analysis of the Behavioral and Emotional Rating Scale-2 (BERS-2) Parent and Youth Rating Scales

    Science.gov (United States)

    Buckley, Jacquelyn A.; Ryser, Gail; Reid, Robert; Epstein, Michael H.

    2006-01-01

    We confirmed the factor structure of the Behavioral and Emotional Rating Scale-2nd Edition (BERS-2) with a normative parent and youth sample. The BERS-2, based on the Behavioral and Emotional Rating Scale (BERS), is a standardized instrument that assesses children's emotional and behavioral strengths. The original BERS was renormed to create a…

  8. Attitude toward Science Teaching of Spanish and Turkish In-Service Elementary Teachers: Multi-Group Confirmatory Factor Analysis

    Science.gov (United States)

    Korur, Fikret; Vargas, Rocío Vargas; Torres Serrano, Noemí

    2016-01-01

    Elementary school teachers' having a positive attitude toward science teaching might encourage students to develop positive attitudes toward science learning. This cross-cultural study aimed to validate the seven-factor structure of the Dimensions of Attitude toward Science (DAS) scale by applying it in two countries. Moreover, it aimed to…

  9. The Fear of Pain Questionnaire-III and the Fear of Pain Questionnaire-Short Form: a confirmatory factor analysis

    DEFF Research Database (Denmark)

    Vambheim, Sara M.; Lyby, Peter Solvoll; Aslaksen, Per M.

    2017-01-01

    Background: The Fear of Pain Questionnaire-III (FPQ-III) is a widely used instrument to assess the fear of pain (FOP) in clinical and nonclinical samples. The FPQ-III has 30 items and is divided into three subscales: Severe Pain, Minor Pain and Medical Pain. Due to findings of poor fit...... of the original three-factor FPQ-III model, the Fear of Pain Questionnaire-Short Form (FPQ-SF) four-factor model has been suggested as an alternative. The FPQ-SF is a revised version of the FPQ-III, reduced to 20 items and subdivided into four subscales: Severe Pain, Minor Pain, Injection Pain and Dental Pain...

  10. The beliefs about paranoia scale: confirmatory factor analysis and tests of a metacognitive model of paranoia in a clinical sample

    OpenAIRE

    Murphy, Elizabeth K.; Tully, Sarah; Pyle, Melissa; Gumley, Andrew I.; Kingdon, David; Schwannauer, Matthias; Turkington, Douglas; Morrison, Anthony P.

    2017-01-01

    This study aimed to confirm the factor structure of the Beliefs about Paranoia Scale (BaPS), a self-report measure to assess metacognitive beliefs about paranoia, and to test hypotheses of a metacognitive model. We hypothesised that positive and negative beliefs about paranoia would be associated with severity of suspiciousness, and that the co-occurrence of positive and negative beliefs would be associated with increased suspiciousness. A total of 335 patients meeting criteria for a schizoph...

  11. Confirmatory factor analysis of the Spanish version of the Gamblers' Beliefs Questionnaire in a sample of Argentinean gamblers

    Directory of Open Access Journals (Sweden)

    Angelina Pilatti

    2016-12-01

    Full Text Available Introduction: Cognitive distortions are related to gambling frequency and gambling severity. Having a culturally sensitive measure to assess cognitive distortions will facilitate the early detection of people who might be at risk of developing problematic gambling behaviors. The Gamblers' Beliefs Questionnaire was translated into Spanish (GBQ-S but no previous study explored the structure of the GBQ-S in a non-US sample with different levels of gambling involvement. Aim: The present study examined the factor structure of the GBQ-S in a community sample of gamblers from Argentina. It also analyzed the association between cognitive distortions and type of gambling activity and frequency of gambling behaviors and the predictive utility of the GBQ-S on gambling severity. Participants: 508 youth and adults completed the GBQ-S. Results: The CFA showed an overall acceptable fit to the data confirming the proposed two-factor model. Scores of the two GBQ sub-scales were positively and significantly correlated with scores on gambling severity. Cognitive distortions have a significant effect on gambling severity after controlling for frequency of engagement in gambling activities. Luck and perseverance, but not illusion of control, was positively related to gambling severity. Discussion: scores measured by the GBQ-S exhibit adequate psychometric properties for the accurate assessment of cognitive distortions across adults and youth from the general community of Argentina.

  12. Behavior Intention To Use Of Learning Management System Among Malaysian Pre-Service Teachers: A Confirmatory Factor Analysis

    Directory of Open Access Journals (Sweden)

    Sousan Baleghi-Zadeh

    2014-01-01

    Full Text Available Learning Management system is a type of Information system that many universities invest on to be integrated with their curriculum. Therefore, factors which make students accept or reject Learning Management System is crucial for educational managers of universities. The main purpose of the present study is to modify and validate a measurement model based on two models of Technology Acceptance Model and Fit Model. The proposed measurement model included five constructs of perceived ease of use, perceived usefulness, behavior intention to use, technical support and task-technology fit. The sample size of the study was 300 pre-service teachers studying at Universiti Putra Malaysia (UPM and Universiti of Malaya (UM. The results of the study revealed that after deleting eleven items, the proposed measurement model was validated and fit. Therefore, the modified measurement model was able to present the theoretical patterns of the actual data.

  13. Child behaviors associated with childhood obesity and parents' self-efficacy to handle them: confirmatory factor analysis of the Lifestyle Behavior Checklist.

    Science.gov (United States)

    Ek, Anna; Sorjonen, Kimmo; Nyman, Jonna; Marcus, Claude; Nowicka, Paulina

    2015-03-11

    The development of family-based programs for child weight management requires an understanding of parents' difficulties in managing children's eating and physical activity behaviors; however, knowledge about the specific behaviors that parents find most difficult to address is still limited. The Lifestyle Behavior Checklist (LBC) is an Australian instrument that assesses parents' perceptions of children's obesity-related behaviors (the Problem scale), and parents' self-efficacy in dealing with these behaviors (the Confidence scale). Our aims were 1) to examine the psychometric properties (the factor structure, internal reliability, construct and discriminative validity) of the LBC in parents of preschoolers in Sweden, using the Child Feeding Questionnaire (CFQ) as a criterion measure, 2) to study associations between the LBC and socio-demographic factors. The LBC and the CFQ (measuring parental feeding practices) were distributed to parents from 25 schools/preschools and to parents starting a childhood obesity intervention. To test the fit of the original four-factor model (misbehavior in relation to food, overeating, emotional correlates of being overweight, physical activity (24 items)) to the data, confirmatory factor analysis (CFA) was performed. Structural equation modelling was used to examine associations between the LBC and the CFQ and socio-demographic factors. In a sample of 478 parents, a five-factor structure proved best fit to data, after excluding 6 items and allowing two pairs of error terms to correlate (TLI = 0.899; CFI = 0.918; RMSEA = 0.042; SRMR = 0.055). The Confidence scale indicated unidimensionality, therefore a hierarchical CFA with 5 first order factors and one second order factor was tested showing good fit. The validity of the LBC was proven by relevant associations with the CFQ and child weight status; parental responses differed depending on child weight status. The Confidence scale was not associated with any child or

  14. Multigroup confirmatory factor analysis of U.S. and Italian children's performance on the PASS theory of intelligence as measured by the Cognitive Assessment System.

    Science.gov (United States)

    Naglieri, Jack A; Taddei, Stefano; Williams, Kevin M

    2013-03-01

    This study examined Italian and U.S. children's performance on the English and Italian versions, respectively, of the Cognitive Assessment System (CAS; Naglieri & Conway, 2009; Naglieri & Das, 1997), a test based on a neurocognitive theory of intelligence entitled PASS (Planning, Attention, Simultaneous, and Successive; Naglieri & Das, 1997; Naglieri & Otero, 2011). CAS subtest, PASS scales, and Full Scale scores for Italian (N=809) and U.S. (N=1,174) samples, matched by age and gender, were examined. Multigroup confirmatory factor analysis results supported the configural invariance of the CAS factor structure between Italians and Americans for the 5- to 7-year-old (root-mean-square error of approximation [RMSEA]=.038; 90% confidence interval [CI]=.033, .043; comparative fit index [CFI]=.96) and 8- to 18-year-old (RMSEA=.036; 90% CI=.028, .043; CFI=.97) age groups. The Full Scale standard scores (using the U.S. norms) for the Italian (100.9) and U.S. (100.5) samples were nearly identical. The scores between the samples for the PASS scales were very similar, except for the Attention Scale (d=0.26), where the Italian sample's mean score was slightly higher. Negligible mean differences were found for 9 of the 13 subtest scores, 3 showed small d-ratios (2 in favor of the Italian sample), and 1 was large (in favor of the U.S. sample), but some differences in subtest variances were found. These findings suggest that the PASS theory, as measured by CAS, yields similar mean scores and showed factorial invariance for these samples of Italian and American children, who differ on cultural and linguistic characteristics. PsycINFO Database Record (c) 2013 APA, all rights reserved.

  15. [Confirmatory factor analysis of the short French version of the Center for Epidemiological Studies of Depression Scale (CES-D10) in adolescents].

    Science.gov (United States)

    Cartierre, N; Coulon, N; Demerval, R

    2011-09-01

    Screening depressivity among adolescents is a key public health priority. In order to measure the severity of depressive symptomatology, a four-dimensional 20 items scale called "Center for Epidemiological Studies-Depression Scale" (CES-D) was developed. A shorter 10-item version was developed and validated (Andresen et al.). For this brief version, several authors supported a two-factor structure - Negative and Positive affect - but the relationship between the two reversed-worded items of the Positive affect factor could be better accounted for by correlated errors. The aim of this study is triple: firstly to test a French version of the CES-D10 among adolescents; secondly to test the relevance of a one-dimensional structure by considering error correlation for Positive affect items; finally to examine the extent to which this structural model is invariant across gender. The sample was composed of 269 French middle school adolescents (139 girls and 130 boys, mean age: 13.8, SD=0.65). Confirmatory Factorial Analyses (CFA) using the LISREL 8.52 were conducted in order to assess the adjustment to the data of three factor models: a one-factor model, a two-factor model (Positive and Negative affect) and a one-factor model with specification of correlated errors between the two reverse-worded items. Then, multigroup analysis was conducted to test the scale invariance for girls and boys. Internal consistency of the CES-D10 was satisfying for the adolescent sample (α=0.75). The best fitting model is the one-factor model with correlated errors between the two items of the previous Positive affect factor (χ(2)/dl=2.50; GFI=0.939; CFI=0.894; RMSEA=0.076). This model presented a better statistical fit to the data than the one-factor model without error correlation: χ(2)(diff) (1)=22.14, pfactor model with correlated errors was analyzed across separate samples of girls and boys. The model explains the data somewhat better for boys than for girls. The model's overall χ(2

  16. Appraisal of a specific scale for quality of life (AlQoL-9) in Greek alcohol dependent individuals attending: A confirmatory factor analysis.

    Science.gov (United States)

    Pappa, A S; Ginieri-Coccossis, M; Richardson, C; Charalampi, A; Liappas, I A; Paparrigopoulos, Th

    2016-01-01

    Αlcohol abuse/dependence seriously affects quality of life (QoL). The AlQoL-9 scale, derived from the generic instrument SF-36, is the only instrument in the international literature which is specific as a measure of QoL for alcohol-dependent patients. It can provide health carers with valuable information regarding the needs of alcoholic individuals and the effects of therapeutic interventions. The aim of this study was to assess the psychometric properties of the Greek version of AlQoL-9 taking as a basis the research on the original French and English versions. A sample of 170 participants (118 males, 52 females) aged 24-74 years (mean age=48.2 years, SD=9.6) recruited from inpatient and outpatient detoxification units in different regions of Greece completed the AlQoL-9 questionnaire and the World Health Organization Quality of Life Assessment - short version (WHOQOL-BREF). The internal structure of the AlQoL-9 questionnaire was examined using confirmatory factor analysis (CFA). The associations of AlQoL-9 with sociodemographic and clinical variables were examined. The correlation coefficients between AlQoL-9 and scores on the domains of the WHOQOL-BREF questionnaire were computed as an indication of convergent validity. The average inter-item correlation between the AlQoL-9 items was 0.403. CFA supported a single factor underlying the AlQoL-9 items. Cronbach's alpha for the Greek version of the scale showed high internal consistency, 0.837, and could not be improved by omitting any item. The AlQoL-9 score showed significant associations with gender (mean 29.2, SD=6.2 for males; mean 26.1, SD=7.2 for females: p=0.004) and with comorbidity (mean 25.7, SD=7.8 with comorbidity, mean 29.5, SD=5.8 without: p=0.001). The AlQoL-9 score was significantly correlated (pGreek version of the AlQoL-9 constitutes a valid and reliable single-factor research instrument for evaluating quality of life among alcohol-dependent individuals. It is recommended to be used in

  17. Psychometric properties of the SDM-Q-9 questionnaire for shared decision-making in multiple sclerosis: item response theory modelling and confirmatory factor analysis.

    Science.gov (United States)

    Ballesteros, Javier; Moral, Ester; Brieva, Luis; Ruiz-Beato, Elena; Prefasi, Daniel; Maurino, Jorge

    2017-04-22

    Shared decision-making is a cornerstone of patient-centred care. The 9-item Shared Decision-Making Questionnaire (SDM-Q-9) is a brief self-assessment tool for measuring patients' perceived level of involvement in decision-making related to their own treatment and care. Information related to the psychometric properties of the SDM-Q-9 for multiple sclerosis (MS) patients is limited. The objective of this study was to assess the performance of the items composing the SDM-Q-9 and its dimensional structure in patients with relapsing-remitting MS. A non-interventional, cross-sectional study in adult patients with relapsing-remitting MS was conducted in 17 MS units throughout Spain. A nonparametric item response theory (IRT) analysis was used to assess the latent construct and dimensional structure underlying the observed responses. A parametric IRT model, General Partial Credit Model, was fitted to obtain estimates of the relationship between the latent construct and item characteristics. The unidimensionality of the SDM-Q-9 instrument was assessed by confirmatory factor analysis. A total of 221 patients were studied (mean age = 42.1 ± 9.9 years, 68.3% female). Median Expanded Disability Status Scale score was 2.5 ± 1.5. Most patients reported taking part in each step of the decision-making process. Internal reliability of the instrument was high (Cronbach's α = 0.91) and the overall scale scalability score was 0.57, indicative of a strong scale. All items, except for the item 1, showed scalability indices higher than 0.30. Four items (items 6 through to 9) conveyed more than half of the SDM-Q-9 overall information (67.3%). The SDM-Q-9 was a good fit for a unidimensional latent structure (comparative fit index = 0.98, root-mean-square error of approximation = 0.07). All freely estimated parameters were statistically significant (P 0.40) with the exception of item 1 which presented the lowest loading (0.26). Items 6 through to 8 were the

  18. Exploratory and confirmatory factor analyses of the pervasive developmental disorders rating scale for young children with autistic disorder.

    Science.gov (United States)

    Eaves, Ronald C; Williams, Thomas O

    2006-03-01

    In this study, the authors examined the construct validity of the Pervasive Developmental Disorder Rating Scale (PDDRS; R. C. Eaves, 1993), which is a screening instrument used to identify individuals with autistic disorder and other pervasive developmental disorders. The PDDRS is purported to measure 3 factors--arousal, affect, and cognition-that collectively make up the construct of autism. Using scores from 199 children (aged 1-6 years) diagnosed with autistic disorder, the authors submitted data to exploratory and confirmatory factor analyses. In the 1st series of analyses, the authors analyzed a user-specified 3-factor solution using principal axis factor analysis with a promax rotation to evaluate the assertion of a correlated 3-factor structure. Next, the authors analyzed 1-factor and 2-factor solutions to determine if they provided a better factor structure for the data. In the 2nd series, the authors conducted confirmatory factor analyses, which compared the theorized hierarchical 2nd-order factor model with 5 plausible competing models. The results of the exploratory analyses supported the 3-factor solution. With the confirmatory analyses, the 2nd-order factor model provided the best fit for the data. The exploratory and confirmatory analyses supported the theoretical assumptions undergirding the development of the PDDRS. The authors discuss theoretical implications, practical implications, and areas for further research.

  19. Linear Confirmatory Factor Models To Evaluate Multitrait-Multimethod Matrices: The Effects of Number of Indicators and Correlation among Methods.

    Science.gov (United States)

    Tomas, Jose M.; Hontangas, Pedro M.; Oliver, Amparo

    2000-01-01

    Assessed two models for confirmatory factor analysis of multitrait-multimethod data through Monte Carlo simulation. The correlated traits-correlated methods (CTCM) and the correlated traits-correlated uniqueness (CTCU) models were compared. Results suggest that CTCU is a good alternative to CTCM in the typical multitrait-multimethod matrix, but…

  20. Factorial invariance of child self-report across healthy and chronic health condition groups: a confirmatory factor analysis utilizing the PedsQLTM 4.0 Generic Core Scales.

    Science.gov (United States)

    Limbers, Christine A; Newman, Daniel A; Varni, James W

    2008-07-01

    The objective of the present study was to examine the factorial invariance of the PedsQL 4.0 Generic Core Scales for child self-report across 11,433 children ages 5-18 with chronic health conditions and healthy children. Multigroup Confirmatory Factor Analysis was performed specifying a five-factor model. Two multigroup structural equation models, one with constrained parameters and the other with unconstrained parameters, were proposed in order to compare the factor loadings across children with chronic health conditions and healthy children. Metric invariance (i.e., equal factor loadings) was demonstrated based on stability of the Comparative Fit Index (CFI) between the two models, and several additional indices of practical fit including the root mean squared error of approximation, the Non-normed Fit Index, and the Parsimony Normed Fit Index. The findings support an equivalent five-factor structure on the PedsQL 4.0 Generic Core Scales across healthy and chronic health condition groups. These findings suggest that when differences are found across chronic health condition and healthy groups when utilizing the PedsQL, these differences are more likely real differences in self-perceived health-related quality of life, rather than differences in interpretation of the PedsQL items as a function of health status.

  1. Pre-drinking motives in Canadian undergraduate students: Confirmatory factor analysis of the Prepartying Motivations Inventory and examination of new themes.

    Science.gov (United States)

    O'Neil, Ashlyne I; Lafreniere, Kathryn D; Jackson, Dennis L

    2016-09-01

    Pre-drinking is a risky, yet common activity among college students whereby they consume alcohol prior to going to an event where more alcohol may be consumed (LaBrie, Hummer, Pederson, Lac, & Chithambo, 2012). While general drinking motives have been studied extensively, attention to pre-drinking is recent, and deserves more attention. This study assessed the reliability, validity, and factor structure of the Prepartying Motivations Inventory (PMI), and identified novel motivations through a thematic analysis. A sample of 276 Canadian undergraduate students completed an online survey consisting of open-ended questions, drinking and pre-drinking questions, the PMI, and a brief demographic questionnaire. It was demonstrated that a four-factor model, similar to that of the initial PMI, fits well, but that improvements are made by eliminating an item related to being under the legal drinking age. Further, five new themes emerged that warrant further investigation, and possible inclusion in the current PMI. Findings suggest that the PMI could be refined to further understand students' motivations for pre-drinking, and might inform alcohol intervention programs on post-secondary campuses. Copyright © 2016 Elsevier Ltd. All rights reserved.

  2. Assessing Stability and Change in a Second-Order Confirmatory Factor Model of Meaning in Life.

    Science.gov (United States)

    Krause, Neal; Hayward, R David

    2014-04-01

    Research indicates that meaning in life is an important correlate of health and well-being. However, relatively little is known about the way a sense of meaning may change over time. The purpose of this study is to explore two ways of assessing change in meaning within a second-order confirmatory factor analysis framework. First, tests are conducted to see if the first and second-order factor loadings and measurement error terms are invariant over time. Second, a largely overlooked technique is used to assess change and stability in meaning at the second-order level. Findings from a nationwide survey reveal that the first and second-order factor loadings are invariant of time. Moreover, the second-order measurement error terms, but not the first-order measurement error terms, are invariant, as well. The results further reveal that standard ways of assessing stability mask significant change in meaning that is due largely to regression to the mean.

  3. Confirmatory Factor Analysis of Patient Safety Culture in an Iranian Hospital: A Case Study of Fatemeh Zahra Hospital in Najafabad, Iran

    Directory of Open Access Journals (Sweden)

    Mohammadkarim Bahadori

    2016-04-01

    Full Text Available Introduction: Transformation of patient safety culture towards developing an open culture can be the greatest challenge for achieving a safe healthcare system. This study aimed to carry out a structural analysis of the Persian translation version of a questionnaire assessing patient safety culture. Materials and Methods: The study was conducted to evaluate the Persian translation of patient safety culture questionnaire, developed by the National Patient Safety Agency. The questionnaire includes seven sections and 43 items investigating 12 dimensions of patient safety culture. The reliability of this questionnaire was confirmed with Cronbach's alpha (α>0.8. The questionnaire was distributed among employees of the Fatemeh Zahra Hospital in Najafabad, Iran, 2015. The collected data were analyzed using SPSS 18 and Amos 18. Results: Sufficiency of the sample size, as determined by Kaiser-Meyer-Olkin measure, was 0.809, which was significantly associated with zero; therefore, performing factor analysis was acceptable and justifiable. The value of Bartlett's test was 696, P-value was less than 0.001, and degree of freedom was equal to 91. In the final model, the relative Chi-square was equal to 1.75 and P-value was less than 0.001. Also, parsimony normed fit index, parsimony-adjusted comparative fit index, and root mean square error of approximation were equal to 0.571, 0.621, and 0.065, respectively. Conclusion: Based on the results of fitting indices for the model and the questionnaire used in the present study for assessing patient safety culture, it can be stated that the Persian translation of this instrument is valid and hospitals can use it to monitor patient safety culture improvement.

  4. Dimensionality of the Chinese Dyadic Adjustment Scale Based on Confirmatory Factor Analyses

    Science.gov (United States)

    Shek, Daniel T. L.; Cheung, C. K.

    2008-01-01

    Based on the responses of 1,501 Chinese married adults to the Chinese version of the Dyadic Adjustment Scale (C-DAS), confirmatory factor analyses showed that four factors were abstracted from the C-DAS (Dyadic Consensus, Dyadic Cohesion, Dyadic Satisfaction and Affectional Expression) and these four primary factors were subsumed under a…

  5. Distinguishing affective and somatic dimensions of pain and depression: a confirmatory factor analytic study.

    Science.gov (United States)

    Lerman, Sheera F; Rudich, Zvia; Shahar, Golan

    2010-04-01

    In this study, we examined the overlap between pain and depression in a sample of 342 chronic pain patients treated at a specialty pain clinic. Confirmatory factor analysis was conducted to test the differentiation of pain and depression measured as latent factors derived from the subscales of the Short Form McGill Pain Questionnaire and the Center for Epidemiological Studies Depression Scale. The affective pain subscale did not load on latent depression and the somatic depression subscale loaded weakly on latent pain. Although pain and depression are linked, we found that affective pain is distinct from depression, and that somatic depression is distinct from pain. This finding justifies further examination of the casual relationship between pain and depression.

  6. Factorial invariance of child self-report across age subgroups: a confirmatory factor analysis of ages 5 to 16 years utilizing the PedsQL 4.0 Generic Core Scales.

    Science.gov (United States)

    Limbers, Christine A; Newman, Daniel A; Varni, James W

    2008-01-01

    The utilization of health-related quality of life (HRQOL) measurement in an effort to improve pediatric health and well-being and determine the value of health care services has grown dramatically over the past decade. The paradigm shift toward patient-reported outcomes (PROs) in clinical trials has provided the opportunity to emphasize the value and essential need for pediatric patient self-report. In order for HRQOL/PRO comparisons to be meaningful for subgroup analyses, it is essential to demonstrate factorial invariance. This study examined age subgroup factorial invariance of child self-report for ages 5 to 16 years on more than 8,500 children utilizing the PedsQL 4.0 Generic Core Scales. Multigroup Confirmatory Factor Analysis (MGCFA) was performed specifying a five-factor model. Two multigroup structural equation models, one with constrained parameters and the other with unconstrained parameters, were proposed to compare the factor loadings across the age subgroups. Metric invariance (i.e., equal factor loadings) across the age subgroups was demonstrated based on stability of the Comparative Fit Index between the two models, and several additional indices of practical fit including the Root Mean Squared Error of Approximation, the Non-Normed Fit Index, and the Parsimony Normed Fit Index. The findings support an equivalent five-factor structure across the age subgroups. Based on these data, it can be concluded that children across the age subgroups in this study interpreted items on the PedsQL 4.0 Generic Core Scales in a similar manner regardless of their age.

  7. Anxiety Sensitivity in School Attending Youth: Exploratory and Confirmatory Factor Analysis of the 18-Item CASI in a Multicultural South African Sample.

    Science.gov (United States)

    Martin, Lindi; Kidd, Martin; Seedat, Soraya

    2015-01-01

    Anxiety sensitivity (AS) is a risk factor for the development of anxiety disorders in youth. To date, the applicability of the Childhood Anxiety Sensitivity Index (CASI) in youth from a low or middle income country (LMIC) setting on the African continent has not been assessed. A representative sample of 1149 secondary school learners from 29 schools in Cape Town, South Africa, participated in the study. Participants completed the CASI on a single occasion. One-, two-, and four-factor models of the CASI were assessed. A one-factor solution that comprised items predominantly represented by physical concerns appeared to provide the best fit to our data, however, relatively low variance (26%) was explained. Subsequent item deletion resulted in a 9-item 'physical concerns' factor that showed good construct reliability (0.83) but also explained a low amount of variance (35%). In terms of gender, a one-factor model provided the best fit, however, low variance was explained (i.e., 25%). Configural, metric and scalar invariance of the CASI by gender was determined. Our results suggest that the 18-item CASI is not applicable to our target population and may require adaptation in this population; however, replication of this study in other multicultural adolescent samples in South Africa is first needed to further assess the validity of the AS construct as measured by the CASI.

  8. Development of the Italian version of the Pain Stages of Change Questionnaire in patients with chronic low back pain: cross-cultural adaptation, confirmatory factor analysis, reliability and validity.

    Science.gov (United States)

    Monticone, Marco; Ferrante, Simona; Ferrari, Silvano; Mugnai, Raffaele; Pillastrini, Paolo; Rocca, Barbara; Vanti, Carla; Foti, Calogero

    2014-09-01

    Translating, culturally adapting and validating the Italian version of the Pain Stages of Change Questionnaire (PSOCQ-I) to allow its use with Italian-speaking patients with low back pain. The PSOCQ-I was developed by forward-backward translation, a final review by an expert committee and a test of the prefinal version to establish its correspondence with the original English version. Psychometric testing included confirmatory factor analysis, reliability by internal consistency (Cronbach's α) and test-retest reliability (intraclass coefficient correlation), and construct validity by comparing PSOCQ-I with the Pain Catastrophising Scale (PCS), the Tampa Scale of Kinesiophobia (TSK), the Roland Morris Disability Scale (RMDQ), a pain Numerical Rating Scale (NRS), and the Hospital Anxiety and Depression Scale (Pearson's correlation). The questionnaire was administered to 308 patients with chronic low back pain. Factor analysis confirmed a four-factor solution (namely, Precontemplation, Contemplation, Action, and Maintenance), achieving an acceptable data-model fit. Internal consistency (α=0.91-93) and test-retest reliability (intraclass coefficient correlation=0.74-0.81) were satisfactory. Construct validity showed moderate correlations between Precontemplation and PCS (r=0.318), TSK (r=0.385), RMDQ (r=0.320) and NRS (r=0.335); low correlations were found between the other PSOCQ subscales and PCS (r=-0.062; 0.039), TSK (r=-0.164; 0.024), RMDQ (r=-0.073; 0.004) and NRS (r=-0.170; 0.020). Low correlations were found between the PSOCQ-I subscales and anxiety (r=-0.132; 0.150) and depression (r=-0.113; 0.186). The PSOCQ was translated successfully into Italian, and proved to have a good factorial structure and psychometric properties that replicated the results of other versions. Its use is recommended for research purposes.

  9. Psychometric properties and confirmatory factor analysis of the CASP-19, a measure of quality of life in early old age: the HAPIEE study

    NARCIS (Netherlands)

    G.R. Kim (Gyu Ri); G. Netuveli (Gopalakrishnan); D. Blane (David); A. Peasey (Anne); S. Malyutina; G. Simonova (Galina); R. Kubinova; A. Pajak (Andrzej); S. Croezen (Simone); M. Bobak (Martin); H. Pikhart (Hynek)

    2014-01-01

    textabstractObjectives: The aim was to assess the reliability and validity of the quality of life (QoL) instrument CASP-19, and three shorter versions of CASP-12 in large population sample of older adults from the HAPIEE (Health, Alcohol, and Psychosocial factors In Eastern Europe) study.Methods: Fr

  10. Universal-diverse orientation in Asian international students: confirmatory factor analysis of the Miville-Guzman universality-diversity scale, short form.

    Science.gov (United States)

    Kegel, Karen; DeBlaere, Cirleen

    2014-07-01

    Despite apparent relevance to Asian international students, universal-diverse orientation (UDO) has not been psychometrically validated with this population. The current study investigated the most researched UDO measure, the Miville-Guzman Universality-Diversity Scale, Short Form (M-GUDS-S; Fuertes, Miville, Mohr, Sedlacek, & Gretchen, 2000), with 333 Asian international college students. The M-GUDS-S evidenced good reliability and convergent validity, and analyses confirmed a three-factor structure, supporting expanded use of the scale.

  11. An independent confirmatory factor analysis of the Wechsler Intelligence Scale for Children-fourth Edition (WISC-IV) integrated: what do the process approach subtests measure?

    Science.gov (United States)

    Benson, Nicholas; Hulac, David M; Bernstein, Joshua D

    2013-09-01

    The Wechsler intelligence scale for children--fourth edition (WISC-IV) Integrated contains the WISC-IV core and supplemental subtests along with process approach subtests designed to facilitate a process-oriented approach to score interpretation. The purpose of this study was to examine the extent to which WISC-IV Integrated subtests measure the constructs they are purported to measure. In addition to examining the measurement and scoring model provided in the manual, this study also tested hypotheses regarding Cattell-Horn-Carroll abilities that might be measured along with other substantive questions regarding the factor structure of the WISC-IV Integrated and the nature of abilities measured by process approach subtests. Results provide insight regarding the constructs measured by these subtests. Many subtests appear to be good to excellent measures of psychometric g (i.e., the general factor presumed to cause the positive correlation of mental tasks). Other abilities measured by subtests are described. For some subtests, the majority of variance is not accounted for by theoretical constructs included in the scoring model. Modifications made to remove demands such as memory recall and verbal expression were found to reduce construct-irrelevant variance. The WISC-IV Integrated subtests appear to measure similar constructs across ages 6-16, although strict factorial invariance was not supported.

  12. A cross-battery, reference variable, confirmatory factor analytic investigation of the CHC taxonomy.

    Science.gov (United States)

    Reynolds, Matthew R; Keith, Timothy Z; Flanagan, Dawn P; Alfonso, Vincent C

    2013-08-01

    The Cattell-Horn-Carroll (CHC) taxonomy has been used to classify and describe human cognitive abilities. The ability factors derived from the CHC taxonomy are often assumed to be invariant across multiple populations and intelligence batteries, which is an important assumption for research and assessment. In this study, data from five different test batteries that were collected during separate Kaufman Assessment Battery for Children-Second Edition (KABC-II; Kaufman & Kaufman, 2004) concurrent validity studies were factor-analyzed jointly. Because the KABC-II was administered to everyone in the validity studies, it was used as a reference battery to link the separate test batteries in a "cross-battery" confirmatory factor analysis. Some findings from this analysis were that CHC-based test classifications based on theory and prior research were straightforward and accurate, a first-order Fluid/Novel Reasoning (Gf) factor was equivalent to a second-order g factor, and sample heterogeneity related to SES and sex influenced factor loadings. It was also shown that a reference variable approach, used in studies that incorporate planned missingness into data collection, may be used successfully to analyze data from several test batteries and studies. One implication from these findings is that CHC theory should continue to serve as a useful guide that can be used for intelligence research, assessment, and test development.

