Sibling Competition & Growth Tradeoffs. Biological vs. Statistical Significance.

Science.gov (United States)

Kramer, Karen L; Veile, Amanda; Otárola-Castillo, Erik

2016-01-01

Early childhood growth has many downstream effects on future health and reproduction and is an important measure of offspring quality. While a tradeoff between family size and child growth outcomes is theoretically predicted in high-fertility societies, empirical evidence is mixed. This is often attributed to phenotypic variation in parental condition. However, inconsistent study results may also arise because family size confounds the potentially differential effects that older and younger siblings can have on young children's growth. Additionally, inconsistent results might reflect that the biological significance associated with different growth trajectories is poorly understood. This paper addresses these concerns by tracking children's monthly gains in height and weight from weaning to age five in a high fertility Maya community. We predict that: 1) as an aggregate measure family size will not have a major impact on child growth during the post weaning period; 2) competition from young siblings will negatively impact child growth during the post weaning period; 3) however because of their economic value, older siblings will have a negligible effect on young children's growth. Accounting for parental condition, we use linear mixed models to evaluate the effects that family size, younger and older siblings have on children's growth. Congruent with our expectations, it is younger siblings who have the most detrimental effect on children's growth. While we find statistical evidence of a quantity/quality tradeoff effect, the biological significance of these results is negligible in early childhood. Our findings help to resolve why quantity/quality studies have had inconsistent results by showing that sibling competition varies with sibling age composition, not just family size, and that biological significance is distinct from statistical significance.

Sibling Competition & Growth Tradeoffs. Biological vs. Statistical Significance.

Directory of Open Access Journals (Sweden)

Karen L Kramer

Full Text Available Early childhood growth has many downstream effects on future health and reproduction and is an important measure of offspring quality. While a tradeoff between family size and child growth outcomes is theoretically predicted in high-fertility societies, empirical evidence is mixed. This is often attributed to phenotypic variation in parental condition. However, inconsistent study results may also arise because family size confounds the potentially differential effects that older and younger siblings can have on young children's growth. Additionally, inconsistent results might reflect that the biological significance associated with different growth trajectories is poorly understood. This paper addresses these concerns by tracking children's monthly gains in height and weight from weaning to age five in a high fertility Maya community. We predict that: 1 as an aggregate measure family size will not have a major impact on child growth during the post weaning period; 2 competition from young siblings will negatively impact child growth during the post weaning period; 3 however because of their economic value, older siblings will have a negligible effect on young children's growth. Accounting for parental condition, we use linear mixed models to evaluate the effects that family size, younger and older siblings have on children's growth. Congruent with our expectations, it is younger siblings who have the most detrimental effect on children's growth. While we find statistical evidence of a quantity/quality tradeoff effect, the biological significance of these results is negligible in early childhood. Our findings help to resolve why quantity/quality studies have had inconsistent results by showing that sibling competition varies with sibling age composition, not just family size, and that biological significance is distinct from statistical significance.

Increasing the statistical significance of entanglement detection in experiments

Energy Technology Data Exchange (ETDEWEB)

Jungnitsch, Bastian; Niekamp, Soenke; Kleinmann, Matthias; Guehne, Otfried [Institut fuer Quantenoptik und Quanteninformation, Innsbruck (Austria); Lu, He; Gao, Wei-Bo; Chen, Zeng-Bing [Hefei National Laboratory for Physical Sciences at Microscale and Department of Modern Physics, University of Science and Technology of China, Hefei (China); Chen, Yu-Ao; Pan, Jian-Wei [Hefei National Laboratory for Physical Sciences at Microscale and Department of Modern Physics, University of Science and Technology of China, Hefei (China); Physikalisches Institut, Universitaet Heidelberg (Germany)

2010-07-01

Entanglement is often verified by a violation of an inequality like a Bell inequality or an entanglement witness. Considerable effort has been devoted to the optimization of such inequalities in order to obtain a high violation. We demonstrate theoretically and experimentally that such an optimization does not necessarily lead to a better entanglement test, if the statistical error is taken into account. Theoretically, we show for different error models that reducing the violation of an inequality can improve the significance. We show this to be the case for an error model in which the variance of an observable is interpreted as its error and for the standard error model in photonic experiments. Specifically, we demonstrate that the Mermin inequality yields a Bell test which is statistically more significant than the Ardehali inequality in the case of a photonic four-qubit state that is close to a GHZ state. Experimentally, we observe this phenomenon in a four-photon experiment, testing the above inequalities for different levels of noise.

Evaluating correlation between geometrical relationship and dose difference caused by respiratory motion using statistical analysis

Energy Technology Data Exchange (ETDEWEB)

Shin, Dong Seok; Kim, Dong Su; Kim, Tae Ho; Kim, Kyeong Hyeon; Yoon, Do Kun; Suh, Tae Suk [The Catholic University of Korea, Seoul (Korea, Republic of); Kang, Seong Hee [Seoul National University Hospital, Seoul (Korea, Republic of); Cho, Min Seok [Asan Medical Center, Seoul (Korea, Republic of); Noh, Yu Yoon [Eulji University Hospital, Daejeon (Korea, Republic of)

2017-04-15

Three-dimensional dose (3D dose) can consider coverage of moving target, however it is difficult to provide dosimetric effect which occurs by respiratory motions. Four-dimensional dose (4D dose) which uses deformable image registration (DIR) algorithm from four-dimensional computed tomography (4DCT) images can consider dosimetric effect by respiratory motions. The dose difference between 3D dose and 4D dose can be varied according to the geometrical relationship between a planning target volume (PTV) and an organ at risk (OAR). The purpose of this study is to evaluate the correlation between the overlap volume histogram (OVH), which quantitatively shows the geometrical relationship between the PTV and OAR, and the dose differences. In conclusion, no significant statistical correlation was found between the OVH and dose differences. However, it was confirmed that a higher difference between the 3D and 4D doses could occur in cases that have smaller OVH value. No significant statistical correlation was found between the OVH and dose differences. However, it was confirmed that a higher difference between the 3D and 4D doses could occur in cases that have smaller OVH value.

Reporting effect sizes as a supplement to statistical significance ...

African Journals Online (AJOL)

The purpose of the article is to review the statistical significance reporting practices in reading instruction studies and to provide guidelines for when to calculate and report effect sizes in educational research. A review of six readily accessible (online) and accredited journals publishing research on reading instruction ...

Your Chi-Square Test Is Statistically Significant: Now What?

Science.gov (United States)

Sharpe, Donald

2015-01-01

Applied researchers have employed chi-square tests for more than one hundred years. This paper addresses the question of how one should follow a statistically significant chi-square test result in order to determine the source of that result. Four approaches were evaluated: calculating residuals, comparing cells, ransacking, and partitioning. Data…

Confidence intervals permit, but don't guarantee, better inference than statistical significance testing

Directory of Open Access Journals (Sweden)

Melissa Coulson

2010-07-01

Full Text Available A statistically significant result, and a non-significant result may differ little, although significance status may tempt an interpretation of difference. Two studies are reported that compared interpretation of such results presented using null hypothesis significance testing (NHST, or confidence intervals (CIs. Authors of articles published in psychology, behavioural neuroscience, and medical journals were asked, via email, to interpret two fictitious studies that found similar results, one statistically significant, and the other non-significant. Responses from 330 authors varied greatly, but interpretation was generally poor, whether results were presented as CIs or using NHST. However, when interpreting CIs respondents who mentioned NHST were 60% likely to conclude, unjustifiably, the two results conflicted, whereas those who interpreted CIs without reference to NHST were 95% likely to conclude, justifiably, the two results were consistent. Findings were generally similar for all three disciplines. An email survey of academic psychologists confirmed that CIs elicit better interpretations if NHST is not invoked. Improved statistical inference can result from encouragement of meta-analytic thinking and use of CIs but, for full benefit, such highly desirable statistical reform requires also that researchers interpret CIs without recourse to NHST.

Worry, Intolerance of Uncertainty, and Statistics Anxiety

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Williams, Amanda S.

2013-01-01

Statistics anxiety is a problem for most graduate students. This study investigates the relationship between intolerance of uncertainty, worry, and statistics anxiety. Intolerance of uncertainty was significantly related to worry, and worry was significantly related to three types of statistics anxiety. Six types of statistics anxiety were…

Statistical relationship between the succeeding solar flares detected by the RHESSI satellite

Science.gov (United States)

Balázs, L. G.; Gyenge, N.; Korsós, M. B.; Baranyi, T.; Forgács-Dajka, E.; Ballai, I.

2014-06-01

The Reuven Ramaty High Energy Solar Spectroscopic Imager has observed more than 80 000 solar energetic events since its launch on 2002 February 12. Using this large sample of observed flares, we studied the spatiotemporal relationship between succeeding flares. Our results show that the statistical relationship between the temporal and spatial differences of succeeding flares can be described as a power law of the form R(t) ˜ tp with p = 0.327 ± 0.007. We discuss the possible interpretations of this result as a characteristic function of a supposed underlying physics. Different scenarios are considered to explain this relation, including the case where the connectivity between succeeding events is realized through a shock wave in the post Sedov-Taylor phase or where the spatial and temporal relationship between flares is supposed to be provided by an expanding flare area in the sub-diffusive regime. Furthermore, we cannot exclude the possibility that the physical process behind the statistical relationship is the reordering of the magnetic field by the flare or it is due to some unknown processes.

Testing statistical significance scores of sequence comparison methods with structure similarity

Directory of Open Access Journals (Sweden)

Leunissen Jack AM

2006-10-01

Full Text Available Abstract Background In the past years the Smith-Waterman sequence comparison algorithm has gained popularity due to improved implementations and rapidly increasing computing power. However, the quality and sensitivity of a database search is not only determined by the algorithm but also by the statistical significance testing for an alignment. The e-value is the most commonly used statistical validation method for sequence database searching. The CluSTr database and the Protein World database have been created using an alternative statistical significance test: a Z-score based on Monte-Carlo statistics. Several papers have described the superiority of the Z-score as compared to the e-value, using simulated data. We were interested if this could be validated when applied to existing, evolutionary related protein sequences. Results All experiments are performed on the ASTRAL SCOP database. The Smith-Waterman sequence comparison algorithm with both e-value and Z-score statistics is evaluated, using ROC, CVE and AP measures. The BLAST and FASTA algorithms are used as reference. We find that two out of three Smith-Waterman implementations with e-value are better at predicting structural similarities between proteins than the Smith-Waterman implementation with Z-score. SSEARCH especially has very high scores. Conclusion The compute intensive Z-score does not have a clear advantage over the e-value. The Smith-Waterman implementations give generally better results than their heuristic counterparts. We recommend using the SSEARCH algorithm combined with e-values for pairwise sequence comparisons.

Statistical significance versus clinical relevance.

Science.gov (United States)

van Rijn, Marieke H C; Bech, Anneke; Bouyer, Jean; van den Brand, Jan A J G

2017-04-01

In March this year, the American Statistical Association (ASA) posted a statement on the correct use of P-values, in response to a growing concern that the P-value is commonly misused and misinterpreted. We aim to translate these warnings given by the ASA into a language more easily understood by clinicians and researchers without a deep background in statistics. Moreover, we intend to illustrate the limitations of P-values, even when used and interpreted correctly, and bring more attention to the clinical relevance of study findings using two recently reported studies as examples. We argue that P-values are often misinterpreted. A common mistake is saying that P < 0.05 means that the null hypothesis is false, and P ≥0.05 means that the null hypothesis is true. The correct interpretation of a P-value of 0.05 is that if the null hypothesis were indeed true, a similar or more extreme result would occur 5% of the times upon repeating the study in a similar sample. In other words, the P-value informs about the likelihood of the data given the null hypothesis and not the other way around. A possible alternative related to the P-value is the confidence interval (CI). It provides more information on the magnitude of an effect and the imprecision with which that effect was estimated. However, there is no magic bullet to replace P-values and stop erroneous interpretation of scientific results. Scientists and readers alike should make themselves familiar with the correct, nuanced interpretation of statistical tests, P-values and CIs. © The Author 2017. Published by Oxford University Press on behalf of ERA-EDTA. All rights reserved.

Statistical significance of epidemiological data. Seminar: Evaluation of epidemiological studies

International Nuclear Information System (INIS)

Weber, K.H.

1993-01-01

In stochastic damages, the numbers of events, e.g. the persons who are affected by or have died of cancer, and thus the relative frequencies (incidence or mortality) are binomially distributed random variables. Their statistical fluctuations can be characterized by confidence intervals. For epidemiologic questions, especially for the analysis of stochastic damages in the low dose range, the following issues are interesting: - Is a sample (a group of persons) with a definite observed damage frequency part of the whole population? - Is an observed frequency difference between two groups of persons random or statistically significant? - Is an observed increase or decrease of the frequencies with increasing dose random or statistically significant and how large is the regression coefficient (= risk coefficient) in this case? These problems can be solved by sttistical tests. So-called distribution-free tests and tests which are not bound to the supposition of normal distribution are of particular interest, such as: - χ 2 -independence test (test in contingency tables); - Fisher-Yates-test; - trend test according to Cochran; - rank correlation test given by Spearman. These tests are explained in terms of selected epidemiologic data, e.g. of leukaemia clusters, of the cancer mortality of the Japanese A-bomb survivors especially in the low dose range as well as on the sample of the cancer mortality in the high background area in Yangjiang (China). (orig.) [de

Relationship between Students' Scores on Research Methods and Statistics, and Undergraduate Project Scores

Science.gov (United States)

Ossai, Peter Agbadobi Uloku

2016-01-01

This study examined the relationship between students' scores on Research Methods and statistics, and undergraduate project at the final year. The purpose was to find out whether students matched knowledge of research with project-writing skill. The study adopted an expost facto correlational design. Scores on Research Methods and Statistics for…

Changing relationships with significant others: Reflections of ...

African Journals Online (AJOL)

Symbolic interactionism provides the framework for analysing the building of relationships between elite athletes and their significant others. In-depth interviews were conducted with elite throwers and decathlon athletes. The sample included current (n=15) and retired (n=5) student-athletes, parents (n=5), coaches (n=2) ...

Statistical Significance and Effect Size: Two Sides of a Coin.

Science.gov (United States)

Fan, Xitao

This paper suggests that statistical significance testing and effect size are two sides of the same coin; they complement each other, but do not substitute for one another. Good research practice requires that both should be taken into consideration to make sound quantitative decisions. A Monte Carlo simulation experiment was conducted, and a…

Publication of statistically significant research findings in prosthodontics & implant dentistry in the context of other dental specialties.

Science.gov (United States)

Papageorgiou, Spyridon N; Kloukos, Dimitrios; Petridis, Haralampos; Pandis, Nikolaos

2015-10-01

To assess the hypothesis that there is excessive reporting of statistically significant studies published in prosthodontic and implantology journals, which could indicate selective publication. The last 30 issues of 9 journals in prosthodontics and implant dentistry were hand-searched for articles with statistical analyses. The percentages of significant and non-significant results were tabulated by parameter of interest. Univariable/multivariable logistic regression analyses were applied to identify possible predictors of reporting statistically significance findings. The results of this study were compared with similar studies in dentistry with random-effects meta-analyses. From the 2323 included studies 71% of them reported statistically significant results, with the significant results ranging from 47% to 86%. Multivariable modeling identified that geographical area and involvement of statistician were predictors of statistically significant results. Compared to interventional studies, the odds that in vitro and observational studies would report statistically significant results was increased by 1.20 times (OR: 2.20, 95% CI: 1.66-2.92) and 0.35 times (OR: 1.35, 95% CI: 1.05-1.73), respectively. The probability of statistically significant results from randomized controlled trials was significantly lower compared to various study designs (difference: 30%, 95% CI: 11-49%). Likewise the probability of statistically significant results in prosthodontics and implant dentistry was lower compared to other dental specialties, but this result did not reach statistical significant (P>0.05). The majority of studies identified in the fields of prosthodontics and implant dentistry presented statistically significant results. The same trend existed in publications of other specialties in dentistry. Copyright © 2015 Elsevier Ltd. All rights reserved.

Significant Statistics: Viewed with a Contextual Lens

Science.gov (United States)

Tait-McCutcheon, Sandi

2010-01-01

This paper examines the pedagogical and organisational changes three lead teachers made to their statistics teaching and learning programs. The lead teachers posed the research question: What would the effect of contextually integrating statistical investigations and literacies into other curriculum areas be on student achievement? By finding the…

"What If" Analyses: Ways to Interpret Statistical Significance Test Results Using EXCEL or "R"

Science.gov (United States)

Ozturk, Elif

2012-01-01

The present paper aims to review two motivations to conduct "what if" analyses using Excel and "R" to understand the statistical significance tests through the sample size context. "What if" analyses can be used to teach students what statistical significance tests really do and in applied research either prospectively to estimate what sample size…

Statistical vs. Economic Significance in Economics and Econometrics: Further comments on McCloskey & Ziliak

DEFF Research Database (Denmark)

Engsted, Tom

I comment on the controversy between McCloskey & Ziliak and Hoover & Siegler on statistical versus economic significance, in the March 2008 issue of the Journal of Economic Methodology. I argue that while McCloskey & Ziliak are right in emphasizing 'real error', i.e. non-sampling error that cannot...... be eliminated through specification testing, they fail to acknowledge those areas in economics, e.g. rational expectations macroeconomics and asset pricing, where researchers clearly distinguish between statistical and economic significance and where statistical testing plays a relatively minor role in model...

Distinguishing between statistical significance and practical/clinical meaningfulness using statistical inference.

Science.gov (United States)

Wilkinson, Michael

2014-03-01

Decisions about support for predictions of theories in light of data are made using statistical inference. The dominant approach in sport and exercise science is the Neyman-Pearson (N-P) significance-testing approach. When applied correctly it provides a reliable procedure for making dichotomous decisions for accepting or rejecting zero-effect null hypotheses with known and controlled long-run error rates. Type I and type II error rates must be specified in advance and the latter controlled by conducting an a priori sample size calculation. The N-P approach does not provide the probability of hypotheses or indicate the strength of support for hypotheses in light of data, yet many scientists believe it does. Outcomes of analyses allow conclusions only about the existence of non-zero effects, and provide no information about the likely size of true effects or their practical/clinical value. Bayesian inference can show how much support data provide for different hypotheses, and how personal convictions should be altered in light of data, but the approach is complicated by formulating probability distributions about prior subjective estimates of population effects. A pragmatic solution is magnitude-based inference, which allows scientists to estimate the true magnitude of population effects and how likely they are to exceed an effect magnitude of practical/clinical importance, thereby integrating elements of subjective Bayesian-style thinking. While this approach is gaining acceptance, progress might be hastened if scientists appreciate the shortcomings of traditional N-P null hypothesis significance testing.

Codon Deviation Coefficient: a novel measure for estimating codon usage bias and its statistical significance

Directory of Open Access Journals (Sweden)

Zhang Zhang

2012-03-01

Full Text Available Abstract Background Genetic mutation, selective pressure for translational efficiency and accuracy, level of gene expression, and protein function through natural selection are all believed to lead to codon usage bias (CUB. Therefore, informative measurement of CUB is of fundamental importance to making inferences regarding gene function and genome evolution. However, extant measures of CUB have not fully accounted for the quantitative effect of background nucleotide composition and have not statistically evaluated the significance of CUB in sequence analysis. Results Here we propose a novel measure--Codon Deviation Coefficient (CDC--that provides an informative measurement of CUB and its statistical significance without requiring any prior knowledge. Unlike previous measures, CDC estimates CUB by accounting for background nucleotide compositions tailored to codon positions and adopts the bootstrapping to assess the statistical significance of CUB for any given sequence. We evaluate CDC by examining its effectiveness on simulated sequences and empirical data and show that CDC outperforms extant measures by achieving a more informative estimation of CUB and its statistical significance. Conclusions As validated by both simulated and empirical data, CDC provides a highly informative quantification of CUB and its statistical significance, useful for determining comparative magnitudes and patterns of biased codon usage for genes or genomes with diverse sequence compositions.

Statistics Refresher for Molecular Imaging Technologists, Part 2: Accuracy of Interpretation, Significance, and Variance.

Science.gov (United States)

Farrell, Mary Beth

2018-06-01

This article is the second part of a continuing education series reviewing basic statistics that nuclear medicine and molecular imaging technologists should understand. In this article, the statistics for evaluating interpretation accuracy, significance, and variance are discussed. Throughout the article, actual statistics are pulled from the published literature. We begin by explaining 2 methods for quantifying interpretive accuracy: interreader and intrareader reliability. Agreement among readers can be expressed simply as a percentage. However, the Cohen κ-statistic is a more robust measure of agreement that accounts for chance. The higher the κ-statistic is, the higher is the agreement between readers. When 3 or more readers are being compared, the Fleiss κ-statistic is used. Significance testing determines whether the difference between 2 conditions or interventions is meaningful. Statistical significance is usually expressed using a number called a probability ( P ) value. Calculation of P value is beyond the scope of this review. However, knowing how to interpret P values is important for understanding the scientific literature. Generally, a P value of less than 0.05 is considered significant and indicates that the results of the experiment are due to more than just chance. Variance, standard deviation (SD), confidence interval, and standard error (SE) explain the dispersion of data around a mean of a sample drawn from a population. SD is commonly reported in the literature. A small SD indicates that there is not much variation in the sample data. Many biologic measurements fall into what is referred to as a normal distribution taking the shape of a bell curve. In a normal distribution, 68% of the data will fall within 1 SD, 95% will fall within 2 SDs, and 99.7% will fall within 3 SDs. Confidence interval defines the range of possible values within which the population parameter is likely to lie and gives an idea of the precision of the statistic being

Improvements of ENSO-monsoon relationship in CMIP5 models through statistical downscaling over India.

Science.gov (United States)

Akhter, J.; Das, L.; Deb, A.

2017-12-01

Present study has assessed the skills of global climate models (GCMS) from coupled model inter-comparison project phase five (CMIP5) in simulating ENSO-monsoon relationships over seven homogeneous zones of India. Observational sea surface temperature (SST) data has revealed that there has been a significant negative correlation between zonal precipitation and Nino 3.4 index over North Mountainous India, North West India, North Central India, West Peninsular India and South Peninsular India. First and third principal component (PC) of zonal precipitation explaining 44.4% and 14.2% variance respectively has also shown significant anti-correlation with Nino 3.4. Analysis with CMIP5 models revealed that majority of GCMs have failed to reproduce both magnitude and phase of such relationships mainly due to poor simulation of Nino 3.4 index. Therefore, an attempt has been made to improve the results through empirical orthogonal function (EOF) based statistical downscaling of CMIP5 GCMs. To downscale Nino 3.4 index, an optimal predictor combination of PCs extracted from EOF fields of large scale GCM predictors like Geo-potential height, u and v wind, Specific and relative humidity and air temperature at pressure levels 500, 850 and 1000 hpa, mean sea level pressure and atmospheric vapor content has been utilized. Results indicated improvements of downscaled CMIP5 models in simulating ENSO-monsoon relationship for zone wise precipitation. Multi-model ensemble (MME) of downscaled GCMs has better skill than individuals GCM. Therefore, downscaled MME may be used more reliably to investigate future ENSO-monsoon relationship under various warming scenarios

Systematic reviews of anesthesiologic interventions reported as statistically significant

DEFF Research Database (Denmark)

Imberger, Georgina; Gluud, Christian; Boylan, John

2015-01-01

statistically significant meta-analyses of anesthesiologic interventions, we used TSA to estimate power and imprecision in the context of sparse data and repeated updates. METHODS: We conducted a search to identify all systematic reviews with meta-analyses that investigated an intervention that may......: From 11,870 titles, we found 682 systematic reviews that investigated anesthesiologic interventions. In the 50 sampled meta-analyses, the median number of trials included was 8 (interquartile range [IQR], 5-14), the median number of participants was 964 (IQR, 523-1736), and the median number...

Using the Bootstrap Method for a Statistical Significance Test of Differences between Summary Histograms

Science.gov (United States)

Xu, Kuan-Man

2006-01-01

A new method is proposed to compare statistical differences between summary histograms, which are the histograms summed over a large ensemble of individual histograms. It consists of choosing a distance statistic for measuring the difference between summary histograms and using a bootstrap procedure to calculate the statistical significance level. Bootstrapping is an approach to statistical inference that makes few assumptions about the underlying probability distribution that describes the data. Three distance statistics are compared in this study. They are the Euclidean distance, the Jeffries-Matusita distance and the Kuiper distance. The data used in testing the bootstrap method are satellite measurements of cloud systems called cloud objects. Each cloud object is defined as a contiguous region/patch composed of individual footprints or fields of view. A histogram of measured values over footprints is generated for each parameter of each cloud object and then summary histograms are accumulated over all individual histograms in a given cloud-object size category. The results of statistical hypothesis tests using all three distances as test statistics are generally similar, indicating the validity of the proposed method. The Euclidean distance is determined to be most suitable after comparing the statistical tests of several parameters with distinct probability distributions among three cloud-object size categories. Impacts on the statistical significance levels resulting from differences in the total lengths of satellite footprint data between two size categories are also discussed.

P-Value, a true test of statistical significance? a cautionary note ...

African Journals Online (AJOL)

While it's not the intention of the founders of significance testing and hypothesis testing to have the two ideas intertwined as if they are complementary, the inconvenient marriage of the two practices into one coherent, convenient, incontrovertible and misinterpreted practice has dotted our standard statistics textbooks and ...

Codon Deviation Coefficient: A novel measure for estimating codon usage bias and its statistical significance

KAUST Repository

Zhang, Zhang

2012-03-22

Background: Genetic mutation, selective pressure for translational efficiency and accuracy, level of gene expression, and protein function through natural selection are all believed to lead to codon usage bias (CUB). Therefore, informative measurement of CUB is of fundamental importance to making inferences regarding gene function and genome evolution. However, extant measures of CUB have not fully accounted for the quantitative effect of background nucleotide composition and have not statistically evaluated the significance of CUB in sequence analysis.Results: Here we propose a novel measure--Codon Deviation Coefficient (CDC)--that provides an informative measurement of CUB and its statistical significance without requiring any prior knowledge. Unlike previous measures, CDC estimates CUB by accounting for background nucleotide compositions tailored to codon positions and adopts the bootstrapping to assess the statistical significance of CUB for any given sequence. We evaluate CDC by examining its effectiveness on simulated sequences and empirical data and show that CDC outperforms extant measures by achieving a more informative estimation of CUB and its statistical significance.Conclusions: As validated by both simulated and empirical data, CDC provides a highly informative quantification of CUB and its statistical significance, useful for determining comparative magnitudes and patterns of biased codon usage for genes or genomes with diverse sequence compositions. 2012 Zhang et al; licensee BioMed Central Ltd.

Interpreting Statistical Significance Test Results: A Proposed New "What If" Method.

Science.gov (United States)

Kieffer, Kevin M.; Thompson, Bruce

As the 1994 publication manual of the American Psychological Association emphasized, "p" values are affected by sample size. As a result, it can be helpful to interpret the results of statistical significant tests in a sample size context by conducting so-called "what if" analyses. However, these methods can be inaccurate…

Measuring individual significant change on the Beck Depression Inventory-II through IRT-based statistics.

NARCIS (Netherlands)

Brouwer, D.; Meijer, R.R.; Zevalkink, D.J.

2013-01-01

Several researchers have emphasized that item response theory (IRT)-based methods should be preferred over classical approaches in measuring change for individual patients. In the present study we discuss and evaluate the use of IRT-based statistics to measure statistical significant individual

Strategies for Testing Statistical and Practical Significance in Detecting DIF with Logistic Regression Models

Science.gov (United States)

Fidalgo, Angel M.; Alavi, Seyed Mohammad; Amirian, Seyed Mohammad Reza

2014-01-01

This study examines three controversial aspects in differential item functioning (DIF) detection by logistic regression (LR) models: first, the relative effectiveness of different analytical strategies for detecting DIF; second, the suitability of the Wald statistic for determining the statistical significance of the parameters of interest; and…

Thresholds for statistical and clinical significance in systematic reviews with meta-analytic methods

DEFF Research Database (Denmark)

Jakobsen, Janus Christian; Wetterslev, Jorn; Winkel, Per

2014-01-01

BACKGROUND: Thresholds for statistical significance when assessing meta-analysis results are being insufficiently demonstrated by traditional 95% confidence intervals and P-values. Assessment of intervention effects in systematic reviews with meta-analysis deserves greater rigour. METHODS......: Methodologies for assessing statistical and clinical significance of intervention effects in systematic reviews were considered. Balancing simplicity and comprehensiveness, an operational procedure was developed, based mainly on The Cochrane Collaboration methodology and the Grading of Recommendations...... Assessment, Development, and Evaluation (GRADE) guidelines. RESULTS: We propose an eight-step procedure for better validation of meta-analytic results in systematic reviews (1) Obtain the 95% confidence intervals and the P-values from both fixed-effect and random-effects meta-analyses and report the most...

The significance of relationships

Science.gov (United States)

Burningham, Kate

2017-12-01

Understanding individual energy use can inform interventions for energy conservation. A longitudinal qualitative interview study shows that energy use behaviour is not simply a matter of individual choice, but rather is influenced by unique personal circumstances and familial and social relationships, which change over time.

Statistically significant dependence of the Xaa-Pro peptide bond conformation on secondary structure and amino acid sequence

Directory of Open Access Journals (Sweden)

Leitner Dietmar

2005-04-01

Full Text Available Abstract Background A reliable prediction of the Xaa-Pro peptide bond conformation would be a useful tool for many protein structure calculation methods. We have analyzed the Protein Data Bank and show that the combined use of sequential and structural information has a predictive value for the assessment of the cis versus trans peptide bond conformation of Xaa-Pro within proteins. For the analysis of the data sets different statistical methods such as the calculation of the Chou-Fasman parameters and occurrence matrices were used. Furthermore we analyzed the relationship between the relative solvent accessibility and the relative occurrence of prolines in the cis and in the trans conformation. Results One of the main results of the statistical investigations is the ranking of the secondary structure and sequence information with respect to the prediction of the Xaa-Pro peptide bond conformation. We observed a significant impact of secondary structure information on the occurrence of the Xaa-Pro peptide bond conformation, while the sequence information of amino acids neighboring proline is of little predictive value for the conformation of this bond. Conclusion In this work, we present an extensive analysis of the occurrence of the cis and trans proline conformation in proteins. Based on the data set, we derived patterns and rules for a possible prediction of the proline conformation. Upon adoption of the Chou-Fasman parameters, we are able to derive statistically relevant correlations between the secondary structure of amino acid fragments and the Xaa-Pro peptide bond conformation.

Study of relationship between MUF correlation and detection sensitivity of statistical analysis

International Nuclear Information System (INIS)

Tamura, Toshiaki; Ihara, Hitoshi; Yamamoto, Yoichi; Ikawa, Koji

1989-11-01

Various kinds of statistical analysis are proposed to NRTA (Near Real Time Materials Accountancy) which was devised to satisfy the timeliness goal of one of the detection goals of IAEA. It will be presumed that different statistical analysis results will occur between the case of considered rigorous error propagation (with MUF correlation) and the case of simplified error propagation (without MUF correlation). Therefore, measurement simulation and decision analysis were done using flow simulation of 800 MTHM/Y model reprocessing plant, and relationship between MUF correlation and detection sensitivity and false alarm of statistical analysis was studied. Specific character of material accountancy for 800 MTHM/Y model reprocessing plant was grasped by this simulation. It also became clear that MUF correlation decreases not only false alarm but also detection probability for protracted loss in case of CUMUF test and Page's test applied to NRTA. (author)

Management system, organizational climate and performance relationships

Science.gov (United States)

Davis, B. D.

1979-01-01

Seven aerospace firms were investigated to determine if a relationship existed among management systems, organizational climate, and organization performance. Positive relationships were found between each of these variables, but a statistically significant relationship existed only between the management system and organizational climate. The direction and amount of communication and the degree of decentralized decision-making, elements of the management system, also had a statistically significant realtionship with organization performance.

The relationship between inter-organizational trust and performance

Directory of Open Access Journals (Sweden)

Roman Fiala

2012-01-01

Full Text Available The article deals with an investigation of the relationship between inter-organizational trust and performance. Using data obtained in a questionnaire survey in 373 organizations with more than 20 employees with their seat in the Czech Republic, we found the relationship between inter-organizational trust and supplier performance, mediated by the level of conflict. Also, the statistically significant negative relationship between inter-organizational trust and costs of negotiation and the statistically significant positive relationship between supplier performance and perceived performance were confirmed. The hypothesis on the statistically significant relationship between inter-organizational trust and negotiating costs was not confirmed. The structural equation modelling technique was used in the calculations. The calculated model fit indices (CFI, NFI, NNFI with values over 0.9 demonstrate a very good quality of the model.

Intensive inpatient treatment for bulimia nervosa: Statistical and clinical significance of symptom changes.

Science.gov (United States)

Diedrich, Alice; Schlegl, Sandra; Greetfeld, Martin; Fumi, Markus; Voderholzer, Ulrich

2018-03-01

This study examines the statistical and clinical significance of symptom changes during an intensive inpatient treatment program with a strong psychotherapeutic focus for individuals with severe bulimia nervosa. 295 consecutively admitted bulimic patients were administered the Structured Interview for Anorexic and Bulimic Syndromes-Self-Rating (SIAB-S), the Eating Disorder Inventory-2 (EDI-2), the Brief Symptom Inventory (BSI), and the Beck Depression Inventory-II (BDI-II) at treatment intake and discharge. Results indicated statistically significant symptom reductions with large effect sizes regarding severity of binge eating and compensatory behavior (SIAB-S), overall eating disorder symptom severity (EDI-2), overall psychopathology (BSI), and depressive symptom severity (BDI-II) even when controlling for antidepressant medication. The majority of patients showed either reliable (EDI-2: 33.7%, BSI: 34.8%, BDI-II: 18.1%) or even clinically significant symptom changes (EDI-2: 43.2%, BSI: 33.9%, BDI-II: 56.9%). Patients with clinically significant improvement were less distressed at intake and less likely to suffer from a comorbid borderline personality disorder when compared with those who did not improve to a clinically significant extent. Findings indicate that intensive psychotherapeutic inpatient treatment may be effective in about 75% of severely affected bulimic patients. For the remaining non-responding patients, inpatient treatment might be improved through an even stronger focus on the reduction of comorbid borderline personality traits.

Recent Literature on Whether Statistical Significance Tests Should or Should Not Be Banned.

Science.gov (United States)

Deegear, James

This paper summarizes the literature regarding statistical significant testing with an emphasis on recent literature in various discipline and literature exploring why researchers have demonstrably failed to be influenced by the American Psychological Association publication manual's encouragement to report effect sizes. Also considered are…

Investigating the genetic relationship between Alzheimer’s disease and cancer using GWAS summary statistics

NARCIS (Netherlands)

Feng, Yen Chen Anne; Cho, Kelly; Lindstrom, Sara; Kraft, Peter; Cormack, Jean; Blalock, Kendra; Campbell, Peter T.; Casey, Graham; Conti, David V.; Edlund, Christopher K.; Figueiredo, Jane; James Gauderman, W.; Gong, Jian; Green, Roger C.; Gruber, Stephen B.; Harju, John F.; Harrison, Tabitha A.; Jacobs, Eric J; Jenkins, Mark A.; Jiao, Shuo; Li, Li; Lin, Yi; Manion, Frank J.; Moreno, Victor; Mukherjee, Bhramar; Peters, Ulrike; Raskin, Leon; Schumacher, Fredrick R.; Seminara, Daniela; Severi, Gianluca; Stenzel, Stephanie L.; Thomas, Duncan C.; Hopper, John L.; Southey, Melissa C.; Makalic, Enes; Schmidt, Daniel F.; Fletcher, Olivia; Peto, Julian; Gibson, Lorna; Dos-Santos-Silva, Isabel; Hunter, David J.; Lindström, Sara; Kraft, Peter; Ahsan, Habib; Whittemore, Alice S.; Waisfisz, Quinten; Meijers-Heijboer, Hanne; Adank, Muriel A.; van der Luijt, Rob B.; Uitterlinden, Andre G; Hofman, Albert; Meindl, Alfons; Schmutzler, Rita K.; Müller-Myhsok, Bertram; Lichtner, Peter; Nevanlinna, Heli; Muranen, Taru A.; Aittomäki, Kristiina; Blomqvist, Carl; Chang-Claude, Jenny; Hein, Rebecca; Dahmen, Norbert; Beckman, Lars; Crisponi, Laura; Hall, Per; Czene, Kamila; Irwanto, Astrid; Liu, Jianjun; Easton, Douglas F.; Turnbull, Clare A.; Rahman, Nazneen; Kote-Jarai, Zsofia; Muir, Kenneth; Giles, Graham G.; Severi, Gianluca; Neal, David E.; Donovan, Jenny L.; Hamdy, Freddie C.; Wiklund, Fredrik; Gronberg, Henrik; Haiman, Christopher; Schumacher, Fred; Travis, Ruth C.; Riboli, Elio; Kraft, Peter; Hunter, David J.; Gapstur, Susan M.; Berndt, Sonja I.; Chanock, Stephen J.; Han, Younghun; Su, Li; Wei, Yongyue; Hung, Rayjean J.; Brhane, Yonathan; McLaughlin, John; Brennan, Paul; McKay, James D.; Bickeböller, Heike; Rosenberger, Albert; Houlston, Richard S.; Caporaso, Neil E; Landi, Maria Teresa; Heinrich, Joachim; Risch, Angela; Wu, Xifeng; Ye, Yuanqing; Christiani, David C.; Amos, Christopher I; Liang, Liming; Driver, Jane A.; IGAP Consortium, Colorectal Transdisciplinary Study (CORECT); Discovery, Biology, and Risk of Inherited Variants in Breast Cancer (DRIVE)

2017-01-01

Growing evidence from both epidemiology and basic science suggest an inverse association between Alzheimer’s disease (AD) and cancer. We examined the genetic relationship between AD and various cancer types using GWAS summary statistics from the IGAP and GAME-ON consortia. Sample size ranged from

Cloud-based solution to identify statistically significant MS peaks differentiating sample categories.