  13. Confirmatory factor analysis of the portuguese Depression Anxiety Stress Scales-21 Análisis factorial confirmatoria de la versión portuguesa de la Depression Anxiety Stress Scale-21 Análise fatorial confirmatória da versão portuguesa da Depression Anxiety Stress Scale-21

    OpenAIRE

    João Luís Alves Apóstolo; Barry Allen Tanner; Cynthia Lee Arfken

    2012-01-01

    To determine which of three published models best characterizes the factor structure of the Portuguese version of the Depression Anxiety Stress Scales-21 and to assess its validity and reliability. Confirmatory factor analysis of Depression Anxiety and Stress Scale-21 for 1,297 adult, primary care outpatients (66.7% female, Mage = 48.57 years) comparing 3 models. The relationship between the Depression Anxiety Stress Scales-21 and the Positive and Negative Affect Schedule was analyzed. The co...

  14. Assessing an organizational culture instrument based on the Competing Values Framework: Exploratory and confirmatory factor analyses

    Directory of Open Access Journals (Sweden)

    Mohr David C

    2007-04-01

    Full Text Available Abstract Background The Competing Values Framework (CVF has been widely used in health services research to assess organizational culture as a predictor of quality improvement implementation, employee and patient satisfaction, and team functioning, among other outcomes. CVF instruments generally are presented as well-validated with reliable aggregated subscales. However, only one study in the health sector has been conducted for the express purpose of validation, and that study population was limited to hospital managers from a single geographic locale. Methods We used exploratory and confirmatory factor analyses to examine the underlying structure of data from a CVF instrument. We analyzed cross-sectional data from a work environment survey conducted in the Veterans Health Administration (VHA. The study population comprised all staff in non-supervisory positions. The survey included 14 items adapted from a popular CVF instrument, which measures organizational culture according to four subscales: hierarchical, entrepreneurial, team, and rational. Results Data from 71,776 non-supervisory employees (approximate response rate 51% from 168 VHA facilities were used in this analysis. Internal consistency of the subscales was moderate to strong (α = 0.68 to 0.85. However, the entrepreneurial, team, and rational subscales had higher correlations across subscales than within, indicating poor divergent properties. Exploratory factor analysis revealed two factors, comprising the ten items from the entrepreneurial, team, and rational subscales loading on the first factor, and two items from the hierarchical subscale loading on the second factor, along with one item from the rational subscale that cross-loaded on both factors. Results from confirmatory factor analysis suggested that the two-subscale solution provides a more parsimonious fit to the data as compared to the original four-subscale model. Conclusion This study suggests that there may be problems

  15. Análise confirmatória do Questionário de Satisfação do Atleta: versão Portuguesa Confirmatory factor analysis of the Athlete Satisfaction Questionnaire (ASQ: Portuguese version

    Directory of Open Access Journals (Sweden)

    Carla M. Chicau Borrego

    2010-04-01

    Full Text Available O objectivo do estudo foi examinar as propriedades psicométrica da versão Portuguesa do Questionário de Satisfação do Atleta ([QSA/Athlete Satisfaction Questionnaire - ASQ], Riemer & Chelladurai, 1998, através da análise factorial confirmatória, uma vez que as características culturais e de idioma podem afectar a aplicação e interpretação do questionário. O QSA possui 14 dimensões, com 54 itens e visa avaliar a satisfação do atleta com a sua experiência desportiva. O modelo foi testado com uma amostra de 527 atletas de diferentes modalidades: basquetebol, andebol, futebol e voleibol, dos campeonatos nacionais e regionais de Portugal. Todos os factores apresentam elevados coeficientes de consistência interna, com valores de alpha de Cronbach entre a=0,70 e a =0,94. De uma forma geral os valores dos indicadores globais de ajustamento do modelo observado, resultantes da análise factorial confirmatória (robustos TLI/NNFI=0,93, CFI=0,93 e do IFI=0,93, RMSEA=0,042 (0,039 - 0,044 e o índice SRMR=0,05 expressam a sua qualidade. Assim, os resultados sugerem que a avaliação da satisfação do atleta nas diversas facetas consideradas relevantes para a sua experiencia desportiva, parece poder ser realizada em futuras pesquisas, através da utilização do ASQ versão portuguesaThe purpose of this study was to examine the psychometric properties of the Portuguese version of the Athlete Satisfaction Questionnaire (ASQ, developed by Riemer and Chelladurai (1998, through confirmatory factor analysis since cultural and language characteristics can affect the applicability and the interpretation of the multidimensional Athlete Satisfaction Questionnaire. The ASQ has 14 dimensions, with 54 items to evaluate the athletes' satisfaction with their sports experience. The model was tested with a sample of 527 athletes (basketball, handball, soccer and volleyball players from national and regional championships in Portugal. All factors have good

  16. Student Academic Optimism: A Confirmatory Factor Analysis

    Science.gov (United States)

    Tschannen-Moran, Megan; Bankole, Regina A.; Mitchell, Roxanne M.; Moore, Dennis M., Jr.

    2013-01-01

    Purpose: This research aims to add to the literature on Academic Optimism, a composite measure composed of teacher perceptions of trust in students, academic press, and collective efficacy by exploring a similar set of constructs from the student perceptive. The relationships between student trust in teachers, student perceptions of academic…

  17. Confirmatory Factor Analysis of Transfer Student Adjustment

    Science.gov (United States)

    Young, Jacob T. N.; Litzler, Elizabeth

    2013-01-01

    Transfer students' adjustment to college has received substantial attention by researchers. This focus has predominately investigated the observation of "transfer shock": a decrease in grade point average (GPA) experienced after transferring. In response to the persistent focus on transfer shock, growing attention has been directed…

  18. The Chinese Family Assessment Instrument (C-FAI): Hierarchical Confirmatory Factor Analyses and Factorial Invariance

    Science.gov (United States)

    Shek, Daniel T. L.; Ma, Cecilia M. S.

    2010-01-01

    Objective: This paper examines the dimensionality and factorial invariance of the Chinese Family Assessment Instrument (C-FAI) using multigroup confirmatory factor analyses (MCFAs). Method: A total of 3,649 students responded to the C-FAI in a community survey. Results: Results showed that there are five dimensions of the C-FAI (communication,…

  19. Classification of L2 Vocabulary Learning Strategies: Evidence from Exploratory and Confirmatory Factor Analyses

    Science.gov (United States)

    Zhang, Bo; Li, Changyu

    2011-01-01

    This research presents a classification theory for the L2 vocabulary learning strategies. Based on the exploratory and confirmatory factor analyses of strategies that adult Chinese English learners used, this theory identifies six categories, four of which are related to the cognitive process in lexical acquisition and the other two are…

  20. Dimensionality of the Chinese Positive Youth Development Scale: Confirmatory Factor Analyses

    Science.gov (United States)

    Shek, Daniel T. L.; Ma, Cecilia M. S.

    2010-01-01

    This paper examines the dimensionality and factorial invariance of the Chinese Positive Youth Development Scale (CPYDS) using multigroup confirmatory factor analyses (MCFA). Secondary 1 students (N = 5,649) responded to the CPYDS in the context of a positive youth development program. Results showed that there are 15 basic dimensions of the CPYDS…

  1. A confirmatory factor analytic study of a self-leadership measure in South Africa

    Directory of Open Access Journals (Sweden)

    Bright Mahembe

    2013-01-01

    Full Text Available Orientation: Self-leadership is considered to be essential for effective individual functioning in occupational and academic contexts. The revised self-leadership questionnaire (RSLQ is widely utilised for measuring self-leadership, but its psychometric properties have not been established on a South African sample. By implication, important questions also exist about the theoretical structure of self-leadership in the South African context. Research purpose: The research aim of this study was to investigate the reliability and factorial validity of the revised self-leadership questionnaire on a South African sample. In doing so, the results of the research would also provide valuable insights into the latent factor structure of the self-leadership construct. Motivation for the study: On a practical level, the research sought internal validity evidence for the use of the RSLQ in the South African context. On a theoretical level, questions remain about the best conceptual representation of self-leadership as a construct. Research design, approach and method: The revised self-leadership questionnaire was administered to a non-probability sample of 375 South African young adults. The first and second-order factor structure underlying contemporary models of self-leadership using confirmatory factor analytic techniques was tested. Main findings: Results showed that the RSLQ measured self-leadership with suitable reliability and internal validity. All eight subscales had high internal consistency coefficients. Confirmatory factor analysis (CFA of the first and second-order models conclusively demonstrated good factorial validity. Practical/managerial implications: The study found that the RSLQ has good measurement properties for a South African context. Academics, practitioners and managers are urged to use the measure in its present form for applications such as leadership development and promoting self-management. Contribution/value-addition: The

  2. Confirmatory factor analytic structure and measurement invariance of quantitative autistic traits measured by the social responsiveness scale-2.

    Science.gov (United States)

    Frazier, Thomas W; Ratliff, Kristin R; Gruber, Chris; Zhang, Yi; Law, Paul A; Constantino, John N

    2014-01-01

    Understanding the factor structure of autistic symptomatology is critical to the discovery and interpretation of causal mechanisms in autism spectrum disorder. We applied confirmatory factor analysis and assessment of measurement invariance to a large (N = 9635) accumulated collection of reports on quantitative autistic traits using the Social Responsiveness Scale, representing a broad diversity of age, severity, and reporter type. A two-factor structure (corresponding to social communication impairment and restricted, repetitive behavior) as elaborated in the updated Diagnostic and Statistical Manual of Mental Disorders (5th ed.; DSM-5) criteria for autism spectrum disorder exhibited acceptable model fit in confirmatory factor analysis. Measurement invariance was appreciable across age, sex, and reporter (self vs other), but somewhat less apparent between clinical and nonclinical populations in this sample comprised of both familial and sporadic autism spectrum disorders. The statistical power afforded by this large sample allowed relative differentiation of three factors among items encompassing social communication impairment (emotion recognition, social avoidance, and interpersonal relatedness) and two factors among items encompassing restricted, repetitive behavior (insistence on sameness and repetitive mannerisms). Cross-trait correlations remained extremely high, that is, on the order of 0.66-0.92. These data clarify domains of statistically significant factoral separation that may relate to partially-but not completely-overlapping biological mechanisms, contributing to variation in human social competency. Given such robust intercorrelations among symptom domains, understanding their co-emergence remains a high priority in conceptualizing common neural mechanisms underlying autistic syndromes.

  3. Sixteen-item Anxiety Sensitivity Index - Confirmatory factor analytic evidence, internal consistency, and construct validity in a young adult sample from the Netherlands

    NARCIS (Netherlands)

    Vujanovic, Anka A.; Arrindell, Willem A.; Bernstein, Amit; Norton, Peter J.; Zvolensky, Michael J.

    2007-01-01

    The present investigation examined the factor structure, internal consistency, and construct validity of the 16-item Anxiety Sensitivity Index (ASI; Reiss Peterson, Gursky, & McNally 1986) in a young adult sample (n = 420)from the Netherlands. Confirmatory factor analysis was used to comparatively e

  4. Development of a Body Image Concern Scale using both exploratory and confirmatory factor analyses in Chinese university students

    Directory of Open Access Journals (Sweden)

    He W

    2017-05-01

    Full Text Available Wenxin He, Qiming Zheng, Yutian Ji, Chanchan Shen, Qisha Zhu, Wei Wang Department of Clinical Psychology and Psychiatry, School of Public Health, Zhejiang University College of Medicine, Hangzhou, People’s Republic of China Background: The body dysmorphic disorder is prevalent in general population and in psychiatric, dermatological, and plastic-surgery patients, but there lacks a structure-validated, comprehensive self-report measure of body image concerns, which is established through both exploratory and confirmatory factor analyses. Methods: We have composed a 34-item matrix targeting the body image concerns and trialed it in 328 male and 365 female Chinese university students. Answers to the matrix dealt with treatments including exploratory factor analyses, reserve of qualified items, and confirmatory factor analyses of latent structures. Results: Six latent factors, namely the Social Avoidance, Appearance Dissatisfaction, Preoccupation with Reassurance, Perceived Distress/Discrimination, Defect Hiding, and Embarrassment in Public, were identified. The factors and their respective items have composed a 24-item questionnaire named as the Body Image Concern Scale. Each factor earned a satisfactory internal reliability, and the intercorrelations between these factors were in a median level. Women scored significantly higher than men did on the Appearance Dissatisfaction, Preoccupation with Reassurance, and Defect Hiding. Conclusion: The Body Image Concern Scale has displayed its structure validation and gender preponderance in Chinese university students. Keywords: body dysmorphic disorder, body image, factor analysis, questionnaire development

  5. 公立医疗机构医生工作满意度结构的验证性因素分析%Confirmatory Factor Analysis of Job Satisfaction Structure of Physicians from Public Medical Institutions

    Institute of Scientific and Technical Information of China (English)

    张宜民; 冯学山

    2011-01-01

    目的 通过探讨公立医疗机构医生工作满意度的潜在因素结构,评价测量工具的结构效度.方法 自编医生工作满意度问卷(PJSQ-PMI),根据预调查探索性因素分析(EFA)结果提出假设模型,利用正式调查数据(N=1 451)进行多样本、多阶层验证性因素分析(CFA).结果 由58个原始指标组成的五因素模型Model A、A′的拟合效果不佳,而经项目组合后的简化修饰模型Model B′(含13个指标)与实际数据的拟合状态理想(GFI、NFI、CFI、IFI>0.9,RMSEA=0.075,RMR=0.024),在不同地区的样本中都获得支持;进一步构建的二阶模型Model C同样达到拟合要求(RMSEA=0.086,RMR=0.025,γ≥0.64),与Model B′的拟合卡方值之差CMIN=10.163,DF=5,P>0.05,根据简效法则接受Model C为较佳模型.结论 经EFA 与CFA相结合的多样本交叉检验显示,公立医疗机构医生工作满意度的潜在结构为简化的五因素二阶模型,表明问卷总体上具有较好的结构效度和测量稳定性.%Objective To assess construct validity of measurement tool through a probe into latent factorial structure of physicians' job satisfaction from public medical institutions. Methods Multi-sample, multi-order confirmatory factor analysis (CFA) was used in inspection of hypothesis models constructed according to the result of exploratory factor analysis(EFA). Formal data of three cities were surveyed by self-compiled PJS-PMI questionnaire. Results Though the five-factor model A&A' made of fifty-eight original indicators wasn't fitted well, the simplified model B'( including thirteen indicators)through item parceling could be supported ideally by entire sample data( GFI 、NFI、 CFI、IFI > 0. 9 ,RMSEA = 0. 075, RMR = 0. 024), and the same as by three single samples. Moreover, the second-order model C, raised on the basis of model B', could also reach the goodness-of-fit standards ( RMSEA = 0. 086, RMR = 0. 025,γ ≥ 0.64,ΔCMIN=10. 163,ΔDF=5,P>0. 05) and be

  6. Male Role Norms Inventory--Short Form (MRNI-SF): Development, Confirmatory Factor Analytic Investigation of Structure, and Measurement Invariance across Gender

    Science.gov (United States)

    Levant, Ronald F.; Hall, Rosalie J.; Rankin, Thomas J.

    2013-01-01

    The current study reports the development from the Male Role Norms Inventory-Revised (MRNI-R; Levant, Rankin, Williams, Hasan, & Smalley, 2010) of the 21-item MRNI-Short Form (MRNI-SF). Confirmatory factor analysis of MRNI-SF responses from a sample of 1,017 undergraduate participants (549 men, 468 women) indicated that the best fitting "bifactor"…

  7. Development and Confirmatory Factory Analysis of the Achievement Task Value Scale for University Students

    Science.gov (United States)

    Lou, Yu-Chiung; Lin, Hsiao-Fang; Lin, Chin-Wen

    2013-01-01

    The aims of the study were (a) to develop a scale to measure university students' task value and (b) to use confirmatory factor analytic techniques to investigate the construct validity of the scale. The questionnaire items were developed based on theoretical considerations and the final version contained 38 items divided into 4 subscales.…

  8. 75 FR 69140 - NUREG-1953, Confirmatory Thermal-Hydraulic Analysis To Support Specific Success Criteria in the...

    Science.gov (United States)

    2010-11-10

    ... COMMISSION NUREG-1953, Confirmatory Thermal-Hydraulic Analysis To Support Specific Success Criteria in the... Regulatory Commission has issued for public comment a document entitled: NUREG-1953, ``Confirmatory Thermal...-4209, 301-415-4737, or by e-mail to pdr.resource@nrc.gov . NUREG-1953 is available electronically...

  9. Nursing students' attitudes towards information and communication technology: an exploratory and confirmatory factor analytic approach.

    Science.gov (United States)

    Lee, Jung Jae; Clarke, Charlotte L

    2015-05-01

    The aim of this study was to develop and psychometrically test a shortened version of the Information Technology Attitude Scales for Health, in the investigation of nursing students with clinical placement experiences. Nurses and nursing students need to develop high levels of competency in information and communication technology. However, they encounter statistically significant barriers in the use of the technology. Although some instruments have been developed to measure factors that influence nurses' attitudes towards technology, the validity is questionable and few studies have been developed to test the attitudes of nursing students, in particular. A cross-sectional survey design was performed. The Information Technology Attitude Scales for Health was used to collect data from October 2012-December 2012. A panel of experts reviewed the content of the instrument and a pilot study was conducted. Following this, a total of 508 nursing students, who were engaged in clinical placements, were recruited from six universities in South Korea. Exploratory and confirmatory factor analyses were performed and reliability and construct validity were assessed. The resulting instrument consisted of 19 items across four factors. Reliability of the four factors was acceptable and the validity was supported. The instrument was shown to be both valid and reliable for measuring nursing students' attitudes towards technology, thus aiding in the current understandings of this aspect. Through these measurements and understandings, nursing educators and students are able to be more reflexive of their attitudes and can thus seek to develop them positively. © 2015 John Wiley & Sons Ltd.

  10. The Structure of Negative Self-Statements in Children and Adolescents: A Confirmatory Factor-Analytic Approach

    Science.gov (United States)

    Schniering, Carolyn A.; Rapee, Ronald M.

    2004-01-01

    The aim of this study was to examine the nature and organization of a range of negative self-statements in children and adolescents, using a structural equations/confirmatory factor-analytic approach. A community sample of 978 children aged 7-16 years completed a questionnaire about the frequency with which they experienced a broad range of…

  11. A Computationally Efficient State Space Approach to Estimating Multilevel Regression Models and Multilevel Confirmatory Factor Models.

    Science.gov (United States)

    Gu, Fei; Preacher, Kristopher J; Wu, Wei; Yung, Yiu-Fai

    2014-01-01

    Although the state space approach for estimating multilevel regression models has been well established for decades in the time series literature, it does not receive much attention from educational and psychological researchers. In this article, we (a) introduce the state space approach for estimating multilevel regression models and (b) extend the state space approach for estimating multilevel factor models. A brief outline of the state space formulation is provided and then state space forms for univariate and multivariate multilevel regression models, and a multilevel confirmatory factor model, are illustrated. The utility of the state space approach is demonstrated with either a simulated or real example for each multilevel model. It is concluded that the results from the state space approach are essentially identical to those from specialized multilevel regression modeling and structural equation modeling software. More importantly, the state space approach offers researchers a computationally more efficient alternative to fit multilevel regression models with a large number of Level 1 units within each Level 2 unit or a large number of observations on each subject in a longitudinal study.

  12. The Multidimensional Media Influence Scale: confirmatory factor structure and relationship with body dissatisfaction among African American and Anglo American children.

    Science.gov (United States)

    Harrison, Kristen

    2009-06-01

    The Multidimensional Media Influence Scale (MMIS; Cusumano & Thompson, 2001). Media influence and body image in 8-11-year-old boys and girls: A preliminary report on the multidimensional media influence scale. International Journal of Eating Disorders, 29, 37-44) is a child-appropriate, 3-factor scale designed to assess perceived media influence on body image. It has been used in studies exploring the relationship between the entire scale as well as its subscales (awareness, internalization, and pressure) and variables related to body image. However, the 3-factor structure of the scale has never been confirmed via confirmatory factor analysis (CFA), nor has the scale been evaluated with a racially diverse sample of children. This paper reports the results of CFAs establishing the multidimensionality of the scale and the unidimensionality of its subscales among a sample of 661 girls and boys aged 7-12 years, primarily African American and Anglo American. The pressure factor of the MMIS predicted the idealization of a thinner current (child) and future (adult) body both cross-sectionally and one year later for girls and for Anglo American children.

  13. A Confirmatory Factor Analytic Study of the Wechsler Memory Scale-III in an Elderly Norwegian Sample.

    Science.gov (United States)

    Bosnes, Ole; Troland, Kari; Torsheim, Torbjoern

    2016-02-01

    This study compared the factor structure of the translated Wechsler Memory Scale-III (WMS-III), which is the latest available version in Norway, with the original U.S. version. A sample of 122 healthy, elderly Norwegians (mean age: 74; standard deviation = 8.8) completed the WMS-III. The factor structure of the translated WMS-III was tested, using Confirmatory Factor Analysis, with comparison of model fit based on five a priori hypothesized models. Several model fit indices pointed to a three-factor model (working memory, visual memory, and auditory memory) providing the best fit to the data. Our study supports updated findings of the original WMS-III in nonclinical samples and suggests that the translated version is structurally equal to the original. The study supports the cross-cultural validity of the WMS-III. However, based on the present data, one might expect scores on the Family Pictures subtest to fall below scores on other WMS-III subtests in elderly Norwegians.

  14. Cultural adaptation and validation of the Health Literacy Questionnaire (HLQ): robust nine-dimension Danish language confirmatory factor model.

    Science.gov (United States)

    Maindal, Helle Terkildsen; Kayser, Lars; Norgaard, Ole; Bo, Anne; Elsworth, Gerald R; Osborne, Richard H

    2016-01-01

    Health literacy is an important construct in population health and healthcare requiring rigorous measurement. The Health Literacy Questionnaire (HLQ), with nine scales, measures a broad perception of health literacy. This study aimed to adapt the HLQ to the Danish setting, and to examine the factor structure, homogeneity, reliability and discriminant validity. The HLQ was adapted using forward-backward translation, consensus conference and cognitive interviews (n = 15). Psychometric properties were examined based on data collected by face-to-face interview (n = 481). Tests included difficulty level, composite scale reliability and confirmatory factor analysis (CFA). Cognitive testing revealed that only minor re-wording was required. The easiest scale to respond to positively was 'Social support for health', and the hardest were 'Navigating the healthcare system' and 'Appraisal of health information'. CFA of the individual scales showed acceptably high loadings (range 0.49-0.93). CFA fit statistics after including correlated residuals were good for seven scales, acceptable for one. Composite reliability and Cronbach's α were >0.8 for all but one scale. A nine-factor CFA model was fitted to items with no cross-loadings or correlated residuals allowed. Given this restricted model, the fit was satisfactory. The HLQ appears robust for its intended application of assessing health literacy in a range of settings. Further work is required to demonstrate sensitivity to measure changes.

  15. A confirmatory factor analytical study of a servant leadership measure in South Africa

    Directory of Open Access Journals (Sweden)

    Bright Mahembe

    2013-03-01

    Full Text Available Orientation: Servant leadership is a value-based leadership practice that plays a critical role in team effectiveness and organisational success.Research purpose: The goal of the study was to validate the Servant Leadership Questionnaire(SLQ, which Barbuto and Wheeler developed, on a South African sample.Motivation for the study: The literature is replete with evidence of the role of follower focused leadership practices in improving team effectiveness, employee engagement and organisational success. We need to complement these efforts with psychometrically sound measuring instruments.Research design, approach and method: The authors drew a convenience sample of 288 school teachers from schools in the Western Cape Province of South Africa. They used the SLQ that Barbuto and Wheeler developed to measure servant leadership.Main findings: The authors found high levels of reliability for the sub-scales of the latent variables. They found good fit with the data for the measurement model of the five latent servant leadership dimensions (altruistic calling, persuasive mapping, emotional healing, wisdom and organisational stewardship through confirmatory factor analyses (CFA. They obtained reasonable fit for the first- and second-order servant leadership CFA. The authors concluded that the SLQ shows reasonable fit.Practical/managerial implications: The SLQ showed evidence of reliability and construct validity. It can contribute to the scientific selection and development of education leaders in South African schools.Contribution/value add: Servant leadership incorporates a service ethic that fosters participatory management, teacher development and team building. The department of education should increase team effectiveness in schools by selecting and developing servant leadership.

  16. The structure of assertiveness : a confirmatory approach

    NARCIS (Netherlands)

    ARRINDELL, WA; SANDERMAN, R; VANDERMOLEN, H; VANDERENDE, J; MERSCH, PP

    1988-01-01

    By using confirmatory factor analysis, distress and performance factors of assertion identified previously in a sample of predomi- nantly agoraphobic club members (N = 703) employing the Scale for Interpersonal Behavior (SlB) - the factors being (I) Display of negative feelings; (II) Expression of a

  17. The structure of assertiveness : a confirmatory approach

    NARCIS (Netherlands)

    ARRINDELL, WA; SANDERMAN, R; VANDERMOLEN, H; VANDERENDE, J; MERSCH, PP

    1988-01-01

    By using confirmatory factor analysis, distress and performance factors of assertion identified previously in a sample of predomi- nantly agoraphobic club members (N = 703) employing the Scale for Interpersonal Behavior (SlB) - the factors being (I) Display of negative feelings; (II) Expression of

  18. Confirmatory factorial analysis of TEOSQp / Análise factorial confirmatória do TEOSQp

    Directory of Open Access Journals (Sweden)

    Helder M. Fernandes

    2010-01-01

    Full Text Available The present research assessed the reliability, factorial validity and measurement invariance (by gender of the Portuguese version of TEOSQ –Task and Ego Orientation in Sport Questionnaire (Fonseca & Biddle, 2001. Data were collected from 1010 physical education students with a mean age of 15.42 ( SD=1.91. Factorial and invariance measurements were tested via confirmatory factorial analysis. Results supported internal consistency for the two proposed subscales (task and ego. Based on modification indices and theoretical justification the TEOSQ p was reduced to 12 items with better goodness-of-fit indices for the oblique model. The results of gender invariance did not provide full empirical support to the multi-group equivalence assumption, being suggested that TEOSQ p does not measure in the same way goal orientations for boys (orthogonal model and girls (oblique model. In light of these results, conceptual, empirical and practical issues were discussed.

  19. 75 FR 80544 - NUREG-1953, Confirmatory Thermal-Hydraulic Analysis To Support Specific Success Criteria in the...

    Science.gov (United States)

    2010-12-22

    ... COMMISSION NUREG-1953, Confirmatory Thermal-Hydraulic Analysis To Support Specific Success Criteria in the... Regulatory Commission is re-opening the public comment period for the document entitled: NUREG-1953....gov . NUREG-1953 is available electronically under ADAMS Accession Number ML102940233....

  20. Is the Community Attitudes towards the Mentally Ill scale valid for use in the investigation of European nurses' attitudes towards the mentally ill? A confirmatory factor analytic approach.

    Science.gov (United States)

    Morris, Roisin; Scott, Philomena Anne; Cocoman, Angela; Chambers, Mary; Guise, Veslemøy; Välimäki, Maritta; Clinton, Gerard

    2012-02-01

    This study aimed to assess the construct validity of the Community Attitudes towards the Mentally Ill scale in the investigation of European nurses' attitudes towards mental illness and mental health patients. The harbouring of negative attitudes by nurses towards any patient can have implications for recovery. To gather robust evidence upon which to base information and education aimed at fostering acceptance, support and general positivity towards people with mental health illness, a valid and reliable system of data collection is required. A confirmatory factor analysis of both the original Community Attitudes towards the Mentally Ill scale and two modified versions of the scale were carried out during May - June 2007 using a data set representing the responses of 858 European nurses to the scale. Data were subjected to three different confirmatory factor analyses using Maximum Likelihood estimation in the software package, Analysis of Moment Structures 7. A number of absolute, relative and incremental fit statistics were used to assess the fit of the original Community Attitudes towards the Mentally Ill scale and two modified versions to the European nursing data. A modification of the scale was found to be most suitable for use in the investigation of European nurses' attitudes towards mental illness and people with mental illness. Further research is recommended to develop a valid and reliable research tool to specifically measure the attitudes of 'nurses' working across different mental healthcare facilities towards this vulnerable patient group. © 2011 Blackwell Publishing Ltd.

  1. Confirmatory analysis of acetylgestagens in plasma using liquid chromatography-tandem mass spectrometry

    DEFF Research Database (Denmark)

    Mortensen, Sarah Kelly; Pedersen, Mikael

    2007-01-01

    A confirmatory method has been developed and validated for the determination of chlormadinone acetate (CMA), megestrol acetate (NIGA), melengestrol acetate (MLA) and medroxyprogesterone acetate (MPA) in bovine and porcine plasma. Analytes are extracted from plasma samples using matrix-assisted li......A confirmatory method has been developed and validated for the determination of chlormadinone acetate (CMA), megestrol acetate (NIGA), melengestrol acetate (MLA) and medroxyprogesterone acetate (MPA) in bovine and porcine plasma. Analytes are extracted from plasma samples using matrix...

  2. The Anxiety Sensitivity Index--Revised: Confirmatory Factor Analyses, Structural Invariance in Caucasian and African American Samples, and Score Reliability and Validity

    Science.gov (United States)

    Arnau, Randolph C.; Broman-Fulks, Joshua J.; Green, Bradley A.; Berman, Mitchell E.

    2009-01-01

    The most commonly used measure of anxiety sensitivity is the 36-item Anxiety Sensitivity Index--Revised (ASI-R). Exploratory factor analyses have produced several different factors structures for the ASI-R, but an acceptable fit using confirmatory factor analytic approaches has only been found for a 21-item version of the instrument. We evaluated…

  3. The Anxiety Sensitivity Index--Revised: Confirmatory Factor Analyses, Structural Invariance in Caucasian and African American Samples, and Score Reliability and Validity

    Science.gov (United States)

    Arnau, Randolph C.; Broman-Fulks, Joshua J.; Green, Bradley A.; Berman, Mitchell E.

    2009-01-01

    The most commonly used measure of anxiety sensitivity is the 36-item Anxiety Sensitivity Index--Revised (ASI-R). Exploratory factor analyses have produced several different factors structures for the ASI-R, but an acceptable fit using confirmatory factor analytic approaches has only been found for a 21-item version of the instrument. We evaluated…

  4. Assessing public speaking fear with the short form of the Personal Report of Confidence as a Speaker scale: confirmatory factor analyses among a French-speaking community sample

    Directory of Open Access Journals (Sweden)

    Heeren A

    2013-05-01

    Full Text Available Alexandre Heeren,1,2 Grazia Ceschi,3 David P Valentiner,4 Vincent Dethier,1 Pierre Philippot11Université Catholique de Louvain, Louvain-la-Neuve, Belgium; 2National Fund for Scientific Research, Brussels, Belgium; 3Department of Psychology, University of Geneva, Geneva, Switzerland; 4Department of Psychology, Northern Illinois University, DeKalb, IL, USABackground: The main aim of this study was to assess the reliability and structural validity of the French version of the 12-item version of the Personal Report of Confidence as Speaker (PRCS, one of the most promising measurements of public speaking fear.Methods: A total of 611 French-speaking volunteers were administered the French versions of the short PRCS, the Liebowitz Social Anxiety Scale, the Fear of Negative Evaluation scale, as well as the Trait version of the Spielberger State-Trait Anxiety Inventory and the Beck Depression Inventory-II, which assess the level of anxious and depressive symptoms, respectively.Results: Regarding its structural validity, confirmatory factor analyses indicated a single-factor solution, as implied by the original version. Good scale reliability (Cronbach’s alpha = 0.86 was observed. The item discrimination analysis suggested that all the items contribute to the overall scale score reliability. The French version of the short PRCS showed significant correlations with the Liebowitz Social Anxiety Scale (r = 0.522, the Fear of Negative Evaluation scale (r = 0.414, the Spielberger State-Trait Anxiety Inventory (r = 0.516, and the Beck Depression Inventory-II (r = 0.361.Conclusion: The French version of the short PRCS is a reliable and valid measure for the evaluation of the fear of public speaking among a French-speaking sample. These findings have critical consequences for the measurement of psychological and pharmacological treatment effectiveness in public speaking fear among a French-speaking sample.Keywords: social phobia, public speaking, confirmatory

  5. Confirmatory factor analyses of the full and short versions of the Marlowe-Crowne Social Desirability Scale.

    Science.gov (United States)

    Loo, R; Thorpe, K

    2000-10-01

    Over the years, researchers have developed various short versions of the Marlowe-Crowne Social Desirability Scale (D. P. Crowne & D. Marlowe, 1960). The authors used confirmatory factor analyses (J. L. Arbuckle, 1997) as well as item and scale analyses to evaluate the adequacy of the full version and various short versions. Overall, the results from 232 Canadian undergraduates showed (a) that all the short versions in the present study are a significant improvement in fit over the 33-item full scale and (b) that W. M. Reynolds's (1982) Forms A and B are the best fitting short versions. No gender differences were found for the full scale or any of the short versions. The results show that the full scale could be improved psychometrically and that the psychometrically sound short versions should be available because they require less administration time than the full scale.