Science.gov (United States)

Ji, Jun; Ling, Jeffrey; Jiang, Helen; Wen, Qiaojun; Whitin, John C; Tian, Lu; Cohen, Harvey J; Ling, Xuefeng B

2013-03-23

Mass spectrometry (MS) has evolved to become the primary high throughput tool for proteomics based biomarker discovery. Until now, multiple challenges in protein MS data analysis remain: large-scale and complex data set management; MS peak identification, indexing; and high dimensional peak differential analysis with the concurrent statistical tests based false discovery rate (FDR). "Turnkey" solutions are needed for biomarker investigations to rapidly process MS data sets to identify statistically significant peaks for subsequent validation. Here we present an efficient and effective solution, which provides experimental biologists easy access to "cloud" computing capabilities to analyze MS data. The web portal can be accessed at http://transmed.stanford.edu/ssa/. Presented web application supplies large scale MS data online uploading and analysis with a simple user interface. This bioinformatic tool will facilitate the discovery of the potential protein biomarkers using MS.

Power, effects, confidence, and significance: an investigation of statistical practices in nursing research.

Science.gov (United States)

Gaskin, Cadeyrn J; Happell, Brenda

2014-05-01

improvement. Most importantly, researchers should abandon the misleading practice of interpreting the results from inferential tests based solely on whether they are statistically significant (or not) and, instead, focus on reporting and interpreting effect sizes, confidence intervals, and significance levels. Nursing researchers also need to conduct and report a priori power analyses, and to address the issue of Type I experiment-wise error inflation in their studies. Crown Copyright © 2013. Published by Elsevier Ltd. All rights reserved.

Examining reproducibility in psychology : A hybrid method for combining a statistically significant original study and a replication

NARCIS (Netherlands)

Van Aert, R.C.M.; Van Assen, M.A.L.M.

2018-01-01

The unrealistically high rate of positive results within psychology has increased the attention to replication research. However, researchers who conduct a replication and want to statistically combine the results of their replication with a statistically significant original study encounter

A tutorial on hunting statistical significance by chasing N

Directory of Open Access Journals (Sweden)

Denes Szucs

2016-09-01

Full Text Available There is increasing concern about the replicability of studies in psychology and cognitive neuroscience. Hidden data dredging (also called p-hacking is a major contributor to this crisis because it substantially increases Type I error resulting in a much larger proportion of false positive findings than the usually expected 5%. In order to build better intuition to avoid, detect and criticise some typical problems, here I systematically illustrate the large impact of some easy to implement and so, perhaps frequent data dredging techniques on boosting false positive findings. I illustrate several forms of two special cases of data dredging. First, researchers may violate the data collection stopping rules of null hypothesis significance testing by repeatedly checking for statistical significance with various numbers of participants. Second, researchers may group participants post-hoc along potential but unplanned independent grouping variables. The first approach 'hacks' the number of participants in studies, the second approach ‘hacks’ the number of variables in the analysis. I demonstrate the high amount of false positive findings generated by these techniques with data from true null distributions. I also illustrate that it is extremely easy to introduce strong bias into data by very mild selection and re-testing. Similar, usually undocumented data dredging steps can easily lead to having 20-50%, or more false positives.

Statistical analysis and data management

International Nuclear Information System (INIS)

Anon.

1981-01-01

This report provides an overview of the history of the WIPP Biology Program. The recommendations of the American Institute of Biological Sciences (AIBS) for the WIPP biology program are summarized. The data sets available for statistical analyses and problems associated with these data sets are also summarized. Biological studies base maps are presented. A statistical model is presented to evaluate any correlation between climatological data and small mammal captures. No statistically significant relationship between variance in small mammal captures on Dr. Gennaro's 90m x 90m grid and precipitation records from the Duval Potash Mine were found

Using the Expectancy Value Model of Motivation to Understand the Relationship between Student Attitudes and Achievement in Statistics

Science.gov (United States)

Hood, Michelle; Creed, Peter A.; Neumann, David L.

2012-01-01

We tested a model of the relationship between attitudes toward statistics and achievement based on Eccles' Expectancy Value Model (1983). Participants (n = 149; 83% female) were second-year Australian university students in a psychology statistics course (mean age = 23.36 years, SD = 7.94 years). We obtained demographic details, past performance,…

The relationship between venture capital investment and macro economic variables via statistical computation method

Science.gov (United States)

Aygunes, Gunes

2017-07-01

The objective of this paper is to survey and determine the macroeconomic factors affecting the level of venture capital (VC) investments in a country. The literary depends on venture capitalists' quality and countries' venture capital investments. The aim of this paper is to give relationship between venture capital investment and macro economic variables via statistical computation method. We investigate the countries and macro economic variables. By using statistical computation method, we derive correlation between venture capital investments and macro economic variables. According to method of logistic regression model (logit regression or logit model), macro economic variables are correlated with each other in three group. Venture capitalists regard correlations as a indicator. Finally, we give correlation matrix of our results.

A critical discussion of null hypothesis significance testing and statistical power analysis within psychological research

DEFF Research Database (Denmark)

Jones, Allan; Sommerlund, Bo

2007-01-01

The uses of null hypothesis significance testing (NHST) and statistical power analysis within psychological research are critically discussed. The article looks at the problems of relying solely on NHST when dealing with small and large sample sizes. The use of power-analysis in estimating...... the potential error introduced by small and large samples is advocated. Power analysis is not recommended as a replacement to NHST but as an additional source of information about the phenomena under investigation. Moreover, the importance of conceptual analysis in relation to statistical analysis of hypothesis...

The relationship between VHF radar auroral backscatter amplitude and Doppler velocity: a statistical study

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B. A. Shand

Full Text Available A statistical investigation of the relationship between VHF radar auroral backscatter intensity and Doppler velocity has been undertaken with data collected from 8 years operation of the Wick site of the Sweden And Britain Radar-auroral Experiment (SABRE. The results indicate three different regimes within the statistical data set; firstly, for Doppler velocities <200 m s^–1, the backscatter intensity (measured in decibels remains relatively constant. Secondly, a linear relationship is observed between the backscatter intensity (in decibels and Doppler velocity for velocities between 200 m s^–1 and 700 m s^–1. At velocities greater than 700 m s^–1 the backscatter intensity saturates at a maximum value as the Doppler velocity increases. There are three possible geophysical mechanisms for the saturation in the backscatter intensity at high phase speeds: a saturation in the irregularity turbulence level, a maximisation of the scattering volume, and a modification of the local ambient electron density. There is also a difference in the dependence of the backscatter intensity on Doppler velocity for the flow towards and away from the radar. The results for flow towards the radar exhibit a consistent relationship between backscatter intensity and measured velocities throughout the solar cycle. For flow away from the radar, however, the relationship between backscatter intensity and Doppler velocity varies during the solar cycle. The geometry of the SABRE system ensures that flow towards the radar is predominantly associated with the eastward electrojet, and flow away is associated with the westward electrojet. The difference in the backscatter intensity variation as a function of Doppler velocity is attributed to asymmetries between the eastward and westward electrojets and the geophysical parameters controlling the backscatter amplitude.

The relationship between VHF radar auroral backscatter amplitude and Doppler velocity: a statistical study

Directory of Open Access Journals (Sweden)

B. A. Shand

1996-08-01

Full Text Available A statistical investigation of the relationship between VHF radar auroral backscatter intensity and Doppler velocity has been undertaken with data collected from 8 years operation of the Wick site of the Sweden And Britain Radar-auroral Experiment (SABRE. The results indicate three different regimes within the statistical data set; firstly, for Doppler velocities <200 m s–1, the backscatter intensity (measured in decibels remains relatively constant. Secondly, a linear relationship is observed between the backscatter intensity (in decibels and Doppler velocity for velocities between 200 m s–1 and 700 m s–1. At velocities greater than 700 m s–1 the backscatter intensity saturates at a maximum value as the Doppler velocity increases. There are three possible geophysical mechanisms for the saturation in the backscatter intensity at high phase speeds: a saturation in the irregularity turbulence level, a maximisation of the scattering volume, and a modification of the local ambient electron density. There is also a difference in the dependence of the backscatter intensity on Doppler velocity for the flow towards and away from the radar. The results for flow towards the radar exhibit a consistent relationship between backscatter intensity and measured velocities throughout the solar cycle. For flow away from the radar, however, the relationship between backscatter intensity and Doppler velocity varies during the solar cycle. The geometry of the SABRE system ensures that flow towards the radar is predominantly associated with the eastward electrojet, and flow away is associated with the westward electrojet. The difference in the backscatter intensity variation as a function of Doppler velocity is attributed to asymmetries between the eastward and westward electrojets and the geophysical parameters controlling the backscatter amplitude.

Integrative Genomics: Quantifying significance of phenotype-genotype relationships from multiple sources of high-throughput data

Directory of Open Access Journals (Sweden)

Eric eGamazon

2013-05-01

Full Text Available Given recent advances in the generation of high-throughput data such as whole genome genetic variation and transcriptome expression, it is critical to come up with novel methods to integrate these heterogeneous datasets and to assess the significance of identified phenotype-genotype relationships. Recent studies show that genome-wide association findings are likely to fall in loci with gene regulatory effects such as expression quantitative trait loci (eQTLs, demonstrating the utility of such integrative approaches. When genotype and gene expression data are available on the same individuals, we developed methods wherein top phenotype-associated genetic variants are prioritized if they are associated, as eQTLs, with gene expression traits that are themselves associated with the phenotype. Yet there has been no method to determine an overall p-value for the findings that arise specifically from the integrative nature of the approach. We propose a computationally feasible permutation method that accounts for the assimilative nature of the method and the correlation structure among gene expression traits and among genotypes. We apply the method to data from a study of cellular sensitivity to etoposide, one of the most widely used chemotherapeutic drugs. To our knowledge, this study is the first statistically sound quantification of the significance of the genotype-phenotype relationships resulting from applying an integrative approach. This method can be easily extended to cases in which gene expression data are replaced by other molecular phenotypes of interest, e.g., microRNA or proteomic data. This study has important implications for studies seeking to expand on genetic association studies by the use of omics data. Finally, we provide an R code to compute the empirical FDR when p-values for the observed and simulated phenotypes are available.

Statistical significance estimation of a signal within the GooFit framework on GPUs

Directory of Open Access Journals (Sweden)

Cristella Leonardo

2017-01-01

Full Text Available In order to test the computing capabilities of GPUs with respect to traditional CPU cores a high-statistics toy Monte Carlo technique has been implemented both in ROOT/RooFit and GooFit frameworks with the purpose to estimate the statistical significance of the structure observed by CMS close to the kinematical boundary of the J/ψϕ invariant mass in the three-body decay B+ → J/ψϕK+. GooFit is a data analysis open tool under development that interfaces ROOT/RooFit to CUDA platform on nVidia GPU. The optimized GooFit application running on GPUs hosted by servers in the Bari Tier2 provides striking speed-up performances with respect to the RooFit application parallelised on multiple CPUs by means of PROOF-Lite tool. The considerable resulting speed-up, evident when comparing concurrent GooFit processes allowed by CUDA Multi Process Service and a RooFit/PROOF-Lite process with multiple CPU workers, is presented and discussed in detail. By means of GooFit it has also been possible to explore the behaviour of a likelihood ratio test statistic in different situations in which the Wilks Theorem may or may not apply because its regularity conditions are not satisfied.

The therapeutic relationship: historical development and contemporary significance.

Science.gov (United States)

O'Brien, A J

2001-04-01

The therapeutic relationship is a concept held by many to be fundamental to the identity of mental health nurses. While the therapeutic relationship was given formal expression in nursing theory in the middle of the last century, its origins can be traced to attendants' interpersonal practices in the asylum era. The dominance of medical understandings of mental distress, and the working-class status of asylum attendants, prevented the development of an account of mental health nursing based on attendants' relationships with asylum inmates. It was left to Peplau and other nursing theorists to describe mental health nursing as a therapeutic relationship in the 1940s and later. Some distinctive features of colonial life in New Zealand suggest that the ideal of the attendant as the embodiment of bourgeoisie values seems particularly unlikely to have been realized in the New Zealand context. However, New Zealand literature from the 20th century shows that the therapeutic relationship, as part of a general development of a therapeutic discourse, came to assume a central place in conceptualizations of mental health nursing. While the therapeutic relationship is not by itself a sufficient basis for professional continuity, it continues to play a fundamental role in mental health nurses' professional identity. The way in which the therapeutic relationship is articulated in the future will determine the meaning of the therapeutic relationship for future generations of mental health nurses.

Statistical model selection with “Big Data”

Directory of Open Access Journals (Sweden)

Jurgen A. Doornik

2015-12-01

Full Text Available Big Data offer potential benefits for statistical modelling, but confront problems including an excess of false positives, mistaking correlations for causes, ignoring sampling biases and selecting by inappropriate methods. We consider the many important requirements when searching for a data-based relationship using Big Data, and the possible role of Autometrics in that context. Paramount considerations include embedding relationships in general initial models, possibly restricting the number of variables to be selected over by non-statistical criteria (the formulation problem, using good quality data on all variables, analyzed with tight significance levels by a powerful selection procedure, retaining available theory insights (the selection problem while testing for relationships being well specified and invariant to shifts in explanatory variables (the evaluation problem, using a viable approach that resolves the computational problem of immense numbers of possible models.

Is statistical significance clinically important?--A guide to judge the clinical relevance of study findings

NARCIS (Netherlands)

Sierevelt, Inger N.; van Oldenrijk, Jakob; Poolman, Rudolf W.

2007-01-01

In this paper we describe several issues that influence the reporting of statistical significance in relation to clinical importance, since misinterpretation of p values is a common issue in orthopaedic literature. Orthopaedic research is tormented by the risks of false-positive (type I error) and

Statistics Anxiety and Worry: The Roles of Worry Beliefs, Negative Problem Orientation, and Cognitive Avoidance

Science.gov (United States)

Williams, Amanda S.

2015-01-01

Statistics anxiety is a common problem for graduate students. This study explores the multivariate relationship between a set of worry-related variables and six types of statistics anxiety. Canonical correlation analysis indicates a significant relationship between the two sets of variables. Findings suggest that students who are more intolerant…

The relationship between five-factor model and diagnostic and statistical manual of mental disorder-fifth edition personality traits on patients with antisocial personality disorder.

Science.gov (United States)

Amini, Mahdi; Pourshahbaz, Abbas; Mohammadkhani, Parvaneh; Ardakani, Mohammad-Reza Khodaie; Lotfi, Mozhgan; Ramezani, Mohammad Arash

2015-05-01

Despite the fact that new criteria of antisocial personality disorder (ASPD) in diagnostic and statistical manual of mental disorders-fifth edition (DSM-5) were resulted from five-factor model (FFM), there is a small amount of studies that investigate the relations between proposed personality traits and FFM. Also, cross-cultural study in this field continuously would be needed. The aim of the present study was to evaluate the relation between the FFM and DSM-5 ASPD pathological traits. This study was a cross-sectional study design. The participants consisted of 122 individuals with ASPD that selected from prisoners (73.0%), outpatients (18.0%), and inpatients (9.0%). They were recruited from Tehran Prisoners, and Clinical Psychology and Psychiatry Clinics of Razi and Taleghani Hospitals, Tehran, Iran, since 2013-2014. The Sample was selected based on judgmental sampling. The structured clinical interview for DSM-IV axis II disorders-Personality Questionnaire, NEO-Personality Inventory-Revised, and DSM-5 personality trait rating form were used to diagnosis and assessment of personality disorder. Pearson correlation has been used for data analysis. All statistical analyses were performed using the SPSS 16 software. The results indicate that neuroticism (N) has positive significant relationship with hostility (r = 0.33, P < 0.01), manipulativeness (r = 0.25, P < 0.01), deceitfulness (r =.23, P < 0.01), impulsivity (r = 0.20, P < 0.05), and negative relation with risk taking (r = -0.23, P < 0.01). Also, there was significant relationship between extraversion (E) with manipulativeness (r = 0.28, P < 0.01) and deceitfulness (r = 0.32, P < 0.01). Agreeableness and conscientiousness have negative significant relation with DSM-5 traits. In addition, results showed that there is positive significant relationship between FFM and DSM-5 personality traits with DSM-fourth edition-text revision (DSM-IV-TR) ASPD symptoms (P < 0.01). Except manipulativeness, deceitfulness, and

The relationship between five-factor model and diagnostic and statistical manual of mental disorder-fifth edition personality traits on patients with antisocial personality disorder

Directory of Open Access Journals (Sweden)

Mahdi Amini

2015-01-01

Full Text Available Background: Despite the fact that new criteria of antisocial personality disorder (ASPD in diagnostic and statistical manual of mental disorders-fifth edition (DSM-5 were resulted from five-factor model (FFM, there is a small amount of studies that investigate the relations between proposed personality traits and FFM. Also, cross-cultural study in this field continuously would be needed. The aim of the present study was to evaluate the relation between the FFM and DSM-5 ASPD pathological traits. Materials and Methods: This study was a cross-sectional study design. The participants consisted of 122 individuals with ASPD that selected from prisoners (73.0%, outpatients (18.0%, and inpatients (9.0%. They were recruited from Tehran Prisoners, and Clinical Psychology and Psychiatry Clinics of Razi and Taleghani Hospitals, Tehran, Iran, since 2013-2014. The Sample was selected based on judgmental sampling. The structured clinical interview for DSM-IV axis II disorders-Personality Questionnaire, NEO-Personality Inventory-Revised, and DSM-5 personality trait rating form were used to diagnosis and assessment of personality disorder. Pearson correlation has been used for data analysis. All statistical analyses were performed using the SPSS 16 software. Results: The results indicate that neuroticism (N has positive significant relationship with hostility (r = 0.33, P < 0.01, manipulativeness (r = 0.25, P < 0.01, deceitfulness (r =.23, P < 0.01, impulsivity (r = 0.20, P < 0.05, and negative relation with risk taking (r = −0.23, P < 0.01. Also, there was significant relationship between extraversion (E with manipulativeness (r = 0.28, P < 0.01 and deceitfulness (r = 0.32, P < 0.01. Agreeableness and conscientiousness have negative significant relation with DSM-5 traits. In addition, results showed that there is positive significant relationship between FFM and DSM-5 personality traits with DSM-fourth edition-text revision (DSM-IV-TR ASPD symptoms (P < 0

Statistical significance of theoretical predictions: A new dimension in nuclear structure theories (I)

International Nuclear Information System (INIS)

DUDEK, J; SZPAK, B; FORNAL, B; PORQUET, M-G

2011-01-01

In this and the follow-up article we briefly discuss what we believe represents one of the most serious problems in contemporary nuclear structure: the question of statistical significance of parametrizations of nuclear microscopic Hamiltonians and the implied predictive power of the underlying theories. In the present Part I, we introduce the main lines of reasoning of the so-called Inverse Problem Theory, an important sub-field in the contemporary Applied Mathematics, here illustrated on the example of the Nuclear Mean-Field Approach.