  6. Confirmatory analysis of field-presumptive GSR test sample using SEM/EDS

    Science.gov (United States)

    Toal, Sarah J.; Niemeyer, Wayne D.; Conte, Sean; Montgomery, Daniel D.; Erikson, Gregory S.

    2014-09-01

    RedXDefense has developed an automated red-light/green-light field presumptive lead test using a sampling pad which can be subsequently processed in a Scanning Electron Microscope for GSR confirmation. The XCAT's sampling card is used to acquire a sample from a suspect's hands on the scene and give investigators an immediate presumptive as to the presence of lead possibly from primer residue. Positive results can be obtained after firing as little as one shot. The same sampling card can then be sent to a crime lab and processed on the SEM for GSR following ASTM E-1588-10 Standard Guide for Gunshot Residue Analysis by Scanning Electron Microscopy/Energy Dispersive X-Ray Spectrometry, in the same manner as the existing tape lifts currently used in the field. Detection of GSR-characteristic particles (fused lead, barium, and antimony) as small as 0.8 microns (0.5 micron resolution) has been achieved using a JEOL JSM-6480LV SEM equipped with an Oxford Instruments INCA EDS system with a 50mm2 SDD detector, 350X magnification, in low-vacuum mode and in high vacuum mode after coating with carbon in a sputter coater. GSR particles remain stable on the sampling pad for a minimum of two months after chemical exposure (long term stability tests are in progress). The presumptive result provided by the XCAT yields immediate actionable intelligence to law enforcement to facilitate their investigation, without compromising the confirmatory test necessary to further support the investigation and legal case.

  7. Confirmatory factor analytic investigation of variance composition, gender invariance, and validity of the Male Role Norms Inventory-Adolescent-revised (MRNI-A-r).

    Science.gov (United States)

    Levant, Ronald F; McDermott, Ryon C; Hewitt, Amber A; Alto, Kathleen M; Harris, Kyle T

    2016-10-01

    Confirmatory factor analysis of responses to the Male Role Norms Inventory-Adolescent-revised (MRNI-A-r) from 384 middle school students (163 boys, 221 girls) indicated that the best fit to the data was a bifactor model incorporating the hypothesized 3-factor structure while explicitly modeling an additional, general factor. Specifically, each item-level indicator loaded simultaneously on 2 factors: a general traditional masculinity ideology factor and a specific factor corresponding to 1 of the 3 hypothesized masculine norms for adolescents: Emotionally Detached Dominance, Toughness, and Avoidance of Femininity. Invariance testing across gender supported metric invariance for the general factor only. Although item loadings on the general factor were similar across boys and girls, the specific factor loadings varied substantially, with many becoming nonsignificant in the presence of the general factor for girls. A structural regression analysis predicting latent variables of the Meanings of Adolescent Masculinity Scale (MAMS), the Rosenberg Self-esteem Scale, and the Discipline, School Difficulties, and Positive Behavior Scale (DSDPBS) indicated that the general factor was a strong predictor of MAMS for both genders and DSDPBS for girls. Findings indicate that the MRNI-A-r general factor is a valid and reliable indicator of overall internalization of traditional masculinity ideology in adolescents; however, the specific factors may have different meanings for boys as compared with girls and lack validity in the presence of the general factor. These findings are consistent with a developmental perspective of gender ideology that views adolescence as a time when a differentiated cognitive schema of masculine norms is beginning to develop. (PsycINFO Database Record

  8. A Brief History of the Philosophical Foundations of Exploratory Factor Analysis.

    Science.gov (United States)

    Mulaik, Stanley A.

    1987-01-01

    Exploratory factor analysis derives its key ideas from many sources, including Aristotle, Francis Bacon, Descartes, Pearson and Yule, and Kant. The conclusions of exploratory factor analysis are never complete without subsequent confirmatory factor analysis. (Author/GDC)

  9. Confirmatory factor analysis of the portuguese Depression Anxiety Stress Scales-21 Análisis factorial confirmatoria de la versión portuguesa de la Depression Anxiety Stress Scale-21 Análise fatorial confirmatória da versão portuguesa da Depression Anxiety Stress Scale-21

    Directory of Open Access Journals (Sweden)

    João Luís Alves Apóstolo

    2012-06-01

    Full Text Available To determine which of three published models best characterizes the factor structure of the Portuguese version of the Depression Anxiety Stress Scales-21 and to assess its validity and reliability. Confirmatory factor analysis of Depression Anxiety and Stress Scale-21 for 1,297 adult, primary care outpatients (66.7% female, Mage = 48.57 years comparing 3 models. The relationship between the Depression Anxiety Stress Scales-21 and the Positive and Negative Affect Schedule was analyzed. The correlated 3-factor model fit the data best. The scale demonstrated good internal consistency, with alpha scores of the subscales ranging from 0.836 to 0.897. Correlation with the Positive and Negative Affect Schedule was positive and moderate with the negative affect scale; it was negative and limited with the positive affect. These findings support the correlated 3-factor structure. The test demonstrated adequate reliability and construct validity, which supports its use for screening in primary care settings with Portuguese speakers.El objetivo de este estudio fue determinar cual de los tres modelos publicados mejor caracteriza la estructura factorial de la versión portuguesa de la Depression Anxiety Stress Scale-21 (DASS-21 y evaluar su validez y confiabilidad. Se compararon los tres modelos a través de análisis factorial confirmatoria de la DASS-21, aplicada el 1.297 pacientes adultos, del servicio de atención básica (66,7% mujeres; edad Media=48,57 años. La relación entre la DASS-21 y la Positive and Negative Affect Schedule (PANAS también fue analizada. El modelo de tres factores correlacionados se ajusta mejor a los datos. La escala presentó buena consistencia interna con valores alfa observados en las subescalas, variando de 0,836 a 0,897. La correlación con la PANAS fue positiva y comedida con la escala de afecto negativa, y negativa y limitada con la escala de afecto positivo. Esos resultados corroboran la estructura de tres factores. La

  10. A Confirmatory Approach to Examining the Factor Structure of the Strengths and Difficulties Questionnaire (SDQ)

    DEFF Research Database (Denmark)

    Niclasen, Janni; Skovgaard, Anne Mette; Andersen, Anne-Marie Nybo

    2013-01-01

    four large scale cohorts. Three theoretical models were examined: 1. a model with five first order factors (i.e., hyperactivity/inattention, conduct, emotional, peer problems and prosocial), 2. a model adding two internalising and externalising second order factors to model 1, and 3. a model adding...... fits. Best model fits were found when two positively worded items were allowed to cross load with the prosocial scale, and cross loadings were allowed for among three sets of indicators. The analyses also revealed that model fits were slightly better for teachers than for parents and better for older...... a total difficulties second order factor to model 1. Model fits were evaluated, multi-group analyses were carried out and average variance extracted (AVE) and composite reliability (CR) estimates were examined. In this general population sample, low risk sample models 1 and 2 showed similar good overall...

  11. Confirmatory Factor Analytical Study of the Revised Developmental Work Personality Scale

    Science.gov (United States)

    Wong, Alex W. K.; O'Sullivan, Deirdre; Strauser, David R.

    2012-01-01

    This study investigated psychometric properties of the Revised Developmental Work Personality Scale (RDWPS). Results yielded a 14-item three-factor model that aligns with the original DWPS and fits the data very well. RDWPS scores were useful in predicting the resolution of Erikson's fourth stage of development, indicating construct validity.…

  12. Medindo consumo de álcool: análise fatorial confirmatória do Alcohol Use Disorder Identification Test (AUDIT Midiendo consumo de alcohol: análisis factorial confirmatorio del Alcohol Use Disorder Identification Test (AUDIT Measuring alcohol consumption: confirmatory factor analysis of The Alcohol Use Disorder Identification Test (AUDIT

    Directory of Open Access Journals (Sweden)

    Walberto Silva dos Santos

    2013-04-01

    to AUDIT , the participants responded to two others correlated instruments - CAGE and EAFUA - and to biosocialdemographic questions. The confirmatory factor analysis indicated the adequacy of the model of three factors, with goodness of fit indexes (χ²/gl=63,29, CFI=0,98, AGFI=0,98 e RMSEA=0,05 statistically higher than the structure of one and two factors. Finally, resorting to Pearson's r correlations and the comparison of means, both convergent and criterion validity of AUDIT were confirmed, attesting its proposal of measuring alcohol consumption and demonstrating its applicability in the screening of problem drinkers.

  13. Nursing students’ attitudes towards information communication technology:An exploratory and confirmatory factor analytic approach

    OpenAIRE

    Lee, J.J.; Clarke, Charlotte

    2015-01-01

    Aim: The aim of this study was to develop and psychometrically test a shortened version of the Information Technology Attitude Scales for Health, in the investigation of nursing students with clinical placement experiences.Background: Nurses and nursing students need to develop high levels of competency in information and communication technology. However, they encounter significant barriers in the use of the technology. Although some instruments have been developed to measure factors that in...

  14. Assessing public speaking fear with the short form of the Personal Report of Confidence as a Speaker scale: confirmatory factor analyses among a French-speaking community sample.

    Science.gov (United States)

    Heeren, Alexandre; Ceschi, Grazia; Valentiner, David P; Dethier, Vincent; Philippot, Pierre

    2013-01-01

    The main aim of this study was to assess the reliability and structural validity of the French version of the 12-item version of the Personal Report of Confidence as Speaker (PRCS), one of the most promising measurements of public speaking fear. A total of 611 French-speaking volunteers were administered the French versions of the short PRCS, the Liebowitz Social Anxiety Scale, the Fear of Negative Evaluation scale, as well as the Trait version of the Spielberger State-Trait Anxiety Inventory and the Beck Depression Inventory-II, which assess the level of anxious and depressive symptoms, respectively. Regarding its structural validity, confirmatory factor analyses indicated a single-factor solution, as implied by the original version. Good scale reliability (Cronbach's alpha = 0.86) was observed. The item discrimination analysis suggested that all the items contribute to the overall scale score reliability. The French version of the short PRCS showed significant correlations with the Liebowitz Social Anxiety Scale (r = 0.522), the Fear of Negative Evaluation scale (r = 0.414), the Spielberger State-Trait Anxiety Inventory (r = 0.516), and the Beck Depression Inventory-II (r = 0.361). The French version of the short PRCS is a reliable and valid measure for the evaluation of the fear of public speaking among a French-speaking sample. These findings have critical consequences for the measurement of psychological and pharmacological treatment effectiveness in public speaking fear among a French-speaking sample.

  15. An easy guide to factor analysis

    CERN Document Server

    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

  16. Spatial Dependence and Heterogeneity in Bayesian Factor Analysis : A Cross-National Investigation of Schwartz Values

    NARCIS (Netherlands)

    Stakhovych, Stanislav; Bijmolt, Tammo H. A.; Wedel, Michel

    2012-01-01

    In this article, we present a Bayesian spatial factor analysis model. We extend previous work on confirmatory factor analysis by including geographically distributed latent variables and accounting for heterogeneity and spatial autocorrelation. The simulation study shows excellent recovery of the

  17. Practical Considerations for Using Exploratory Factor Analysis in Educational Research

    Science.gov (United States)

    Beavers, Amy S.; Lounsbury, John W.; Richards, Jennifer K.; Huck, Schuyler W.; Skolits, Gary J.; Esquivel, Shelley L.

    2013-01-01

    The uses and methodology of factor analysis are widely debated and discussed, especially the issues of rotational use, methods of confirmatory factor analysis, and adequate sample size. The variety of perspectives and often conflicting opinions can lead to confusion among researchers about best practices for using factor analysis. The focus of the…

  18. A confirmatory bifactor analysis of the Inventory of Interpersonal Problems--Circumplex and associations of interpersonal traits across multiple relationship contexts and measures.

    Science.gov (United States)

    Wilson, Sylia; Revelle, William; Stroud, Catherine B; Durbin, C Emily

    2013-06-01

    The present study examined associations between interpersonal traits, measured using self-reports on the Inventory of Interpersonal Problems--Circumplex version (IIP-C), and interpersonal functioning in romantic and parent-child relationships, measured using multiple methods and reporters, among a community sample of 157 families (mothers, fathers, and their 3- to 6-year-old children). First, we conducted confirmatory factor analysis to explicitly test the fit of a bifactor model, derived from previous exploratory analyses of the underlying structure of the IIP-C and consisting of a shared general factor (Distress) and 2 specific factors (Dominance, Love). Next, we conducted multilevel modeling analyses that examined associations between these interpersonal traits and mothers' and fathers' interpersonal functioning while accounting for the nested nature of the data (mother-father, mother-child, and father-child dyads nested within families). Higher levels of Distress and Dominance were associated with lower quality functioning in romantic and parent-child relationships, and, to a lesser extent, Love was associated with higher quality functioning; there was some evidence of curvilinear associations for Dominance with interpersonal functioning. Moderating effects of parent sex revealed several associations that were specific to mothers or to fathers. Findings speak to the nature of interpersonal traits and their behavioral manifestations across different relationships, interaction partners, and interpersonal constructs.

  19. Coupling paper-based microfluidics and lab on a chip technologies for confirmatory analysis of trinitro aromatic explosives.

    Science.gov (United States)

    Pesenti, Alessandra; Taudte, Regina Verena; McCord, Bruce; Doble, Philip; Roux, Claude; Blanes, Lucas

    2014-05-20

    A new microfluidic paper-based analytical device (μPAD) in conjunction with confirmation by a lab on chip analysis was developed for detection of three trinitro aromatic explosives. Potassium hydroxide was deposited on the μPADs (0.5 μL, 1.5 M), creating a color change reaction when explosives are present, with detection limits of approximately 7.5 ± 1.0 ng for TNB, 12.5 ± 2.0 ng for TNT and 15.0 ± 2.0 ng for tetryl. For confirmatory analysis, positive μPADs were sampled using a 5 mm hole-punch, followed by extraction of explosives from the punched chad in 30 s using 20 μL borate/SDS buffer. The extractions had efficiencies of 96.5 ± 1.7%. The extracted explosives were then analyzed with the Agilent 2100 Bioanalyzer lab on a chip device with minimum detectable amounts of 3.8 ± 0.1 ng for TNB, 7.0 ± 0.9 ng for TNT, and 4.7 ± 0.2 ng for tetryl. A simulated in-field scenario demonstrated the feasibility of coupling the μPAD technique with the lab on a chip device to detect and identify 1 μg of explosives distributed on a surface of 100 cm(2).

  20. Confirmatory analysis and detail design of the magnet system for mirror fusion test facility (MFTF)

    Energy Technology Data Exchange (ETDEWEB)

    Tatro, R.E.; Baldi, R.W.

    1978-10-01

    This summary covers the six individual reports delivered to the LLL MFTF program staff. They are: (1) literature survey (helium heat transfer), (2) thermodynamic analysis, (3) structural analysis, (4) manufacturing/producibility study, (5) instrumentation plan and (6) quality assurance report. (MOW)

  1. A multi-group confirmatory factor analyses of the LupusPRO between southern California and Filipino samples of patients with systemic lupus erythematosus.

    Science.gov (United States)

    Azizoddin, D R; Olmstead, R; Cost, C; Jolly, M; Ayeroff, J; Racaza, G; Sumner, L A; Ormseth, S; Weisman, M; Nicassio, P M

    2017-08-01

    Introduction Systemic lupus erythematosus (SLE) leads to a range of biopsychosocial health outcomes through an unpredictable and complex disease path. The LupusPRO is a comprehensive, self-report measure developed specifically for populations with SLE, which assesses both health-related quality of life and non-health related quality of life. Given its increasingly widespread use, additional research is needed to evaluate the psychometric integrity of the LupusPRO across diverse populations. The objectives of this study were to evaluate the performance of the LupusPRO in two divergent patient samples and the model fit between both samples. Methods Two diverse samples with SLE included 136 patients from an ethnically-diverse, urban region in southern California and 100 from an ethnically-homogenous, rural region in Manila, Philippines. All patients met the ACR classification criteria for SLE. Confirmatory factor analysis (CFAs) were conducted in each sample separately and combined to provide evidence of the factorial integrity of the 12 subscales in the LupusPRO. Results Demographic analyses indicated significant differences in age, disease activity and duration, education, income, insurance, and medication use between groups. Results of the separate CFAs indicated moderate fit to the data for the hypothesized 12-factor model for both the Manila and southern California groups, respectively [χ(2) (794) = 1283.32, p factor structures of the LupusPRO in the southern California and Manila groups were constrained to be equal between the two groups, findings revealed that the factor structures of measured variables fit the two groups reasonably well [χ(2 ) (1697) = 2950.413, df = 1697, p model fit improved significantly [χ(2) (15) = 147.165, p < 0.000]. Conclusions This research provides significant support for the subscale structure of the LupusPRO in two disparate cultural samples of SLE patients. Despite significant sociodemographic and

  2. Turning the hands of time again: a purely confirmatory replication study and a Bayesian analysis.

    Science.gov (United States)

    Wagenmakers, Eric-Jan; Beek, Titia F; Rotteveel, Mark; Gierholz, Alex; Matzke, Dora; Steingroever, Helen; Ly, Alexander; Verhagen, Josine; Selker, Ravi; Sasiadek, Adam; Gronau, Quentin F; Love, Jonathon; Pinto, Yair

    2015-01-01

    In a series of four experiments, Topolinski and Sparenberg (2012) found support for the conjecture that clockwise movements induce psychological states of temporal progression and an orientation toward the future and novelty. Here we report the results of a preregistered replication attempt of Experiment 2 from Topolinski and Sparenberg (2012). Participants turned kitchen rolls either clockwise or counterclockwise while answering items from a questionnaire assessing openness to experience. Data from 102 participants showed that the effect went slightly in the direction opposite to that predicted by Topolinski and Sparenberg (2012), and a preregistered Bayes factor hypothesis test revealed that the data were 10.76 times more likely under the null hypothesis than under the alternative hypothesis. Our findings illustrate the theoretical importance and practical advantages of preregistered Bayes factor replication studies, both for psychological science and for empirical work in general.

  3. Turning the Hands of Time Again: A Purely Confirmatory Replication Study and a Bayesian Analysis

    Directory of Open Access Journals (Sweden)

    Eric-Jan eWagenmakers

    2015-04-01

    Full Text Available In a series of four experiments, Topolinski and Sparenberg (2012; TS found support for the conjecture that clockwise movements induce psychological states of temporal progression and an orientation toward the future and novelty. Here we report the results of a preregistered replication attempt of Experiment 2 from TS. Participants turned kitchen rolls either clockwise or counterclockwise while answering items from a questionnaire assessing openness to experience. Data from 102 participants showed that the effect went slightly in the direction opposite to that predicted by TS, and a preregistered Bayes factor hypothesis test revealed that the data were 10.76 times more likely under the null hypothesis than under the alternative hypothesis. Our findings illustrate the theoretical importance and practical advantages of preregistered Bayes factor replication studies, both for psychological science and for empirical work in general.

  4. Simultaneous quantification of amphetamine, opiates, ketamine and relative metabolites in urine for confirmatory analysis by liquid chromatography tandem mass spectrometry.

    Science.gov (United States)

    Lin, Huei-Ru; Choi, Ka-Ian; Lin, Tzu-Chieh; Hu, Anren

    2013-06-15

    The rise in amphetamine, ketamine and opiates abuse in Taiwan has created a need for a reliable confirmatory assay. A method that combines superficially porous liquid chromatography tandem mass spectrometry (LC-MS/MS) with solid-phase extraction (SPE) was developed for the simultaneous quantification of amphetamine, 3,4-methylenedioxymethamphetamine (MDMA), ketamine, opiates, and their corresponding metabolites in urine. The total run time of the method was 6.7min including equilibration time. The method was validated in accordance with the European Commission (EC) Decision 2002/642/EC. The within- and between-day precision was below 13.6% and the accuracy ranged from -17.1% to +9.9% for all analytes. Ion suppression was observed but compensated by using deuterated internal standards. No carryover was detected and the analytes were stable at room temperature for 16h, and for 72h at 4°C, and three-thaw cycles. The method was further validated by comparison with a reference gas chromatography-mass spectrometry (GC-MS) method, using 52 authentic urine samples. The results indicated that for the target analytes studied, the LC-MS/MS analysis was as precise, accurate, and specific as the GC-MS method. In conclusion, the present LC-MS/MS method is robust and reliable, and suitable for use as a confirmation assay in the simultaneous urine drug testing and quantification of amphetamines, ketamines, and opiates.

  5. 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.

  6. Exploratory and confirmatory factory analysis of the Willingness to Eat Whole Grains Questionnaire: A measure of young adults' attitudes toward consuming whole grain foods.

    Science.gov (United States)

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

    2016-10-01

    Whole grains are recommended by dietary guidelines because of their health-promoting properties, yet attitudes toward consuming these foods have not been examined. This study developed and validated a questionnaire to estimate willingness to consume whole grain foods. Focus group interviews with high school students and input from nutrition educators produced a list of 10 whole grain items that were included in the "Willingness to Eat Whole Grains Questionnaire". Young adult university students 18-29 years of age indicated their willingness to consume each of the whole grain foods using a 4-point, Likert-type scale with responses ranging from "always unwilling" to "always willing" and a fifth option of "never eaten". Participants' age, race/ethnicity, and gender were collected. Data were examined using exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and test-retest reliability. The EFA test (n = 266; 65% female; 69% white) using principal axis factoring returned a single factor that included all survey items and explained 58.3% of the variance. The CFA (n = 252; 62% female, 74% white) supported a single-factor solution: χ(2) = 80.57 (35); RMSEA = 0.07; Comparative Fit Index = 0.92; Tucker-Lewis Index = 0.90; and SRMR = 0.05. The questionnaire, administered on two occasions separated by two weeks to 36 university students, demonstrated good testretest reliability (r = 0.87, p Whole Grains Questionnaire" had good face validity when used with a young adult population and will be a useful tool to help nutrition educators examine attitudes toward consuming nutrient-rich whole grain foods.

  7. Confirmatory factorial analysis of the Brazilian version of the Competitive State Anxiety Inventory-2 (CSAI-2).

    Science.gov (United States)

    Coelho, Eduarda Maria; Vasconcelos-Raposo, José; Mahl, Alvaro Cielo

    2010-05-01

    The aim of this study was to assess the factorial structure of the Brazilian version of CSAI-2, using several structures suggested in previous studies. Two samples consisted of Brazilian soccer players, 266 from regional level (age 22.87 +/- 4.08 years; athletic experience 11.32 +/- 4.15 years) and 263 from national level (age 23.16 +/- 4.37 years; athletic experience 11.11 +/- 4.78 years) were used. The CSAI-2 is a 27-item inventory that measures negativism, physiological activation and self-confidence in a competitive setting. The results of CFA according to the original structure showed some inadequacy of the model. The model proposed by Cox, Martens, Russell (2003), composed of three factors (17-item), demonstrated better adjustment to the regional level sample (chi2/df = 1.871, CFI = .934, GFI = .916, RMSEA = .057), while the model suggested by Coelho, Vasconcelos-Raposo, Fernandes (2007), composed of two factors (18-item), adapted better to the national level sample (chi2/df = 1.701, CFI = .924, GFI = .914, RMSEA = .052). When we analyzed the two samples together, Coelho et al. (2007) was the better model, because it displayed greater invariance. The use of this model was suggested in the assessment of intensity of negative thoughts and the subsequent confirmation of its psychometric properties is recommended.

  8. A CONFIRMATORY APPROACH TO MEASURING RISKS IN SUPPLY CHAINS

    Directory of Open Access Journals (Sweden)

    Constangioara Alexandru

    2014-07-01

    Our proposed research methodology reveals the advantages of a confirmatory factor analysis over an exploratory principal component analysis in the context of risks management in supply chains. Moreover, as Sodhi and Tang (2012 reveals, more than half of papers in existing SCRM literature are either conceptual or qualitative empirical (case studies. Our proposed quantitative methodology contributes to reducing the above mentioned gap, providing results that can be used for statistical inferences and for enhancing the efficiency of the managerial decisional process.

  9. Determining Motivators and Hygiene Factors among Excellent Teachers in Malaysia: An Experience of Confirmatory Factor Analysis

    Science.gov (United States)

    Amzat, Ismail Hussein; Don, Yahya; Fauzee, Sofian Omar; Hussin, Fauzi; Raman, Arumugam

    2017-01-01

    Purpose: In a world in which successful learning is believed to rest on the methods of teaching and the performance of students is determined by teacher quality, it is clear that teachers are the backbone of student learning attainments. In such a scenario, teacher development, welfare, motivation, and satisfaction are crucial for better teaching…

  10. A critical assessment of the performance criteria in confirmatory analysis for veterinary drug residue analysis using mass spectrometric detection in selected reaction monitoring mode.

    Science.gov (United States)

    Berendsen, Bjorn J A; Meijer, Thijs; Wegh, Robin; Mol, Hans G J; Smyth, Wesley G; Armstrong Hewitt, S; van Ginkel, Leen; Nielen, Michel W F

    2016-05-01

    Besides the identification point system to assure adequate set-up of instrumentation, European Commission Decision 2002/657/EC includes performance criteria regarding relative ion abundances in mass spectrometry and chromatographic retention time. In confirmatory analysis, the relative abundance of two product ions, acquired in selected reaction monitoring mode, the ion ratio should be within certain ranges for confirmation of the identity of a substance. The acceptable tolerance of the ion ratio varies with the relative abundance of the two product ions and for retention time, CD 2002/657/EC allows a tolerance of 5%. Because of rapid technical advances in analytical instruments and new approaches applied in the field of contaminant testing in food products (multi-compound and multi-class methods) a critical assessment of these criteria is justified. In this study a large number of representative, though challenging sample extracts were prepared, including muscle, urine, milk and liver, spiked with 100 registered and banned veterinary drugs at levels ranging from 0.5 to 100 µg/kg. These extracts were analysed using SRM mode using different chromatographic conditions and mass spectrometers from different vendors. In the initial study, robust data was collected using four different instrumental set-ups. Based on a unique and highly relevant data set, consisting of over 39 000 data points, the ion ratio and retention time criteria for applicability in confirmatory analysis were assessed. The outcomes were verified based on a collaborative trial including laboratories from all over the world. It was concluded that the ion ratio deviation is not related to the value of the ion ratio, but rather to the intensity of the lowest product ion. Therefore a fixed ion ratio deviation tolerance of 50% (relative) is proposed, which also is applicable for compounds present at sub-ppb levels or having poor ionisation efficiency. Furthermore, it was observed that retention time

  11. 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).

  12. 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.

  13. Comparison of Methods for Adjusting Incorrect Assignments of Items to Subtests Oblique Multiple Group Method Versus Confirmatory Common Factor Method

    NARCIS (Netherlands)

    Stuive, Ilse; Kiers, Henk A.L.; Timmerman, Marieke E.

    2009-01-01

    A common question in test evaluation is whether an a priori assignment of items to subtests is supported by empirical data. If the analysis results indicate the assignment of items to subtests under study is not supported by data, the assignment is often adjusted. In this study the authors compare t

  14. Personality, Psychopathology, and Psychotherapy: A Pre-specified Analysis Protocol for Confirmatory Research on Personality–Psychopathology Associations in Psychotherapy Outpatients

    Science.gov (United States)

    Hengartner, Michael P.; Yamanaka-Altenstein, Misa

    2017-01-01

    The role of personality trait variation in psychopathology and its influence on the outcome of psychotherapy is a burgeoning field. However, thus far most findings were based on controlled clinical trials that may only poorly represent real-world clinical settings due to highly selective samples mostly restricted to patients with major depression undergoing antidepressive medication. Focusing on personality and psychopathology in a representative naturalistic sample of psychotherapy patients is therefore worthwhile. Moreover, up to date hardly any confirmatory research has been conducted in this field. Strictly confirmatory research implies two major requirements: firstly, specific hypotheses, including expected effect sizes and statistical approaches to data analysis, must be detailed prior to inspection of the data, and secondly, corresponding protocols have to be published online and freely available. Here, we introduce a longitudinal naturalistic study aimed at examining, firstly, the prospective impact of baseline personality traits on the outcome of psychotherapy over a 6-month observation period; secondly, the stability and change in personality traits over time; thirdly, the association between longitudinal change in psychopathology and personality; fourthly, the agreement between self-reports and informant rating of personality; and fifthly, the predictive validity of personality self-reports compared to corresponding informant ratings. For it, we comprehensively state a priori hypotheses, predict the expected effect sizes and detail the statistical analyses that we intend to conduct to test these predictions. Such a stringent confirmatory design increases the transparency and objectivity of psychopathological research, which is necessary to reduce the rate of false-positive findings and to increase the yield of scientific research. PMID:28203209

  15. Factor Analysis of the Aberrant Behavior Checklist in Individuals with Autism Spectrum Disorders

    Science.gov (United States)

    Brinkley, Jason; Nations, Laura; Abramson, Ruth K.; Hall, Alicia; Wright, Harry H.; Gabriels, Robin; Gilbert, John R.; Pericak-Vance, Margaret A. O.; Cuccaro, Michael L.

    2007-01-01

    Exploratory factor analysis (varimax and promax rotations) of the aberrant behavior checklist-community version (ABC) in 275 individuals with Autism spectrum disorder (ASD) identified four- and five-factor solutions which accounted for greater than 70% of the variance. Confirmatory factor analysis (Lisrel 8.7) revealed indices of moderate fit for…

  16. Simultaneous confirmatory analysis of different transgenic maize (zea mays) lines using multiplex polymerase chain reaction-restriction analysis and capillary gel electrophoresis with laser induced fluorescence detection.

    Science.gov (United States)

    García-Cañas, Virginia; Cifuentes, Alejandro

    2008-09-24

    A novel analytical procedure based on the combination of multiplex PCR, restriction analysis, and CGE-LIF to unambiguosly and simultaneously confirm the presence of multiple lines of genetically modified corn is proposed. This methodology is based on the amplification of event-specific DNA regions by multiplex PCR using 6-FAM-labeled primers. Subsequently, PCR products are digested by a mixture containing specific restriction endonucleases. Thus, restriction endonucleases selectively recognize DNA target sequences contained in the PCR products and cleave the double-stranded DNA at a given cleavage site. Next, the restriction digest is analyzed by CGE-LIF corroborating the length of the expected restriction fragments, confirming (or not) the existence of GMOs. For accurate size determination of the DNA fragments by CGE-LIF a special standard DNA mixture was produced in this laboratory for calibration. The suitability of this mixture for size determination of labeled DNA fragments is also demonstrated. The usefulness of the proposed methodology is demonstrated through the simultaneous detection and confirmatory analysis of samples containing 0.5% of GA21 and MON863 maize plus an endogenous gene of maize as control.