Investigating lithological and geophysical relationships with applications to geological uncertainty analysis using Multiple-Point Statistical methods

DEFF Research Database (Denmark)

Barfod, Adrian

The PhD thesis presents a new method for analyzing the relationship between resistivity and lithology, as well as a method for quantifying the hydrostratigraphic modeling uncertainty related to Multiple-Point Statistical (MPS) methods. Three-dimensional (3D) geological models are im...... is to improve analysis and research of the resistivity-lithology relationship and ensemble geological/hydrostratigraphic modeling. The groundwater mapping campaign in Denmark, beginning in the 1990’s, has resulted in the collection of large amounts of borehole and geophysical data. The data has been compiled...... in two publicly available databases, the JUPITER and GERDA databases, which contain borehole and geophysical data, respectively. The large amounts of available data provided a unique opportunity for studying the resistivity-lithology relationship. The method for analyzing the resistivity...

Obscure phenomena in statistical analysis of quantitative structure-activity relationships. Part 1: Multicollinearity of physicochemical descriptors.

Science.gov (United States)

Mager, P P; Rothe, H

1990-10-01

Multicollinearity of physicochemical descriptors leads to serious consequences in quantitative structure-activity relationship (QSAR) analysis, such as incorrect estimators and test statistics of regression coefficients of the ordinary least-squares (OLS) model applied usually to QSARs. Beside the diagnosis of the known simple collinearity, principal component regression analysis (PCRA) also allows the diagnosis of various types of multicollinearity. Only if the absolute values of PCRA estimators are order statistics that decrease monotonically, the effects of multicollinearity can be circumvented. Otherwise, obscure phenomena may be observed, such as good data recognition but low predictive model power of a QSAR model.

The Relationship Between the Customer Relationship Management and Patients' Loyalty to Hospitals.

Science.gov (United States)

Hajikhani, Shadi; Tabibi, Seyed Jamaledin; Riahi, Leila

2015-06-25

Customer Relationship Management (CRM) with its various components has been considered as a tool causing customers' loyalty. The present study aims to investigate the relationship between the various components of customer relationship management and patients' loyalty to the place of their treatment. This cross sectional and descriptive-analytical study was conducted among nurses and hospitalized patients in inpatient wards in selected hospitals in 2014. Using the stratified random sampling method, 224 valid and reliable researcher-drafted questionnaires were completed for CRM by nurses and 359 questionnaires were completed by patients for patients' loyalty in the studied wards. Data were analyzed using the SPSS(20) software. There was no statistically significant relationship between the level of patients' loyalty and organizational indicators, information technology and knowledge management (P Value>0.05). However, there was a statistically significant relationship between loyalty and the dimensions of the service process (P Value=0.04), human resources (P Value=0.002) and CRM (P Value=0.038). The strength of these relationships were 34, 40 and 36 percent, respectively all of which were positive. Customer Relationship Management is a tool for improving influencing factors on patients' satisfaction and loyalty. Therefore, attempts to implement customer relationship management as a process for improving hospitals performance and improving communication between service providers in hospitals and customers leading to enhance patients' loyalty should be taken into account by managers and policy makers in the health sectors.

The Relationship Between the Customer Relationship Management and Patients’ Loyalty to Hospitals

Science.gov (United States)

Hajikhani, Shadi; Tabibi, Seyed Jamaledin; Riahi, Leila

2016-01-01

Background and Aim: Customer Relationship Management (CRM) with its various components has been considered as a tool causing customers’ loyalty. The present study aims to investigate the relationship between the various components of customer relationship management and patients’ loyalty to the place of their treatment. Methods: This cross sectional and descriptive-analytical study was conducted among nurses and hospitalized patients in inpatient wards in selected hospitals in 2014. Using the stratified random sampling method, 224 valid and reliable researcher-drafted questionnaires were completed for CRM by nurses and 359 questionnaires were completed by patients for patients’ loyalty in the studied wards. Data were analyzed using the SPSS20 software. Results: There was no statistically significant relationship between the level of patients’ loyalty and organizational indicators, information technology and knowledge management (P Value>0.05). However, there was a statistically significant relationship between loyalty and the dimensions of the service process (P Value=0.04), human resources (P Value=0.002) and CRM (P Value=0.038). The strength of these relationships were 34, 40 and 36 percent, respectively all of which were positive. Conclusion: Customer Relationship Management is a tool for improving influencing factors on patients’ satisfaction and loyalty. Therefore, attempts to implement customer relationship management as a process for improving hospitals performance and improving communication between service providers in hospitals and customers leading to enhance patients’ loyalty should be taken into account by managers and policy makers in the health sectors. PMID:26493416

Significant others and contingencies of self-worth: activation and consequences of relationship-specific contingencies of self-worth.

Science.gov (United States)

Horberg, E J; Chen, Serena

2010-01-01

Three studies tested the activation and consequences of contingencies of self-worth associated with specific significant others, that is, relationship-specific contingencies of self-worth. The results showed that activating the mental representation of a significant other with whom one strongly desires closeness led participants to stake their self-esteem in domains in which the significant other wanted them to excel. This was shown in terms of self-reported contingencies of self-worth (Study 1), in terms of self-worth after receiving feedback on a successful or unsatisfactory performance in a relationship-specific contingency domain (Study 2), and in terms of feelings of reduced self-worth after thinking about a failure in a relationship-specific contingency domain (Study 3). Across studies, a variety of contingency domains were examined. Furthermore, Study 3 showed that failing in an activated relationship-specific contingency domain had negative implications for current feelings of closeness and acceptance in the significant-other relationship. Overall, the findings suggest that people's contingencies of self-worth depend on the social situation and that performance in relationship-specific contingency domains can influence people's perceptions of their relationships.

Statistical Significance of the Contribution of Variables to the PCA Solution: An Alternative Permutation Strategy

Science.gov (United States)

Linting, Marielle; van Os, Bart Jan; Meulman, Jacqueline J.

2011-01-01

In this paper, the statistical significance of the contribution of variables to the principal components in principal components analysis (PCA) is assessed nonparametrically by the use of permutation tests. We compare a new strategy to a strategy used in previous research consisting of permuting the columns (variables) of a data matrix…

A Note on Comparing the Power of Test Statistics at Low Significance Levels.

Science.gov (United States)

Morris, Nathan; Elston, Robert

2011-01-01

It is an obvious fact that the power of a test statistic is dependent upon the significance (alpha) level at which the test is performed. It is perhaps a less obvious fact that the relative performance of two statistics in terms of power is also a function of the alpha level. Through numerous personal discussions, we have noted that even some competent statisticians have the mistaken intuition that relative power comparisons at traditional levels such as α = 0.05 will be roughly similar to relative power comparisons at very low levels, such as the level α = 5 × 10 -8 , which is commonly used in genome-wide association studies. In this brief note, we demonstrate that this notion is in fact quite wrong, especially with respect to comparing tests with differing degrees of freedom. In fact, at very low alpha levels the cost of additional degrees of freedom is often comparatively low. Thus we recommend that statisticians exercise caution when interpreting the results of power comparison studies which use alpha levels that will not be used in practice.

The relationship between the statistics of open ocean currents and the temporal correlations of the wind stress

International Nuclear Information System (INIS)

Bel, Golan; Ashkenazy, Yosef

2013-01-01

We study the statistics of wind-driven open ocean currents. Using the Ekman layer model for the integrated currents, we investigate analytically and numerically the relationship between the wind-stress distribution and its temporal correlations and the statistics of the open ocean currents. We found that temporally long-range correlated winds result in currents whose statistics is proportional to the wind-stress statistics. On the other hand, short-range correlated winds lead to Gaussian distributions of the current components, regardless of the stationary distribution of the winds, and therefore to a Rayleigh distribution of the current amplitude, if the wind stress is isotropic. We found that the second moment of the current speed exhibits a maximum as a function of the correlation time of the wind stress for a non-zero Coriolis parameter. The results were validated using an oceanic general circulation model. (paper)

ClusterSignificance: A bioconductor package facilitating statistical analysis of class cluster separations in dimensionality reduced data

DEFF Research Database (Denmark)

Serviss, Jason T.; Gådin, Jesper R.; Eriksson, Per

2017-01-01

, e.g. genes in a specific pathway, alone can separate samples into these established classes. Despite this, the evaluation of class separations is often subjective and performed via visualization. Here we present the ClusterSignificance package; a set of tools designed to assess the statistical...... significance of class separations downstream of dimensionality reduction algorithms. In addition, we demonstrate the design and utility of the ClusterSignificance package and utilize it to determine the importance of long non-coding RNA expression in the identity of multiple hematological malignancies....

Extraction of business relationships in supply networks using statistical learning theory.

Science.gov (United States)

Zuo, Yi; Kajikawa, Yuya; Mori, Junichiro

2016-06-01

Supply chain management represents one of the most important scientific streams of operations research. The supply of energy, materials, products, and services involves millions of transactions conducted among national and local business enterprises. To deliver efficient and effective support for supply chain design and management, structural analyses and predictive models of customer-supplier relationships are expected to clarify current enterprise business conditions and to help enterprises identify innovative business partners for future success. This article presents the outcomes of a recent structural investigation concerning a supply network in the central area of Japan. We investigated the effectiveness of statistical learning theory to express the individual differences of a supply chain of enterprises within a certain business community using social network analysis. In the experiments, we employ support vector machine to train a customer-supplier relationship model on one of the main communities extracted from a supply network in the central area of Japan. The prediction results reveal an F-value of approximately 70% when the model is built by using network-based features, and an F-value of approximately 77% when the model is built by using attribute-based features. When we build the model based on both, F-values are improved to approximately 82%. The results of this research can help to dispel the implicit design space concerning customer-supplier relationships, which can be explored and refined from detailed topological information provided by network structures rather than from traditional and attribute-related enterprise profiles. We also investigate and discuss differences in the predictive accuracy of the model for different sizes of enterprises and types of business communities.

Extraction of business relationships in supply networks using statistical learning theory

Directory of Open Access Journals (Sweden)

Yi Zuo

2016-06-01

Full Text Available Supply chain management represents one of the most important scientific streams of operations research. The supply of energy, materials, products, and services involves millions of transactions conducted among national and local business enterprises. To deliver efficient and effective support for supply chain design and management, structural analyses and predictive models of customer–supplier relationships are expected to clarify current enterprise business conditions and to help enterprises identify innovative business partners for future success. This article presents the outcomes of a recent structural investigation concerning a supply network in the central area of Japan. We investigated the effectiveness of statistical learning theory to express the individual differences of a supply chain of enterprises within a certain business community using social network analysis. In the experiments, we employ support vector machine to train a customer–supplier relationship model on one of the main communities extracted from a supply network in the central area of Japan. The prediction results reveal an F-value of approximately 70% when the model is built by using network-based features, and an F-value of approximately 77% when the model is built by using attribute-based features. When we build the model based on both, F-values are improved to approximately 82%. The results of this research can help to dispel the implicit design space concerning customer–supplier relationships, which can be explored and refined from detailed topological information provided by network structures rather than from traditional and attribute-related enterprise profiles. We also investigate and discuss differences in the predictive accuracy of the model for different sizes of enterprises and types of business communities.

The significance of interfamilial relationships on birth preparedness and complication readiness in Pakistan.

Science.gov (United States)

Ghani, Usman; Crowther, Susan; Kamal, Yasir; Wahab, Muhammad

2018-03-29

In the interests of improving maternal health care and survival, the issue of birth preparedness and complication readiness has been much debated and has remained a priority for the international health community. The provision of birth preparedness and complications readiness is determined by a range of different factors. The main aim of this study is to identify and measure the influence of husbands and other family relationships on birth preparedness and complications readiness in the Khyber Pakhtunkhwa province of Pakistan. This study is a cross-sectional exploratory study. Data was collected through a survey questionnaire. Logistic regression and descriptive analysis was used. Analysis indicated that the mother-in-law's role, men's and women's level of education and interfamilial relationships are still the most significant factors influencing birth preparedness and complications readiness. Of the respondents, 86% were receiving antenatal care and 76.5% were planning for the birth to take place in state-run hospitals or private obstetric and gynae clinics. The tendency to take up antenatal care in Khyber Pakhtunkhwa can mainly be credited to a mutual understanding between husband and wife and a good relationship between the woman and her mother-in-law. Highlighting the significance of these relationships has implications for ensuring birth preparedness and complications readiness. Copyright © 2018 Australian College of Midwives. Published by Elsevier Ltd. All rights reserved.

Statistical Reporting Errors and Collaboration on Statistical Analyses in Psychological Science.

Science.gov (United States)

Veldkamp, Coosje L S; Nuijten, Michèle B; Dominguez-Alvarez, Linda; van Assen, Marcel A L M; Wicherts, Jelte M

2014-01-01

Statistical analysis is error prone. A best practice for researchers using statistics would therefore be to share data among co-authors, allowing double-checking of executed tasks just as co-pilots do in aviation. To document the extent to which this 'co-piloting' currently occurs in psychology, we surveyed the authors of 697 articles published in six top psychology journals and asked them whether they had collaborated on four aspects of analyzing data and reporting results, and whether the described data had been shared between the authors. We acquired responses for 49.6% of the articles and found that co-piloting on statistical analysis and reporting results is quite uncommon among psychologists, while data sharing among co-authors seems reasonably but not completely standard. We then used an automated procedure to study the prevalence of statistical reporting errors in the articles in our sample and examined the relationship between reporting errors and co-piloting. Overall, 63% of the articles contained at least one p-value that was inconsistent with the reported test statistic and the accompanying degrees of freedom, and 20% of the articles contained at least one p-value that was inconsistent to such a degree that it may have affected decisions about statistical significance. Overall, the probability that a given p-value was inconsistent was over 10%. Co-piloting was not found to be associated with reporting errors.

Statistical significance versus clinical importance: trials on exercise therapy for chronic low back pain as example.

NARCIS (Netherlands)

van Tulder, M.W.; Malmivaara, A.; Hayden, J.; Koes, B.

2007-01-01

STUDY DESIGN. Critical appraisal of the literature. OBJECIVES. The objective of this study was to assess if results of back pain trials are statistically significant and clinically important. SUMMARY OF BACKGROUND DATA. There seems to be a discrepancy between conclusions reported by authors and

Statistics 101 for Radiologists.

Science.gov (United States)

Anvari, Arash; Halpern, Elkan F; Samir, Anthony E

2015-10-01

Diagnostic tests have wide clinical applications, including screening, diagnosis, measuring treatment effect, and determining prognosis. Interpreting diagnostic test results requires an understanding of key statistical concepts used to evaluate test efficacy. This review explains descriptive statistics and discusses probability, including mutually exclusive and independent events and conditional probability. In the inferential statistics section, a statistical perspective on study design is provided, together with an explanation of how to select appropriate statistical tests. Key concepts in recruiting study samples are discussed, including representativeness and random sampling. Variable types are defined, including predictor, outcome, and covariate variables, and the relationship of these variables to one another. In the hypothesis testing section, we explain how to determine if observed differences between groups are likely to be due to chance. We explain type I and II errors, statistical significance, and study power, followed by an explanation of effect sizes and how confidence intervals can be used to generalize observed effect sizes to the larger population. Statistical tests are explained in four categories: t tests and analysis of variance, proportion analysis tests, nonparametric tests, and regression techniques. We discuss sensitivity, specificity, accuracy, receiver operating characteristic analysis, and likelihood ratios. Measures of reliability and agreement, including κ statistics, intraclass correlation coefficients, and Bland-Altman graphs and analysis, are introduced. © RSNA, 2015.

The Relationship between Test Anxiety and Academic Performance of Students in Vital Statistics Course

Directory of Open Access Journals (Sweden)

Shirin Iranfar

2013-12-01

Full Text Available Introduction: Test anxiety is a common phenomenon among students and is one of the problems of educational system. The present study was conducted to investigate the test anxiety in vital statistics course and its association with academic performance of students at Kermanshah University of Medical Sciences. This study was descriptive-analytical and the study sample included the students studying in nursing and midwifery, paramedicine and health faculties that had taken vital statistics course and were selected through census method. Sarason questionnaire was used to analyze the test anxiety. Data were analyzed by descriptive and inferential statistics. The findings indicated no significant correlation between test anxiety and score of vital statistics course.

Relationship of body weight parameters with the incidence of common spontaneous tumors in Tg.rasH2 mice.

Science.gov (United States)

Paranjpe, Madhav G; Denton, Melissa D; Vidmar, Tom J; Elbekai, Reem H

2014-10-01

The mechanistic relationship between increased food consumption, increased body weights, and increased incidence of tumors has been well established in 2-year rodent models. Body weight parameters such as initial body weights, terminal body weights, food consumption, and the body weight gains in grams and percentages were analyzed to determine whether such relationship exists between these parameters with the incidence of common spontaneous tumors in Tg.rasH2 mice. None of these body weight parameters had any statistically significant relationship with the incidence of common spontaneous tumors in Tg.rasH2 males, namely lung tumors, splenic hemangiosarcomas, nonsplenic hemangiosarcomas, combined incidence of all hemangiosarcomas, and Harderian gland tumors. These parameters also did not have any statistically significant relationship with the incidence of lung and Harderian gland tumors in females. However, in females, increased initial body weights did have a statistically significant relationship with the nonsplenic hemangiosarcomas, and increased terminal body weights did have a statistically significant relationship with the incidence of splenic hemangiosarcomas, nonsplenic hemangiosarcomas, and the combined incidence of all hemangiosarcomas. In addition, increased body weight gains in grams and percentages had a statistically significant relationship with the combined incidence of all hemangiosarcomas in females, but not separately with splenic and nonsplenic hemangiosarcomas. © 2013 by The Author(s).

Relationship between the COI test and other sensory profiles by statistical procedures

Directory of Open Access Journals (Sweden)

Calvente, J. J.

1994-04-01

Full Text Available Relationships between 139 sensory attributes evaluated on 32 samples of virgin olive oil have been analysed by a statistical sensory wheel that guarantees the objectiveness and prediction of its conclusions concerning the best clusters of attributes: green, bitter-pungent, ripe fruit, fruity, sweet fruit, undesirable attributes and two miscellanies. The procedure allows the sensory notes evaluated for potential consumers of this edible oil from the point of view of its habitual consumers to be understood with special reference to The European Communities Regulation n-2568/91. Five different panels: Spanish, Greek, Italian, Dutch and British, have been used to evaluate the samples. Analysis of the relationships between stimuli perceived by aroma, flavour, smell, mouthfeel and taste together with Linear Sensory Profiles based on Fuzzy Logic are provided. A 3-dimensional plot indicates the usefulness of the proposed procedure in the authentication of different varieties of virgin olive oil. An analysis of the volatile compounds responsible for most of the attributes gives weight to the conclusions. Directions which promise to improve the E.G. Regulation on the sensory quality of olive oil are also given.

Indirectional statistics and the significance of an asymmetry discovered by Birch

International Nuclear Information System (INIS)

Kendall, D.G.; Young, G.A.

1984-01-01

Birch (1982, Nature, 298, 451) reported an apparent 'statistical asymmetry of the Universe'. The authors here develop 'indirectional analysis' as a technique for investigating statistical effects of this kind and conclude that the reported effect (whatever may be its origin) is strongly supported by the observations. The estimated pole of the asymmetry is at RA 13h 30m, Dec. -37deg. The angular error in its estimation is unlikely to exceed 20-30deg. (author)

Polonium-210 and lead-210 in marine organisms: allometric relationships and their significance

International Nuclear Information System (INIS)

Cherry, R.D.; Heyraud, M.

1991-01-01

Allometric relationships which indicate that Po-210 concentrations in marine organisms decrease with increasing organism mass have been reported previously in a few taxa. We report here the results of a study of nearly 400 data covering nine taxa of marine organisms. The data for each taxon are fitted to the allometric equation log Q = log a + b log M, where Q is the Po-210 concentration (mBq/g dry mass) and M is the dry mass per individual (g). The weighted mean of the nine Po-210 slopes is -0.24 ± 0.05, and of the eight Pb-210 slopes is -0.22 ± 0.05. These values are close to the slope of -0.25 frequently found in mass-specific allometric relationships in biology; an association between radionuclide concentration and food ingestion rate is indicated. The intertaxon variations in the intercept log a are large, nearly two orders of magnitude for Po-210, a fact which almost certainly reflects intertaxon differences in diet and/or assimilation. Within taxa, sub-groupings of the Po-210 data are found; these are discussed and an attempt is made to classify them statistically for the data as a whole. (Author)

Statistical processing of natality data for the Czech Republic before and after the Chernobyl accident

International Nuclear Information System (INIS)

Klepetkova, Hana; Thinova, Lenka

2010-01-01

All available data regarding natality in Czechoslovakia (or the Czech Republic) before and after the Chernobyl accident are summarized. Data from the databases of the Czech Statistical Office and of the State Office for Nuclear Safety were used to analyze natality and mortality of children in the Czech Republic and to evaluate the relationship between the level of contamination and the change in the sex ratio at time of birth that was observed in some areas in November of 1986. Although the change in the ratio of newborn boys-to-girls ratio was statistically significant, no direct relationship between that ratio and the level of contamination was found. Statistically significant changes in the sex ratio also occurred in Czechoslovakia (or in the Czech Republic) in the past, both before and after the accident. Furthermore, no statistically significant changes in the rate of stillbirths and multiple pregnancies were observed after the Chernobyl accident

Semiconductor statistics

CERN Document Server

Blakemore, J S

1962-01-01

Semiconductor Statistics presents statistics aimed at complementing existing books on the relationships between carrier densities and transport effects. The book is divided into two parts. Part I provides introductory material on the electron theory of solids, and then discusses carrier statistics for semiconductors in thermal equilibrium. Of course a solid cannot be in true thermodynamic equilibrium if any electrical current is passed; but when currents are reasonably small the distribution function is but little perturbed, and the carrier distribution for such a """"quasi-equilibrium"""" co

Statistical Anxiety and Attitudes Towards Statistics: Development of a Comprehensive Danish Instrument

DEFF Research Database (Denmark)

Nielsen, Tine; Kreiner, Svend

Short abstract Motivated by experiencing with students’ psychological barriers for learning statistics we modified and extended the Statistical Anxiety Rating Scale (STARS) to develop a contemporary Danish measure of attitudes and relationship to statistics for use with higher education students...... with evidence of DIF in all cases: One TCA-item functioned differentially relative to age, one WS-item functioned differentially relative to statistics course (first or second), and two IA-items functioned differentially relative to statistics course and academic discipline (sociology, public health...

Perceptions of self, significant others, and teacher-child relationships in indiscriminately friendly children.

Science.gov (United States)

Vervoort, Eleonora; Bosmans, Guy; Doumen, Sarah; Minnis, Helen; Verschueren, Karine

2014-11-01

Despite increasing research on indiscriminate friendliness in children, almost no research exists on social-cognitive deficits that are supposed to underlie indiscriminately friendly behavior. In this study, we compared indiscriminately friendly children with controls regarding their perceptions of self, reliability trust in significant others, and perceptions of the teacher-child relationship. Children's perceptions were compared in two samples: a sample of 33 likely cases for disinhibited reactive attachment disorder (RAD) from special education for children with emotional and behavioral disorders (75.76% boys, Mage=8.52, 96.9% Caucasian, 33.3% and 45.5% of their mothers completed primary or secondary education, respectively) was matched on sex, age, and socio-economic status with a sample of 33 controls from general education. Children participated individually in several interviews assessing global and social self-concept, reliability trust in significant others, teacher-child relationship perceptions, and vocabulary. Parents and teachers completed a screening questionnaire for RAD and the Strengths and Difficulties Questionnaire. Likely disinhibited RAD-cases showed more indiscriminate friendliness and more problem behavior in general according to their parents and teachers than controls. Furthermore, likely RAD-cases reported a more positive global self-concept, more reliability trust in significant others, and more dependency in the teacher-child relationship than controls. The results are in line with clinical observations of indiscriminately friendly children and findings in clinical samples of maltreated or attachment disrupted children but contrast hypotheses from developmental attachment research. Further research is needed to explain the more positive perceptions of indiscriminately friendly children. Copyright © 2014 Elsevier Ltd. All rights reserved.

Rapid Classification and Identification of Multiple Microorganisms with Accurate Statistical Significance via High-Resolution Tandem Mass Spectrometry.

Science.gov (United States)

Alves, Gelio; Wang, Guanghui; Ogurtsov, Aleksey Y; Drake, Steven K; Gucek, Marjan; Sacks, David B; Yu, Yi-Kuo

2018-06-05

Rapid and accurate identification and classification of microorganisms is of paramount importance to public health and safety. With the advance of mass spectrometry (MS) technology, the speed of identification can be greatly improved. However, the increasing number of microbes sequenced is complicating correct microbial identification even in a simple sample due to the large number of candidates present. To properly untwine candidate microbes in samples containing one or more microbes, one needs to go beyond apparent morphology or simple "fingerprinting"; to correctly prioritize the candidate microbes, one needs to have accurate statistical significance in microbial identification. We meet these challenges by using peptide-centric representations of microbes to better separate them and by augmenting our earlier analysis method that yields accurate statistical significance. Here, we present an updated analysis workflow that uses tandem MS (MS/MS) spectra for microbial identification or classification. We have demonstrated, using 226 MS/MS publicly available data files (each containing from 2500 to nearly 100,000 MS/MS spectra) and 4000 additional MS/MS data files, that the updated workflow can correctly identify multiple microbes at the genus and often the species level for samples containing more than one microbe. We have also shown that the proposed workflow computes accurate statistical significances, i.e., E values for identified peptides and unified E values for identified microbes. Our updated analysis workflow MiCId, a freely available software for Microorganism Classification and Identification, is available for download at https://www.ncbi.nlm.nih.gov/CBBresearch/Yu/downloads.html . Graphical Abstract ᅟ.

Relationship between self-efficacy, academic achievement and ...

African Journals Online (AJOL)

50.08), and there is no significant difference in their self-efficacy between sexes (t (98) = 0.161, p> 0.1), but there is a statistically significant difference in achievement between sexes (t (98) = 0.68, p< 0.1) and also a significant relationship exists ...

The relationship between Prostate CAncer gene 3 (PCA3) and prostate cancer significance

NARCIS (Netherlands)

van Poppel, Hein; Haese, Alexander; Graefen, Markus; de la Taille, Alexandre; Irani, Jacques; de Reijke, Theo; Remzi, Mesut; Marberger, Michael

2012-01-01

OBJECTIVE To evaluate the relationship between Prostate CAncer gene 3 (PCA3) and prostate cancer significance. PATIENTS AND METHODS Clinical data from two multi-centre European open-label, prospective studies evaluating the clinical utility of the PCA3 assay in guiding initial and repeat biopsy

The relationship between the number of loci and the statistical support for the topology of UPGMA trees obtained from genetic distance data.

Science.gov (United States)

Highton, R

1993-12-01

An analysis of the relationship between the number of loci utilized in an electrophoretic study of genetic relationships and the statistical support for the topology of UPGMA trees is reported for two published data sets. These are Highton and Larson (Syst. Zool.28:579-599, 1979), an analysis of the relationships of 28 species of plethodonine salamanders, and Hedges (Syst. Zool., 35:1-21, 1986), a similar study of 30 taxa of Holarctic hylid frogs. As the number of loci increases, the statistical support for the topology at each node in UPGMA trees was determined by both the bootstrap and jackknife methods. The results show that the bootstrap and jackknife probabilities supporting the topology at some nodes of UPGMA trees increase as the number of loci utilized in a study is increased, as expected for nodes that have groupings that reflect phylogenetic relationships. The pattern of increase varies and is especially rapid in the case of groups with no close relatives. At nodes that likely do not represent correct phylogenetic relationships, the bootstrap probabilities do not increase and often decline with the addition of more loci.

Assessing Statistically Significant Heavy-Metal Concentrations in Abandoned Mine Areas via Hot Spot Analysis of Portable XRF Data.

Science.gov (United States)

Kim, Sung-Min; Choi, Yosoon

2017-06-18

To develop appropriate measures to prevent soil contamination in abandoned mining areas, an understanding of the spatial variation of the potentially toxic trace elements (PTEs) in the soil is necessary. For the purpose of effective soil sampling, this study uses hot spot analysis, which calculates a z -score based on the Getis-Ord Gi* statistic to identify a statistically significant hot spot sample. To constitute a statistically significant hot spot, a feature with a high value should also be surrounded by other features with high values. Using relatively cost- and time-effective portable X-ray fluorescence (PXRF) analysis, sufficient input data are acquired from the Busan abandoned mine and used for hot spot analysis. To calibrate the PXRF data, which have a relatively low accuracy, the PXRF analysis data are transformed using the inductively coupled plasma atomic emission spectrometry (ICP-AES) data. The transformed PXRF data of the Busan abandoned mine are classified into four groups according to their normalized content and z -scores: high content with a high z -score (HH), high content with a low z -score (HL), low content with a high z -score (LH), and low content with a low z -score (LL). The HL and LH cases may be due to measurement errors. Additional or complementary surveys are required for the areas surrounding these suspect samples or for significant hot spot areas. The soil sampling is conducted according to a four-phase procedure in which the hot spot analysis and proposed group classification method are employed to support the development of a sampling plan for the following phase. Overall, 30, 50, 80, and 100 samples are investigated and analyzed in phases 1-4, respectively. The method implemented in this case study may be utilized in the field for the assessment of statistically significant soil contamination and the identification of areas for which an additional survey is required.

Assessing Statistically Significant Heavy-Metal Concentrations in Abandoned Mine Areas via Hot Spot Analysis of Portable XRF Data

Directory of Open Access Journals (Sweden)

Sung-Min Kim

2017-06-01

Full Text Available To develop appropriate measures to prevent soil contamination in abandoned mining areas, an understanding of the spatial variation of the potentially toxic trace elements (PTEs in the soil is necessary. For the purpose of effective soil sampling, this study uses hot spot analysis, which calculates a z-score based on the Getis-Ord Gi* statistic to identify a statistically significant hot spot sample. To constitute a statistically significant hot spot, a feature with a high value should also be surrounded by other features with high values. Using relatively cost- and time-effective portable X-ray fluorescence (PXRF analysis, sufficient input data are acquired from the Busan abandoned mine and used for hot spot analysis. To calibrate the PXRF data, which have a relatively low accuracy, the PXRF analysis data are transformed using the inductively coupled plasma atomic emission spectrometry (ICP-AES data. The transformed PXRF data of the Busan abandoned mine are classified into four groups according to their normalized content and z-scores: high content with a high z-score (HH, high content with a low z-score (HL, low content with a high z-score (LH, and low content with a low z-score (LL. The HL and LH cases may be due to measurement errors. Additional or complementary surveys are required for the areas surrounding these suspect samples or for significant hot spot areas. The soil sampling is conducted according to a four-phase procedure in which the hot spot analysis and proposed group classification method are employed to support the development of a sampling plan for the following phase. Overall, 30, 50, 80, and 100 samples are investigated and analyzed in phases 1–4, respectively. The method implemented in this case study may be utilized in the field for the assessment of statistically significant soil contamination and the identification of areas for which an additional survey is required.

Statistical Relationship between Sawtooth Oscillations and Geomagnetic Storms

Directory of Open Access Journals (Sweden)

Jae-Hun Kim

2008-06-01

Full Text Available We have investigated a statistical relationship between sawtooth oscillations and geomagnetic storms during 2000-2004. First of all we selected a total of 154 geomagnetic storms based on the Dst index, and distinguished between different drivers such as Coronal Mass Ejection (CME and Co-rotating Interaction Region (CIR. Also, we identified a total of 48 sawtooth oscillation events based on geosynchronous energetic particle data for the same 2000-2004 period. We found that out of the 154 storms identified, 47 storms indicated the presence of sawtooth oscillations. Also, all but one sawtooth event identified occurred during a geomagnetic storm interval. It was also found that sawtooth oscillation events occur more frequently for storms driven by CME (˜62% than for storms driven by CIR (˜30%. In addition, sawtooth oscillations occurred mainly (˜82% in the main phase of storms for CME-driven storms while they occurred mostly (˜78% during the storm recovery phase for CIR-driven storms. Next we have examined the average characteristics of the Bz component of IMF, and solar wind speed, which were the main components for driving geomagnetic storm. We found that for most of the sawtooth events, the IMF Bz corresponds to --15 to 0 nT and the solar wind speed was in the range of 400˜700 km/s. We found that there was a weak tendency that the number of teeth for a given sawtooth event interval was proportional to the southward IMF Bz magnitude.

Statistical analyses in the study of solar wind-magnetosphere coupling

International Nuclear Information System (INIS)

Baker, D.N.

1985-01-01

Statistical analyses provide a valuable method for establishing initially the existence (or lack of existence) of a relationship between diverse data sets. Statistical methods also allow one to make quantitative assessments of the strengths of observed relationships. This paper reviews the essential techniques and underlying statistical bases for the use of correlative methods in solar wind-magnetosphere coupling studies. Techniques of visual correlation and time-lagged linear cross-correlation analysis are emphasized, but methods of multiple regression, superposed epoch analysis, and linear prediction filtering are also described briefly. The long history of correlation analysis in the area of solar wind-magnetosphere coupling is reviewed with the assessments organized according to data averaging time scales (minutes to years). It is concluded that these statistical methods can be very useful first steps, but that case studies and various advanced analysis methods should be employed to understand fully the average response of the magnetosphere to solar wind input. It is clear that many workers have not always recognized underlying assumptions of statistical methods and thus the significance of correlation results can be in doubt. Long-term averages (greater than or equal to 1 hour) can reveal gross relationships, but only when dealing with high-resolution data (1 to 10 min) can one reach conclusions pertinent to magnetospheric response time scales and substorm onset mechanisms

Equilibrium statistical mechanics

CERN Document Server

Jackson, E Atlee

2000-01-01

Ideal as an elementary introduction to equilibrium statistical mechanics, this volume covers both classical and quantum methodology for open and closed systems. Introductory chapters familiarize readers with probability and microscopic models of systems, while additional chapters describe the general derivation of the fundamental statistical mechanics relationships. The final chapter contains 16 sections, each dealing with a different application, ordered according to complexity, from classical through degenerate quantum statistical mechanics. Key features include an elementary introduction t

Statistically significant faunal differences among Middle Ordovician age, Chickamauga Group bryozoan bioherms, central Alabama

Energy Technology Data Exchange (ETDEWEB)

Crow, C.J.

1985-01-01

Middle Ordovician age Chickamauga Group carbonates crop out along the Birmingham and Murphrees Valley anticlines in central Alabama. The macrofossil contents on exposed surfaces of seven bioherms have been counted to determine their various paleontologic characteristics. Twelve groups of organisms are present in these bioherms. Dominant organisms include bryozoans, algae, brachiopods, sponges, pelmatozoans, stromatoporoids and corals. Minor accessory fauna include predators, scavengers and grazers such as gastropods, ostracods, trilobites, cephalopods and pelecypods. Vertical and horizontal niche zonation has been detected for some of the bioherm dwelling fauna. No one bioherm of those studied exhibits all 12 groups of organisms; rather, individual bioherms display various subsets of the total diversity. Statistical treatment (G-test) of the diversity data indicates a lack of statistical homogeneity of the bioherms, both within and between localities. Between-locality population heterogeneity can be ascribed to differences in biologic responses to such gross environmental factors as water depth and clarity, and energy levels. At any one locality, gross aspects of the paleoenvironments are assumed to have been more uniform. Significant differences among bioherms at any one locality may have resulted from patchy distribution of species populations, differential preservation and other factors.

Detecting Statistically Significant Communities of Triangle Motifs in Undirected Networks

Science.gov (United States)

2016-04-26

Systems, Statistics & Management Science, University of Alabama, USA. 1 DISTRIBUTION A: Distribution approved for public release. Contents 1 Summary 5...13 5 Application to Real Networks 18 5.1 2012 FBS Football Schedule Network... football schedule network. . . . . . . . . . . . . . . . . . . . . . 21 14 Stem plot of degree-ordered vertices versus the degree for college football

Statistical significant changes in ground thermal conditions of alpine Austria during the last decade

Science.gov (United States)

Kellerer-Pirklbauer, Andreas

2016-04-01

Longer data series (e.g. >10 a) of ground temperatures in alpine regions are helpful to improve the understanding regarding the effects of present climate change on distribution and thermal characteristics of seasonal frost- and permafrost-affected areas. Beginning in 2004 - and more intensively since 2006 - a permafrost and seasonal frost monitoring network was established in Central and Eastern Austria by the University of Graz. This network consists of c.60 ground temperature (surface and near-surface) monitoring sites which are located at 1922-3002 m a.s.l., at latitude 46°55'-47°22'N and at longitude 12°44'-14°41'E. These data allow conclusions about general ground thermal conditions, potential permafrost occurrence, trend during the observation period, and regional pattern of changes. Calculations and analyses of several different temperature-related parameters were accomplished. At an annual scale a region-wide statistical significant warming during the observation period was revealed by e.g. an increase in mean annual temperature values (mean, maximum) or the significant lowering of the surface frost number (F+). At a seasonal scale no significant trend of any temperature-related parameter was in most cases revealed for spring (MAM) and autumn (SON). Winter (DJF) shows only a weak warming. In contrast, the summer (JJA) season reveals in general a significant warming as confirmed by several different temperature-related parameters such as e.g. mean seasonal temperature, number of thawing degree days, number of freezing degree days, or days without night frost. On a monthly basis August shows the statistically most robust and strongest warming of all months, although regional differences occur. Despite the fact that the general ground temperature warming during the last decade is confirmed by the field data in the study region, complications in trend analyses arise by temperature anomalies (e.g. warm winter 2006/07) or substantial variations in the winter

Statistics Anxiety and Instructor Immediacy

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Williams, Amanda S.