  17. Confirmatory analysis method for zeranol, its metabolites and related mycotoxins in urine by liquid chromatography-negative ion electrospray tandem mass spectrometry

    Energy Technology Data Exchange (ETDEWEB)

    Bennekom, E.O. van; Brouwer, L.; Laurant, E.H.M.; Hooijerink, H.; Nielen, M.W.F

    2002-11-25

    The determination of the banned anabolic substance zeranol and the metabolites taleranol and zearalanone in bovine urine is complicated by the occurrence of the structurally-related mycotoxin zearalenone and the corresponding {alpha}- and {beta}-zearalenol metabolites which possess similar estrogenic properties. A liquid chromatography-negative ion electrospray tandem mass spectrometric method is presented for the confirmatory analysis of all six resorcylic acid lactones ('zeranols') in urine samples using deuterium-labelled internal standards. The method was validated as a confirmatory method for bovine urine samples according to new draft EU guidelines and showed good precision and linearity, and CC{alpha} and CC{beta} values of 0.02-0.30 and <1.0 ng ml{sup -1}, respectively. The applicability was demonstrated by comparing the results of an incurred sample with previous results on the same sample obtained by gas chromatography high resolution mass spectrometry. Preliminary data show that following a simple matrix solid phase dispersion clean-up, liver samples from poultry will be amenable to this method as well.

  18. Development and validation of confirmatory method for analysis of nitrofuran metabolites in milk, honey, poultry meat and fish by liquid chromatography-mass spectrometry

    Directory of Open Access Journals (Sweden)

    Fatih Alkan

    2016-03-01

    Full Text Available In this study we have devoloped and validated a confirmatory analysis method for nitrofuran metabolites, which is in accordance with European Commission Decision 2002/657/EC requirements. Nitrofuran metabolites in honey, milk, poultry meat and fish samples were acidic hydrolised followed by derivatisation with nitrobenzaldehyde and liquid-liquid extracted with ethylacetate. The quantitative and confirmative determination of nitrofuran metbolites was performed by liquid chromatography/electrospray ionisation tandem mass spectrometry (LC/ESI-MS/MS in the positive ion mode. In-house method validation was performed and reported data of validation (specificity, linearity, recovery, CCα and CCβ. The advantage of this method is that it avoids the use of clean-up by Solid-Phase Extraction (SPE. Furthermore, low levels of nitrofuran metabolites are detectable and quantitatively confirmed at a rapid rate in all samples.

  19. Spatial Dependence and Heterogeneity in Bayesian Factor Analysis: A Cross-National Investigation of Schwartz Values

    Science.gov (United States)

    Stakhovych, Stanislav; Bijmolt, Tammo H. A.; Wedel, Michel

    2012-01-01

    In this article, we present a Bayesian spatial factor analysis model. We extend previous work on confirmatory factor analysis by including geographically distributed latent variables and accounting for heterogeneity and spatial autocorrelation. The simulation study shows excellent recovery of the model parameters and demonstrates the consequences…

  20. Spatial Dependence and Heterogeneity in Bayesian Factor Analysis: A Cross-National Investigation of Schwartz Values

    Science.gov (United States)

    Stakhovych, Stanislav; Bijmolt, Tammo H. A.; Wedel, Michel

    2012-01-01

    In this article, we present a Bayesian spatial factor analysis model. We extend previous work on confirmatory factor analysis by including geographically distributed latent variables and accounting for heterogeneity and spatial autocorrelation. The simulation study shows excellent recovery of the model parameters and demonstrates the consequences…

  1. Spatial Dependence and Heterogeneity in Bayesian Factor Analysis : A Cross-National Investigation of Schwartz Values

    NARCIS (Netherlands)

    Stakhovych, Stanislav; Bijmolt, Tammo H. A.; Wedel, Michel

    2012-01-01

    In this article, we present a Bayesian spatial factor analysis model. We extend previous work on confirmatory factor analysis by including geographically distributed latent variables and accounting for heterogeneity and spatial autocorrelation. The simulation study shows excellent recovery of the mo

  2. 运动员心智游移认知结构模型研究--基于探索性因素分析和验证性因素分析的方法%A Cognitive Structure Model Study on Mind Wandering of Athletes--Based on Exploratory as wel1 as Confirmatory Factor Analysis

    Institute of Scientific and Technical Information of China (English)

    孙福成; 陈欣; 李波; 马玉芳

    2014-01-01

    采用自编的《运动员心智游移认知结构问卷》,运用问卷法、探索性因素分析和验证性因素分析等方法,构建并验证了三个初阶因子的运动员心智游移认知结构模型。研究表明:运动员心智游移因素具有可靠性和有效性,其基本结构由任务、环境和情绪等三个因子构成。研究为运动队评估运动员心智游移认知取向提供理论依据和实证工具。%Based on a questionnaire survey as wel1 as EFA and CFA,a cognitive structural model has been developed to investigate mind wandering of athletes.The mode1 reveals the typica1 phases and factors of mind wandering. The study shows that the effective and reliable cognitive structure of mind wandering consist of three dimensions,namely,task,environment and emotion.The mode1 may be used as a theoretical basis and empirical tool for sports teams to evaluate cognitive orientation of athletes.

  3. Analysis of body fluids for forensic purposes: from laboratory testing to non-destructive rapid confirmatory identification at a crime scene.

    Science.gov (United States)

    Virkler, Kelly; Lednev, Igor K

    2009-07-01

    Body fluid traces recovered at crime scenes are among the most important types of evidence to forensic investigators. They contain valuable DNA evidence which can identify a suspect or victim as well as exonerate an innocent individual. The first step of identifying a particular body fluid is highly important since the nature of the fluid is itself very informative to the investigation, and the destructive nature of a screening test must be considered when only a small amount of material is available. The ability to characterize an unknown stain at the scene of the crime without having to wait for results from a laboratory is another very critical step in the development of forensic body fluid analysis. Driven by the importance for forensic applications, body fluid identification methods have been extensively developed in recent years. The systematic analysis of these new developments is vital for forensic investigators to be continuously educated on possible superior techniques. Significant advances in laser technology and the development of novel light detectors have dramatically improved spectroscopic methods for molecular characterization over the last decade. The application of this novel biospectroscopy for forensic purposes opens new and exciting opportunities for the development of on-field, non-destructive, confirmatory methods for body fluid identification at a crime scene. In addition, the biospectroscopy methods are universally applicable to all body fluids unlike the majority of current techniques which are valid for individual fluids only. This article analyzes the current methods being used to identify body fluid stains including blood, semen, saliva, vaginal fluid, urine, and sweat, and also focuses on new techniques that have been developed in the last 5-6 years. In addition, the potential of new biospectroscopic techniques based on Raman and fluorescence spectroscopy is evaluated for rapid, confirmatory, non-destructive identification of a body

  4. Triclosan and methyl-triclosan monitoring study in the northeast of Spain using a magnetic particle enzyme immunoassay and confirmatory analysis by gas chromatography mass spectrometry

    Science.gov (United States)

    Kantiani, Lina; Farré, Marinella; Asperger, Danijela; Rubio, Fernando; González, Susana; López de Alda, Maria J.; Petrović, Mira; Shelver, Weilin L.; Barceló, Damià

    2008-10-01

    SummaryFor the first time, the occurrence of triclosan and its metabolite methyl-triclosan was investigated in a typical Mediterranean area using a two-step methodology based on screening using a magnetic particle immunoassay (IA) and confirmatory analysis by solid phase extraction (SPE) followed by gas chromatography-mass spectrometry (GC-MS). In this study, 95 environmental samples were analyzed. A commercial immunoassay was assessed for use in the different types of water selected for this study. A large monitoring study was performed on the influent and the effluent of eight wastewater treatment plants (WWTPs), water samples from Ebro and Llobregat rivers, and drinking water. All wastewater samples tested in this study (influents and effluents) showed the presence of triclosan, with concentrations for raw influents being high (10 μg/L as average value). The percentages of triclosan removal for the WWTPs were evaluated (30-70%) along the different treatment processes showing that the best removal rates were obtained by the processes equipped with membrane bioreactors (MBRs). However, important concentrations of triclosan were detected even after treatment by MBRs. The presence of this biocide was confirmed in 50% of the river samples analyzed. Twenty two drinking water samples from the Barcelona city area were investigated, and in this case no triclosan was detected. Due to its properties and the widespread usage of triclosan, there is a need for monitoring and controlling the amounts present in wastewater effluents, river water, drinking water catchments areas, and drinking water. To this end, we present a feasible methodology using a magnetic particle-based immunoassay as a screening, followed by confirmatory analysis using solid phase extraction-gas chromatography-mass spectrometry (SPE-GC-MS).

  5. Estimation of sensitivity and specificity of bacteriology, histopathology and PCR for the confirmatory diagnosis of bovine tuberculosis using latent class analysis.

    Directory of Open Access Journals (Sweden)

    Aurélie Courcoul

    Full Text Available Bacteriology and histopathology are the most commonly used tests used for official confirmatory diagnosis of bovine tuberculosis (bTB in cattle in most countries. PCR is also being used increasingly because it allows a fast diagnosis. This test could be applied as a supplement to or replacement for current bTB confirmatory diagnostic tests but its characteristics have first to be evaluated. The aim of this study was to estimate and compare sensitivities and specificities of bacteriology, histopathology and PCR under French field conditions, in the absence of a gold standard using latent class analysis. The studied population consisted of 5,211 animals from which samples were subjected to bacteriology and PCR (LSI VetMAX™ Mycobacterium tuberculosis Complex PCR Kit, Life Technologies as their herd of origin was either suspected or confirmed infected with bTB or because bTB-like lesions were detected during slaughterhouse inspection. Samples from 697 of these animals (all with bTB-like lesions were subjected to histopathology. Bayesian models were developed, allowing for dependence between bacteriology and PCR, while assuming independence from histopathology. The sensitivity of PCR was higher than that of bacteriology (on average 87.7% [82.5-92.3%] versus 78.1% [72.9-82.8%] while specificity of both tests was very good (on average 97.0% for PCR [94.3-99.0%] and 99.1% for bacteriology [97.1-100.0%]. Histopathology was at least as sensitive as PCR (on average 93.6% [89.9-96.9%] but less specific than the two other tests (on average 83.3% [78.7-87.6%]. These results suggest that PCR has the potential to replace bacteriology to confirm bTB in samples submitted from suspect cattle.

  6. Confirmatory Factor Analysis of the Scales for Diagnosing Attention Deficit Hyperactivity Disorder (SCALES)

    Science.gov (United States)

    Ryser, Gail R.; Campbell, Hilary L.; Miller, Brian K.

    2010-01-01

    The diagnostic criteria for attention deficit hyperactivity disorder have evolved over time with current versions of the "Diagnostic and Statistical Manual", (4th edition), text revision, ("DSM-IV-TR") suggesting that two constellations of symptoms may be present alone or in combination. The SCALES instrument for diagnosing attention deficit…

  7. Confirmatory Factor Analysis of the Beck Depression Inventory-II in Bariatric Surgery Candidates

    Science.gov (United States)

    Hall, Brian J.; Hood, Megan M.; Nackers, Lisa M.; Azarbad, Leila; Ivan, Iulia; Corsica, Joyce

    2013-01-01

    Screening for depression is an integral part of psychological evaluations conducted prior to bariatric surgery. The Beck Depression Inventory-II (BDI-II) is the most commonly used measure of depression in these treatment evaluations. The reliability and validity of the BDI-II has not yet been evaluated within bariatric surgery-seeking samples,…

  8. IQs Are Very Strong but Imperfect Indicators of Psychometric "g": Results from Joint Confirmatory Factor Analysis

    Science.gov (United States)

    Farmer, Ryan L.; Floyd, Randy G.; Reynolds, Matthew R.; Kranzler, John H.

    2014-01-01

    The most global score yielded by intelligence tests, IQs, are supported by substantial validity evidence and have historically been central to the identification of intellectual disabilities, learning disabilities, and giftedness. This study examined the extent to which IQs measure the ability they target, psychometric "g." Data from…

  9. A Confirmatory Factor Analysis of the Motivated Self-Regulated Learning Questionnaire in an EFL Context

    Science.gov (United States)

    Ayatollahi, Mohammad Ali; Rasekh, Abbas Eslami; Tavakoli, Mansoor

    2011-01-01

    The Motivated Strategies for Learning Questionnaire (MSLQ) is an instrument for measuring motivation and learning strategies in general education. This instrument is modular, consisting of motivation and learning strategies modules. This study sought to see whether the learning strategies module of this instrument can be applied to the context of…

  10. Confirmatory Factor Analysis of the Scales for Diagnosing Attention Deficit Hyperactivity Disorder (SCALES)

    Science.gov (United States)

    Ryser, Gail R.; Campbell, Hilary L.; Miller, Brian K.

    2010-01-01

    The diagnostic criteria for attention deficit hyperactivity disorder have evolved over time with current versions of the "Diagnostic and Statistical Manual", (4th edition), text revision, ("DSM-IV-TR") suggesting that two constellations of symptoms may be present alone or in combination. The SCALES instrument for diagnosing attention deficit…

  11. Adaptation, data quality and confirmatory factor analysis of the Danish version of the PACIC questionnaire

    DEFF Research Database (Denmark)

    Maindal, Helle Terkildsen; Sokolowski, Ineta; Vedsted, Peter

    2012-01-01

    Internationalt bruges PACIC-spørgeskemaet til at måle patienter med kronisk sygdom til evaluering af sundhedsvæsenets indsats. Vi lavede en videnskabelig og standardiseret oversættelse af den engelske version. Vi genfandt de fem skalaer, som endvidere viste gode egenskaber for et spørgeskema. Der...

  12. Confirmatory Factor Analysis of the Teacher Efficacy Scale for Prospective Teachers

    Science.gov (United States)

    Denzine, Gypsy M.; Cooney, John B.; McKenzie, Rita

    2005-01-01

    Background: Research on teacher self-efficacy has revealed substantive problems concerning the validity of instruments used to measure teacher self-efficacy beliefs. Although claims about the influence of teachers' self-efficacy beliefs on student achievement, success with curriculum innovation, and so on, may be true statements, one cannot make…

  13. Confirmatory factor analysis of the thyroid-related quality of life questionnaire ThyPRO

    DEFF Research Database (Denmark)

    Grønvold, Mogens; Deng, N; Gandek, B;

    2014-01-01

    .ResultsEach ThyPRO scale was adequately represented by a unidimensional model after minor revisions. Eleven items were identified in the unidimensional models as potentially misfitting and were investigated further by multidimensional modeling.ConclusionElaborate psychometric modeling supported the construct...

  14. Using Confirmatory Factor Analysis to Understand Executive Control in Preschool Children: I. Latent Structure

    Science.gov (United States)

    Wiebe, Sandra A.; Espy, Kimberly Andrews; Charak, David

    2008-01-01

    Although many tasks have been developed recently to study executive control in the preschool years, the constructs that underlie performance on these tasks are poorly understood. In particular, it is unclear whether executive control is composed of multiple, separable cognitive abilities (e.g., inhibition and working memory) or whether it is…

  15. Convergence, Admissibility, and Fit of Alternative Confirmatory Factor Analysis Models for MTMM Data

    Science.gov (United States)

    Lance, Charles E.; Fan, Yi

    2016-01-01

    We compared six different analytic models for multitrait-multimethod (MTMM) data in terms of convergence, admissibility, and model fit to 258 samples of previously reported data. Two well-known models, the correlated trait-correlated method (CTCM) and the correlated trait-correlated uniqueness (CTCU) models, were fit for reference purposes in…

  16. Identification of Effective Leadership Indicators in Ghanaian Retail Banks Using AMOS-Based Confirmatory Factor Analysis

    DEFF Research Database (Denmark)

    Sanda, Aminu; Kuada, John

    2013-01-01

    In the light of the importance of banks to the economic growth process in Ghana, this study sought to identify the determinants of effective leadership style that is appreciated by employees in retail banking firms in Ghana, towards providing practitioners with crucial information that could enable...... them make informed decisions towards improving the workplace. Using data collected from employees in eleven firms which were analyzed using the AMOS programme, minimum was achieved for the leadership measurement model and the goodness of fit statistics showed that the overall model fit quite well...... and taking care of their complaints as well as putting in place systems for enhancing employees’ career advancement into specialist departments or management positions are also perceived as good determinant of leadership. It is therefore hypothesized that managers of retail banks in Ghana could be perceived...

  17. Confirmatory Factor Analysis of the WAIS-IV and WMS-IV in Older Adults

    Science.gov (United States)

    Miller, Delyana I.; Davidson, Patrick S. R.; Schindler, Dwayne; Messier, Claude

    2013-01-01

    New editions of the Wechsler Adult Intelligence and Memory scales are now available. Yet, given the significant changes in these new releases and the skepticism that has met them, independent evidence on their psychometric properties is much needed but currently lacking. We administered the WAIS-IV and the Older Adult version of the WMS-IV to 145…

  18. The development and validation of the organisational innovativeness construct using confirmatory factor analysis

    OpenAIRE

    Wang, Catherine; Ahmed, Pervaiz

    2004-01-01

    The role of organisational innovativeness, or innovative capability, in attaining competitive advantage has been widely discussed. Most research examines innovation activities and their associations to organisational characteristics, or investigates certain perspectives of innovative capability, such as product innovation. Much less attention, however, has been paid to develop and validate measurement constructs of organisational innovativeness. Through extensive literature review, we identif...

  19. Confirmatory Factor Analysis of the WAIS-IV and WMS-IV in Older Adults

    Science.gov (United States)

    Miller, Delyana I.; Davidson, Patrick S. R.; Schindler, Dwayne; Messier, Claude

    2013-01-01

    New editions of the Wechsler Adult Intelligence and Memory scales are now available. Yet, given the significant changes in these new releases and the skepticism that has met them, independent evidence on their psychometric properties is much needed but currently lacking. We administered the WAIS-IV and the Older Adult version of the WMS-IV to 145…

  20. Confirmatory Factor Analysis of the Beck Depression Inventory-II in Bariatric Surgery Candidates

    Science.gov (United States)

    Hall, Brian J.; Hood, Megan M.; Nackers, Lisa M.; Azarbad, Leila; Ivan, Iulia; Corsica, Joyce

    2013-01-01

    Screening for depression is an integral part of psychological evaluations conducted prior to bariatric surgery. The Beck Depression Inventory-II (BDI-II) is the most commonly used measure of depression in these treatment evaluations. The reliability and validity of the BDI-II has not yet been evaluated within bariatric surgery-seeking samples,…

  1. Confirmatory Factor Analysis of the Test of Gross Motor Development-2

    Science.gov (United States)

    Wong, Ka Yee Allison; Cheung, Siu Yin

    2010-01-01

    The purpose of this study was to examine the underlying structure of the second edition of the Test of Gross Motor Development-2 (Ulrich, 2000) as applied to Chinese children. The Test of Gross Motor Development-2 was administered to 626 Hong Kong Chinese children. The outlier test with standard scoring was utilized. After data screening, a total…

  2. Convergence, Admissibility, and Fit of Alternative Confirmatory Factor Analysis Models for MTMM Data

    Science.gov (United States)

    Lance, Charles E.; Fan, Yi

    2016-01-01

    We compared six different analytic models for multitrait-multimethod (MTMM) data in terms of convergence, admissibility, and model fit to 258 samples of previously reported data. Two well-known models, the correlated trait-correlated method (CTCM) and the correlated trait-correlated uniqueness (CTCU) models, were fit for reference purposes in…

  3. 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

  4. Factor Structure Analysis of the Schutte Self-Report Emotional Intelligence Scale on International Students

    Science.gov (United States)

    Ng, Kok-Mun; Wang, Chuang; Kim, Do-Hong; Bodenhorn, Nancy

    2010-01-01

    The authors investigated the factor structure of the Schutte Self-Report Emotional Intelligence (SSREI) scale on international students. Via confirmatory factor analysis, the authors tested the fit of the models reported by Schutte et al. and five other studies to data from 640 international students in the United States. Results show that…

  5. The Revised Two-Factor Study Process Questionnaire (R-SPQ-2F): Exploratory and Confirmatory Factor Analyses at Item Level

    Science.gov (United States)

    Justicia, Fernando; Pichardo, M. Carmen; Cano, Francisco; Berben, A. B. G.; De la Fuente, Jesus

    2008-01-01

    The underlying structure of the Revised Two Factor version of the Study Process Questionnaire (R-SPQ-2F), a 20-item instrument for the evaluation of students' approaches to learning (SAL), was examined at item level using two independent groups of undergraduate students enrolled in the first (n = 314) and last (n = 522) years of their studies. The…

  6. The Revised Two-Factor Study Process Questionnaire (R-SPQ-2F): Exploratory and Confirmatory Factor Analyses at Item Level

    Science.gov (United States)

    Justicia, Fernando; Pichardo, M. Carmen; Cano, Francisco; Berben, A. B. G.; De la Fuente, Jesus

    2008-01-01

    The underlying structure of the Revised Two Factor version of the Study Process Questionnaire (R-SPQ-2F), a 20-item instrument for the evaluation of students' approaches to learning (SAL), was examined at item level using two independent groups of undergraduate students enrolled in the first (n = 314) and last (n = 522) years of their studies. The…

  7. A Confirmatory Analysis of the Organ Donation Readiness Index: Measuring the Potential for Organ Donations among African Americans

    Science.gov (United States)

    Rice, Christopher; Tamburlin, Judith

    2004-01-01

    The need for transplant exceeds the number of available organs. Antigen compatible organs are particularly scarce for African Americans because of their proportionately lower rate of donations. This study presents a measure of organ donation readiness. Examination of the factor structure and a test of weak invariance were conducted on…

  8. Confirmatory Sampling and Analysis Plan for the Lower East Fork Poplar Creek operable unit, Oak Ridge, Tennessee

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1996-04-01

    On December 21, 1989, the EPA placed the US Department of Energy`s (DOE`s) Oak Ridge Reservation (ORR) on the National Priorities List (NPL). On January 1, 1992, a Federal Facilities Agreement (FFA) between the DOE Field Office in Oak Ridge (DOE-OR), EPA Region IV, and the Tennessee Department of Environment and Conservation (TDEC) went into effect. This FFA establishes the procedural framework and schedule by which DOE-OR will develop, coordinate, implement and monitor environmental restoration activities on the ORR in accordance with applicable federal and state environmental regulations. The DOE-OR Environmental Restoration Program for the ORR addresses the remediation of areas both within and outside the ORR boundaries. This sampling and analysis plan focuses on confirming the cleanup of the stretch of EFPC flowing from Lake Reality at the Y-12 Plant through the City of Oak Ridge, to Poplar Creek on the ORR and its associated floodplain. Both EFPC and its floodplain have been contaminated by releases from the Y-12 Plant since the mid-1950s. Because the EFPC site-designated as an ORR operable unit (OU) under the Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA) is included on the NPL, its remediation must follow the specific procedures mandated by CERCLA, as amended by the Superfund Amendments and Reauthorization Act in 1986.

  9. The role of self-perceived usefulness and competence in the self-esteem of elderly adults: confirmatory factor analyses of the Bachman revision of Rosenberg's Self-Esteem Scale.

    Science.gov (United States)

    Ranzijn, R; Keeves, J; Luszcz, M; Feather, N T

    1998-03-01

    This article reports on a confirmatory analytic study of the Bachman Revision (1970) of Rosenberg's Self-Esteem Scale (1965) that was used in the Australian Longitudinal Study of Ageing (ALSA). Participants comprised 1,087 elderly people aged between 70 and 103 years (mean 77 years). Five competing factor models were tested with LISREL8. The best-fitting model was a nested one, with a General Self-Esteem second-order factor and two first-order factors, Positive Self-regard and Usefulness/Competence. This model was validated with data from a later wave of ALSA. Usefulness and competence have received little attention in the gerontological literature to date. Preliminary results indicate that usefulness/competence may be an important predictor of well-being. Further work is required on the relationships among usefulness, competence, self-esteem, and well-being in elderly people.

  10. Bayesian Exploratory Factor Analysis

    DEFF Research Database (Denmark)

    Conti, Gabriella; Frühwirth-Schnatter, Sylvia; Heckman, James J.;

    2014-01-01

    This paper develops and applies a Bayesian approach to Exploratory Factor Analysis that improves on ad hoc classical approaches. Our framework relies on dedicated factor models and simultaneously determines the number of factors, the allocation of each measurement to a unique factor, and the corr......This paper develops and applies a Bayesian approach to Exploratory Factor Analysis that improves on ad hoc classical approaches. Our framework relies on dedicated factor models and simultaneously determines the number of factors, the allocation of each measurement to a unique factor......, and the corresponding factor loadings. Classical identification criteria are applied and integrated into our Bayesian procedure to generate models that are stable and clearly interpretable. A Monte Carlo study confirms the validity of the approach. The method is used to produce interpretable low dimensional aggregates...

  11. Factor Analysis with EM Algorithm Never Gives Improper Solutions when Sample Covariance and Initial Parameter Matrices Are Proper

    Science.gov (United States)

    Adachi, Kohei

    2013-01-01

    Rubin and Thayer ("Psychometrika," 47:69-76, 1982) proposed the EM algorithm for exploratory and confirmatory maximum likelihood factor analysis. In this paper, we prove the following fact: the EM algorithm always gives a proper solution with positive unique variances and factor correlations with absolute values that do not exceed one,…

  12. Factor Analysis with EM Algorithm Never Gives Improper Solutions when Sample Covariance and Initial Parameter Matrices Are Proper

    Science.gov (United States)

    Adachi, Kohei

    2013-01-01

    Rubin and Thayer ("Psychometrika," 47:69-76, 1982) proposed the EM algorithm for exploratory and confirmatory maximum likelihood factor analysis. In this paper, we prove the following fact: the EM algorithm always gives a proper solution with positive unique variances and factor correlations with absolute values that do not exceed one,…

  13. Mayo Older Americans Normative Studies: Factor Analysis of an Expanded Neuropsychological Battery

    OpenAIRE

    Greenaway, Melanie C.; Smith, Glenn E.; Tangalos, Eric G.; Geda, Yonas E.; Ivnik, Robert J.

    2008-01-01

    The Mayo Cognitive Factor Scores were derived from a “core battery” consisting of the WAIS-R, WMS-R, and Auditory Verbal Learning Test. The present study sought to clarify the factor structure of an expanded neuropsychological battery in normal elderly controls. Confirmatory factor analysis was performed on the WAIS-III, WRAT-3 Reading, Boston Naming Test, Controlled Oral Word Association Test, Category Fluency, Rey-Osterrieth Complex Figure, Visual Form Discrimination, and Trail Making Test ...

  14. Bayesian Exploratory Factor Analysis

    DEFF Research Database (Denmark)

    Conti, Gabriella; Frühwirth-Schnatter, Sylvia; Heckman, James J.

    2014-01-01

    This paper develops and applies a Bayesian approach to Exploratory Factor Analysis that improves on ad hoc classical approaches. Our framework relies on dedicated factor models and simultaneously determines the number of factors, the allocation of each measurement to a unique factor......, and the corresponding factor loadings. Classical identification criteria are applied and integrated into our Bayesian procedure to generate models that are stable and clearly interpretable. A Monte Carlo study confirms the validity of the approach. The method is used to produce interpretable low dimensional aggregates...

  15. 教师组织承诺影响因素的研究%The Analysis of Affecting Factors of Teacher Organization Commitments

    Institute of Scientific and Technical Information of China (English)

    宋爱红; 蔡永红

    2005-01-01

    The research objective was to investigate the antecedents of organizational commitment among the Chinese middle school teachers. A survey questionnaire was designed on the basis of semi-structured interview, data collection and scientific analysis. In data analysis, some forefront statistical methods, such as confirmatory factor analysis and path analysis, were employed. A new model on the antecedents of teachers' organizational commitment was developed.

  16. The structure of post-traumatic stress symptoms in survivors of war: confirmatory factor analyses of the Impact of Event Scale—Revised

    NARCIS (Netherlands)

    Morina, N.; Böhme, H.F.; Ajdukovic, D.; Bogic, M.; Franciskovic, T.; Galeazzi, G.M.; Kucukalic, A.; Lecic-Tosevski, D.; Popovski, M.; Schützwohl, M.; Stangier, U.; Priebe, S.

    2010-01-01

    The study aimed at establishing the factor structure of the Impact of Event Scale—Revised (IES-R) in survivors of war. A total sample of 4167 participants with potentially traumatic experiences during the war in Ex-Yugoslavia was split into three samples: two independent samples of people who stayed

  17. The structure of post-traumatic stress symptoms in survivors of war: confirmatory factor analyses of the Impact of Event Scale—Revised

    NARCIS (Netherlands)

    N. Morina; H.F. Böhme; D. Ajdukovic; M. Bogic; T. Franciskovic; G.M. Galeazzi; A. Kucukalic; D. Lecic-Tosevski; M. Popovski; M. Schützwohl; U. Stangier; S. Priebe

    2010-01-01

    The study aimed at establishing the factor structure of the Impact of Event Scale—Revised (IES-R) in survivors of war. A total sample of 4167 participants with potentially traumatic experiences during the war in Ex-Yugoslavia was split into three samples: two independent samples of people who stayed

  18. Factor Analysis and AIC.

    Science.gov (United States)

    Akaike, Hirotugu

    1987-01-01

    The Akaike Information Criterion (AIC) was introduced to extend the method of maximum likelihood to the multimodel situation. Use of the AIC in factor analysis is interesting when it is viewed as the choice of a Bayesian model; thus, wider applications of AIC are possible. (Author/GDC)

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

    Science.gov (United States)

    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.

  20. Confirmatory analysis of sulfonamide antibacterials in bovine liver and kidney: extraction with hot water and liquid chromatography coupled to a single- or triple-quadrupole mass spectrometer.

    Science.gov (United States)

    Bogialli, Sara; Curini, Roberta; Di Corcia, Antonio; Nazzari, Manuela; Sergi, Manuel

    2003-01-01

    A simple, specific, and rapid confirmatory method for determining 12 sulfonamide (SAs) antibacterials in bovine liver and kidney is presented. This method is based on the matrix solid-phase dispersion technique with hot water as extractant followed by liquid chromatography/mass spectrometry (LC/MS) with an electrospray ion source. The method was tailored for use with both single-quadrupole MS (I) and triple-quadrupole MS (II) instruments. After acidification and filtration of the aqueous extract, a 250-microL aliquot was injected into instrument I while only 25 microL was analyzed by instrument II. With instrument I MS data acquisition was performed in the selected ion monitoring (SIM) mode, selecting at least three ions for each target compound. With instrument II the selected reaction monitoring (SRM) mode with three fragmentation reactions for each compound was chosen. With the exception of sulfaquinoxaline (SQX), recovery of the analytes at the 50 ppb level in both liver and kidney was 72-96% with relative standard deviations (RSDs) ranging between 3 and 11%. The very poor recovery of SQX was due to its rapid enzymatic oxidation when in contact with the two tissues. With instrument I, limits of quantification (LOQs, S/N = 10) were 5-14 ppb of SAs. Even lower LOQs (1-8 ppb) were estimated by using instrument II, even though the extract volume analyzed was ten times lower than that with instrument I. With both matrices and using instrument I, severe ion signal suppression was experienced for the early-eluted SAs when trying to fractionate analytes by using a short chromatographic run time. This effect was traced to polar endogenous co-extractives eluted in the first part of the chromatographic run that interfered with gas-phase ion formation for SAs. Adopting more selective chromatographic conditions minimized this effect.

  1. Validation of a quantitative and confirmatory method for residue analysis of aminoglycoside antibiotics in poultry, bovine, equine and swine kidney through liquid chromatography-tandem mass spectrometry.