2010-01-01

The purpose of this study was to investigate the relationship between instructor immediacy and statistics anxiety. It was predicted that students receiving immediacy would report lower levels of statistics anxiety. Using a pretest-posttest-control group design, immediacy was measured using the Instructor Immediacy scale. Statistics anxiety was…

Conducting tests for statistically significant differences using forest inventory data

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James A. Westfall; Scott A. Pugh; John W. Coulston

2013-01-01

Many forest inventory and monitoring programs are based on a sample of ground plots from which estimates of forest resources are derived. In addition to evaluating metrics such as number of trees or amount of cubic wood volume, it is often desirable to make comparisons between resource attributes. To properly conduct statistical tests for differences, it is imperative...

Relationship between perceptual learning in speech and statistical learning in younger and older adults

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Thordis Marisa Neger

2014-09-01

Full Text Available Within a few sentences, listeners learn to understand severely degraded speech such as noise-vocoded speech. However, individuals vary in the amount of such perceptual learning and it is unclear what underlies these differences. The present study investigates whether perceptual learning in speech relates to statistical learning, as sensitivity to probabilistic information may aid identification of relevant cues in novel speech input. If statistical learning and perceptual learning (partly draw on the same general mechanisms, then statistical learning in a non-auditory modality using non-linguistic sequences should predict adaptation to degraded speech.In the present study, 73 older adults (aged over 60 years and 60 younger adults (aged between 18 and 30 years performed a visual artificial grammar learning task and were presented with sixty meaningful noise-vocoded sentences in an auditory recall task. Within age groups, sentence recognition performance over exposure was analyzed as a function of statistical learning performance, and other variables that may predict learning (i.e., hearing, vocabulary, attention switching control, working memory and processing speed. Younger and older adults showed similar amounts of perceptual learning, but only younger adults showed significant statistical learning. In older adults, improvement in understanding noise-vocoded speech was constrained by age. In younger adults, amount of adaptation was associated with lexical knowledge and with statistical learning ability. Thus, individual differences in general cognitive abilities explain listeners' variability in adapting to noise-vocoded speech. Results suggest that perceptual and statistical learning share mechanisms of implicit regularity detection, but that the ability to detect statistical regularities is impaired in older adults if visual sequences are presented quickly.

Relationship and significance of gait deviations associated with limb length discrepancy: A systematic review.

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Khamis, Sam; Carmeli, Eli

2017-09-01

Controversy still exists as to the clinical significance of leg length discrepancy (LLD) in spite of the fact that further evidence has been emerging regarding the relationship between several clinical conditions and LLD. The objectives of our study were to review the available research with regard to LLD as a cause of clinically significant gait deviations, to determine if there is a relationship between the magnitude of LLD and the presence of gait deviations and to identify the most common gait deviations associated with LLD. In line with the PRISMA guidelines, a literature search was carried out throughout the Medline, CINAHL and EMBASE databases. Twelve articles met the predetermined inclusion criteria and were included in the review. Quality assessment using the Methodological Index for Non-Randomized Studies (MINORS) scale was completed for all included studies. Two main methodologies were found in 4 studies evaluating gait asymmetry in patients or healthy participants with anatomic LLD and 8 studies evaluating gait deviations while simulating LLD by employing artificial lifts of 1-5cm on healthy subjects. A significant relationship was found between anatomic LLD and gait deviation. Evidence suggests that gait deviations may occur with discrepancies of >1cm, with greater impact seen as the discrepancy increases. Compensatory strategies were found to occur in both the shorter and longer limb, throughout the lower limb. As the discrepancy increases, more compensatory strategies occur. Sagittal plane deviations seem to be the most effective deviations, although, frontal plane compensations also occur in the pelvis, hip and foot. Copyright © 2017 Elsevier B.V. All rights reserved.

BLAT2DOLite: An Online System for Identifying Significant Relationships between Genetic Sequences and Diseases.

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Liang Cheng

Full Text Available The significantly related diseases of sequences could play an important role in understanding the functions of these sequences. In this paper, we introduced BLAT2DOLite, an online system for annotating human genes and diseases and identifying the significant relationships between sequences and diseases. Currently, BLAT2DOLite integrates Entrez Gene database and Disease Ontology Lite (DOLite, which contain loci of gene and relationships between genes and diseases. It utilizes hypergeometric test to calculate P-values between genes and diseases of DOLite. The system can be accessed from: http://123.59.132.21:8080/BLAT2DOLite. The corresponding web service is described in: http://123.59.132.21:8080/BLAT2DOLite/BLAT2DOLiteIDMappingPort?wsdl.

Statistical inference

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Rohatgi, Vijay K

2003-01-01

Unified treatment of probability and statistics examines and analyzes the relationship between the two fields, exploring inferential issues. Numerous problems, examples, and diagrams--some with solutions--plus clear-cut, highlighted summaries of results. Advanced undergraduate to graduate level. Contents: 1. Introduction. 2. Probability Model. 3. Probability Distributions. 4. Introduction to Statistical Inference. 5. More on Mathematical Expectation. 6. Some Discrete Models. 7. Some Continuous Models. 8. Functions of Random Variables and Random Vectors. 9. Large-Sample Theory. 10. General Meth

Relationship with Parents and Coping Strategies in Adolescents of Lima

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Tomás P. Caycho

2016-04-01

Full Text Available This correlational and comparative study aims to determine the relationship between the perception of the relationship with parents and coping strategies in a sample of 320 students chosen through a non-probabilistic sampling of 156 men (48.75% and 164 women (51.25%. To that end, information gathering instruments like the Children’s Report of Parental Behavior Inventory and Adolescent Coping Scale were used. The results suggest that there are statistically significant correlations between some dimensions of perception of the relationship with parents and coping strategies in the sample studied. Finally, with regard to the perception of parenting styles of both mother and father, we see no significant differences between men and women, except for the extreme autonomy of the father, in which men score higher than women. There were no some statistically significant differences in the analysis of coping strategies in the sample in relation to gender.

Sunspot activity and influenza pandemics: a statistical assessment of the purported association.

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Towers, S

2017-10-01

Since 1978, a series of papers in the literature have claimed to find a significant association between sunspot activity and the timing of influenza pandemics. This paper examines these analyses, and attempts to recreate the three most recent statistical analyses by Ertel (1994), Tapping et al. (2001), and Yeung (2006), which all have purported to find a significant relationship between sunspot numbers and pandemic influenza. As will be discussed, each analysis had errors in the data. In addition, in each analysis arbitrary selections or assumptions were also made, and the authors did not assess the robustness of their analyses to changes in those arbitrary assumptions. Varying the arbitrary assumptions to other, equally valid, assumptions negates the claims of significance. Indeed, an arbitrary selection made in one of the analyses appears to have resulted in almost maximal apparent significance; changing it only slightly yields a null result. This analysis applies statistically rigorous methodology to examine the purported sunspot/pandemic link, using more statistically powerful un-binned analysis methods, rather than relying on arbitrarily binned data. The analyses are repeated using both the Wolf and Group sunspot numbers. In all cases, no statistically significant evidence of any association was found. However, while the focus in this particular analysis was on the purported relationship of influenza pandemics to sunspot activity, the faults found in the past analyses are common pitfalls; inattention to analysis reproducibility and robustness assessment are common problems in the sciences, that are unfortunately not noted often enough in review.

The distribution of P-values in medical research articles suggested selective reporting associated with statistical significance.

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Perneger, Thomas V; Combescure, Christophe

2017-07-01

Published P-values provide a window into the global enterprise of medical research. The aim of this study was to use the distribution of published P-values to estimate the relative frequencies of null and alternative hypotheses and to seek irregularities suggestive of publication bias. This cross-sectional study included P-values published in 120 medical research articles in 2016 (30 each from the BMJ, JAMA, Lancet, and New England Journal of Medicine). The observed distribution of P-values was compared with expected distributions under the null hypothesis (i.e., uniform between 0 and 1) and the alternative hypothesis (strictly decreasing from 0 to 1). P-values were categorized according to conventional levels of statistical significance and in one-percent intervals. Among 4,158 recorded P-values, 26.1% were highly significant (P values values equal to 1, and (3) about twice as many P-values less than 0.05 compared with those more than 0.05. The latter finding was seen in both randomized trials and observational studies, and in most types of analyses, excepting heterogeneity tests and interaction tests. Under plausible assumptions, we estimate that about half of the tested hypotheses were null and the other half were alternative. This analysis suggests that statistical tests published in medical journals are not a random sample of null and alternative hypotheses but that selective reporting is prevalent. In particular, significant results are about twice as likely to be reported as nonsignificant results. Copyright © 2017 Elsevier Inc. All rights reserved.

The Exploration of the Relationships between the Global Competitiveness, the ICT and Education

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Turkay Yildiz

2016-12-01

Full Text Available Information and Communication Technology (ICT is a key element for development and economic expansion. However, many of the developing countries appear to gain only small fraction of the advantages from the ICT sectors. Indeed, developed countries are taking the most of the advantages and opportunities brought by the use of ICT. Therefore, it is necessary to highlight the essential role and the significant relationship of ICT and education for gaining the competitive advantage. In this regard, this study investigates the complex relationships of some of the global competitiveness indicators of the ICT, education and the business sophistication and innovation factors. In this study, several statistically significant relationships are explored by applying canonical correlation analysis. These findings and significant statistical results are highlighted.

The Relationship between Teamwork and Organizational Trust

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Musab Işık

2015-04-01

Full Text Available The aim of this study is to investigate the relationship between teamwork and organizational trust. In the implementation section the data from the survey of 250 workers is employed in call centers in Erzurum by using relevant statistical methods. Consequently, it is found that there is a positive and significant relationship between teamwork and organizational trust. Thus, the hypothesis of the study is supported as it was expected. Besides, it is found that there are positive and significant relationships between communication, openness to innovation, participation-trust in teamwork and organizational trust, trust in management, trust in co-workers, and trust in workplace.

Conscience in Language Teaching and its Relationship with Language Proficiency and Emotional Intelligence of EFL Teachers

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Sedighe Jalili Kalangestani

2017-01-01

Full Text Available The present study aimed to explore the relationship among Iranian EFL teachers’ language teaching conscience, language proficiency, and emotional intelligence. To this purpose, 82 homogenized language teachers, M.A. students and M.A. holders in TEFL, English literature, and English translation, both males and females, were taken as the participants.  The result of the data analysis showed that there was a statistically significant relationship between the language teaching conscience and the emotional intelligence of Iranian EFL teachers, rs(80 = .83, p < .05, 2. There was also a statistically significant relationship between the language teaching conscience and the language proficiency of Iranian EFL teachers, rs(80 = .59, p < .05. And finally, there was a statistically significant relationship between the emotional intelligence and the language proficiency of Iranian EFL teachers, rs(80 = .52, p < .05. Teacher trainers, researchers in teacher education, and language teachers can benefit from the findings of this study.

The relationship between cerebral infarction on MR and angiographic findings in moyamoya disease: significance of the posterior circulation

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Lee, Eun Ja; Song, Soon Young [College of Medicine, Kwangdong Univ., Koyang (Korea, Republic of); Yu, Won Jong; Jung, So Lyung; Chung, Bong Gak; Kag, Si Won [College of Medicine, The Catholic Univ. of Korea, Seoul (Korea, Republic of); Kim, Man Deuk [College of Medicine, Pochon CHA Univ., Pochon (Korea, Republic of)

2002-06-01

To investigate the relationship between changes in the posterior and anterior circulation, as seen at angiography, and the frequency and extent of cerebral infarction revealed by MR imaging in moyamoya disease. This study involved 34 patients (22 females and 12 males, aged 2-52 years) in whom cerebral angiography revealed the presence of moyamoya disease (bilateral; unilateral= 24:10; total hemispheres=58) and who also underwent brain MR imaging. To evaluate the angiographic findings, we applied each angiographic staging system to the anterior and posterior circulation. Leptomeningeal collateral circulation from the cortical branches of the posterior cerebral artery (PCA) was also assigned one of four grades. At MR imaging, areas of cerebral cortical or subcortical infarction in the hemisphere were divided into six zones. White matter and basal ganglionic infarction, ventricular dilatation, cortical atrophy, and hemorrhagic lesions were also evaluated. To demonstrate the statistical significance of the relationship between the angiographic and the MR findings, both the Mantel-Haenszel chi-square test for trend and the chi-square test were used. The degree of steno-occlusive PCA change correlated significantly with the internal carotid artery (ICA) stage (p<0.0001). As PCA stages advanced, the degree of leptomeningeal collaterals from the PCA decreased significantly (P<0.0001), but ICA stages were not significant (p>0.05). The prevalence of infarction showed significant correlation with the degree of steno-occlusive change in both the ICA and PCA. The degree of cerebral ischemia in moyamoya patients increased proportionally with the severity of PCA stenosis rather than with that of steno-occlusive lesins of the anterior circulation. Infarctions tended to be distributed in the anterior part of the hemisphere at PCA state I or II, while in more advanced PCA lesions, they were also found posteriorly, especially in the territories of the posterior middle cerebral artery

The relationship between procrastination, learning strategies and statistics anxiety among Iranian college students: a canonical correlation analysis.

Science.gov (United States)

Vahedi, Shahrum; Farrokhi, Farahman; Gahramani, Farahnaz; Issazadegan, Ali

2012-01-01

Approximately 66-80%of graduate students experience statistics anxiety and some researchers propose that many students identify statistics courses as the most anxiety-inducing courses in their academic curriculums. As such, it is likely that statistics anxiety is, in part, responsible for many students delaying enrollment in these courses for as long as possible. This paper proposes a canonical model by treating academic procrastination (AP), learning strategies (LS) as predictor variables and statistics anxiety (SA) as explained variables. A questionnaire survey was used for data collection and 246-college female student participated in this study. To examine the mutually independent relations between procrastination, learning strategies and statistics anxiety variables, a canonical correlation analysis was computed. Findings show that two canonical functions were statistically significant. The set of variables (metacognitive self-regulation, source management, preparing homework, preparing for test and preparing term papers) helped predict changes of statistics anxiety with respect to fearful behavior, Attitude towards math and class, Performance, but not Anxiety. These findings could be used in educational and psychological interventions in the context of statistics anxiety reduction.

How to construct the statistic network? An association network of herbaceous

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WenJun Zhang

2012-06-01

Full Text Available In present study I defined a new type of network, the statistic network. The statistic network is a weighted and non-deterministic network. In the statistic network, a connection value, i.e., connection weight, represents connection strength and connection likelihood between two nodes and its absolute value falls in the interval (0,1]. The connection value is expressed as a statistical measure such as correlation coefficient, association coefficient, or Jaccard coefficient, etc. In addition, all connections of the statistic network can be statistically tested for their validity. A connection is true if the connection value is statistically significant. If all connection values of a node are not statistically significant, it is an isolated node. An isolated node has not any connection to other nodes in the statistic network. Positive and negative connection values denote distinct connectiontypes (positive or negative association or interaction. In the statistic network, two nodes with the greater connection value will show more similar trend in the change of their states. At any time we can obtain a sample network of the statistic network. A sample network is a non-weighted and deterministic network. Thestatistic network, in particular the plant association network that constructed from field sampling, is mostly an information network. Most of the interspecific relationships in plant community are competition and cooperation. Therefore in comparison to animal networks, the methodology of statistic network is moresuitable to construct plant association networks. Some conclusions were drawn from this study: (1 in the plant association network, most connections are weak and positive interactions. The association network constructed from Spearman rank correlation has most connections and isolated taxa are fewer. From net linear correlation,linear correlation, to Spearman rank correlation, the practical number of connections and connectance in the

Developing statistical wildlife habitat relationships for assessing cumulative effects of fuels treatments: Final Report for Joint Fire Science Program Project

Science.gov (United States)

Samuel A. Cushman; Kevin S. McKelvey

2006-01-01

The primary weakness in our current ability to evaluate future landscapes in terms of wildlife lies in the lack of quantitative models linking wildlife to forest stand conditions, including fuels treatments. This project focuses on 1) developing statistical wildlife habitat relationships models (WHR) utilizing Forest Inventory and Analysis (FIA) and National Vegetation...

Evaluating statistical tests on OLAP cubes to compare degree of disease.

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Ordonez, Carlos; Chen, Zhibo

2009-09-01

Statistical tests represent an important technique used to formulate and validate hypotheses on a dataset. They are particularly useful in the medical domain, where hypotheses link disease with medical measurements, risk factors, and treatment. In this paper, we propose to compute parametric statistical tests treating patient records as elements in a multidimensional cube. We introduce a technique that combines dimension lattice traversal and statistical tests to discover significant differences in the degree of disease within pairs of patient groups. In order to understand a cause-effect relationship, we focus on patient group pairs differing in one dimension. We introduce several optimizations to prune the search space, to discover significant group pairs, and to summarize results. We present experiments showing important medical findings and evaluating scalability with medical datasets.

Second Language Experience Facilitates Statistical Learning of Novel Linguistic Materials.

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Potter, Christine E; Wang, Tianlin; Saffran, Jenny R

2017-04-01

Recent research has begun to explore individual differences in statistical learning, and how those differences may be related to other cognitive abilities, particularly their effects on language learning. In this research, we explored a different type of relationship between language learning and statistical learning: the possibility that learning a new language may also influence statistical learning by changing the regularities to which learners are sensitive. We tested two groups of participants, Mandarin Learners and Naïve Controls, at two time points, 6 months apart. At each time point, participants performed two different statistical learning tasks: an artificial tonal language statistical learning task and a visual statistical learning task. Only the Mandarin-learning group showed significant improvement on the linguistic task, whereas both groups improved equally on the visual task. These results support the view that there are multiple influences on statistical learning. Domain-relevant experiences may affect the regularities that learners can discover when presented with novel stimuli. Copyright © 2016 Cognitive Science Society, Inc.