    Science.gov (United States)

    Almeida, M P; Rezende, C P; Souza, L F; Brito, R B

    2012-01-01

    The use of aminoglycoside antibiotics in food animals is approved in Brazil. Accordingly, Brazilian food safety legislation sets maximum levels for these drugs in tissues from these animals in an effort to guarantee that food safety is not compromised. Aiming to monitor the levels of these drugs in tissues from food animals, the validation of a quantitative, confirmatory method for the detection of residues of 10 aminoglycosides antibiotics in poultry, swine, equine and bovine kidney, with extraction using a solid phase and detection and quantification by LC-MS/MS was performed. The procedure is an adaptation of the US Department of Agriculture, Food Safety and Inspection Service (USDA-FSIS) qualitative method, with the inclusion of additional clean-up and quantification at lower levels, which proved more efficient. Extraction was performed using a phosphate buffer containing trifluoroacetic acid followed by neutralization, purification on a cationic exchange SPE cartridge, with elution with methanol/acetic acid, evaporation, and dilution in ion-pair solvent. The method was validated according to the criteria and requirements of the European Commission Decision 2002/657/EC, showing selectivity with no matrix interference. Linearity was established for all analytes using the method of weighted minimum squares. CCα and CCβ varied between 1036 and 12,293 µg kg(-1), and between 1073 and 14,588 µg kg(-1), respectively. The limits of quantification varied between 27 and 688 µg kg(-1). The values of recovery for all analytes in poultry kidney, fortified in the range of 500-1500 µg kg(-1), were higher than 90%, and the relative standard deviations were lower than 15%, except spectinomycin (21.8%). Uncertainty was estimated using a simplified methodology of 'bottom-up' and 'top-down' strategies. The results showed that this method is effective for the quantification and confirmation of aminoglycoside residues and could be used by the Brazilian programme of residue

  2. The Five Cs Model of Positive Youth Development: A Longitudinal Analysis of Confirmatory Factor Structure and Measurement Invariance

    Science.gov (United States)

    Bowers, Edmond P.; Li, Yibing; Kiely, Megan K.; Brittian, Aerika; Lerner, Jacqueline V.; Lerner, Richard M.

    2010-01-01

    The understanding of positive development across adolescence rests on having a valid and equivalent measure of this construct across the breadth of this period of life. Does the Positive Youth Development (PYD) construct based on the Five Cs model have satisfactory psychometric properties for such longitudinal measurement invariance? Using…

  3. Higher Order, Multisample, Confirmatory Factor Analysis of the Wechsler Intelligence Scale for Children--Fourth Edition: What Does It Measure?

    Science.gov (United States)

    Keith, Timothy Z.; Fine, Jodene Goldenring; Taub, Gordon E.; Reynolds, Matthew R.; Kranzler, John H.

    2006-01-01

    The recently published fourth edition of the Wechsler Intelligence Scale for Children (WISC-IV) represents a considerable departure from previous versions of the scale. The structure of the instrument has changed, and some subtests have been added and others deleted. The technical manual for the WISC-IV provided evidence supporting this new…

  4. Construct Validity of Medical Clinical Competence Measures: A Multitrait-Multimethod Matrix Study Using Confirmatory Factor Analysis.

    Science.gov (United States)

    Forsythe, George B.; And Others

    1986-01-01

    Construct validity was investigated for three tests of clinical competence in medicine: National Board of Medical Examiners examination (NBME), California Psychological Inventory (CPI), and Resident Evaluation Form (REF). Scores from 166 residents were analyzed. Results suggested low construct validity for CPI and REF scales, and moderate…

  5. Using confirmatory factor analysis to understand executive control in preschool children: sources of variation in emergent mathematic achievement.

    Science.gov (United States)

    Bull, Rebecca; Espy, Kimberly Andrews; Wiebe, Sandra A; Sheffield, Tiffany D; Nelson, Jennifer Mize

    2011-07-01

    Latent variable modeling methods have demonstrated utility for understanding the structure of executive control (EC) across development. These methods are utilized to better characterize the relation between EC and mathematics achievement in the preschool period, and to understand contributing sources of individual variation. Using the sample and battery of laboratory tasks described in Wiebe, Espy and Charak (2008), latent EC was related strongly to emergent mathematics achievement in preschool, and was robust after controlling for crystallized intellectual skills. The relation between crystallized skills and emergent mathematics differed between girls and boys, although the predictive association between EC and mathematics did not. Two dimensions of the child 's social environment contributed to mathematics achievement: social network support through its relation to EC and environmental stressors through its relation with crystallized skills. These findings underscore the need to examine the dimensions, mechanisms, and individual pathways that influence the development of early competence in basic cognitive processes that underpin early academic achievement.

  6. Measurement Structure of the Coping Strategies Questionnaire-24 in a Sample of Individuals with Musculoskeletal Pain: A Confirmatory Factor Analysis

    Science.gov (United States)

    Chiu, Chung-Yi; Jochman, Joseph; Fujikawa, Mayu; Strand, David; Cheing, Gladys; Lee, Gloria; Chan, Fong

    2014-01-01

    Purpose: To examine the factorial structure of the "Coping Strategy Questionnaire"-24 (CSQ-24) in a sample of Canadians with chronic musculoskeletal pain. Method: The sample included 171 workers' compensation clients (50.9% men) recruited from outpatient rehabilitation facilities in Canada. Mean age of participants was 42.45 years (SD =…

  7. Using Confirmatory Factor Analysis to Understand Executive Control in Preschool Children: Sources of Variation in Emergent Mathematic Achievement

    Science.gov (United States)

    Bull, Rebecca; Espy, Kimberly Andrews; Wiebe, Sandra A.; Sheffield, Tiffany D.; Nelson, Jennifer Mize

    2011-01-01

    Latent variable modeling methods have demonstrated utility for understanding the structure of executive control (EC) across development. These methods are utilized to better characterize the relation between EC and mathematics achievement in the preschool period, and to understand contributing sources of individual variation. Using the sample and…

  8. Multigroup Confirmatory Factor Analysis for the Teacher Form, Ages 5 to 21, of the Adaptive Behavior Assessment System-II

    Science.gov (United States)

    Aricak, O. Tolga; Oakland, Thomas

    2010-01-01

    The American Association on Intellectual and Developmental Disabilities has promulgated various models of adaptive behavior, including its 1992 model that highlighted 10 adaptive skills and its 2002 model that highlighted three conceptual domains. The Adaptive Behavior Assessment System-II (ABAS-II) was designed to be consistent with these models.…

  9. The Relationship between Root Mean Square Error of Approximation and Model Misspecification in Confirmatory Factor Analysis Models

    Science.gov (United States)

    Savalei, Victoria

    2012-01-01

    The fit index root mean square error of approximation (RMSEA) is extremely popular in structural equation modeling. However, its behavior under different scenarios remains poorly understood. The present study generates continuous curves where possible to capture the full relationship between RMSEA and various "incidental parameters," such as…

  10. 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.

  11. A Factor Analytic Approach to Distinguish Pure and Co-Occurring Dimensions of Proactive and Reactive Aggression

    Science.gov (United States)

    Fite, Paula J.; Colder, Craig R.; Pelham, William E., Jr.

    2006-01-01

    This study used a confirmatory factor model to distinguish pure and co-occurring dimensions of proactive and reactive aggression, and examined the relation between parenting variables and these dimensions of aggression in a sample of 100 children (9 to 12 years of age; 69 boys). Confirmatory factor analysis (CFA) supported 3 dimensions of…

  12. How Do Executive Functions Fit with the Cattell-Horn-Carroll Model? Some Evidence from a Joint Factor Analysis of the Delis-Kaplan Executive Function System and the Woodcock-Johnson III Tests of Cognitive Abilities

    Science.gov (United States)

    Floyd, Randy G.; Bergeron, Renee; Hamilton, Gloria; Parra, Gilbert R.

    2010-01-01

    This study investigated the relations among executive functions and cognitive abilities through a joint exploratory factor analysis and joint confirmatory factor analysis of 25 test scores from the Delis-Kaplan Executive Function System and the Woodcock-Johnson III Tests of Cognitive Abilities. Participants were 100 children and adolescents…

  13. Revisiting the Leadership Scale for Sport: Examining Factor Structure Through Exploratory Structural Equation Modeling.

    Science.gov (United States)

    Chiu, Weisheng; Rodriguez, Fernando M; Won, Doyeon

    2016-10-01

    This study examines the factor structure of the shortened version of the Leadership Scale for Sport, through a survey of 201 collegiate swimmers at National Collegiate Athletic Association Division II and III institutions, using both exploratory structural equation modeling and confirmatory factor analysis. Both exploratory structural equation modeling and confirmatory factor analysis showed that a five-factor solution fit the data adequately. The sizes of factor loadings on target factors substantially differed between the confirmatory factor analysis and exploratory structural equation modeling solutions. In addition, the inter-correlations between factors of the Leadership Scale for Sport and the correlations with athletes' satisfaction were found to be inflated in the confirmatory factor analysis solution. Overall, the findings provide evidence of the factorial validity of the shortened Leadership Scale for Sport.

  14. Fan Based Brand Equity (FBBE Factor Analysis of Football in Iranian Premier League Clubs

    Directory of Open Access Journals (Sweden)

    Mohammad Rasoul Khodadai

    2014-07-01

    Full Text Available This research aims to validate and factor-analyze the Fan Based Brand Equity (FBBE questionnaire of football in Iranian supreme league clubs. The present research is of descriptive-analysis type and has been done by survey method. The statistic population included football clubs fans of the Iran’s 13th supreme football league, and the sample society was 880 people chosen from seven clubs fans present at stadiums by using Cochrane’s formula based on available samples using random category and clustering methods. The research instrument was an author-made questionnaire. The whole content reliability of questionnaire was CVI=0.91 and its validity was calculated through two validity methods of test and retest (ICC was 0.89. The internal reliability was calculated greater than 0.8 for 52 items through Cronbach’s Alpha. Software SPSS 20 was used to perform the exploratory and confirmatory factor analysis. According to the results of factor analysis of 52 items on FBBE questionnaire, 7 items were deleted in the exploratory analysis and 45 items were placed in 5 factors. Finally, FBBE questionnaire has been confirmed with 12 items brand association attribution, 7 items for brand association benefits, 6 items for brand association attitude, 12 items for brand identity, 6 items for tangible identity, 6 items for intangible identity, 8 items for brand loyalty, 4 items for behavioral loyalty, and 4 items for attitudinal loyalty in confirmatory factor analysis.

  15. Structured multiplicity and confirmatory statistical analyses in pharmacodynamic studies using the quantitative electroencephalogram.

    Science.gov (United States)

    Ferber, Georg; Staner, Luc; Boeijinga, Peter

    2011-09-30

    Pharmacodynamic (PD) clinical studies are characterised by a high degree of multiplicity. This multiplicity is the result of the design of these studies that typically investigate effects of a number of biomarkers at various doses and multiple time points. Measurements are taken at many or all points of a "hyper-grid" that can be understood as the cross-product of a number of dimensions each of which has typically 3-30 discrete values. This exploratory design helps understanding the phenomena under investigation, but has made a confirmatory statistical analysis of these studies difficult, so that such an analysis is often missing in this type of studies. In this contribution we show that the cross-product structure of PD studies allows to combine several well-known techniques to address multiplicity in an effective way, so that a confirmatory analysis of these studies becomes feasible without unrealistic loss of power. We demonstrate the application of this technique in two studies that use the quantitative EEG (qEEG) as biomarker for drug activity at the GABA-A receptor. QEEG studies suffer particularly from the curse of multiplicity, since, in addition to the common dimensions like dose and time, the qEEG is measured at many locations over the scalp and in a number of frequency bands which inflate the multiplicity by a factor of about 250.

  16. Bayesian Factor Analysis as a Variable-Selection Problem: Alternative Priors and Consequences.

    Science.gov (United States)

    Lu, Zhao-Hua; Chow, Sy-Miin; Loken, Eric

    2016-01-01

    Factor analysis is a popular statistical technique for multivariate data analysis. Developments in the structural equation modeling framework have enabled the use of hybrid confirmatory/exploratory approaches in which factor-loading structures can be explored relatively flexibly within a confirmatory factor analysis (CFA) framework. Recently, Muthén & Asparouhov proposed a Bayesian structural equation modeling (BSEM) approach to explore the presence of cross loadings in CFA models. We show that the issue of determining factor-loading patterns may be formulated as a Bayesian variable selection problem in which Muthén and Asparouhov's approach can be regarded as a BSEM approach with ridge regression prior (BSEM-RP). We propose another Bayesian approach, denoted herein as the Bayesian structural equation modeling with spike-and-slab prior (BSEM-SSP), which serves as a one-stage alternative to the BSEM-RP. We review the theoretical advantages and disadvantages of both approaches and compare their empirical performance relative to two modification indices-based approaches and exploratory factor analysis with target rotation. A teacher stress scale data set is used to demonstrate our approach.

  17. 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...

  18. Factor Analysis of Intern Effectiveness

    Science.gov (United States)

    Womack, Sid T.; Hannah, Shellie Louise; Bell, Columbus David

    2012-01-01

    Four factors in teaching intern effectiveness, as measured by a Praxis III-similar instrument, were found among observational data of teaching interns during the 2010 spring semester. Those factors were lesson planning, teacher/student reflection, fairness & safe environment, and professionalism/efficacy. This factor analysis was as much of a…

  19. Factor analysis and missing data

    NARCIS (Netherlands)

    Kamakura, WA; Wedel, M

    2000-01-01

    The authors study the estimation of factor models and the imputation of missing data and propose an approach that provides direct estimates of factor weights without the replacement of missing data with imputed values. First, the approach is useful in applications of factor analysis in the presence

  20. Identifying Items to Assess Methodological Quality in Physical Therapy Trials: A Factor Analysis

    Science.gov (United States)

    Cummings, Greta G.; Fuentes, Jorge; Saltaji, Humam; Ha, Christine; Chisholm, Annabritt; Pasichnyk, Dion; Rogers, Todd

    2014-01-01

    Background Numerous tools and individual items have been proposed to assess the methodological quality of randomized controlled trials (RCTs). The frequency of use of these items varies according to health area, which suggests a lack of agreement regarding their relevance to trial quality or risk of bias. Objective The objectives of this study were: (1) to identify the underlying component structure of items and (2) to determine relevant items to evaluate the quality and risk of bias of trials in physical therapy by using an exploratory factor analysis (EFA). Design A methodological research design was used, and an EFA was performed. Methods Randomized controlled trials used for this study were randomly selected from searches of the Cochrane Database of Systematic Reviews. Two reviewers used 45 items gathered from 7 different quality tools to assess the methodological quality of the RCTs. An exploratory factor analysis was conducted using the principal axis factoring (PAF) method followed by varimax rotation. Results Principal axis factoring identified 34 items loaded on 9 common factors: (1) selection bias; (2) performance and detection bias; (3) eligibility, intervention details, and description of outcome measures; (4) psychometric properties of the main outcome; (5) contamination and adherence to treatment; (6) attrition bias; (7) data analysis; (8) sample size; and (9) control and placebo adequacy. Limitation Because of the exploratory nature of the results, a confirmatory factor analysis is needed to validate this model. Conclusions To the authors' knowledge, this is the first factor analysis to explore the underlying component items used to evaluate the methodological quality or risk of bias of RCTs in physical therapy. The items and factors represent a starting point for evaluating the methodological quality and risk of bias in physical therapy trials. Empirical evidence of the association among these items with treatment effects and a confirmatory factor

  1. Identifying items to assess methodological quality in physical therapy trials: a factor analysis.

    Science.gov (United States)

    Armijo-Olivo, Susan; Cummings, Greta G; Fuentes, Jorge; Saltaji, Humam; Ha, Christine; Chisholm, Annabritt; Pasichnyk, Dion; Rogers, Todd

    2014-09-01

    Numerous tools and individual items have been proposed to assess the methodological quality of randomized controlled trials (RCTs). The frequency of use of these items varies according to health area, which suggests a lack of agreement regarding their relevance to trial quality or risk of bias. The objectives of this study were: (1) to identify the underlying component structure of items and (2) to determine relevant items to evaluate the quality and risk of bias of trials in physical therapy by using an exploratory factor analysis (EFA). A methodological research design was used, and an EFA was performed. Randomized controlled trials used for this study were randomly selected from searches of the Cochrane Database of Systematic Reviews. Two reviewers used 45 items gathered from 7 different quality tools to assess the methodological quality of the RCTs. An exploratory factor analysis was conducted using the principal axis factoring (PAF) method followed by varimax rotation. Principal axis factoring identified 34 items loaded on 9 common factors: (1) selection bias; (2) performance and detection bias; (3) eligibility, intervention details, and description of outcome measures; (4) psychometric properties of the main outcome; (5) contamination and adherence to treatment; (6) attrition bias; (7) data analysis; (8) sample size; and (9) control and placebo adequacy. Because of the exploratory nature of the results, a confirmatory factor analysis is needed to validate this model. To the authors' knowledge, this is the first factor analysis to explore the underlying component items used to evaluate the methodological quality or risk of bias of RCTs in physical therapy. The items and factors represent a starting point for evaluating the methodological quality and risk of bias in physical therapy trials. Empirical evidence of the association among these items with treatment effects and a confirmatory factor analysis of these results are needed to validate these items.

  2. 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.

  3. Psychometric properties of the AHRQ Community Pharmacy Survey on Patient Safety Culture: a factor analysis.

    Science.gov (United States)

    Aboneh, Ephrem A; Look, Kevin A; Stone, Jamie A; Lester, Corey A; Chui, Michelle A

    2016-05-01

    The U.S. Agency for Healthcare Research and Quality (AHRQ) developed a hospital patient safety culture survey in 2004 and has adapted this survey to other healthcare settings, such as nursing homes and medical offices, and most recently, community pharmacies. However, it is unknown whether safety culture dimensions developed for hospitals can be transferred to community pharmacies. The aim of this study was to assess the psychometric properties of the Community Pharmacy Survey on Patient Safety Culture. The survey was administered to 543 community pharmacists in Wisconsin, USA. Confirmatory factor analysis was used to assess the fit of our data with the proposed AHRQ model. Exploratory factor analysis was used to determine the underlying factor structure. Internal consistency reliabilities were calculated. A total of 433 usable surveys were returned (response rate 80%). Results from the confirmatory factor analysis showed inadequate model fit for the original 36 item, 11-factor structure. Exploratory factor analysis showed that a modified 27-item, four-factor structure better reflected the underlying safety culture dimensions in community pharmacies. The communication openness factor, with three items, dropped in its entirety while six items dropped from multiple factors. The remaining 27 items redistributed to form the four-factor structure: safety-related communication, staff training and work environment, organisational response to safety events, and staffing, work pressure and pace. Cronbach's α of 0.95 suggested good internal consistency. Our findings suggest that validation studies need to be conducted before applying safety dimensions from other healthcare settings into community pharmacies. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

  4. 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

  5. Conditions for Confirmatory Analysis and Causal Inference.

    Science.gov (United States)

    1982-05-03

    such behavior evolved because it had survival value. Other philosophers have not been so kind in dealing with Hume’s skepticism. Wittgenstein regarded...also in many other ways." _ Ludwig Wittgenstein (1980) We begin this section by restating the third principle for the logical foundation of...study in Wittgenstein . Oxford: Basil Blackwell, 1973. Dubin, R. Theory building in applied areas. In M. D. Dunnette (Ed.), Handbook of industrial and

  6. Factors Influencing Self-Regulation in E-learning 2.0: Confirmatory Factor Model | Facteurs qui influencent la maîtrise de soi en cyberapprentissage 2.0 : modèle de facteur confirmative

    Directory of Open Access Journals (Sweden)

    Hong Zhao

    2016-04-01

    Full Text Available The importance of self-regulation in e-learning has been well noted in research. Relevant studies have shown a consistent positive correlation between learners’ self-regulation and their success rate in e-learning. Increasing attention has been paid to developing learners’ self-regulated abilities in e-learning. For students, what and how to learn are largely predetermined by the learning environment provided by their institutions. Environmental determinants play a key role in shaping self-regulation in the learning process. This paper reports a study on the influences of the e-learning 2.0 environment on self-regulation. The study identified the factors that influence self-regulation in such an environment and determine the relationships between the factors and self-regulation. A theoretical model to categorize the success factors for self-regulated learning was proposed for this kind of environment. Based on the model, a questionnaire was designed and administered to more than two hundred and fifty distance learning students in Beijing and Hong Kong. Through structural equation modeling (SEM technique, relationships between environmental factors and self-regulation were analyzed. Statistical results showed that several factors affect self-regulation in the e-learning 2.0 environment. They include system quality, information quality, service quality, and user satisfaction. L’importance de la maîtrise de soi en cyberapprentissage a été bien étudiée. Les études pertinentes ont démontré une corrélation positive uniforme entre la maîtrise de soi des apprenants et leurs taux de réussite en apprentissage en ligne. Une attention croissante a été portée au développement des aptitudes de maîtrise de soi des élèves en cyberapprentissage. Pour les élèves, quoi apprendre et comment sont des questions principalement prédéterminées par l’environnement d’apprentissage qu’offrent leurs établissements. Les d

  7. 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…

  8. Consistência interna e fatorial do Inventário Multifatorial de Coping para Adolescentes Reliability and confirmatory factorial analysis of the Multifactor Coping for Adolescents Inventory with Brazilian students

    Directory of Open Access Journals (Sweden)

    Marcos Alencar Abaide Balbinotti

    2006-12-01

    Full Text Available Coping é um construto multidimensional relativo às formas como as pessoas lidam com situações estressantes. Diversas pesquisas assinalam a importância dessas "respostas de enfrentamento". Este estudo visa verificar os índices de consistência interna e fatorial confirmatórios do Inventário Multifatorial de Coping para Adolescentes (IMCA-43. Assim, a coleta de dados foi realizada mediante aplicações coletivas, em sala de aula, em uma amostra de 285 estudantes do ensino fundamental e médio, de ambos os sexos e com idades variando de 13 a 18 anos. Os resultados dos índices alfa de Cronbach (0,71 a 0,89 foram satisfatórios. A adequação aos modelos tridimensional (x2/gl = 2,85; GFI = 0,757; AGFI = 0,724; RMSEA = 0,081 tetradimensional (x2/gl = 2,44; GFI = 0,724; AGFI = 0,695; RMSEA = 0,071 e pentadimensional (x2/gl = 2,32; GFI = 0,750; AGFI = 0,723; RMSEA = 0,068 é pouco recomendada. Os resultados indicam serem necessárias pesquisas continuadas a fim de melhorar certas qualidades métricas deste instrumento.Coping is a multidimensional concept concerning how people face and deal with stressful situations. Researches have been showing the importance of these forms of behavior responses. This study aimed to measure the internal consistency of the Multifactorial Inventory of Coping for Adolescents (IMCA-43 and evaluate the fit of the model through confirmatory factorial analysis. A sample of 285 students of Intermediate and High School, of both sexes, with ages ranging from 13 to 18 years old was used. The data was colected colectivelly in their classrooms. The results of the Cronbach alfa (0,71 to 0,89 were satisfactory. The index of adequacy for the tri-dimensional model (x2/gl = 2,85; GFI = 0,757; AGFI = 0,724; RMSEA = 0,081, tetra-dimensional (x2/gl = 2,44; GFI = 0,724; AGFI = 0,695; RMSEA = 0,071 and penta-dimensional (x2/gl = 2,32; GFI = 0,750; AGFI = 0,723; RMSEA = 0,068 are non-recommended for the fit of the model. The results

  9. Effects of Informative and Confirmatory Feedback on Brain Activation During Negative Feedback Processing

    Directory of Open Access Journals (Sweden)

    Yeon-Kyoung eWoo

    2015-06-01

    Full Text Available The current study compared the effects of informative and confirmatory feedback on brain activation during negative feedback processing. For confirmatory feedback trials, participants were informed that they had failed the task, whereas informative feedback trials presented task relevant information along with the notification of their failure. Fourteen male undergraduates performed a series of spatial-perceptual tasks and received feedback while their brain activity was recorded. During confirmatory feedback trials, greater activations in the amygdala, dorsal anterior cingulate cortex, and the thalamus (including the habenular were observed in response to incorrect responses. These results suggest that confirmatory feedback induces negative emotional reactions to failure. In contrast, informative feedback trials elicited greater activity in the dorsolateral prefrontal cortex (DLPFC when participants experienced failure. Further psychophysiological interaction (PPI analysis revealed a negative coupling between the DLPFC and the amygdala during informative feedback relative to confirmatory feedback trials. These findings suggest that providing task-relevant information could facilitate implicit down-regulation of negative emotions following failure.

  10. Factor Structure and Reliability of the Revised Conflict Tactics Scales' (CTS2) 10-Factor Model in a Community-Based Female Sample

    Science.gov (United States)

    Yun, Sung Hyun

    2011-01-01

    The present study investigated the factor structure and reliability of the revised Conflict Tactics Scales' (CTS2) 10-factor model in a community-based female sample (N = 261). The underlying factor structure of the 10-factor model was tested by the confirmatory multiple group factor analysis, which demonstrated complex factor cross-loadings…

  11. Scale construction and evaluation in practice: A review of factor analysis versus item response theory applications

    Directory of Open Access Journals (Sweden)

    Anne Boomsma

    2010-09-01

    Full Text Available In scale construction and evaluation, factor analysis (FA and item response theory (IRT are two methods frequently used to determine whether a set of items reliably measures a latent variable. In a review of 41 published studies we examined which methodology – FA or IRT – was used, and what researchers’ motivations were for applying either method. Characteristics of the studies were compared to gain more insight into the practice of scale analysis. Findings indicate that FA is applied far more often than IRT. Many times it is unclear whether the data justify the chosen method because model assumptions are neglected. We recommended that researchers (a use substantive knowledge about the items to their advantage by more frequently employing confirmatory techniques, as well as adding item content and interpretability of factors to the criteria in model evaluation; and (b investigate model assumptions and report corresponding findings. To this end, we recommend more collaboration between substantive researchers and statisticians/psychometricians.

  12. Risky business: factor analysis of survey data - assessing the probability of incorrect dimensionalisation.

    Directory of Open Access Journals (Sweden)

    Cees van der Eijk

    Full Text Available This paper undertakes a systematic assessment of the extent to which factor analysis the correct number of latent dimensions (factors when applied to ordered-categorical survey items (so-called Likert items. We simulate 2400 data sets of uni-dimensional Likert items that vary systematically over a range of conditions such as the underlying population distribution, the number of items, the level of random error, and characteristics of items and item-sets. Each of these datasets is factor analysed in a variety of ways that are frequently used in the extant literature, or that are recommended in current methodological texts. These include exploratory factor retention heuristics such as Kaiser's criterion, Parallel Analysis and a non-graphical scree test, and (for exploratory and confirmatory analyses evaluations of model fit. These analyses are conducted on the basis of Pearson and polychoric correlations. We find that, irrespective of the particular mode of analysis, factor analysis applied to ordered-categorical survey data very often leads to over-dimensionalisation. The magnitude of this risk depends on the specific way in which factor analysis is conducted, the number of items, the properties of the set of items, and the underlying population distribution. The paper concludes with a discussion of the consequences of over-dimensionalisation, and a brief mention of alternative modes of analysis that are much less prone to such problems.

  13. Risky business: factor analysis of survey data - assessing the probability of incorrect dimensionalisation.

    Science.gov (United States)

    van der Eijk, Cees; Rose, Jonathan

    2015-01-01

    This paper undertakes a systematic assessment of the extent to which factor analysis the correct number of latent dimensions (factors) when applied to ordered-categorical survey items (so-called Likert items). We simulate 2400 data sets of uni-dimensional Likert items that vary systematically over a range of conditions such as the underlying population distribution, the number of items, the level of random error, and characteristics of items and item-sets. Each of these datasets is factor analysed in a variety of ways that are frequently used in the extant literature, or that are recommended in current methodological texts. These include exploratory factor retention heuristics such as Kaiser's criterion, Parallel Analysis and a non-graphical scree test, and (for exploratory and confirmatory analyses) evaluations of model fit. These analyses are conducted on the basis of Pearson and polychoric correlations. We find that, irrespective of the particular mode of analysis, factor analysis applied to ordered-categorical survey data very often leads to over-dimensionalisation. The magnitude of this risk depends on the specific way in which factor analysis is conducted, the number of items, the properties of the set of items, and the underlying population distribution. The paper concludes with a discussion of the consequences of over-dimensionalisation, and a brief mention of alternative modes of analysis that are much less prone to such problems.

  14. Factor Structure of the Exercise Self-Efficacy Scale

    Science.gov (United States)

    Cornick, Jessica E.

    2015-01-01

    The current study utilized exercise self-efficacy ratings from undergraduate students to assess the factor structure of the Self-Efficacy to Regulate Exercise Scale (Bandura, 1997, 2006). An exploratory factor analysis (n = 759) indicated a two-factor model solution and three separate confirmatory factor analyses (n = 1,798) supported this…

  15. Temporal Stability, Correlates, and Longitudinal Outcomes of Career Indecision Factors

    Science.gov (United States)

    Nauta, Margaret M.

    2012-01-01

    A confirmatory factor analysis (CFA) tested the fit of Kelly and Lee's six-factor model of career decision problems among 188 college students. The six-factor model did not fit the data well, but a five-factor (Lack of Information, Need for Information, Trait Indecision, Disagreement with Others, and Choice Anxiety) model did provide a good fit.…

  16. Factorial Structure of the Career Decision Scale: Incremental Validity of the Five-Factor Domains

    Science.gov (United States)

    Feldt, Ronald C.; Ferry, Ashley; Bullock, Melinda; Camarotti-Carvalho, Ana; Collingwood, Melinda; Eilers, Scott; Meyer, Luke; Nurre, Emily; Woelfel, Cheryl

    2010-01-01

    For comparison of one-, three-, and four-factor structures of the Indecision scale of the Career Decision Scale, results of confirmatory factor analysis (N = 686) indicated the best fit for the three-factor structure. Multiple regression analysis results indicated incremental validity of the five-factor model for predicting dimensions of career…

  17. Factorial Structure of the Career Decision Scale: Incremental Validity of the Five-Factor Domains

    Science.gov (United States)

    Feldt, Ronald C.; Ferry, Ashley; Bullock, Melinda; Camarotti-Carvalho, Ana; Collingwood, Melinda; Eilers, Scott; Meyer, Luke; Nurre, Emily; Woelfel, Cheryl

    2010-01-01

    For comparison of one-, three-, and four-factor structures of the Indecision scale of the Career Decision Scale, results of confirmatory factor analysis (N = 686) indicated the best fit for the three-factor structure. Multiple regression analysis results indicated incremental validity of the five-factor model for predicting dimensions of career…

  18. Factors Affecting Teachers' Perceived Readiness for Online Collaborative Learning: A Case Study in Malaysia

    Science.gov (United States)

    Koo, Ah-Choo

    2008-01-01

    This paper investigates factors affecting the perceived readiness for online collaborative learning (OCL) of a sample of 86 mathematics teachers from 12 secondary schools. Descriptive analysis, factor analysis, confirmatory factor analysis and structure equation modeling were used to analyze the data. A moderately fit model was generated and able…

  19. An Analysis Credit Rating Factors of Steel Distributors from Customer Perspective in Iran\\\\\\'s Market

    Directory of Open Access Journals (Sweden)

    Asghar Moshabbaki

    2016-03-01

    Full Text Available This study with aim of investigation and identification of most important determinant criteria in significant distributors selecting by retailer customers did in Iran steel market and Arvin steel distributor selected as case of study. This research is of survey type and for data collect, a questionnaire was developed from various sources in the literature, used. Sample of 107 customers of Arvin steel distributor in Tehran city was selected. Also, Structure Equation Modeling (SEM and Confirmatory Factor Analysis (CFA and two software package "SPSS and LISREL" are used for analyzing the data. in total, nine variable "managerial capability", "marketing capability", "relationship intensity", "logistics capability", "financial capability", "physical facilities", "market cover", "product line" and "reputation" of distributor identified as main determinant factors in distributor selecting. Study findings show that the effect of "managerial capability", "marketing capability", "Relationship intensity", "Logistics capability", "financial capability", "Physical facilities", "Market cover" and "reputation" on distributor choice were statistically significant.

  20. Unidimensionality of life satisfaction and its relation to social desirability: a confirmatory study of a short form of the Life Satisfaction Scale.

    Science.gov (United States)

    Laicardi, C; Baldassarri, F; Artistico, D

    2001-02-01

    This study investigated construct validity of a short version of the Life Satisfaction in the Elderly Scale developed from an exploratory factor analysis in 1990 of the original version of Salamon and Conte's Life Satisfaction scale. First, a confirmatory factor analysis (maximum likelihood method) was conducted on 149 adult and elderly Italians to assess whether the latent variable of the Life Satisfaction Short Form scale was adequately represented by one factor. Analysis showed a good fit for the proposed unidimensional model, the items achieved good internal consistency on the scale, and no age differences arose in the score for the Life Satisfaction factor. Second, the correlations between the items measuring Life Satisfaction and the Eysenck 1985 Lie scale indicated that the items on the Life Satisfaction Short Form are largely independent of social desirability for younger and older adults.

  1. Next-generation confirmatory disease diagnostics

    Science.gov (United States)

    Lin, Robert; Gerver, Rachel; Karns, Kelly; Apori, Akwasi A.; Denisin, Aleksandra K.; Herr, Amy E.

    2014-06-01

    Microfluidic tools are advancing capabilities in screening diagnostics for use in near-patient settings. Here, we review three case studies to illustrate the flexibility and analytical power offered by microanalytical tools. We first overview a near-patient tool for detection of protein markers found in cerebrospinal fluid (CSF), as a means to identify the presence of cerebrospinal fluid in nasal mucous - an indication that CSF is leaking into the nasal cavity. Microfluidic design allowed integration of several up-stream preparatory steps and rapid, specific completion of the human CSF protein assay. Second, we overview a tear fluid based assay for lactoferrin, a protein produced in the lacrimal gland, then secreted into tear fluid. Tear Lf is a putative biomarker for primary SS. A critical contribution of this and related work being measurement of Lf, even in light of well-known and significant matrix interactions and losses during the tear fluid collection and preparation. Lastly, we review a microfluidic barcode platform that enables rapid measurement of multiple infectious disease biomarkers in human sera. The assay presents a new approach to multiplexed biomarker detection, yet in a simple straight microchannel - thus providing a streamlined, simplified microanalytical platform, as is relevant to robust operation in diagnostic settings. We view microfluidic design and analytical chemistry as the basis for emerging, sophisticated assays that will advance not just screening diagnostic technology, but confirmatory assays, sample preparation and handling, and thus introduction and utilization of new biomarkers and assay formats.

  2. Factor Structure of the TOEFL Internet-Based Test

    Science.gov (United States)

    Sawaki, Yasuyo; Stricker, Lawrence J.; Oranje, Andreas H.

    2009-01-01

    This construct validation study investigated the factor structure of the Test of English as a Foreign Language[TM] Internet-based test (TOEFL[R] iBT). An item-level confirmatory factor analysis was conducted for a test form completed by participants in a field study. A higher-order factor model was identified, with a higher-order general factor…

  3. Human Factors Analysis in Software Engineering

    Institute of Scientific and Technical Information of China (English)

    Xu Ren-zuo; Ma Ruo-feng; Liu Li-na; Xiong Zhong-wei

    2004-01-01

    The general human factors analysis analyzes human functions, effects and influence in a system. But in a narrow sense, it analyzes human influence upon the reliability of a system, it includes traditional human reliability analysis, human error analysis, man-machine interface analysis, human character analysis, and others. A software development project in software engineering is successful or not to be completely determined by human factors. In this paper, we discuss the human factors intensions, declare the importance of human factors analysis for software engineering by listed some instances. At last, we probe preliminarily into the mentality that a practitioner in software engineering should possess.

  4. 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”.

  5. Measurement Bias Detection through Factor Analysis

    Science.gov (United States)

    Barendse, M. T.; Oort, F. J.; Werner, C. S.; Ligtvoet, R.; Schermelleh-Engel, K.

    2012-01-01

    Measurement bias is defined as a violation of measurement invariance, which can be investigated through multigroup factor analysis (MGFA), by testing across-group differences in intercepts (uniform bias) and factor loadings (nonuniform bias). Restricted factor analysis (RFA) can also be used to detect measurement bias. To also enable nonuniform…

  6. Confirmatory Factor Analysis of a Family Quality of Life Scale for Taiwanese Families of Children With Intellectual Disability/Developmental Delay.

    Science.gov (United States)

    Chiu, Chun-Yu; Seo, Hyojeong; Turnbull, Ann P; Summers, Jean Ann

    2017-04-01

    The Beach Center Family Quality of Life Scale is an internationally validated instrument for measuring family outcomes. To revise the scale for better alignment with the Family Quality of Life theory, the authors excluded non-outcome items in this revision. In this study, we examined reliability and validity of the revised scale (i.e., the FQoL Scale-21) and its scores for Taiwanese families of children and youth with intellectual disability and developmental delay (age 0-18). Results from 400 Taiwanese respondents suggested that the FQoL Scale-21 has the potential to be used as an indicator of positive outcomes in intervention evaluation, policy making, and service delivery.

  7. 计算机技术压力的量表评测与改进%A Confirmatory Factor Analysis: the Improvement of Technostress Instrument

    Institute of Scientific and Technical Information of China (English)

    舒琴; 王刊良

    2010-01-01

    基于压力复杂构成学说,计算机技术压力的构成有待进一步验证.通过回顾计算机技术压力这一概念的发展,在已有研究结论的支持下,提出了计算机技术压力二阶双因子构成模型.利用结构方程模型分析工具对两个可替代模型进行比较,结果发现二阶双因子构成模型能够更好地反映计算机技术压力.这为后续研究计算机技术压力与个人和组织的关系提供了新的视角,同时也完成了计算机技术压力量表从探索性开发到验证性开发的完整过程.

  8. Development and validation of the Multimodal Presence Scale for virtual reality environments: A confirmatory factor analysis and item response theory approach

    DEFF Research Database (Denmark)

    Makransky, Guido; Jensen, Lau Lilleholt; Aaby, Anders

    2017-01-01

    Presence is one of the most important psychological constructs for understanding human-computer interaction. However, different terminology and operationalizations of presence across fields have plagued the comparability and generalizability of results across studies. Lee's (2004) unified...

  9. Development and Measurement through Confirmatory Factor Analysis of the Young Adult Social Behavior Scale (YASB): An Assessment of Relational Aggression in Adolescence and Young Adulthood

    Science.gov (United States)

    Crothers, Laura M.; Schreiber, James B.; Field, Julaine E.; Kolbert, Jered B.

    2009-01-01

    The Young Adult Social Behavior Scale was developed for the purpose of measuring self-reported relational and social aggression and behaviors of interpersonal maturity in adolescents and young adults (the sample included 629 university students; 66% female; 91.6% White). Despite previous research suggesting that relational and social aggression…

  10. A Confirmatory Factor Analysis of the California Verbal Learning Test-Second Edition (CVLT-II) in a Traumatic Brain Injury Sample

    Science.gov (United States)

    DeJong, Joy; Donders, Jacobus

    2009-01-01

    The latent structure of the California Verbal Learning Test-Second Edition (CVLT-II) was examined in a clinical sample of 223 persons with traumatic brain injury that had been screened to remove individuals with complicating premorbid (e.g., psychiatric) or comorbid (e.g., financial compensation seeking) histories. Analyses incorporated the…

  11. The Turkish Adaptation Study of Motivated Strategies for Learning Questionnaire (MSLQ) for 12-18 Year Old Children: Results of Confirmatory Factor Analysis

    Science.gov (United States)

    Karadeniz, Sirin; Buyukozturk, Sener; Akgun, Ozcan Erkan; Cakmak, Ebru Kilic; Demirel, Funda

    2008-01-01

    This study gives results of the first phase of the 12-18 year old Turkish students' norm study of The Motivated Strategies for Learning Questionnaire (MSLQ), which developed by Pintrich, Smith, Garcia & McKeachie (1993). The scale was administrated to 1114 students from 3 primary schools and 3 high schools in Ankara in Turkish language, science,…

  12. A Two-Group Confirmatory Factor Analysis of "The Arc's Self-Determination Scale" with Students with Emotional/Behavioral Disorders or Learning Disabilities

    Science.gov (United States)

    Seo, Hyojeong; Wehmeyer, Michael L.; Palmer, Susan B.; Little, Todd D.

    2015-01-01

    Given the emphasis on promoting self-determination in the field of special education and the corresponding use of scales to measure self-determination in research and practice, it is important to examine whether widely used self-determination assessments measure the same constructs among and between students from different disability categories.…

  13. Testing the measurement invariance of the EORTC QLQ-C30 across primary cancer sites using multi-group confirmatory factor analysis

    NARCIS (Netherlands)

    Costa, D.S.J.; Aaronson, N.K.; Fayers, P.M.; Pallant, J.F.; Velikova, G.; King, M.T.

    2015-01-01

    Purpose: The EORTC Quality of Life Questionnaire is a widely used cancer-specific quality of life instrument comprising a core set of 30 items (QLQ-C30) supplemented by cancer site-specific modules. The purpose of this paper was to examine the extent to which the conventional multi-item domain

  14. Psychometric properties and Confirmatory structure of the Strengths and difficulties questionnaire in a sample of adolescents in Nigeria.

    Science.gov (United States)

    Akpa, Onoja M; Afolabi, Rotimi F; Fowobaje, Kayode R

    Though the SDQ has been used in selected studies in Nigeria, its theoretical structure has not been fully and appropriately investigated in the setting. The present study employs Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) to investigate the theoretical structure of the self-reported version of the SDQ in a sample of adolescents in Benue state, Nigeria. A total of 1,244 adolescents from different categories of secondary schools in Makurdi and Vandekya Local government areas of Benue state participated in the study. Preliminary data analyses were performed using descriptive statistics while the theoretical structure of the SDQ was assessed using EFA and CFA. Model fits were assessed using Chi-square test and other fit indices at 5% significance level. Participants were 14.19±2.45 (Vandekya) and 14.19±2.45 (Makurdi) years old. Results of the EFA and CFA revealed a 3-factor oblique model as the best model for the sample of adolescents studied (χ(2)/df =2.20, p<0.001) with all fit indices yielding better results. A correlated 3-factor model fits the present data better than the 5-factor theoretical model of the SDQ. The use of the original 5-factor model of the SDQ in the present setting should be interpreted with caution.

  15. Statistical inference of Minimum Rank Factor Analysis

    NARCIS (Netherlands)

    Shapiro, A; Ten Berge, JMF

    2002-01-01

    For any given number of factors, Minimum Rank Factor Analysis yields optimal communalities for an observed covariance matrix in the sense that the unexplained common variance with that number of factors is minimized, subject to the constraint that both the diagonal matrix of unique variances and the

  16. Statistical inference of Minimum Rank Factor Analysis

    NARCIS (Netherlands)

    Shapiro, A; Ten Berge, JMF

    For any given number of factors, Minimum Rank Factor Analysis yields optimal communalities for an observed covariance matrix in the sense that the unexplained common variance with that number of factors is minimized, subject to the constraint that both the diagonal matrix of unique variances and the

  17. PROGNOSTIC FACTORS ANALYSIS FOR STAGEⅠ RECTAL CANCER

    Institute of Scientific and Technical Information of China (English)

    武爱文; 顾晋; 薛钟麒; 王怡; 徐光炜

    2001-01-01

    To explore the death-related factors of stageⅠrectal cancer patients. Methods: 89 cases of stage I rectal cancer patients between 1985 and 2000 were retrospectively studied for prognostic factors. Factors including age, gender, tumor size, circumferential occupation, gross type, pathological type, depth of tumor invasion, surgical procedure, adjuvant chemotherapy and postoperative complication were chosen for cox multivariate analysis (forward procedure) using Spss software (10.0 version). Results: multivariate analysis demonstrated that muscular invasion was an independent negative prognostic factor for stageⅠrectal cancer patients (P=0.003). Conclusion: Muscular invasion is a negative prognostic factor for stage I rectal cancer patients.

  18. Factor Structure of Japanese Versions of Two Emotional Intelligence Scales

    Science.gov (United States)

    Fukuda, Eriko; Saklofske, Donald H.; Tamaoka, Katsuo; Fung, Tak Shing; Miyaoka, Yayoi; Kiyama, Sachiko

    2011-01-01

    This article reports the psychometric properties of two emotional intelligence measures translated into Japanese. Confirmatory factor analysis (CFA) was conducted to examine the factor structure of a Japanese version of the Wong and Law Emotional Intelligence Scale (WLEIS) completed by 310 Japanese university students. A second study employed CFA…

  19. Comparisons of Apparent Diffusion Coefficient Values in Penumbra, Infarct, and Normal Brain Regions in Acute Ischemic Stroke: Confirmatory Data Using Bootstrap Confidence Intervals, Analysis of Variance, and Analysis of Means.

    Science.gov (United States)

    Lopez-Mejia, Mariana; Roldan-Valadez, Ernesto

    2016-03-01

    There is no consensus about apparent diffusion coefficient (ADC) values in acute stroke regions that could be used by clinicians in a day-to-day clinical practice; regional measures using confidence intervals (CIs) and a graphic representation of means are scarce in the literature. Our aim in this study was to compare ADC values in infarct, penumbra, and normal brain regions in patients with acute ischemic stroke (AIS). This is a retrospective study of 100 magnetic resonance imaging data sets from AIS patients. ADC values were measured in the infarct, penumbra, and normal regions. Three hundred measurements underwent 1-way analysis of variance, analysis of means, and calculation of 95% and 84% CIs. There was a statistically significant difference at the P level less than .025 in ADC values for the 3 regions (F[2, 297] = 168.039, P ≤ .001), with no overlap of the CIs for the means among the regions: normal brain (mean [M] = .847, standard deviation [SD] = .103, 95% CI: .825-.866), infarct (M = .533, SD = .157, 95% CI: .501-.563), and penumbra (M = .764, SD = .110, 95% CI: .740-.787). ADC values might be used as reference data in acute stroke-specific populations; CIs would provide radiologists and clinicians with additional quantitative tools to evaluate penumbra, infarct, and normal brain tissue and to tailor follow-up and treatment options for selected patients. Copyright © 2016 National Stroke Association. Published by Elsevier Inc. All rights reserved.

  20. Constructs Assessed by the GARS-2: Factor Analysis of Data from the Standardization Sample

    Science.gov (United States)

    Pandolfi, Vincent; Magyar, Caroline I.; Dill, Charles A.

    2010-01-01

    The GARS-2 (Gilliam 2006) is widely used for autism screening; however, the validity of its three conceptually-derived subscales has not been evaluated. In this study, exploratory (EFA) and confirmatory (CFA) factor analyses of data from matched subgroups of the standardization sample did not support the GARS-2 subscale structure. EFAs identified…

  1. Comparison of One-, Two-, and Three-Factor Models of Personal Resiliency Using the Resiliency Scales for Children and Adolescents

    Science.gov (United States)

    Prince-Embury, Sandra; Courville, Troy

    2008-01-01

    This article examines the scale structure of the Resiliency Scales for Children and Adolescents (RSCA). Confirmatory factor analysis reveals that a three-factor model is a better fit than one- or two-factor models for the normative sample. These findings lend support to the construct validity of the RSCA. The three-factor model is discussed as a…

  2. Development of a self-report physical function instrument for disability assessment: item pool construction and factor analysis.

    Science.gov (United States)

    McDonough, Christine M; Jette, Alan M; Ni, Pengsheng; Bogusz, Kara; Marfeo, Elizabeth E; Brandt, Diane E; Chan, Leighton; Meterko, Mark; Haley, Stephen M; Rasch, Elizabeth K

    2013-09-01

    To build a comprehensive item pool representing work-relevant physical functioning and to test the factor structure of the item pool. These developmental steps represent initial outcomes of a broader project to develop instruments for the assessment of function within the context of Social Security Administration (SSA) disability programs. Comprehensive literature review; gap analysis; item generation with expert panel input; stakeholder interviews; cognitive interviews; cross-sectional survey administration; and exploratory and confirmatory factor analyses to assess item pool structure. In-person and semistructured interviews and Internet and telephone surveys. Sample of SSA claimants (n=1017) and a normative sample of adults from the U.S. general population (n=999). Not applicable. Model fit statistics. The final item pool consisted of 139 items. Within the claimant sample, 58.7% were white; 31.8% were black; 46.6% were women; and the mean age was 49.7 years. Initial factor analyses revealed a 4-factor solution, which included more items and allowed separate characterization of: (1) changing and maintaining body position, (2) whole body mobility, (3) upper body function, and (4) upper extremity fine motor. The final 4-factor model included 91 items. Confirmatory factor analyses for the 4-factor models for the claimant and the normative samples demonstrated very good fit. Fit statistics for claimant and normative samples, respectively, were: Comparative Fit Index=.93 and .98; Tucker-Lewis Index=.92 and .98; and root mean square error approximation=.05 and .04. The factor structure of the physical function item pool closely resembled the hypothesized content model. The 4 scales relevant to work activities offer promise for providing reliable information about claimant physical functioning relevant to work disability. Copyright © 2013 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.

  3. Kernel Factor Analysis Algorithm with Varimax

    Institute of Scientific and Technical Information of China (English)

    Xia Guoen; Jin Weidong; Zhang Gexiang

    2006-01-01

    Kernal factor analysis (KFA) with varimax was proposed by using Mercer kernel function which can map the data in the original space to a high-dimensional feature space, and was compared with the kernel principle component analysis (KPCA). The results show that the best error rate in handwritten digit recognition by kernel factor analysis with varimax (4.2%) was superior to KPCA (4.4%). The KFA with varimax could more accurately image handwritten digit recognition.

  4. Motivational factors in multilevel marketing business: A confirmatory approach

    Directory of Open Access Journals (Sweden)

    Sourav Jain

    2015-10-01

    Full Text Available In the present scenario of high unemployment; Multilevel Marketing (MLM generates employment for people who have no permanent source of earning. MLM system has emerged as one of the prime alternatives in the current marketing system. India has become a very popular destination of doing MLM business with high potential of growth. MLM system provides lucrative compensation that works as motivation for people to join this business. Motivation for executives of any firm plays a major role in its success. It also leads commitment of employees towards work and responsibilities. An attempt has been made to identify the motivational variables that have the highest level of contribution for joining the MLM system. Most of the MLM companies focus on compensation plan or reward system but apart from that a number of variables have been found which motivate the distributors to engage in MLM business. Further, the distributors play a vital role in the growth of the business. In this study, we also propose a motivational model to help MLM companies formulate better strategies in making a large network of people for growth of business.

  5. (IEQ) Assessment in Hospital Buildings: A Confirmatory Factor ...

    African Journals Online (AJOL)

    Sultan

    Performance Indicators of Indoor Environmental Quality (IEQ). Assessment in ... Keywords: Building performance, hospital buildings, indicators, indoor environment quality. ATBU Journal of ...... Management of Environmental. Quality: An ...

  6. A Confirmatory Factoring of the Self-Consciousness Scale.

    Science.gov (United States)

    Bernstein, Ira H.; And Others

    1986-01-01

    A three subscale inventory designed by Fenigstein, Scheier, and Buss to measure self-consciousness was administered to 297 college students. Fenigstein et al.'s representation was found to fit the data in its original form. Items on the subscales differ nearly as much statistically as they do substantively. (Author/LMO)

  7. 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

  8. Distinguishing between exploratory and confirmatory preclinical research will improve translation.

    Science.gov (United States)

    Kimmelman, Jonathan; Mogil, Jeffrey S; Dirnagl, Ulrich

    2014-05-01

    Preclinical researchers confront two overarching agendas related to drug development: selecting interventions amid a vast field of candidates, and producing rigorous evidence of clinical promise for a small number of interventions. We suggest that each challenge is best met by two different, complementary modes of investigation. In the first (exploratory investigation), researchers should aim at generating robust pathophysiological theories of disease. In the second (confirmatory investigation), researchers should aim at demonstrating strong and reproducible treatment effects in relevant animal models. Each mode entails different study designs, confronts different validity threats, and supports different kinds of inferences. Research policies should seek to disentangle the two modes and leverage their complementarity. In particular, policies should discourage the common use of exploratory studies to support confirmatory inferences, promote a greater volume of confirmatory investigation, and customize design and reporting guidelines for each mode.

  9. Factor Structure Invariance of the Kaufman Adolescent and Adult Intelligence Test across Male and Female Samples

    Science.gov (United States)

    Immekus, Jason C.; Maller, Susan J.

    2010-01-01

    Multisample confirmatory factor analysis (MCFA) and latent mean structures analysis (LMS) were used to test measurement invariance and latent mean differences on the Kaufman Adolescent and Adult Intelligence Scale[TM] (KAIT) across males and females in the standardization sample. MCFA found that the parameters of the KAIT two-factor model were…

  10. Examination of the Factor Structure and Concurrent Validity of the Langer Mindfulness/Mindlessness Scale

    Science.gov (United States)

    Haigh, Emily A. P.; Moore, Michael T.; Kashdan, Todd B.; Fresco, David M.

    2011-01-01

    Langer's theory of mindfulness proposes that a mindful person seeks out and produces novelty, is attentive to context, and is flexible in thought and behavior. In three independent studies, the factor structure of the Langer Mindfulness/Mindlessness Scale was examined. Confirmatory factor analysis failed to replicate the four-factor model and a…

  11. Diagnosis of brain death: confirmatory tests after clinical test

    Institute of Scientific and Technical Information of China (English)

    Su Yingying; Yang Qinglin; Liu Gang; Zhang Yan; Ye Hong; Gao Daiquan; Zhang Yunzhou

    2014-01-01

    Background The brain death confirmation tests occupy a different position in each country's diagnostic criteria (or guideline); the choices of tests are also different.China brain death criteria include clinical judgment and confirmation tests.This study aimed to confirm the preferred confirmatory test and complementary confirmatory tests.Methods We did a clinical brain death determination on deep coma patients,and then divided them into brain death group and non-brain death group.According to the Chinese standards for determining brain death,both the groups accepted confirmatory tests including electroencephalograph (EEG),somatosensory evoked potentials (SEP),and transcranial Doppler (TCD).The sensitivity,specificity,false positive rate,and false negative rate were calculated to evaluate the accuracy of the confirmatory tests.Results Among the 131 cases of patients,103 patients met the clinical criteria of brain death.Respiratory arrest provocation test was performed on 44 cases and 32 cases (73%) successfully completed and confirmed that they have no spontaneous breathing.Of the three confirmation tests,EEG had the highest completion rate (98%) and good sensitivity (83%) and specificity (97%); TCD had followed completion rate (54%) and not good sensitivity (73%) and specificity (75%); SEP had the lowest completion rate (49%),good sensitivity (100%),and not good specificity (78%).After the combination of SEP or TCD with EEG,the specificity can increase to 100%.Conclusions The completion rate of respiratory arrest provocation test remains a problem in the clinical diagnosis of brain death.If the test cannot be completed,whether to increase a confirmatory test is debatable.SEP had an ideal sensitivity,and the specificity will reach 100% after combining with TCD or EEG.When a confirmed test was uncertain,we suggest increasing another confirmatory test.

  12. Analysis of causal relationships by structural equation modeling to determine the factors influencing cognitive function in elderly people in Japan.

    Science.gov (United States)

    Kimura, Daisuke; Nakatani, Ken; Takeda, Tokunori; Fujita, Takashi; Sunahara, Nobuyuki; Inoue, Katsumi; Notoya, Masako

    2015-01-01

    The purpose of this study is to identify a potentiality factor that is a preventive factor for decline in cognitive function. Additionally, this study pursues to clarify the causal relationship between the each potential factor and its influence on cognitive function. Subjects were 366 elderly community residents (mean age 73.7 ± 6.4, male 51, female 315) who participated in the Taketoyo Project from 2007 to 2011. Factor analysis was conducted to identify groupings within mental, social, life, physical and cognitive functions. In order to detect clusters of 14 variables, the item scores were subjected to confirmatory factor analysis. We performed Structural Equation Modeling analysis to calculate the standardization coefficient and correlation coefficient for every factor. The cause and effect hypothesis model was used to gather two intervention theory hypotheses for dementia prevention (direct effect, indirect effect) in one system. Finally, we performed another Structural Equation Modeling analysis to calculate the standardization of the cause and effect hypothesis model. Social participation was found to be activated by the improvement of four factors, and in turn, activated "Social participation" acted on cognitive function.

  13. A Hierarchical Three-Factor Model of Inattention-Hyperactivity-Impulsivity Derived from the Attention Problems Syndrome of the Teacher's Report Form

    Science.gov (United States)

    Dumenci, Levent; McConaughy, Stephanie H.; Achenbach, Thomas M.

    2005-01-01

    Confirmatory factor analysis was used to test three plausible conceptualizations of Inattention-Hyperactivity-Impulsivity (Ina-H-I) derived from the Attention Problems syndrome of the Teacher's Report Form (TRF): (a) a one factor model representing a general Ina-H-I factor; (b) a correlated two-factor model representing the Inattention (Ina) and…

  14. Kernel parameter dependence in spatial factor analysis

    DEFF Research Database (Denmark)

    Nielsen, Allan Aasbjerg

    2010-01-01

    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...

  15. Multistructure Statistical Model Applied To Factor Analysis

    Science.gov (United States)

    Bentler, Peter M.

    1976-01-01

    A general statistical model for the multivariate analysis of mean and covariance structures is described. Matrix calculus is used to develop the statistical aspects of one new special case in detail. This special case separates the confounding of principal components and factor analysis. (DEP)

  16. ANALYSIS OF FACTORS INFLUENCING TRAVEL CONSUMER SATISFACTION AS REVEALED BY ONLINE COMMUNICATION PLATFORMS

    Directory of Open Access Journals (Sweden)

    Olimpia I. BAN

    2016-08-01

    Full Text Available The objective of the present empirical study is to determine the factors influencing the tourism consumer satisfaction, as it results from the evaluations posted on virtual platforms. The communication platform chosen as study is the Romanian website Amfostacolo.ro. In this case, the travel consumer satisfaction is expressed by the score of the ratings posted on the virtual platform Amfostacolo.ro and the decision to recommend or not the unit / destination. Considering the peculiarities of the communication platform studied, the elements influencing the score indicating satisfaction there can be identified as components of tourism supply and the characteristics of the reviewer. Data processing has been carried out with ordinary least squares (OLS, structural equation modeling (confirmatory factor analysis, path analysis, cluster analisys and polytomous logistic regression. The results broadly confirm the hypotheses, namely that: the type of stay and the age of the reviewer influence the satisfaction of the consumer more than the destination and number of stars of the accommodation, the age group of the reviewer influences the destination yet it is uncertain about the influence of the variables related to the holiday (the type of stay and the number of stars of the accommodation, the meal service influences more than other attributes the consumer satisfaction and the recommendation of the reviewer is influenced by the characteristics related to his person and the holiday consumed.

  17. The manifestation of depression in the context of urban poverty: a factor analysis of the Children's Depression Inventory in low-income urban youth.

    Science.gov (United States)

    Taylor, Jeremy J; Grant, Kathryn E; Amrhein, Kelly; Carter, Jocelyn Smith; Farahmand, Farahnaz; Harrison, Aubrey; Thomas, Kina J; Carleton, Russell A; Lugo-Hernandez, Eduardo; Katz, Brian N

    2014-12-01

    The current study used confirmatory factor analysis (CFA) to compare the fit of 2 factor structures for the Children's Depression Inventory (CDI) in an urban community sample of low-income youth. Results suggest that the 6-factor model developed by Craighead and colleagues (1998) was a strong fit to the pattern of symptoms reported by low-income urban youth and was a superior fit with these data than the original 5-factor model of the CDI (Kovacs, 1992). Additionally, results indicated that all 6 factors from the Craighead model contributed to the measurement of depression, including School Problems and Externalizing Problems especially for older adolescents. This pattern of findings may reflect distinct contextual influences of urban poverty on the manifestation and measurement of depression in youth.

  18. 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...

  19. Empirical evidence for a four factor framework of personality disorder organization

    DEFF Research Database (Denmark)

    Rossi, Gina; Elklit, Ask; Simonsen, Erik

    2010-01-01

    The factor structure of the Millon Clinical Multiaxial Inventory-III (Millon, Millon, Davis, & Grossman, 2006) personality disorder scales was analyzed using multigroup confirmatory factor analysis on data obtained from a Danish (N = 2030) and a Belgian (N = 1210) sample. Two-, three-, and four f...

  20. The Three Domains of Disgust Scale: Factor Structure, Psychometric Properties, and Conceptual Limitations

    Science.gov (United States)

    Olatunji, Bunmi O.; Adams, Thomas; Ciesielski, Bethany; David, Bieke; Sarawgi, Shivali; Broman-Fulks, Joshua

    2012-01-01

    This investigation examined the measurement properties of the Three Domains of Disgust Scale (TDDS). Principal components analysis in Study 1 (n = 206) revealed three factors of Pathogen, Sexual, and Moral Disgust that demonstrated excellent reliability, including test-retest over 12 weeks. Confirmatory factor analyses in Study 2 (n = 406)…

  1. Factor Structure of the Acute Stress Disorder Scale in a Sample of Hurricane Katrina Evacuees

    Science.gov (United States)

    Edmondson, Donald; Mills, Mary Alice; Park, Crystal L.

    2010-01-01

    Acute stress disorder (ASD) is a poorly understood and controversial diagnosis (A. G. Harvey & R. A. Bryant, 2002). The present study used confirmatory factor analysis (CFA) to test the factor structure of the most widely used self-report measure of ASD, the Acute Stress Disorder Scale (R. A. Bryant, M. L. Moulds, & R. M. Guthrie, 2000),…

  2. Existential Measurement: A Factor Analytic Study of Some Current Psychometric Instruments.

    Science.gov (United States)

    Thauberger, Patrick C.; And Others

    1982-01-01

    Research in existentialism and ontology has given rise to several psychometric instruments. Used both exploratory and confirmatory principal-factor analyses to study relationships among 16 existential scales. Exploratory factor analysis provided some support of the theory that the avoidance of existential confrontation is a central function of…

  3. The Three Domains of Disgust Scale: Factor Structure, Psychometric Properties, and Conceptual Limitations

    Science.gov (United States)

    Olatunji, Bunmi O.; Adams, Thomas; Ciesielski, Bethany; David, Bieke; Sarawgi, Shivali; Broman-Fulks, Joshua

    2012-01-01

    This investigation examined the measurement properties of the Three Domains of Disgust Scale (TDDS). Principal components analysis in Study 1 (n = 206) revealed three factors of Pathogen, Sexual, and Moral Disgust that demonstrated excellent reliability, including test-retest over 12 weeks. Confirmatory factor analyses in Study 2 (n = 406)…

  4. Confirming the Three-Factor Structure of the Disgust Scale-Revised in Eight Countries

    NARCIS (Netherlands)

    Olatunji, Bunmi O.; Moretz, Melanie W.; Mckay, Dean; Bjorklund, Fredrik; de Jong, Peter J.; Haidt, Jonathan; Hursti, Timo J.; Imada, Sumio; Koller, Silvia; Mancini, Francesco; Page, Andrew C.; Schienle, Anne

    2009-01-01

    The current study evaluates the factor structure of the Disgust Scale-Revised (DS-R) in eight countries: Australia, Brazil, Germany, Italy, Japan, the Netherlands, Sweden, and the United States (N = 2,606). Confirmatory factor analysis is used to compare two different models of the DS-R and to inves

  5. 10 CFR 26.101 - Conducting a confirmatory test for alcohol.

    Science.gov (United States)

    2010-01-01

    ... 10 Energy 1 2010-01-01 2010-01-01 false Conducting a confirmatory test for alcohol. 26.101 Section... Testing § 26.101 Conducting a confirmatory test for alcohol. (a) The confirmatory test must begin as soon... that meets the requirements of § 26.91(b) and (c) was used for the initial alcohol test, the same...

  6. What Is Rotating in Exploratory Factor Analysis?

    Science.gov (United States)

    Osborne, Jason W.