The relationship between Exercise and premenstrual syndrome

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Ameneh Safarzadeh

2016-09-01

Full Text Available Premenstrual syndrome (PMS starts during puberty years and it continues to the menopausal period. PMS manifests itself during every monthly luteal stage in the form of a complex of somatic, psychological and behavioral disorders. Exercises such as walking, cycling, swimming and slow running are a few suitable methods for settling down the tension and eliminating the PMS. It is evident that sport in comparison to the therapeutically drugs is free from side effects and it is devoid of any risks. Therefore, the objective of the present study is assessing the relationship between exercises and premenstrual syndrome (PMS. The present descriptive-analytical study has been conducted on 160 students of Zahedan University of Medical Sciences in 2014-2015 academic year. For gathering data a two-section questionnaire was used. The first section was related to the demographic features and the second section pertained to PSTT standard questionnaire. The questionnaires were completed in three consecutive periods of the menstrual cycle by the students based on a self-report method. Gathered data w analyzed by through SPSS 19.0. The statistical tests were used such as the descriptive statistical tests, Chi square and independent samples t-test. The participators’ average age was 21.06 ± 2.19. The subjects did exercise s ( 86 students less than twice a week, did physical activities between 2 and 4 days in a week (44 students and 30 subjects did exercises more than 4 times weekly. They had experiences of dysmenorrhea during their menstrual cycle (120 subjects. There was not observed a significant relationship between age and PMS (P>0.05. The relationship between the individuals citizenship with PMS was statistically significant (P=0.04. The relationship between sport and PMS in three measured periods was statistically significant (P<0.05. The results obtained from the present study indicated that doing regular physical exercises and continuous sport can be

An Exploration of the Perceived Usefulness of the Introductory Statistics Course and Students’ Intentions to Further Engage in Statistics

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Rossi Hassad

2018-01-01

Full Text Available Students� attitude, including perceived usefulness, is generally associated with academic success. The related research in statistics education has focused almost exclusively on the role of attitude in explaining and predicting academic learning outcomes, hence there is a paucity of research evidence on how attitude (particularly perceived usefulness impacts students� intentions to use and stay engaged in statistics beyond the introductory course. This study explored the relationship between college students� perception of the usefulness of an introductory statistics course, their beliefs about where statistics will be most useful, and their intentions to take another statistics course. A cross-sectional study of 106 students was conducted. The mean rating for usefulness was 4.7 (out of 7, with no statistically significant differences based on gender and age. Sixty-four percent reported that they would consider taking another statistics course, and this subgroup rated the course as more useful (p = .01. The majority (67% reported that statistics would be most useful for either graduate school or research, whereas 14% indicated their job, and 19% were undecided. The �undecided� students had the lowest mean rating for usefulness of the course (p = .001. Addressing data, in the context of real-world problem-solving and decision-making, could facilitate students to better appreciate the usefulness and practicality of statistics. Qualitative research methods could help to elucidate these findings.

WAEC Statistics Division Lagos. Relationship between Senior

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Relationship between Senior School Physics Students' Perceptions of ... Teacher's management abilities prevent disturbances by encouraging cooperation .... Dealing with pupils with such individual differences in the classroom is a great task for every ... The merits of such workshops cannot be over stressed and money.

The relationship between mean platelet volume and neutrophil/lymphocyte ratio with inflammation and proteinuria in chronic kidney disease

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Gulay Yilmaz

2017-01-01

Full Text Available Atherosclerosis, which develops as a result of inflammation, is the most important cause of morbidity and mortality in chronic kidney disease (CKD. In this study, we investigated the relationship of mean platelet volume (MPV and neutrophil/lymphocyte ratio (NLR with inflammation and proteinuria in patients with CKD Stage 3-4. Healthy individuals who applied to nephrology clinic for checkup purposes acted as controls. Fifty-three patients and 30 healthy controls were included in the study. Patients with diabetes mellitus, active infection, malignancy, and coronary artery disease were excluded from the study. Biochemistry values and hemograms were recorded for all patients and for control group. NLR was calculated. The relationship between MPV/NLR and protein, fibrinogen, and proteinuria was evaluated. Our study showed a statistically significant difference between CKD group and healthy control (HC group in uric acid, fibrinogen, C-reactive protein, and NLR values (P <0.01, P <0.01, P = 0.01, P <0.01, respectively. No statistically significant difference was found between CKD and HC groups for MPV (P = 0.307. Correlation analysis revealed a statistically significant relationship between NLR and creatinine (P <0.00, r = 0.571, uric acid (P <0.00, r = 0.436, glomerular filtration rate (P <0.00, r = −0.418, 24 h urine protein (P = 0.004, r = 0.311, and 24 h urine microalbumin (P = 0.001, r = 0.354. A statistically significant relationship was detected between MPV and platelet count (P <0.001, r = −0.422, age (P = 0.004, r = −0.312, uric acid (P = 0.04, r = −0.226, and fibrinogen (P = 0.023, r = −0.249. Whereas, a statistically significant relationship was detected between NLR and microalbuminuria/proteinuria, there was no statistically significant relationship between MPV and microalbuminuria/proteinuria. Our study showed that the NLR is high in CKD group and is correlated with uric acid and proteinuria, which are known to be associated

Childhood-compared to adolescent-onset bipolar disorder has more statistically significant clinical correlates.

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Holtzman, Jessica N; Miller, Shefali; Hooshmand, Farnaz; Wang, Po W; Chang, Kiki D; Hill, Shelley J; Rasgon, Natalie L; Ketter, Terence A

2015-07-01

The strengths and limitations of considering childhood-and adolescent-onset bipolar disorder (BD) separately versus together remain to be established. We assessed this issue. BD patients referred to the Stanford Bipolar Disorder Clinic during 2000-2011 were assessed with the Systematic Treatment Enhancement Program for BD Affective Disorders Evaluation. Patients with childhood- and adolescent-onset were compared to those with adult-onset for 7 unfavorable bipolar illness characteristics with replicated associations with early-onset patients. Among 502 BD outpatients, those with childhood- (adolescent- (13-18 years, N=218) onset had significantly higher rates for 4/7 unfavorable illness characteristics, including lifetime comorbid anxiety disorder, at least ten lifetime mood episodes, lifetime alcohol use disorder, and prior suicide attempt, than those with adult-onset (>18 years, N=174). Childhood- but not adolescent-onset BD patients also had significantly higher rates of first-degree relative with mood disorder, lifetime substance use disorder, and rapid cycling in the prior year. Patients with pooled childhood/adolescent - compared to adult-onset had significantly higher rates for 5/7 of these unfavorable illness characteristics, while patients with childhood- compared to adolescent-onset had significantly higher rates for 4/7 of these unfavorable illness characteristics. Caucasian, insured, suburban, low substance abuse, American specialty clinic-referred sample limits generalizability. Onset age is based on retrospective recall. Childhood- compared to adolescent-onset BD was more robustly related to unfavorable bipolar illness characteristics, so pooling these groups attenuated such relationships. Further study is warranted to determine the extent to which adolescent-onset BD represents an intermediate phenotype between childhood- and adult-onset BD. Copyright © 2015 Elsevier B.V. All rights reserved.

The Relationship between Teamwork and Organizational Trust

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Musab Isik

2016-01-01

Full Text Available The aim of this study is to investigate the relationship between teamwork and organizational trust. In the implementation section the data from the survey of 250 workers is employed in call centers in Erzurum by using relevant statistical  methods. Consequently, it is found that there is a positive and significant relationship between teamwork and organizational trust. Thus, the hypothesis of the study is supported as it was expected. Besides, it is found that there are positive and significant relationships between communication, openness to innovation, participation-trust in teamwork and organizational trust, trust in management, trust in co-workers, and trust in workplace.

INVESTIGATION OF THE RELATIONSHIP OF THE STATISTICAL MOMENTS OF THE FAT PHASE MASS DISTRIBUTION AND RELAXATION SPECTRA OF DAIRY PRODUCTS

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V. E. Merzlikin

2015-01-01

Full Text Available The article deals with the search for optimal parameter estimation of the parameters of the process of homogenization of dairy products. Provides a theoretical basis for relationship of the relaxation time of the fat globules and attenuation coefficient of ultrasonic oscillations in dairy products. Suggested from the measured acoustic properties of milk to make the calculations of the mass distribution of fat globules. Studies on the proof of this hypothesis. Morphological analysis procedure carried out for homogenized milk samples at different pressures, as well as homogenized. As a result of research obtained distribution histogram of fat globules in dependence on the homogenization pressure. Also performed acoustic studies to obtain the frequency characteristics of loss modulus as a function of homogenization pressure. For further research the choice of method for approximating dependences is obtained using statistical moments of distributions. The parameters for the approximation of the distribution of fat globules and loss modulus versus pressure homogenization were obtained. Was carried out to test the hypothesis on the relationship parameters of approximation of the distribution of the fat globules and loss modulus as a function of pressure homogenization. Correlation analysis showed a clear dependence of the first and second statistical moment distributions of the pressure homogenization. The obtain ed dependence is consistent with the physical meaning of the first two moments of a statistical distribution. Correlation analysis was carried out according to the statistical moments of the distribution of the fat globules from moments of loss modulus. It is concluded that the possibility of ultrasonic testing the degree of homogenization and mass distribution of the fat globules of milk products.

The Relationship Between Procrastination, Learning Strategies and Statistics Anxiety Among Iranian College Students: A Canonical Correlation Analysis

Science.gov (United States)

Vahedi, Shahrum; Farrokhi, Farahman; Gahramani, Farahnaz; Issazadegan, Ali

2012-01-01

Objective: Approximately 66-80%of graduate students experience statistics anxiety and some researchers propose that many students identify statistics courses as the most anxiety-inducing courses in their academic curriculums. As such, it is likely that statistics anxiety is, in part, responsible for many students delaying enrollment in these courses for as long as possible. This paper proposes a canonical model by treating academic procrastination (AP), learning strategies (LS) as predictor variables and statistics anxiety (SA) as explained variables. Methods: A questionnaire survey was used for data collection and 246-college female student participated in this study. To examine the mutually independent relations between procrastination, learning strategies and statistics anxiety variables, a canonical correlation analysis was computed. Results: Findings show that two canonical functions were statistically significant. The set of variables (metacognitive self-regulation, source management, preparing homework, preparing for test and preparing term papers) helped predict changes of statistics anxiety with respect to fearful behavior, Attitude towards math and class, Performance, but not Anxiety. Conclusion: These findings could be used in educational and psychological interventions in the context of statistics anxiety reduction. PMID:24644468

An Empirical Study of the Relationship Among Job Satisfaction, Organizational Commitment and Turnover Intention

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Sinem Aydogdu

2011-01-01

Full Text Available This study conducted on 100 employees from production sector and 82 employees from service provider sector. The relationship among job satisfaction, organizational commitment and turnover intention are investigated to determine statistically significant relations. The results of the study support the hypotheses. Job Satisfaction has a significant and positive relationship with three dimensions of organizational commitment and turnover intention has a significant and negative relationship with job satisfaction and organizational commitment.

Analysis of Relationships between Technological Pedagogical Content Knowledge and Educational Internet Use

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Sahin, Ismail; Celik, Ismail; Akturk, Ahmet Oguz; Aydin, Mustafa

2013-01-01

This study analyzes the relationships between preservice teachers' technological pedagogical content knowledge (TPACK) and their self-efficacy beliefs in educational Internet use. Findings show statistically significant relationships among the knowledge domains in technology, pedagogy, content, and their intersections. Also, results from the…

RELATIONSHIP COMMITMENT, RELATIONAL EQUITY AND COMPANY IMAGE IN CUSTOMER LOYALTY DEVELOPMENT

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DLAČIĆ, JASMINA; ŽABKAR, VESNA

2012-01-01

This paper explores the relationship between customer loyalty and its seldom researched antecedents: relationship commitment, relational equity and company image. The proposed conceptual model is tested with data gained from customers of mobile telephone operators. The results show that relationship commitment and relational equity have a statistically significant positive influence on customer loyalty. In addition, the results of hierarchical multiple regr...

Stress Exposure in Significant Relationships Is Associated with Lymph Node Status in Breast Cancer.

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Chiara Renzi

Full Text Available Life stress exposure may impact on health and disease. Previous literature showed that stressful life events are associated with cancer incidence, survival and mortality. In animal models, patterns of maternal care have been shown to critically affect stress sensitivity and immunity trajectories later in life, by modifying DNA methylation during critical periods early in life. However, the role of parental care in breast cancer progression and survival has only limitedly been explored. Here, we investigated whether these factors may be linked to biological prognostic variables.One hundred twenty-three women hospitalized for surgery of primary breast cancer completed a questionnaire assessing parental bonding. Stressful events throughout the life span were also assessed.We found that the absence of optimal parental relationships is significantly associated with an increased risk of lymph node involvement, adjusting for confounders, while cumulative stress in the area of sentimental relationships is borderline significantly associated with the same prognostic factor.Our results suggest that parental bonding and sentimental relations may have a role in breast cancer progression. These variables represent an important evolutionary aspect which may modulate cancer progression through psycho-physiological stress pathways and influence the immune system.

On the Statistical Dependency of Identity Theft on Demographics

Science.gov (United States)

di Crescenzo, Giovanni

An improved understanding of the identity theft problem is widely agreed to be necessary to succeed in counter-theft efforts in legislative, financial and research institutions. In this paper we report on a statistical study about the existence of relationships between identity theft and area demographics in the US. The identity theft data chosen was the number of citizen complaints to the Federal Trade Commission in a large number of US municipalities. The list of demographics used for any such municipality included: estimated population, median resident age, estimated median household income, percentage of citizens with a high school or higher degree, percentage of unemployed residents, percentage of married residents, percentage of foreign born residents, percentage of residents living in poverty, density of law enforcement employees, crime index, and political orientation according to the 2004 presidential election. Our study findings, based on linear regression techniques, include statistically significant relationships between the number of identity theft complaints and a non-trivial subset of these demographics.

Associations between individual and relationship characteristics and genital herpes disclosure.

Science.gov (United States)

Myers, Jaime L; Buhi, Eric R; Marhefka, Stephanie; Daley, Ellen; Dedrick, Robert

2016-10-01

Disclosure is often a challenge for individuals living with genital herpes. This study explores determinants of genital herpes disclosure with one's most recent sexual partner using an online questionnaire (n = 93). The majority of participants reported (80.4%) disclosure. Among non-disclosers, fear of negative partner reactions was the primary reason for non-disclosure. Age, relationship commitment, time in relationship, and expectations of partner's reaction were statistically significant predictors at the bivariate level. Reaction expectations and relationship commitment remained significant in the multivariate logistic regression model. Findings indicate that future disclosure research should focus on relationship context and managing negative expectations to increase disclosure. © The Author(s) 2015.

Intelligent system for statistically significant expertise knowledge on the basis of the model of self-organizing nonequilibrium dissipative system

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E. A. Tatokchin

2017-01-01

Full Text Available Development of the modern educational technologies caused by broad introduction of comput-er testing and development of distant forms of education does necessary revision of methods of an examination of pupils. In work it was shown, need transition to mathematical criteria, exami-nations of knowledge which are deprived of subjectivity. In article the review of the problems arising at realization of this task and are offered approaches for its decision. The greatest atten-tion is paid to discussion of a problem of objective transformation of rated estimates of the ex-pert on to the scale estimates of the student. In general, the discussion this question is was con-cluded that the solution to this problem lies in the creation of specialized intellectual systems. The basis for constructing intelligent system laid the mathematical model of self-organizing nonequilibrium dissipative system, which is a group of students. This article assumes that the dissipative system is provided by the constant influx of new test items of the expert and non-equilibrium – individual psychological characteristics of students in the group. As a result, the system must self-organize themselves into stable patterns. This patern will allow for, relying on large amounts of data, get a statistically significant assessment of student. To justify the pro-posed approach in the work presents the data of the statistical analysis of the results of testing a large sample of students (> 90. Conclusions from this statistical analysis allowed to develop intelligent system statistically significant examination of student performance. It is based on data clustering algorithm (k-mean for the three key parameters. It is shown that this approach allows you to create of the dynamics and objective expertise evaluation.

Relationship between teacher preparedness and inquiry-based instructional practices to students' science achievement: Evidence from TIMSS 2007

Science.gov (United States)

Martin, Lynn A.

The purpose of this study was to examine the relationship between teachers' self-reported preparedness for teaching science content and their instructional practices to the science achievement of eighth grade science students in the United States as demonstrated by TIMSS 2007. Six hundred eighty-seven eighth grade science teachers in the United States representing 7,377 students responded to the TIMSS 2007 questionnaire about their instructional preparedness and their instructional practices. Quantitative data were reported. Through correlation analysis, the researcher found statistically significant positive relationships emerge between eighth grade science teachers' main area of study and their self-reported beliefs about their preparedness to teach that same content area. Another correlation analysis found a statistically significant negative relationship existed between teachers' self-reported use of inquiry-based instruction and preparedness to teach chemistry, physics and earth science. Another correlation analysis discovered a statistically significant positive relationship existed between physics preparedness and student science achievement. Finally, a correlation analysis found a statistically significant positive relationship existed between science teachers' self-reported implementation of inquiry-based instructional practices and student achievement. The data findings support the conclusion that teachers who have feelings of preparedness to teach science content and implement more inquiry-based instruction and less didactic instruction produce high achieving science students. As science teachers obtain the appropriate knowledge in science content and pedagogy, science teachers will feel prepared and will implement inquiry-based instruction in science classrooms.

A comparison of cephalometric analyses for assessing sagittal jaw relationship

International Nuclear Information System (INIS)

Erum, G.; Fida, M.

2008-01-01

To compare the seven methods of cephalometric analysis for assessing sagittal jaw relationship and to determine the level of agreement between them. Seven methods, describing anteroposterior jaw relationships (A-B plane, ANB, Wits, AXB, AF-BF, FABA and Beta angle) were measured on the lateral cephalographs of 85 patients. Correlation analysis, using Cramer's V-test, was performed to determine the possible agreement between the pair of analyses. The mean age of the sample, comprising 35 males and 50 females was 15 years and 3 months. Statistically significant relationships were found among seven sagittal parameters with p-value <0.001. Very strong correlation was found between AXB and AF-BF distance (r=0.924); and weak correlation between ANB and Beta angle (r=0.377). Wits appraisal showed the greatest coefficient of variability. Despite varying strengths of association, statistically significant correlations were found among seven methods for assessing sagittal jaw relationship. FABA and A-B plane may be used to predict the skeletal class in addition to the established ANB angle. (author)

The Importance of Integrating Clinical Relevance and Statistical Significance in the Assessment of Quality of Care--Illustrated Using the Swedish Stroke Register.

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Anita Lindmark

Full Text Available When profiling hospital performance, quality inicators are commonly evaluated through hospital-specific adjusted means with confidence intervals. When identifying deviations from a norm, large hospitals can have statistically significant results even for clinically irrelevant deviations while important deviations in small hospitals can remain undiscovered. We have used data from the Swedish Stroke Register (Riksstroke to illustrate the properties of a benchmarking method that integrates considerations of both clinical relevance and level of statistical significance.The performance measure used was case-mix adjusted risk of death or dependency in activities of daily living within 3 months after stroke. A hospital was labeled as having outlying performance if its case-mix adjusted risk exceeded a benchmark value with a specified statistical confidence level. The benchmark was expressed relative to the population risk and should reflect the clinically relevant deviation that is to be detected. A simulation study based on Riksstroke patient data from 2008-2009 was performed to investigate the effect of the choice of the statistical confidence level and benchmark value on the diagnostic properties of the method.Simulations were based on 18,309 patients in 76 hospitals. The widely used setting, comparing 95% confidence intervals to the national average, resulted in low sensitivity (0.252 and high specificity (0.991. There were large variations in sensitivity and specificity for different requirements of statistical confidence. Lowering statistical confidence improved sensitivity with a relatively smaller loss of specificity. Variations due to different benchmark values were smaller, especially for sensitivity. This allows the choice of a clinically relevant benchmark to be driven by clinical factors without major concerns about sufficiently reliable evidence.The study emphasizes the importance of combining clinical relevance and level of statistical

The Importance of Integrating Clinical Relevance and Statistical Significance in the Assessment of Quality of Care--Illustrated Using the Swedish Stroke Register.