    2015-01-01

    Exploratory factor analysis (EFA) is one of the most commonly-reported quantitative methodology in the social sciences, yet much of the detail regarding what happens during an EFA remains unclear. The goal of this brief technical note is to explore what "rotation" is, what exactly is rotating, and why we use rotation when performing…

  7. Stepwise Variable Selection in Factor Analysis.

    Science.gov (United States)

    Kano, Yutaka; Harada, Akira

    2000-01-01

    Takes several goodness-of-fit statistics as measures of variable selection and develops backward elimination and forward selection procedures in exploratory factor analysis. A newly developed variable selection program, SEFA, can print several fit measures for a current model and models obtained by removing an internal variable or adding an…

  8. Multilevel exploratory factor analysis of discrete data

    NARCIS (Netherlands)

    Barendse, M.T.; Oort, F.J.; Jak, S.; Timmerman, M.E.

    2013-01-01

    Exploratory factor analysis (EFA) can be used to determine the dimensionality of a set of items. When data come from clustered subjects, such as pupils within schools or children within families, the hierarchical structure of the data should be taken into account. Standard multilevel EFA is only sui

  9. 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.

  10. 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.

  11. Measurement Invariance of Big-Five Factors over the Life Span: ESEM Tests of Gender, Age, Plasticity, Maturity, and La Dolce Vita Effects

    Science.gov (United States)

    Marsh, Herbert W.; Nagengast, Benjamin; Morin, Alexandre J. S.

    2013-01-01

    This substantive-methodological synergy applies evolving approaches to factor analysis to substantively important developmental issues of how five-factor-approach (FFA) personality measures vary with gender, age, and their interaction. Confirmatory factor analyses (CFAs) conducted at the item level often do not support a priori FFA structures, due…

  12. Developing Student Housing Quality Scale in Higher Institutions of Learning: A Factor Analysis Approach

    Directory of Open Access Journals (Sweden)

    F. K. Bondinuba

    2013-01-01

    Full Text Available The researchers developed an instrument for measuring student housing quality (SHQ in Higher Institutions of Learning (HIL in Ghana. The paper sought to validate the student housing quality scale (SHOQUAL through factor analysis approach. 700 respondents were sampled from two public HIL in Ghana in a cross-sectional survey that used a self-administered structured questionnaire for data collection. Confirmatory factor fnalysis (CFA was conducted to detect the underlying latent variables that significantly determine SHQ in Ghanaian HIL. The findings indicate that four emerged SHQ dimensions relevant to the research context were labelled as follows: core facility quality, enabling facility quality, support facility quality, and cost of housing. The constructs in the derived model possess high reliability and validity. Student housing service providers could conveniently use the derived instrument items for measuring SHQ in HIL. Implications are discussed and limitations are noted. The paper contributes to the literature in the areas of models of service quality in student housing management in HIL.

  13. 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

  14. Validation of the Malay Version of the Parental Bonding Instrument among Malaysian Youths Using Exploratory Factor Analysis

    Science.gov (United States)

    MUHAMMAD, Noor Azimah; SHAMSUDDIN, Khadijah; OMAR, Khairani; SHAH, Shamsul Azhar; MOHD AMIN, Rahmah

    2014-01-01

    Background: Parenting behaviour is culturally sensitive. The aims of this study were (1) to translate the Parental Bonding Instrument into Malay (PBI-M) and (2) to determine its factorial structure and validity among the Malaysian population. Methods: The PBI-M was generated from a standard translation process and comprehension testing. The validation study of the PBI-M was administered to 248 college students aged 18 to 22 years. Results: Participants in the comprehension testing had difficulty understanding negative items. Five translated double negative items were replaced with five positive items with similar meanings. Exploratory factor analysis showed a three-factor model for the PBI-M with acceptable reliability. Four negative items (items 3, 4, 8, and 16) and item 19 were omitted from the final PBI-M list because of incorrect placement or low factor loading (Malaysian population favoured positive items in answering questions. The PBI-M confirmed the three-factor model that consisted of care, autonomy and overprotection. The PBI-M is a valid and reliable instrument to assess the Malaysian parenting style. Confirmatory factor analysis may further support this finding. Keywords: Malaysia, parenting, questionnaire, validity PMID:25977634

  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. Factor Structure of the Torrance Tests of Creative Thinking Verbal Form B in a Spanish-Speaking Population

    Science.gov (United States)

    Krumm, Gabriela; Aranguren, María; Arán Filippetti, Vanessa; Lemos, Viviana

    2016-01-01

    The objective of this study was to compare, through a Confirmatory Factor Analysis, two different theoretical models that explain the operationalized creativity construct with the Verbal Torrance Tests of Creative Thinking (TTCT), Form B. Model 1 is represented by six factors which correspond to each activity and its respective indicators while…

  17. What Is Rotating in Exploratory Factor Analysis?

    Directory of Open Access Journals (Sweden)

    Jason W. Osborne

    2015-01-01

    Full Text Available Exploratory factor analysis (EFA is one of the most commonly-reported quantitative methodology in the social sciences, yet much of the detail regarding what happens during an EFA remains unclear. The goal of this brief technical note is to explore what - rotation- is, what exactly is rotating, and why we use rotation when performing EFAs. Some commentary about the relative utility and desirability of different rotation methods concludes the narrative.

  18. 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.

  19. Factorial Structure and Invariance Analysis of the Sense of Belonging Scales

    Science.gov (United States)

    Tovar, Esau; Simon, Merril A.

    2010-01-01

    Using a diverse sample of university students, this article describes outcomes of a confirmatory factor analysis and a group invariance analysis conducted to validate the factorial structure of the Sense of Belonging Scales. Accordingly, a modified factor structure departing significantly from that of the original authors is proposed. (Contains 5…

  20. Factorial Structure and Invariance Analysis of the Sense of Belonging Scales

    Science.gov (United States)

    Tovar, Esau; Simon, Merril A.

    2010-01-01

    Using a diverse sample of university students, this article describes outcomes of a confirmatory factor analysis and a group invariance analysis conducted to validate the factorial structure of the Sense of Belonging Scales. Accordingly, a modified factor structure departing significantly from that of the original authors is proposed. (Contains 5…

  1. Prevalence of hemoglobinopathies in school children: the importance of using confirmatory methods

    Directory of Open Access Journals (Sweden)

    Cristiane Fernandes de Freitas Tavares

    2015-06-01

    Full Text Available The hemoglobinopathies are included among the most common genetic diseases in the world. In Brazil, hemoglobinopathies are related to the diversity of racial backgrounds and the degree of interbreeding. The study focused on the prevalence of hemoglobinopathies using conventional and confirmatory laboratory tests in children from public schools in Ribeirão Preto-SP. The study involved the participation of 427 children between six and nine years of age. Hematologic evaluation, hemoglobin electrophoresis on cellulose acetate at alkaline pH, quantification of hemoglobin fractions by high performance liquid chromatography (HPLC and detection of -α3.7 deletion for α thalassemia by polymerase chain reaction were performed. The results of hemoglobin electrophoresis on cellulose acetate and HPLC of the children studied showed the presence of 30 children (7% with hemoglobinopathies. Eleven children presented results indicating suspicion of S/β-thalassemia; their parents and/or siblings were evaluated and confirmed the presence of only Hb S. The analysis of deletion -α3.7to characterize α-thalassemias sampling performed on 207 participants identified 26 children (12.6% with deletion -α3.7. Thus, 54 (12.6% of the children studied present this genetic alteration. For the detection of α-thalassemias it is necessary to use confirmatory methods such as molecular analysis and evaluation of family members in doubtful cases to facilitate genetic counseling in families, in which deletion -α3.7 is more frequent in Brazil.

  2. Factor analysis identifies subgroups of constipation

    Institute of Scientific and Technical Information of China (English)

    Philip G Dinning; Mike Jones; Linda Hunt; Sergio E Fuentealba; Jamshid Kalanter; Denis W King; David Z Lubowski; Nicholas J Talley; Ian J Cook

    2011-01-01

    AIM: To determine whether distinct symptom groupings exist in a constipated population and whether such grouping might correlate with quantifiable pathophysiological measures of colonic dysfunction. METHODS: One hundred and ninety-one patients presenting to a Gastroenterology clinic with constipation and 32 constipated patients responding to a newspaper advertisement completed a 53-item, wide-ranging selfreport questionnaire. One hundred of these patients had colonic transit measured scintigraphically. Factor analysis determined whether constipation-related symptoms grouped into distinct aspects of symptomatology. Cluster analysis was used to determine whether individual patients naturally group into distinct subtypes. RESULTS: Cluster analysis yielded a 4 cluster solution with the presence or absence of pain and laxative unresponsiveness providing the main descriptors. Amongst all clusters there was a considerable proportion of patients with demonstrable delayed colon transit, irritable bowel syndrome positive criteria and regular stool frequency. The majority of patients with these characteristics also reported regular laxative use. CONCLUSION: Factor analysis identified four constipation subgroups, based on severity and laxative unresponsiveness, in a constipated population. However, clear stratification into clinically identifiable groups remains imprecise.

  3. A kernel version of spatial factor analysis

    DEFF Research Database (Denmark)

    Nielsen, Allan Aasbjerg

    2009-01-01

    of PCA and related techniques. An interesting dilemma in reduction of dimensionality of data is the desire to obtain simplicity for better understanding, visualization and interpretation of the data on the one hand, and the desire to retain sufficient detail for adequate representation on the other hand......Based on work by Pearson in 1901, Hotelling in 1933 introduced principal component analysis (PCA). PCA is often used for general feature generation and linear orthogonalization or compression by dimensionality reduction of correlated multivariate data, see Jolliffe for a comprehensive description...... 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...

  4. 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

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

    Science.gov (United States)

    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.

  6. Factor Analysis of Teenage Athletes’ Goal Orientations and Sports Participation Motives in Leisure Time

    Directory of Open Access Journals (Sweden)

    Noshin Benar

    2014-04-01

    Full Text Available The aim of the present study was to identify the most important goal orientations and sport participation motives among teenage athletes in leisure time. In addition, these variables were prioritized and associations between all constructs have been studied. For this purpose, 376 Iranian teenage athletes were singled out by cluster–random sampling, and responded to Task and Ego Orientation Sport Questionnaire (T.E.O.S.Q, and Participation Motivation Questionnaire (PMQ. The results of Confirmatory Factor Analysis (CFA showed fit model indexes for twosome dimensions of sport goals, and five motives of sport participation (RMSEA ≤ .06; χ2 / df ≤ 3; Goodness Indexes≥ .90. Based on CFA and loadings, goals of task-orientation (r= .93 and ego-orientation (r= .43 were identified for sport goals, and motives of energy release (r= .94, status (r = .76, fitness (r= .48, team atmosphere (r= .46, and skill development (r= .26 obtained for teenagers’ sport participation, respectively. In general, the findings of the present study provided the adequate understanding for sport managers, coaches, physical educators and their parents by how sport motivation of teenagers, via satisfying teenager’s motives specially motives of energy release and status, provided their satisfaction and gratification during long life.

  7. Confirmatory Analysis of the Athletic Team Merchandise Model

    Science.gov (United States)

    Lee, Donghun; Trail, Galen T.

    2012-01-01

    Although sales of athletic team merchandise (ATM) contribute to the overall consumption of sport, a research effort that comprehensively measures aspects that trigger the consumption of ATM is lacking. In light of the gap, utilizing multiple theories and other concepts that describe product consumption, the authors of this article empirically…

  8. Analysis of Ultra Linguistic Factors in Interpretation

    Institute of Scientific and Technical Information of China (English)

    姚嘉

    2015-01-01

    The quality of interpretation is a dynamic conception, involving a good deal of variables, such as the participants, the situations, working conditions, cultures etc.. Therefore, in interpretation, those static elements, such as traditional grammars and certain linguistic rules can not be counted as the only criteria for the quality of interpretation. That is, there are many other non-language elements—Ultra-linguistic factors that play an important role in interpretation. Ultra-linguistic factors get rid of the bounding of traditional grammar and parole, and reveal the facts in an indirect way. This paper gives a brief analysis of Ultra Lin⁃guistic elements in interpretation in order to achieve better result in interpretation practice.

  9. Factor Rotation and Standard Errors in Exploratory Factor Analysis

    Science.gov (United States)

    Zhang, Guangjian; Preacher, Kristopher J.

    2015-01-01

    In this article, we report a surprising phenomenon: Oblique CF-varimax and oblique CF-quartimax rotation produced similar point estimates for rotated factor loadings and factor correlations but different standard error estimates in an empirical example. Influences of factor rotation on asymptotic standard errors are investigated using a numerical…

  10. Impact of a confirmatory RhD test on the correct serologic typing of blood donors

    Directory of Open Access Journals (Sweden)

    Luciana Cayres Schmidt

    2015-10-01

    Full Text Available BACKGROUND: The RHD gene is highly polymorphic, which results in a large number of RhD variant phenotypes. Discrepancies in RhD typing are still a problem in blood banks and increase the risk of alloimmunization. In this study, the RhD typing strategy at a blood bank in Brazil was evaluated.METHODS: One-hundred and fifty-two samples typed as RhD negative and C or E positive by routine tests (automated system and indirect antiglobulin test using the tube technique were reevaluated for RhD status by three methods. The method with the best performance was implemented and evaluated for a period of one year (n = 4897 samples. Samples that were D positive exclusively in the confirmatory test were submitted to molecular analysis.RESULTS: The gel test for indirect antiglobulin testing with anti-D immunoglobulin G (clone ESD1 presented the best results. Seventy samples (1.43% previously typed as RhD negative showed reactivity in the gel test for indirect antiglobulin testing and were reclassified as D positive. D variants that may cause alloimmunization, such as weak D type 2 and partial DVI, were detected.CONCLUSION: The confirmatory RhD test using the gel test for indirect antiglobulin testing represents a breakthrough in transfusion safety in this blood center. Our results emphasize the importance of assessing the blood group typing strategy in blood banks.

  11. Model correction factor method for system analysis

    DEFF Research Database (Denmark)

    Ditlevsen, Ove Dalager; Johannesen, Johannes M.

    2000-01-01

    The Model Correction Factor Method is an intelligent response surface method based on simplifiedmodeling. MCFM is aimed for reliability analysis in case of a limit state defined by an elaborate model. Herein it isdemonstrated that the method is applicable for elaborate limit state surfaces on which...... severallocally most central points exist without there being a simple geometric definition of the corresponding failuremodes such as is the case for collapse mechanisms in rigid plastic hinge models for frame structures. Taking as simplifiedidealized model a model of similarity with the elaborate model...... surface than existing in the idealized model....

  12. Group sequential and confirmatory adaptive designs in clinical trials

    CERN Document Server

    Wassmer, Gernot

    2016-01-01

    This book provides an up-to-date review of the general principles of and techniques for confirmatory adaptive designs. Confirmatory adaptive designs are a generalization of group sequential designs. With these designs, interim analyses are performed in order to stop the trial prematurely under control of the Type I error rate. In adaptive designs, it is also permissible to perform a data-driven change of relevant aspects of the study design at interim stages. This includes, for example, a sample-size reassessment, a treatment-arm selection or a selection of a pre-specified sub-population. Essentially, this adaptive methodology was introduced in the 1990s. Since then, it has become popular and the object of intense discussion and still represents a rapidly growing field of statistical research. This book describes adaptive design methodology at an elementary level, while also considering designing and planning issues as well as methods for analyzing an adaptively planned trial. This includes estimation methods...

  13. Scalable group level probabilistic sparse factor analysis

    DEFF Research Database (Denmark)

    Hinrich, Jesper Løve; Nielsen, Søren Føns Vind; Riis, Nicolai Andre Brogaard

    2017-01-01

    Many data-driven approaches exist to extract neural representations of functional magnetic resonance imaging (fMRI) data, but most of them lack a proper probabilistic formulation. We propose a scalable group level probabilistic sparse factor analysis (psFA) allowing spatially sparse maps, component...... pruning using automatic relevance determination (ARD) and subject specific heteroscedastic spatial noise modeling. For task-based and resting state fMRI, we show that the sparsity constraint gives rise to components similar to those obtained by group independent component analysis. The noise modeling...... shows that noise is reduced in areas typically associated with activation by the experimental design. The psFA model identifies sparse components and the probabilistic setting provides a natural way to handle parameter uncertainties. The variational Bayesian framework easily extends to more complex...

  14. 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

  15. Factor Structure of the Torrance Tests of Creative Thinking Figural Form B in Spanish-Speaking Children: Measurement Invariance across Gender

    Science.gov (United States)

    Krumm, Gabriela; Lemos, Viviana; Filippetti, Vanessa Arán

    2014-01-01

    On the basis of contradictory findings regarding the factor structure of the Torrance Tests of Creative Thinking (TTCT) Figural scale, the objective of this study was to compare, through a confirmatory factor analysis (CFA), four theoretical models that explain the operationalized creativity construct with the TTCT. We evaluated a sample of 577…

  16. Family Engagement in Literacy Activities: Revised Factor Structure for the Familia--An Instrument Examining Family Support for Early Literacy Development

    Science.gov (United States)

    Buhs, Eric S.; Welch, Greg; Burt, Jennifer; Knoche, Lisa

    2011-01-01

    This study evaluated a data-set drawn using "The Familia"--a measure originally developed to evaluate shared-reading activities. A newly developed set of conceptual supports and a confirmatory factor analysis (CFA) were applied to a new factor structure/model. Data were drawn from 219 young children and their families (mean age = 43…

  17. Family Engagement in Literacy Activities: Revised Factor Structure for the Familia--An Instrument Examining Family Support for Early Literacy Development

    Science.gov (United States)

    Buhs, Eric S.; Welch, Greg; Burt, Jennifer; Knoche, Lisa

    2011-01-01

    This study evaluated a data-set drawn using "The Familia"--a measure originally developed to evaluate shared-reading activities. A newly developed set of conceptual supports and a confirmatory factor analysis (CFA) were applied to a new factor structure/model. Data were drawn from 219 young children and their families (mean age = 43 months)…

  18. Family Engagement in Literacy Activities: Revised Factor Structure for the Familia--An Instrument Examining Family Support for Early Literacy Development

    Science.gov (United States)

    Buhs, Eric S.; Welch, Greg; Burt, Jennifer; Knoche, Lisa

    2011-01-01

    This study evaluated a data-set drawn using "The Familia"--a measure originally developed to evaluate shared-reading activities. A newly developed set of conceptual supports and a confirmatory factor analysis (CFA) were applied to a new factor structure/model. Data were drawn from 219 young children and their families (mean age = 43…

  19. Societal Factors Impacting Child Welfare: Validating the Perceptions of Child Welfare Scale

    Science.gov (United States)

    Auerbach, Charles; Zeitlin, Wendy; Augsberger, Astraea; McGowan, Brenda G.; Claiborne, Nancy; Lawrence, Catherine K.

    2015-01-01

    Objective: This research examines the psychometric properties of the Perceptions of Child Welfare Scale (PCWS). This instrument is designed to assess child welfare workers' understanding of how society views their role and their work. Methods: Confirmatory factor analysis (CFA) was utilized to analyze data on 538 child welfare workers. Results:…

  20. Assessing Disharmony and Disaffection in Intimate Relationships: Revision of the Marital Satisfaction Inventory Factor Scales

    Science.gov (United States)

    Herrington, Rachael L.; Mitchell, Alexandra E.; Castellani, Angela M.; Joseph, Jana I.; Snyder, Douglas K.; Gleaves, David H.

    2008-01-01

    Previous research has identified 2 broad components of distress in intimate relationships: overt conflict, or "disharmony", and emotional distance, or "disaffection". Using confirmatory factor analysis, the authors derived 2 broadband scales of disharmony and disaffection from the Marital Satisfaction Inventory-Revised (D. K. Snyder, 1997),…

  1. The assessment of risky decision making: a factor analysis of performance on the Iowa Gambling Task, Balloon Analogue Risk Task, and Columbia Card Task.

    Science.gov (United States)

    Buelow, Melissa T; Blaine, Amber L

    2015-09-01

    Researchers and clinicians frequently use behavioral measures to assess decision making. The most common task that is marketed to clinicians is the Iowa Gambling Task (IGT), thought to assess risky decision making. How does performance on the IGT relate to performance on other common measures of decision making? The present study sought to examine relationships between the IGT, the Balloon Analogue Risk Task (BART), and the Columbia Card Task (CCT). Participants were 390 undergraduate students who completed the IGT, BART, and either the "hot" or "cold" CCT. Principal components factor analysis on the IGT, BART, and CCT-cold (n = 112) indicated that the IGT measures a different component of decision making than the BART, and the CCT-cold weakly correlated with early IGT trials. Results of the exploratory factor analysis on the IGT, BART, and CCT-hot (n = 108) revealed a similar picture: the IGT and BART assessed different types of decision making, and the BART and CCT-hot were weakly correlated. A confirmatory factor analysis (n = 170) indicated that a 3-factor model without the CCT-cold (Factor 1: later IGT trials; Factor 2: BART; and Factor 3: early IGT trials) was a better fitting model than one that included the CCT-cold and early IGT trials on the same factor. Collectively, the present results suggest that the IGT, BART, and CCT all measure unique, nonoverlapping decision making processes. Further research is needed to more fully understand the neuropsychological construct of decision making.

  2. Attitude Exploration Using Factor Analysis Technique

    Directory of Open Access Journals (Sweden)

    Monika Raghuvanshi

    2016-12-01

    Full Text Available Attitude is a psychological variable that contains positive or negative evaluation about people or an environment. The growing generation possesses learning skills, so if positive attitude is inculcated at the right age, it might therefore become habitual. Students in the age group 14-20 years from the city of Bikaner, India, are the target population for this study. An inventory of 30Likert-type scale statements was prepared in order to measure attitude towards the environment and matters related to conservation. The primary data is collected though a structured questionnaire, using cluster sampling technique and analyzed using the IBM SPSS 23 statistical tool. Factor analysis is used to reduce 30 variables to a smaller number of more identifiable groups of variables. Results show that students “need more regulation and voluntary participation to protect the environment”, “need conservation of water and electricity”, “are concerned for undue wastage of water”, “need visible actions to protect the environment”, “need strengthening of the public transport system”, “are a little bit ignorant about the consequences of global warming”, “want prevention of water pollution by industries”, “need changing of personal habits to protect the environment”, and “don’t have firsthand experience of global warming”. Analysis revealed that nine factors obtained could explain about 58.5% variance in the attitude of secondary school students towards the environment in the city of Bikaner, India. The remaining 39.6% variance is attributed to other elements not explained by this analysis. A global campaign for improvement in attitude about environmental issues and its utility in daily lives may boost positive youth attitudes, potentially impacting worldwide. A cross-disciplinary approach may be developed by teaching along with other related disciplines such as science, economics, and social studies etc.

  3. Factorized molecular wave functions: Analysis of the nuclear factor

    Energy Technology Data Exchange (ETDEWEB)

    Lefebvre, R., E-mail: roland.lefebvre@u-psud.fr [Institut des Sciences Moléculaires d’ Orsay, Bâtiment 350, UMR8214, CNRS- Université. Paris-Sud, 91405 Orsay, France and Sorbonne Universités, UPMC Univ Paris 06, UFR925, F-75005 Paris (France)

    2015-06-07

    The exact factorization of molecular wave functions leads to nuclear factors which should be nodeless functions. We reconsider the case of vibrational perturbations in a diatomic species, a situation usually treated by combining Born-Oppenheimer products. It was shown [R. Lefebvre, J. Chem. Phys. 142, 074106 (2015)] that it is possible to derive, from the solutions of coupled equations, the form of the factorized function. By increasing artificially the interstate coupling in the usual approach, the adiabatic regime can be reached, whereby the wave function can be reduced to a single product. The nuclear factor of this product is determined by the lowest of the two potentials obtained by diagonalization of the potential matrix. By comparison with the nuclear wave function of the factorized scheme, it is shown that by a simple rectification, an agreement is obtained between the modified nodeless function and that of the adiabatic scheme.

  4. Correspondence factor analysis of steroid libraries.

    Science.gov (United States)

    Ojasoo, T; Raynaud, J P; Doré, J C

    1995-06-01

    The receptor binding of a library of 187 steroids to five steroid hormone receptors (estrogen, progestin, androgen, mineralocorticoid, and glucocorticoid) has been analyzed by correspondence factor analysis (CFA) in order to illustrate how the method could be used to derive structure-activity-relationships from much larger libraries. CFA is a cartographic multivariate technique that provides objective distribution maps of the data after reduction and filtering of redundant information and noise. The key to the analysis of very complex data tables is the formation of barycenters (steroids with one or more common structural fragments) that can be introduced into CFA analyses used as mathematical models. This is possible in CFA because the method uses X2-metrics and is based on the distributional equivalence of the rows and columns of the transformed data matrix. We have thus demonstrated, in purely objective statistical terms, the general conclusions on the specificity of various functional and other groups derived from prior analyses by expert intuition and reasoning. A finer analysis was made of a series of A-ring phenols showing the high degree of glucocorticoid receptor and progesterone receptor binding that can be generated by certain C-11-substitutions despite the presence of the phenolic A-ring characteristic of estrogen receptor-specific binding.

  5. Physiological Factors Analysis in Unpressurized Aircraft Cabins

    Science.gov (United States)

    Patrao, Luis; Zorro, Sara; Silva, Jorge

    2016-11-01

    Amateur and sports flight is an activity with growing numbers worldwide. However, the main cause of flight incidents and accidents is increasingly pilot error, for a number of reasons. Fatigue, sleep issues and hypoxia, among many others, are some that can be avoided, or, at least, mitigated. This article describes the analysis of psychological and physiological parameters during flight in unpressurized aircraft cabins. It relates cerebral oximetry and heart rate with altitude, as well as with flight phase. The study of those parameters might give clues on which variations represent a warning sign to the pilot, thus preventing incidents and accidents due to human factors. Results show that both cerebral oximetry and heart rate change along the flight and altitude in the alert pilot. The impaired pilot might not reveal these variations and, if this is detected, he can be warned in time.

  6. The analysis of multitrait-multimethod matrices via constrained components analysis

    NARCIS (Netherlands)

    Kiers, Henk A.L.; Takane, Yoshio; Ten Berge, Jos M.F.

    1996-01-01

    Multitrait-Multimethod (MTMM) matrices are often analyzed by means of confirmatory factor analysis (CFA). However, fitting MTMM models often leads to improper solutions, or nonconvergence. In an attempt to overcome these problems, various alternative CFA models have been proposed, but with none of

  7. Body Appreciation Scale: Evaluation of the Factor Structure and Psychometric Properties among Male and Female Turkish University Students

    Directory of Open Access Journals (Sweden)

    Orkide BAKALIM

    2016-04-01

    Full Text Available The Body Appreciation Scale (BAS was developed by Avalos, Tylka & Wood-Barcalow (2005 to determine body appreciation. The present study examined the factor structure of the BAS among Turkish women and men university students. For this purpose, confirmatory factor analysis (competing model analysis was conducted to evaluate the factor structure the BAS. Results from the confirmatory factor analysis on 741 university student (431 women; 310 men suggested that a two-factor model with four items deleted represents an adequate description of the data, and best of the factor model proposed. In terms of convergent validity of the scale a negative and significant correlation was found between body appreciation and social appearance anxiety for women and men samples. The Turkish version of the BAS demonstrated adequate internal consistency and composite reliability. Finally, findings from t-test analysis showed that the BAS scores did not differ according to gender.

  8. A Polytomous Item Response Theory Analysis of Social Physique Anxiety Scale

    Science.gov (United States)

    Fletcher, Richard B.; Crocker, Peter

    2014-01-01

    The present study investigated the social physique anxiety scale's factor structure and item properties using confirmatory factor analysis and item response theory. An additional aim was to identify differences in response patterns between groups (gender). A large sample of high school students aged 11-15 years (N = 1,529) consisting of n =…

  9. Latent Variable Analysis of Coping, Anxiety/Depression, and Somatic Symptoms in Adolescents with Chronic Pain

    Science.gov (United States)

    Compas, Bruce E.; Boyer, Margaret C.; Stanger, Catherine; Colletti, Richard B.; Thomsen, Alexandra H.; Dufton, Lynette M.; Cole, David A.

    2006-01-01

    Reports of adolescents' coping with recurrent pain, symptoms of anxiety/depression, and somatic complaints were obtained from a sample of 164 adolescents with recurrent abdominal pain and their parents. Confirmatory factor analysis revealed that coping consisted of 3 nonorthogonal factors: Primary Control Engagement Coping (problem solving,…

  10. INDEPENDENT CONFIRMATORY SURVEY SUMMARY AND RESULTS FOR THE FORD NUCLEAR REACTOR, ANN ARBOR, MICHIGAN

    Energy Technology Data Exchange (ETDEWEB)

    ALTIC, NICK A

    2013-07-25

    At the NRC's request, ORAU conducted confirmatory surveys of the FNR during the period of December 4 through 6, 2012. The survey activities included visual inspections and measurement and sampling activities. Confirmatory activities also included the review and assessment of UM's project documentation and methodologies. Surface scans identified elevated activity in two areas. The first area was on a wall outside of Room 3103 and the second area was in the southwest section on the first floor. The first area was remediated to background levels. However, the second area was due to gamma shine from a neighboring source storage area. A retrospective analysis of UM's FSS data shows that for the SUs investigated by the ORAU survey team, UM met the survey requirements set forth in the FSSP. The total mean surface activity values were directly compared with the mean total surface activity reported by UM. Mean surface activity values determined by UM were within two standard deviations of the mean determined by ORAU. Additionally, all surface activity values were less than the corresponding gross beta DCGLW. Laboratory analysis of the soil showed that COC concentrations were less than the respective DCGLW values. For the inter-lab comparison, the DER was above 3 for only one sample. However, since the sum of fractions for each of the soil samples was below 1, thus none of the samples would fail to meet release guidelines. Based on the findings of the side-by-side direct measurements, and after discussion with the NRC and ORAU, UM decided to use a more appropriate source efficiency in their direct measurement calculations and changed their source efficiency from 0.37 to 0.25.

  11. "INDEPENDENT CONFIRMATORY SURVEY SUMMARY AND RESULTS FOR THE FORD NUCLEAR REACTOR, REVISION 1, ANN ARBOR, MICHIGAN

    Energy Technology Data Exchange (ETDEWEB)

    ALTIC, NICK A

    2013-08-01

    At the NRC's request, ORAU conducted confirmatory surveys of the FNR during the period of December 4 through 6, 2012. The survey activities included visual inspections and measurement and sampling activities. Confirmatory activities also included the review and assessment of UM's project documentation and methodologies. Surface scans identified elevated activity in two areas. The first area was on a wall outside of Room 3103 and the second area was in the southwest section on the first floor. The first area was remediated to background levels. However, the second area was due to gamma shine from a neighboring source storage area. A retrospective analysis of UM's FSS data shows that for the SUs investigated by the ORAU survey team, UM met the survey requirements set forth in the FSSP. The total mean surface activity values were directly compared with the mean total surface activity reported by UM. Mean surface activity values determined by UM were within two standard deviations of the mean determined by ORAU. Additionally, all surface activity values were less than the corresponding gross beta DCGL{sub W}. Laboratory analysis of the soil showed that COC concentrations were less than the respective DCGL{sub W} values. For the inter-lab comparison, the DER was above 3 for only one sample. However, since the sum of fractions for each of the soil samples was below 1, thus none of the samples would fail to meet release guidelines. Based on the findings of the side-by-side direct measurements, and after discussion with the NRC and ORAU, UM decided to use a more appropriate source efficiency in their direct measurement calculations and changed their source efficiency from 0.37 to 0.25.

  12. Overview of the Taxonomy of Environmental Types and the Factor Structure of the Salter Environmental Type Assessment.

    Science.gov (United States)

    Salter, Daniel W.; Vandiver, Beverly J.

    2002-01-01

    The Salter Environmental Type Assessment (SETA) was created to be a commensurate measure for the Myers-Briggs Type Indicator and to improve the efficacy of the person-environmental interaction paradigm to student affairs. A confirmatory factor analysis of SETA profiles supported the four dimensions in environmental type theory. The utility of this…

  13. Overview of the Taxonomy of Environmental Types and the Factor Structure of the Salter Environmental Type Assessment.

    Science.gov (United States)

    Salter, Daniel W.; Vandiver, Beverly J.

    2002-01-01

    The Salter Environmental Type Assessment (SETA) was created to be a commensurate measure for the Myers-Briggs Type Indicator and to improve the efficacy of the person-environmental interaction paradigm to student affairs. A confirmatory factor analysis of SETA profiles supported the four dimensions in environmental type theory. The utility of this…

  14. Factor Structure and Reliability of the Childhood Trauma Questionnaire and Prevalence Estimates of Trauma for Male and Female Street Youth

    Science.gov (United States)

    Forde, David R.; Baron, Stephen W.; Scher, Christine D.; Stein, Murray B.

    2012-01-01

    This study examines the psychometric properties of the Childhood Trauma Questionnaire short form (CTQ-SF) with street youth who have run away or been expelled from their homes (N = 397). Internal reliability coefficients for the five clinical scales ranged from 0.65 to 0.95. Confirmatory Factor Analysis (CFA) was used to test the five-factor…

  15. Technical Analysis of Scores on the "Self-Efficacy Self-Report Scale"

    Science.gov (United States)

    Erford, Bradley T.; Schein, Hallie; Duncan, Kelly

    2011-01-01

    The purpose of this study was to provide preliminary analysis of reliability and validity of scores on the "Self-Efficacy Self-Report Scale", which was designed to assess general self-efficacy in students aged 10 to 17 years. Confirmatory factor analysis on cross-validated samples was conducted revealing a marginal fit of the data to the…

  16. Scale Development Research: A Content Analysis and Recommendations for Best Practices

    Science.gov (United States)

    Worthington, Roger L.; Whittaker, Tiffany A.

    2006-01-01

    The authors conducted a content analysis on new scale development articles appearing in the "Journal of Counseling Psychology" during 10 years (1995 to 2004). The authors analyze and discuss characteristics of the exploratory and confirmatory factor analysis procedures in these scale development studies with respect to sample…

  17. Housing price forecastability: A factor analysis

    DEFF Research Database (Denmark)

    Bork, Lasse; Møller, Stig Vinther

    of the model stays high at longer horizons. The estimated factors are strongly statistically signi…cant according to a bootstrap resampling method which takes into account that the factors are estimated regressors. The simple three-factor model also contains substantial out-of-sample predictive power...

  18. A Second Generation Nonlinear Factor Analysis.

    Science.gov (United States)

    Etezadi-Amoli, Jamshid; McDonald, Roderick P.

    1983-01-01

    Nonlinear common factor models with polynomial regression functions, including interaction terms, are fitted by simultaneously estimating the factor loadings and common factor scores, using maximum likelihood and least squares methods. A Monte Carlo study gives support to a conjecture about the form of the distribution of the likelihood ratio…

  19. An Instrument to Measure Dental Students' Communication Skills With Patients in Six Specific Circumstances: An Exploratory Factor Analysis.

    Science.gov (United States)

    Aalboe, Joanna A; Schumacher, Mitzi M

    2016-01-01

    The aim of this study was to explore the internal structure of an instrument assessing dental students' confidence in their ability to communicate with patients in six specific circumstances (anxious, in pain, etc.) using exploratory factor analysis. In a Communication in the Dental Health Care Setting course at a U.S. dental school, second-year dental students in two years (2013 and 2014) responded to the six items on a survey instrument. Of the total 123 students, 122 fully completed the instrument, for a response rate of 99%. Analysis of the results identified a unidimensional scale with regards to patient-specific communication self-efficacy and explained 74% of the total variance. The scale had good internal consistency reflected by high Cronbach's alpha (α=0.929, 95% CI [0.907, 0.947]). These findings suggest the instrument may be a useful tool in assessing the development of patient communication skills in second-year dental students following a course in communication. Further exploration utilizing confirmatory analysis, determining predictive validity, and assessing convergent and discriminant evidence is warranted.

  20. Testing the factor structure of the beliefs about language learning inventory.

    Science.gov (United States)

    Hsiao, Tsung-Yuan; Chiang, Steve

    2010-12-01

    This preliminary study examined the factor structure of the Beliefs About Language Learning Inventory in two samples of about 750 college students of English as a foreign language in Taiwan. Results of confirmatory factor analysis lend partial support to Horwitz's theoretical five-factor belief model. Subsequent exploratory and confirmatory factor analyses of data show that a four-factor model represented by only 12 items performed better than other models both theoretically and empirically. This model consists of two dimensions already theorized in the inventory: Difficulty of Language Learning and Foreign Language Aptitude, and two newly interpreted dimensions, Importance of Spoken Language and Analytical Approaches to Language Learning. Although this four-factor model could be replicated in an independent sample, the factors are not reliable, suggesting the need to search for a more representative set of beliefs to tap specific aspects of language learning.

  1. A Cultural Analysis of Harmony and Conflict: Towards an Integrated ...

    African Journals Online (AJOL)

    Ike Odimegwu

    Social harmony is now a major national policy in China and in .... core component of communication competence in Chinese culture .... frameworks for a full understanding of the conflict behavior of ..... situation and cultural attitudes, people are motivated to resolve .... confirmatory factor analysis of these data showed that the.

  2. Psychometric Analysis of the Diagnostic Evaluation of Language Variation Assessment

    Science.gov (United States)

    Petscher, Yaacov; Connor, Carol McDonald; Al Otaiba, Stephanie

    2012-01-01

    This study investigated the psychometrics of the "Diagnostic Evaluation of Language Variation-Screening Test" (DELV-S) test using confirmatory factor analysis, item response theory, and differential item functioning (DIF). Responses from 1,764 students in kindergarten through second grade were used in the study, with results indicating…

  3. Disruptive Event Biosphere Doser Conversion Factor Analysis

    Energy Technology Data Exchange (ETDEWEB)

    M. Wasiolek

    2000-12-28

    The purpose of this report was to document the process leading to, and the results of, development of radionuclide-, exposure scenario-, and ash thickness-specific Biosphere Dose Conversion Factors (BDCFs) for the postulated postclosure extrusive igneous event (volcanic eruption) at Yucca Mountain. BDCF calculations were done for seventeen radionuclides. The selection of radionuclides included those that may be significant dose contributors during the compliance period of up to 10,000 years, as well as radionuclides of importance for up to 1 million years postclosure. The approach documented in this report takes into account human exposure during three different phases at the time of, and after, volcanic eruption. Calculations of disruptive event BDCFs used the GENII-S computer code in a series of probabilistic realizations to propagate the uncertainties of input parameters into the output. The pathway analysis included consideration of different exposure pathway's contribution to the BDCFs. BDCFs for volcanic eruption, when combined with the concentration of radioactivity deposited by eruption on the soil surface, allow calculation of potential radiation doses to the receptor of interest. Calculation of radioactivity deposition is outside the scope of this report and so is the transport of contaminated ash from the volcano to the location of the receptor. The integration of the biosphere modeling results (BDCFs) with the outcomes of the other component models is accomplished in the Total System Performance Assessment (TSPA), in which doses are calculated to the receptor of interest from radionuclides postulated to be released to the environment from the potential repository at Yucca Mountain.

  4. Nominal Performance Biosphere Dose Conversion Factor Analysis

    Energy Technology Data Exchange (ETDEWEB)

    M. Wasiolek

    2000-12-21

    The purpose of this report was to document the process leading to development of the Biosphere Dose Conversion Factors (BDCFs) for the postclosure nominal performance of the potential repository at Yucca Mountain. BDCF calculations concerned twenty-four radionuclides. This selection included sixteen radionuclides that may be significant nominal performance dose contributors during the compliance period of up to 10,000 years, five additional radionuclides of importance for up to 1 million years postclosure, and three relatively short-lived radionuclides important for the human intrusion scenario. Consideration of radionuclide buildup in soil caused by previous irrigation with contaminated groundwater was taken into account in the BDCF development. The effect of climate evolution, from the current arid conditions to a wetter and cooler climate, on the BDCF values was evaluated. The analysis included consideration of different exposure pathway's contribution to the BDCFs. Calculations of nominal performance BDCFs used the GENII-S computer code in a series of probabilistic realizations to propagate the uncertainties of input parameters into the output. BDCFs for the nominal performance, when combined with the concentrations of radionuclides in groundwater allow calculation of potential radiation doses to the receptor of interest. Calculated estimates of radionuclide concentration in groundwater result from the saturated zone modeling. The integration of the biosphere modeling results (BDCFs) with the outcomes of the other component models is accomplished in the Total System Performance Assessment (TSPA) to calculate doses to the receptor of interest from radionuclides postulated to be released to the environment from the potential repository at Yucca Mountain.

  5. Distinguishing Dispositional and Cultivated Forms of Mindfulness: Item-Level Factor Analysis of Five-Facet Mindfulness Questionnaire and Construction of Short Inventory of Mindfulness Capability

    Science.gov (United States)

    Duan, Wenjie; Li, Jinxia

    2016-01-01

    The widely used Five-Facet Mindfulness Questionnaire (FFMQ) mixes the dispositional and cultivated forms of mindfulness, thereby resulting in factor issues in previous studies. The present study distinguished the two forms of mindfulness and developed a Short Inventory of Mindfulness Capability at the item level of FFMQ. Three facets of mindfulness, namely, Describing, Acting with Awareness, and Non-judging of Experience, were assessed using community (n = 433) and student (n = 347) samples. Both meditators and non-meditators participated. Exploratory and confirmatory factor analysis (CFA) revealed a three-factor model of mindfulness with 12 items (four items per subscale). Psychometric evaluation demonstrated the solid factor structure of the measurement with high factor loadings, good internal consistency, and convergent validities. Longitudinal analysis indicated that the Acting with Awareness facet was a significant predictor of depression and anxiety symptoms 6 months later. Discussions focused on the roles of mindfulness capability on mental health as well as the relationship between them. A higher-order factor of mindfulness should be used to examine the efficacy of intervention or monitor the changes. Researchers who need to study the specific role or efficacy of each facet should calculate the scores of different facets. PMID:27667978

  6. Distinguishing Dispositional and Cultivated Forms of Mindfulness: Item-level Factor Analysis of Five-Facet Mindfulness Questionnaire and Construction of Short Inventory of Mindfulness Capability

    Directory of Open Access Journals (Sweden)

    Wenjie Duan

    2016-09-01

    Full Text Available The widely used Five-Facet Mindfulness Questionnaire (FFMQ mixes the dispositional and cultivated forms of mindfulness, thereby resulting in factor issues in previous studies. The present study distinguished the two forms of mindfulness and developed a Short Inventory of Mindfulness Capability at the item level of FFMQ. Three facets of mindfulness, namely, Describing, Acting with Awareness, and Non-judging of Experience, were assessed using community (n = 433 and student (n = 347 samples. Both meditators and non-meditators participated. Exploratory and confirmatory factor analysis revealed a three-factor model of mindfulness with 12 items (four items per subscale. Psychometric evaluation demonstrated the solid factor structure of the measurement with high factor loadings, good internal consistency, and convergent validities. Longitudinal analysis indicated that the Acting with Awareness facet was a significant predictor of depression and anxiety symptoms six months later. Discussions focused on the roles of mindfulness capability on mental health as well as the relationship between them. A higher-order factor of mindfulness should be used to examine the efficacy of intervention or monitor the changes. Researchers who need to study the specific role or efficacy of each facet should calculate the scores of different facets.

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

    Directory of Open Access Journals (Sweden)

    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.

  8. 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.

  9. An Item Factor Analysis of the Mooney Problem Check List

    Science.gov (United States)

    Stewart, David W.; Deiker, Thomas

    1976-01-01

    Explores the factor structure of the Mooney Problem Check List (MPCL) at the junior and senior high school level by undertaking a large obverse factor analysis of item responses in three adolescent criterion groups. (Author/DEP)

  10. Full Information Item Factor Analysis of the FCI

    Science.gov (United States)

    Hagedorn, Eric

    2010-02-01

    Traditional factor analytical methods, principal factors or principal components analysis, are inappropriate techniques for analyzing dichotomously scored responses to standardized tests or concept inventories because they lead to artifactual factors often referred to as ``difficulty factors.'' Full information item factor analysis (Bock, Gibbons and Muraki, 1988) based on Thurstone's multiple factor model and calculated using marginal maximum likelihood estimation, is an appropriate technique for such analyses. Force Concept Inventory (Hestenes, Wells and Swackhamer, 1992) data from 1582 university students completing an introductory physics course, was analyzed using the full information item factor analysis software TESTFACT v. 4. Analyzing the statistical significance of successive factors added to the model, using chi-squared statistics, led to a six factor model interpretable in terms of the conceptual dimensions of the FCI. )

  11. Exploratory matrix factorization for PET image analysis.

    Science.gov (United States)

    Kodewitz, A; Keck, I R; Tomé, A M; Lang, E W

    2010-01-01

    Features are extracted from PET images employing exploratory matrix factorization techniques such as nonnegative matrix factorization (NMF). Appropriate features are fed into classifiers such as a support vector machine or a random forest tree classifier. An automatic feature extraction and classification is achieved with high classification rate which is robust and reliable and can help in an early diagnosis of Alzheimer's disease.

  12. Analysis of Factors Affecting the Quality of an E-commerce Website Using Factor Analysis

    Directory of Open Access Journals (Sweden)

    Saurabh Mishra

    2014-12-01

    Full Text Available The purpose of this study is to identify factors which affect the quality and effectiveness of an e commerce website which also majorly affect customer satisfaction and ultimately customer retention and loyalty. This research paper examines a set of 23 variables and integrates them into 4 factors which affect the quality of a website. An online questionnaire survey was conducted to generate statistics regarding the preferences of the e-commerce website users.The 23 variables taken from customer survey are generalized into 4 major factors using exploratory factor analysis which are content, navigation, services and interface design. The research majorly consists of the responses of students between the age group of 18-25 years and considers different B2C commercial websites. Identified variables are important with respect to the current competition in the market as service of an e-commerce website also play a major role in ensuring customer satisfaction. Further research in this domain can be done for websites’ version for mobile devices.

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

    OpenAIRE

    Steponas Jonušauskas; Agota Giedre Raisiene

    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...

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

    Energy Technology Data Exchange (ETDEWEB)

    Roscoe, B.A.; Hopke, Ph.K. (Illinois Univ., Urbana (USA))

    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.

  15. Effect Factors of Liquid Scintillation Analysis

    Institute of Scientific and Technical Information of China (English)

    2008-01-01

    <正>Over the past decades, the liquid scintillation analysis (LSA) technique remains one of the most popular experimental tools used for the quantitative analysis of radionuclide, especially low-energy β

  16. Sunlight exposure and cardiovascular risk factors in the REGARDS study: a cross-sectional split-sample analysis.

    Science.gov (United States)

    Kent, Shia T; Cushman, Mary; Howard, George; Judd, Suzanne E; Crosson, William L; Al-Hamdan, Mohammad Z; McClure, Leslie A

    2014-06-19

    Previous research has suggested that vitamin D and sunlight are related to cardiovascular outcomes, but associations between sunlight and risk factors have not been investigated. We examined whether increased sunlight exposure was related to improved cardiovascular risk factor status. Residential histories merged with satellite, ground monitor, and model reanalysis data were used to determine previous-year sunlight radiation exposure for 17,773 black and white participants aged 45+ from the US. Exploratory and confirmatory analyses were performed by randomly dividing the sample into halves. Logistic regression models were used to examine relationships with cardiovascular risk factors. The lowest, compared to the highest quartile of insolation exposure was associated with lower high-density lipoprotein levels in adjusted exploratory (-2.7 mg/dL [95% confidence interval: -4.2, -1.2]) and confirmatory (-1.5 mg/dL [95% confidence interval: -3.0, -0.1]) models. The lowest, compared to the highest quartile of insolation exposure was associated with higher systolic blood pressure levels in unadjusted exploratory and confirmatory, as well as the adjusted exploratory model (2.3 mmHg [95% confidence interval: 0.8, 3.8]), but not the adjusted confirmatory model (1.6 mg/dL [95% confidence interval: -0.5, 3.7]). The results of this study suggest that lower long-term sunlight exposure has an association with lower high-density lipoprotein levels. However, all associations were weak, thus it is not known if insolation may affect cardiovascular outcomes through these risk factors.

  17. Validating the student-teacher relationship scale: testing factor structure and measurement invariance across child gender and age in a Dutch sample

    NARCIS (Netherlands)

    Koomen, H.M.Y.; Verschueren, K.; van Schooten, E.; Jak, S.; Pianta, R.C.

    2012-01-01

    The Student-Teacher Relationship Scale (STRS) is widely used to examine teachers' relationships with young students in terms of closeness, conflict, and dependency. This study aimed to verify the dimensional structure of the STRS with confirmatory factor analysis, test its measurement invariance acr

  18. CT findings as confirmatory criteria of brain death

    Energy Technology Data Exchange (ETDEWEB)

    Shiogai, Toshiyuki; Takeuchi, Kazuo (Kyorin Univ., Mitaka, Tokyo (Japan). School of Medicine)

    1983-12-01

    The absence of cerebral circulation and electrocerebral silence have served as an accurate index of irreversible brain death. It is proposed that computed tomography (CT) findings be evaluated as confirmatory criteria of brain death. To this end, CT evaluation of 14 patients satisfying the conventional criteria of brain death was performed. A CT finding of severe compression or dissappearance of the ventricular system, or so called ''brain tamponade'', was seen in 7 (50 %) of the 14 patients. Enhanced contrast CT, especially dynamic CT, usually distinctly reveals the cerebral vessels whenever the cerebral blood flow is preserved; conversely, the lack of enhanced brain structures, even comparing attenuation values, indicates the absence of cerebral blood flow. In 7 (70 %) of 10 patients, however, there was enhanced contrast of vascular brain structures, especially the circle of Willis, major cerebral arteries, choroid plexuses, and venous sinuses. It is suggested that this result is due to the improvement of demonstrability by CT. The usefulness of CT in the confirmation of brain death lies in visualization of the pathological changes associated with a dead brain, such as ''brain tamponade'', and the lack of enhanced contrast indicating the absence of cerebral blood flow. The latter point is still problematic as angiography revealed an extremely low cerebral blood flow in a few cases of ''dead brain'' patients. It is recommended that cerebral blood flow in brain death be evaluated by dynamic CT scanning and correlated with other methods of cerebral blood flow determination (e.g., intravenous digital subtraction angiography).

  19. PTSD in ICD-10 and proposed ICD-11 in elderly with childhood trauma: prevalence, factor structure, and symptom profiles

    OpenAIRE

    Glück, Tobias M.; Knefel, Matthias; Tran, Ulrich S.; Lueger-Schuster, Brigitte

    2016-01-01

    Background: The proposal for ICD-11 postulates major changes for posttraumatic stress disorder (PTSD) diagnosis, which needs investigation in different samples.Aims: To investigate differences of PTSD prevalence and diagnostic agreement between ICD-10 and ICD-11, factor structure of proposed ICD-11 PTSD, and diagnostic value of PTSD symptom severity classes.Method: Confirmatory factor analysis and latent profile analysis were used on data of elderly survivors of childhood trauma (>60 years...

  20. FACTOR ANALYSIS OF THE ELKINS HYPNOTIZABILITY SCALE

    Science.gov (United States)

    Elkins, Gary; Johnson, Aimee K.; Johnson, Alisa J.; Sliwinski, Jim

    2015-01-01

    Assessment of hypnotizability can provide important information for hypnosis research and practice. The Elkins Hypnotizability Scale (EHS) consists of 12 items and was developed to provide a time-efficient measure for use in both clinical and laboratory settings. The EHS has been shown to be a reliable measure with support for convergent validity with the Stanford Hypnotic Susceptibility Scale, Form C (r = .821, p < .001). The current study examined the factor structure of the EHS, which was administered to 252 adults (51.3% male; 48.7% female). Average time of administration was 25.8 minutes. Four factors selected on the basis of the best theoretical fit accounted for 63.37% of the variance. The results of this study provide an initial factor structure for the EHS. PMID:25978085

  1. A factor analytic investigation of the Tripartite model of affect in a clinical sample of young Australians

    OpenAIRE

    Cosgrave Elizabeth M; Cotton Sue M; Buckby Joe A; Killackey Eoin J; Yung Alison R

    2008-01-01

    Abstract Background The Mood and Anxiety Symptom Questionnaire (MASQ) was designed to specifically measure the Tripartite model of affect and is proposed to offer a delineation between the core components of anxiety and depression. Factor analytic data from adult clinical samples has shown mixed results; however no studies employing confirmatory factor analysis (CFA) have supported the predicted structure of distinct Depression, Anxiety and General Distress factors. The Tripartite model has n...

  2. ANALYSIS OF EXTERNAL FACTORS AFFECTING THE PRICING

    Directory of Open Access Journals (Sweden)

    Irina A. Kiseleva

    2013-01-01

    Full Text Available The external factors influencing the process of formation of tariffs of commercial services are considered in the article. External environment is known to be very diverse and changeable. Currently, pricing has become one of the key processes of strategic development of a company. Pricing in the service sector, in turn, is highly susceptible to changes in the external environment. Its components directly or indirectly affect the market of services, changing it adopted economic processes. As a rule, firms providing services can’t influence the changes in external factors. However, the service market is very flexible, which enables businesses to reshape pricing strategy, to adapt it to the new environment.

  3. Factors Influencing Self-Regulation in E-Learning 2.0: Confirmatory Factor Model

    Science.gov (United States)

    Zhao, Hong

    2016-01-01

    The importance of self-regulation in e-learning has been well noted in research. Relevant studies have shown a consistent positive correlation between learners' self-regulation and their success rate in e-learning. Increasing attention has been paid to developing learners' self-regulated abilities in e-learning. For students, what and how to learn…

  4. 75 FR 4877 - In the Matter of Beta Gamma Nuclear Radiology; Confirmatory Order Modifying License (Effective...

    Science.gov (United States)

    2010-01-29

    ... Gamma Nuclear Radiology; Confirmatory Order Modifying License (Effective Immediately) I Beta Gamma Nuclear Radiology (BGNR) (Licensee) is the holder of medical License No. 52-25542-01, issued by the U.S...

  5. Final Report - Independent Confirmatory Survey Summary and Results for the Hematite Decommissioning Project

    Energy Technology Data Exchange (ETDEWEB)

    E.N. Bailey

    2009-03-18

    The objectives of the confirmatory surveys were to provide independent contractor field data reviews and to generate independent radiological data for use by the NRC in evaluating the adequacy and accuracy of the licensee’s procedures and survey results.

  6. Confirmatory Survey for the Partial Site Release at the ABB Inc. CE Winsor Site, Windsor, CT

    Energy Technology Data Exchange (ETDEWEB)

    W.C. Adams

    2008-06-27

    The objectives of the confirmatory surveys were to confirm that remedial actions had been effective in meeting established release criteria and that documentation accurately and adequately describes the final radiological conditions of the PSR Impacted Areas.

  7. 45 CFR Appendix A to Part 650 - Optional Format for Confirmatory License

    Science.gov (United States)

    2010-10-01

    ... FOUNDATION PATENTS Pt. 650, App. A Appendix A to Part 650—Optional Format for Confirmatory License The... title) (inventor name ) (patent application number and filing date) (country, if other than...

  8. Examining the factor structure of the Multiple Sclerosis Impact Scale.

    Science.gov (United States)

    Fitzgerald, Shawn M; Li, Jian; Rumrill, Phillip D; Merchant, William; Bishop, Malachy

    2014-01-01

    The purpose of this study was to investigate the factor structure of the Multiple Sclerosis Impact Scale (MSIS-29) to assess its suitability for modeling the impact of MS on a nation-wide sample of individuals from the United States. Investigators completed a Confirmatory Factor Analysis (CFA) to examine the two-factor structure proposed by Hobart et al. [17]. Although the original MSIS-29 factor structure did not fit the data exactly, the hypothesized two-factor model was partially supported in the current data. Implications for future instrument development and rehabilitation practice are discussed.

  9. Factor Analysis for Spectral Reconnaissance and Situational Understanding

    Science.gov (United States)

    2016-07-11

    reviewed journals: Final Report: Factor Analysis for Spectral Reconnaissance and Situational Understanding Report Title The Army has a critical need for...based NP-hard design problems, by associating them with corresponding estimation problems. 1 Factor Analysis for Spectral Reconnaissance and Situational ...SECURITY CLASSIFICATION OF: The Army has a critical need for enhancing situational understanding for dismounted soldiers and rapidly deployed tactical

  10. 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…

  11. Subgroup analyses in confirmatory clinical trials: time to be specific about their purposes

    Directory of Open Access Journals (Sweden)

    Julien Tanniou

    2016-02-01

    Full Text Available Abstract Background It is well recognized that treatment effects may not be homogeneous across the study population. Subgroup analyses constitute a fundamental step in the assessment of evidence from confirmatory (Phase III clinical trials, where conclusions for the overall study population might not hold. Subgroup analyses can have different and distinct purposes, requiring specific design and analysis solutions. It is relevant to evaluate methodological developments in subgroup analyses against these purposes to guide health care professionals and regulators as well as to identify gaps in current methodology. Methods We defined four purposes for subgroup analyses: (1 Investigate the consistency of treatment effects across subgroups of clinical importance, (2 Explore the treatment effect across different subgroups within an overall non-significant trial, (3 Evaluate safety profiles limited to one or a few subgroup(s, (4 Establish efficacy in the targeted subgroup when included in a confirmatory testing strategy of a single trial. We reviewed the methodology in line with this “purpose-based” framework. The review covered papers published between January 2005 and April 2015 and aimed to classify them in none, one or more of the aforementioned purposes. Results In total 1857 potentially eligible papers were identified. Forty-eight papers were selected and 20 additional relevant papers were identified from their references, leading to 68 papers in total. Nineteen were dedicated to purpose 1, 16 to purpose 4, one to purpose 2 and none to purpose 3. Seven papers were dedicated to more than one purpose, the 25 remaining could not be classified unambiguously. Purposes of the methods were often not specifically indicated, methods for subgroup analysis for safety purposes were almost absent and a multitude of diverse methods were developed for purpose (1. Conclusions It is important that researchers developing methodology for subgroup analysis

  12. Exploratory Factor Analysis of African Self-Consciousness Scale Scores

    Science.gov (United States)

    Bhagwat, Ranjit; Kelly, Shalonda; Lambert, Michael C.

    2012-01-01

    This study replicates and extends prior studies of the dimensionality, convergent, and external validity of African Self-Consciousness Scale scores with appropriate exploratory factor analysis methods and a large gender balanced sample (N = 348). Viable one- and two-factor solutions were cross-validated. Both first factors overlapped significantly…

  13. Factor Analysis of People Rather than Variables: Q and Other Two-Mode Factor Analytic Models.

    Science.gov (United States)

    Frederick, Brigitte N.

    Factor analysis attempts to study how different objects group together to form factors with the purposes of: (1) reducing the number of factorable entities (e.g., variables) with which the researcher needs to deal; (2) searching data for qualitative and quantitative differences; and (3) testing hypotheses (R. Gorsuch, 1983). While most factor…

  14. Chiral analysis of baryon form factors

    Energy Technology Data Exchange (ETDEWEB)

    Gail, T.A.

    2007-11-08

    This work presents an extensive theoretical investigation of the structure of the nucleon within the standard model of elementary particle physics. In particular, the long range contributions to a number of various form factors parametrizing the interactions of the nucleon with an electromagnetic probe are calculated. The theoretical framework for those calculations is chiral perturbation theory, the exact low energy limit of Quantum Chromo Dynamics, which describes such long range contributions in terms of a pion-cloud. In this theory, a nonrelativistic leading one loop order calculation of the form factors parametrizing the vector transition of a nucleon to its lowest lying resonance, the {delta}, a covariant calculation of the isovector and isoscalar vector form factors of the nucleon at next to leading one loop order and a covariant calculation of the isoscalar and isovector generalized vector form factors of the nucleon at leading one loop order are performed. In order to perform consistent loop calculations in the covariant formulation of chiral perturbation theory an appropriate renormalization scheme is defined in this work. All theoretical predictions are compared to phenomenology and results from lattice QCD simulations. These comparisons allow for a determination of the low energy constants of the theory. Furthermore, the possibility of chiral extrapolation, i.e. the extrapolation of lattice data from simulations at large pion masses down to the small physical pion mass is studied in detail. Statistical as well as systematic uncertainties are estimated for all results throughout this work. (orig.)

  15. Factors associated with learning management in Mexican micro-entrepreneurs

    Directory of Open Access Journals (Sweden)

    Alejandro Mungaray Lagarda

    2016-10-01

    Full Text Available The learning capacity of social based Mexican micro-entrepreneurs to generate new knowledge and incorporate it to its products and services is evaluated. The above is done through a confirmatory factor analysis and structural linear equation system, and the presence of static and dynamic dimensions in learning capacity, which are represented by individual stocks and flows of knowledge. The positive relationship between them demonstrates the presence of learning processes that impact positively their economic performance.

  16. Factors associated with learning management in Mexican micro-entrepreneurs

    OpenAIRE

    Alejandro Mungaray Lagarda; Duniesky Feitó Madrigal; Michelle Texis Flores

    2016-01-01

    The learning capacity of social based Mexican micro-entrepreneurs to generate new knowledge and incorporate it to its products and services is evaluated. The above is done through a confirmatory factor analysis and structural linear equation system, and the presence of static and dynamic dimensions in learning capacity, which are represented by individual stocks and flows of knowledge. The positive relationship between them demonstrates the presence of learning processes that impact positivel...

  17. Bayesian Constrained-Model Selection for Factor Analytic Modeling

    OpenAIRE

    Peeters, Carel F.W.

    2016-01-01

    My dissertation revolves around Bayesian approaches towards constrained statistical inference in the factor analysis (FA) model. Two interconnected types of restricted-model selection are considered. These types have a natural connection to selection problems in the exploratory FA (EFA) and confirmatory FA (CFA) model and are termed Type I and Type II model selection. Type I constrained-model selection is taken to mean the determination of the appropriate dimensionality of a model. This type ...

  18. Analytic standard errors for exploratory process factor analysis.

    Science.gov (United States)

    Zhang, Guangjian; Browne, Michael W; Ong, Anthony D; Chow, Sy Miin

    2014-07-01

    Exploratory process factor analysis (EPFA) is a data-driven latent variable model for multivariate time series. This article presents analytic standard errors for EPFA. Unlike standard errors for exploratory factor analysis with independent data, the analytic standard errors for EPFA take into account the time dependency in time series data. In addition, factor rotation is treated as the imposition of equality constraints on model parameters. Properties of the analytic standard errors are demonstrated using empirical and simulated data.

  19. Analysis of Interaction Factors Between Two Piles

    Institute of Scientific and Technical Information of China (English)

    CAO Ming; CHEN Long-zhu

    2008-01-01

    A rigorous analytical method is presented for calculating the interaction factor between two identical piles subjected to vertical loads. Following the technique proposed by Muki and Sternberg, the problem is decomposed into an extended soil mass and two fictitious piles characterized respectively by Young's modulus of the soil and that of the difference between the pile and soil. The unknown axial forces along fictitious piles are determined by solving a Fredholm integral equation of the second kind, which imposes the compatibility condition that the axial strains of the fictitious piles are equal to those corresponding to the centroidal axes of the extended soil. The real pile forces and displacements can subequally be calculated based on the determined fictitious pile forces, and finally, the desired pile interaction factors may be obtained. Results confirm the validity of the proposed approach and portray the influence of the governing parameters on the pile interaction.

  20. Analysis of factors affecting fattening of chickens

    OpenAIRE

    OBERMAJEROVÁ, Barbora

    2013-01-01

    Poultry meat belongs to the basic assortment of human nutrition. The meat of an intensively fattened poultry is a source of easily digestible proteins, lipids, mineral substances and vitamins. The aim of this bachelor´s thesis was to write out a literature review, which is focused on the intensity of growth, carcass yield, quality and composition of broiler chickens meat. The following describes the internal and external factors that affect them, i.e. genetic foundation, hybrid combination, s...