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Lindmark, Anita; van Rompaye, Bart; Goetghebeur, Els; Glader, Eva-Lotta; Eriksson, Marie

2016-01-01

When profiling hospital performance, quality inicators are commonly evaluated through hospital-specific adjusted means with confidence intervals. When identifying deviations from a norm, large hospitals can have statistically significant results even for clinically irrelevant deviations while important deviations in small hospitals can remain undiscovered. We have used data from the Swedish Stroke Register (Riksstroke) to illustrate the properties of a benchmarking method that integrates considerations of both clinical relevance and level of statistical significance. The performance measure used was case-mix adjusted risk of death or dependency in activities of daily living within 3 months after stroke. A hospital was labeled as having outlying performance if its case-mix adjusted risk exceeded a benchmark value with a specified statistical confidence level. The benchmark was expressed relative to the population risk and should reflect the clinically relevant deviation that is to be detected. A simulation study based on Riksstroke patient data from 2008-2009 was performed to investigate the effect of the choice of the statistical confidence level and benchmark value on the diagnostic properties of the method. Simulations were based on 18,309 patients in 76 hospitals. The widely used setting, comparing 95% confidence intervals to the national average, resulted in low sensitivity (0.252) and high specificity (0.991). There were large variations in sensitivity and specificity for different requirements of statistical confidence. Lowering statistical confidence improved sensitivity with a relatively smaller loss of specificity. Variations due to different benchmark values were smaller, especially for sensitivity. This allows the choice of a clinically relevant benchmark to be driven by clinical factors without major concerns about sufficiently reliable evidence. The study emphasizes the importance of combining clinical relevance and level of statistical confidence when

The mediating effect of calling on the relationship between medical school students' academic burnout and empathy.

Science.gov (United States)

Chae, Su Jin; Jeong, So Mi; Chung, Yoon-Sok

2017-09-01

This study is aimed at identifying the relationships between medical school students' academic burnout, empathy, and calling, and determining whether their calling has a mediating effect on the relationship between academic burnout and empathy. A mixed method study was conducted. One hundred twenty-seven medical students completed a survey. Scales measuring academic burnout, medical students' empathy, and calling were utilized. For statistical analysis, correlation analysis, descriptive statistics analysis, and hierarchical multiple regression analyses were conducted. For qualitative approach, eight medical students participated in a focus group interview. The study found that empathy has a statistically significant, negative correlation with academic burnout, while having a significant, positive correlation with calling. Sense of calling proved to be an effective mediator of the relationship between academic burnout and empathy. This result demonstrates that calling is a key variable that mediates the relationship between medical students' academic burnout and empathy. As such, this study provides baseline data for an education that could improve medical students' empathy skills.

Estimates of statistical significance for comparison of individual positions in multiple sequence alignments

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Sadreyev Ruslan I

2004-08-01

Full Text Available Abstract Background Profile-based analysis of multiple sequence alignments (MSA allows for accurate comparison of protein families. Here, we address the problems of detecting statistically confident dissimilarities between (1 MSA position and a set of predicted residue frequencies, and (2 between two MSA positions. These problems are important for (i evaluation and optimization of methods predicting residue occurrence at protein positions; (ii detection of potentially misaligned regions in automatically produced alignments and their further refinement; and (iii detection of sites that determine functional or structural specificity in two related families. Results For problems (1 and (2, we propose analytical estimates of P-value and apply them to the detection of significant positional dissimilarities in various experimental situations. (a We compare structure-based predictions of residue propensities at a protein position to the actual residue frequencies in the MSA of homologs. (b We evaluate our method by the ability to detect erroneous position matches produced by an automatic sequence aligner. (c We compare MSA positions that correspond to residues aligned by automatic structure aligners. (d We compare MSA positions that are aligned by high-quality manual superposition of structures. Detected dissimilarities reveal shortcomings of the automatic methods for residue frequency prediction and alignment construction. For the high-quality structural alignments, the dissimilarities suggest sites of potential functional or structural importance. Conclusion The proposed computational method is of significant potential value for the analysis of protein families.

Test the Overall Significance of p-values by Using Joint Tail Probability of Ordered p-values as Test Statistic

NARCIS (Netherlands)

Fang, Yongxiang; Wit, Ernst

2008-01-01

Fisher’s combined probability test is the most commonly used method to test the overall significance of a set independent p-values. However, it is very obviously that Fisher’s statistic is more sensitive to smaller p-values than to larger p-value and a small p-value may overrule the other p-values

Noise level and MPEG-2 encoder statistics

Science.gov (United States)

Lee, Jungwoo

1997-01-01

Most software in the movie and broadcasting industries are still in analog film or tape format, which typically contains random noise that originated from film, CCD camera, and tape recording. The performance of the MPEG-2 encoder may be significantly degraded by the noise. It is also affected by the scene type that includes spatial and temporal activity. The statistical property of noise originating from camera and tape player is analyzed and the models for the two types of noise are developed. The relationship between the noise, the scene type, and encoder statistics of a number of MPEG-2 parameters such as motion vector magnitude, prediction error, and quant scale are discussed. This analysis is intended to be a tool for designing robust MPEG encoding algorithms such as preprocessing and rate control.

A proposed relationship between pH and ascorbic acid content of ...

African Journals Online (AJOL)

A relationship between the ascorbic acid content of fresh squeezed juice of orange, lemon, grape and lime and the pH was presented. The relationship established were statistically compared with those obtained by the 2,6 dichlorophenol indophenol titration method. It was shown that they do not differ significantly (p≥0.05) ...

Statistical determination of significant curved I-girder bridge seismic response parameters

Science.gov (United States)

Seo, Junwon

2013-06-01

Curved steel bridges are commonly used at interchanges in transportation networks and more of these structures continue to be designed and built in the United States. Though the use of these bridges continues to increase in locations that experience high seismicity, the effects of curvature and other parameters on their seismic behaviors have been neglected in current risk assessment tools. These tools can evaluate the seismic vulnerability of a transportation network using fragility curves. One critical component of fragility curve development for curved steel bridges is the completion of sensitivity analyses that help identify influential parameters related to their seismic response. In this study, an accessible inventory of existing curved steel girder bridges located primarily in the Mid-Atlantic United States (MAUS) was used to establish statistical characteristics used as inputs for a seismic sensitivity study. Critical seismic response quantities were captured using 3D nonlinear finite element models. Influential parameters from these quantities were identified using statistical tools that incorporate experimental Plackett-Burman Design (PBD), which included Pareto optimal plots and prediction profiler techniques. The findings revealed that the potential variation in the influential parameters included number of spans, radius of curvature, maximum span length, girder spacing, and cross-frame spacing. These parameters showed varying levels of influence on the critical bridge response.

Dyslipidemia and its relationship with antiphospholipid antibodies in APS patients in North Kerala.

Science.gov (United States)

Sadanand, Shajit; Paul, Binoy J; Thachil, Emil J; Meletath, Rejadheesh

2016-12-01

Antiphospholipid antibody syndrome (APS) is one of the most common acquired thrombophilic disorders resulting in arterial and venous thromboses. APS is a major cause for cerebrovascular accidents or stokes, myocardial infarction, venous thromboembolism and recurrent abortions/pregnancy losses especially in young patients. APS patients have an increased risk of atherosclerotic cardiovascular events. There are only two studies on lipid abnormalities in APS patients. None of them have studied the relationship between individual laboratory tests for APS and lipid profile abnormalities. Here we describe the significance of the relationship between various APS tests and lipid profile abnormalities in a subset of APS patients who presented with arterial thrombosis in a tertiary care hospital. The study was conducted at Government Medical College, which is a tertiary care referral hospital. All patients who presented to the medicine department with APS during a two-year period were studied. A patient was considered to be positive for anticardiolipin (aCL) antibody or anti-β2 glycoprotein (anti-β2G) if the titer was more than 15 IU/mL, and a high titer was considered to be more than 40 IU/mL for Immunoglobulin (lg) IgG and IgM isotypes. The fasting lipid profile was measured in all patients, and lipid profile abnormalities were defined with cutoffs of low-density lipoprotein (LDL) levels of >150 mg/dL, triglyceride (TG) levels of >150 mg/dL, and high-density lipoprotein (HDL) levels of APS, aCL IgG and IgM and anti-β2G IgG and IgM, were determined by statistical analysis. The study population included 77 APS patients, with 53% of patients between 20 and 40 years. The commonest abnormality in the lipid profile test was elevated TG levels of >150 mg/dL in 51.9% of the patients, followed by low HDL levels (150 mg/dL) in 40.2% of the patients. There was a statistically significant relationship between anti-β2G IgG levels and HDL and LDL levels, but not TG levels. Only LDL

Job satisfaction and horizontal violence in hospital staff registered nurses: the mediating role of peer relationships.

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Purpora, Christina; Blegen, Mary A

2015-08-01

To describe the association between horizontal violence and job satisfaction in hospital staff registered nurses and the degree to which peer relationships mediates the relationship. Additionally, the association between nurse and work characteristics and job satisfaction were determined. Horizontal violence is a major predictor of nurses' job satisfaction. Yet, not enough is known about the relationship between these variables. Job satisfaction is an important variable to study because it is a predictor of patient care quality and safety internationally. Peer relationships, a job satisfier for nurses, was identified as a potential mediator in the association between horizontal violence and job satisfaction. Cross-sectional mediational model testing. An anonymous four-part survey of a random sample of 175 hospital staff registered nurses working in California provided the data. Data about horizontal violence, peer relationships, job satisfaction, and nurse and work characteristics were collected between March-August 2010. A statistically significant negative relationship was found between horizontal violence and peer relationships, job satisfaction and a statistically significant positive relationship was found between peer relationships and job satisfaction. Peer relationships mediated the association between horizontal violence and job satisfaction. Job satisfaction was reported as higher by nurses who worked in teaching hospitals. There were no statistically significant differences in job satisfaction based on gender, ethnicity, basic registered nurse education, highest degree held, size of hospital or clinical area. The results suggest that peer relationships can attenuate the negative relationship between horizontal violence and job satisfaction. This adds to the extant literature on the relationship between horizontal violence and job satisfaction. The findings highlight peer relationships as an important factor when considering effective interventions that

Investigate The Relationship Between Brand Equity Brand Loyalty And Customer Satisfaction

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Farbod Souri

2017-06-01

Full Text Available The purpose of this study conducted an empirical study in the field of marketing in order to investigate the relationship between brand equity brand loyalty and customer satisfaction in Refah stores in which Nam and colleagues model 2011 have been used. In this model the relationship between brand equity and brand loyalty and customer satisfaction is evaluated. To review research a sample of 384 customers was selected as a stepwise clustering. Data gathered by standard questionnaire with 23 questions that its validity and reliability confirmed and was distributed among the statistical population. Data analysis was performed using descriptive statistics and inferential statistics. At the level of Descriptive statistics indices such as frequency and frequency percentage were used and in inferential statistics correlation methods structural equation modeling path analysis has been done using the spss and lisrel software. The results of the analysis showing the existence of a significant and positive relationship of brand equity on customer satisfaction and loyalty. In general the ability of Refah store to increase customer satisfaction and brand loyalty of customers to Refah brand being associated with the brand equity 050 p.

The relationship between the five-factor model and latent Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition personality disorder dimensions.

Science.gov (United States)

Nestadt, Gerald; Costa, Paul T; Hsu, Fang-Chi; Samuels, Jack; Bienvenu, O Joseph; Eaton, William W

2008-01-01

This study compared the latent structure of the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition personality disorders (PDs) with the 5-factor model (FFM) of general personality dimensions. The subjects in the study were 742 community-residing individuals who participated in the Hopkins Epidemiology of Personality Disorders Study. Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition PD traits were assessed by psychologists using the International Personality Disorder Examination, and PD dimensions were derived previously using dichotomous factor analysis. The Revised NEO Personality Inventory, a measure of the FFM, was administered to all subjects. The relationship between the 2 sets of personality-related constructs was examined using a construct validity framework and also using Pearson correlation coefficients, multiple linear regression models, and spline regression models. The 5 PD factors each exhibited small to moderate correlations with several NEO dimensions; together, the NEO domain and facet scores explained a fifth to a third of the variance in PD dimensions. Examples of nonlinear relationships between the personality dimensions were identified. There is a modest correspondence between the PD dimensions and FFM traits, and the traits of FFM only partially explain the variance of the PDs. Dimensional measures of general personality may be a suitable alternative to the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition. Whether additional maladaptive traits would better define the domain of PDs remains an important objective for future research.

The relationship between occupational fatigue and preterm delivery

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Mahbod Ebrahimi

2014-05-01

Full Text Available Background: The presense of women in workplace is an unavoiding issue in modern world. The women work in different media. Occupational activities are suspected of having an adverse impact on outcomes of pregnancy. Premature delivery is a catastrophic event in course of pregnancy. The aim of the study was to define the incidence of premature delivery in occupationally involved pregnant women. Material and Methods: A total of 287 primigravida women in an urban society with singleton pregnancies at 22 to 24 weeks gestation were enrolled in a prospective study. They worked in industrial manufactures. The patients reported the number of hours worked per week and answered specific questions designed to determine the following 5 sources of occupational fatigue including:1- posture ,2- work with industrial machines 3- physical exertion 4-mental stress and 5- environmental stress. Results: The risk of preterm delivery increased with standing more than 3 hours during activities in work place (p.value=0/019. There was not a statistically significant relationship between premature delivery and other sources of occupational fatigue. There was not a statically significant relationship between premature rupture of fetal membranes and the sources of occupational fatigue. There was not a statistically significant relationship between premature delivery and increasing number of hours worked per week. Conclusion: The relationship between premature delivery and occupational fatigue may provide guidelines according to pregnant women and their employers can be advised.

Assessing the status of airline safety culture and its relationship to key employee attitudes

Science.gov (United States)

Owen, Edward L.

The need to identify the factors that influence the overall safety environment and compliance with safety procedures within airline operations is substantial. This study examines the relationships between job satisfaction, the overall perception of the safety culture, and compliance with safety rules and regulations of airline employees working in flight operations. A survey questionnaire administered via the internet gathered responses which were converted to numerical values for quantitative analysis. The results were grouped to provide indications of overall average levels in each of the three categories, satisfaction, perceptions, and compliance. Correlations between data in the three sets were tested for statistical significance using two-sample t-tests assuming equal variances. Strong statistical significance was found between job satisfaction and compliance with safety rules and between perceptions of the safety environment and safety compliance. The relationship between job satisfaction and safety perceptions did not show strong statistical significance.

Meta-analytic of the relationship between employee job satisfaction and customer satisfaction

OpenAIRE

Marlena León Mendoza; Carlos Ortega Maldonado

2014-01-01

A meta-analysis of the relationship between employee job satisfaction and customer satisfaction was conducted. This analysis produced statistically significant correlation for this relationship. Results suggest that the service context is a moderator of the employee job satisfaction – customer satisfaction relationship in a way that in personal services this correlation is stronger than in non-personal services. Some implications for future research are presented

Statistics Anxiety, Trait Anxiety, Learning Behavior, and Academic Performance

Science.gov (United States)

Macher, Daniel; Paechter, Manuela; Papousek, Ilona; Ruggeri, Kai

2012-01-01

The present study investigated the relationship between statistics anxiety, individual characteristics (e.g., trait anxiety and learning strategies), and academic performance. Students enrolled in a statistics course in psychology (N = 147) filled in a questionnaire on statistics anxiety, trait anxiety, interest in statistics, mathematical…

THE MEDIATION ROLE OF RELATIONSIP QUALITY PERCEPTION ON THE RELATIONSHIP BETWEEN RELATIONSHIP MARKETING ACTIVITIES AND RE-PURCHASE INTENTION

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Özer YILMAZ

2016-08-01

Full Text Available This study attempted to determine the effect of banks' relationship marketing operations on consumers' intentions of repurchasing and the mediator role of relational quality perception on this effect.  Data used in this study were gathered through a questionnaire from 482 participants in Balıkesir city centre. Descriptive statistics and structural equation modeling based on PLS algorithm (PLS-YEM were used for the analysis. Results indicated that banks' relationship marketing operations significantly and positively affected consumers' intentions of repurchasing and relational quality perceptions of consumers had a complete mediator effect on this relationship.

Relationship between academic motivation and mathematics achievement among Indian adolescents in Canada and India.

Science.gov (United States)

Areepattamannil, Shaljan

2014-01-01

This study examined the relationships between academic motivation-intrinsic motivation, extrinsic motivation, amotivation-and mathematics achievement among 363 Indian adolescents in India and 355 Indian immigrant adolescents in Canada. Results of hierarchical multiple regression analyses showed that intrinsic motivation, extrinsic motivation, and amotivation were not statistically significantly related to mathematics achievement among Indian adolescents in India. In contrast, both intrinsic motivation and extrinsic motivation were statistically significantly related to mathematics achievement among Indian immigrant adolescents in Canada. While intrinsic motivation was a statistically significant positive predictor of mathematics achievement among Indian immigrant adolescents in Canada, extrinsic motivation was a statistically significant negative predictor of mathematics achievement among Indian immigrant adolescents in Canada. Amotivation was not statistically significantly related to mathematics achievement among Indian immigrant adolescents in Canada. Implications of the findings for pedagogy and practice are discussed.

Toward a Better Understanding of the Relationship between Belief in the Paranormal and Statistical Bias: The Potential Role of Schizotypy.

Science.gov (United States)

Dagnall, Neil; Denovan, Andrew; Drinkwater, Kenneth; Parker, Andrew; Clough, Peter

2016-01-01

The present paper examined relationships between schizotypy (measured by the Oxford-Liverpool Inventory of Feelings and Experience; O-LIFE scale brief), belief in the paranormal (assessed via the Revised Paranormal Belief Scale; RPBS) and proneness to statistical bias (i.e., perception of randomness and susceptibility to conjunction fallacy). Participants were 254 volunteers recruited via convenience sampling. Probabilistic reasoning problems appeared framed within both standard and paranormal contexts. Analysis revealed positive correlations between the Unusual Experience (UnExp) subscale of O-LIFE and paranormal belief measures [RPBS full scale, traditional paranormal beliefs (TPB) and new age philosophy]. Performance on standard problems correlated negatively with UnExp and belief in the paranormal (particularly the TPB dimension of the RPBS). Consideration of specific problem types revealed that perception of randomness associated more strongly with belief in the paranormal than conjunction; both problem types related similarly to UnExp. Structural equation modeling specified that belief in the paranormal mediated the indirect relationship between UnExp and statistical bias. For problems presented in a paranormal context a framing effect occurred. Whilst UnExp correlated positively with conjunction proneness (controlling for perception of randomness), there was no association between UnExp and perception of randomness (controlling for conjunction).

Towards a better understanding of the relationship between belief in the paranormal and statistical bias: The potential role of schizotypy

Directory of Open Access Journals (Sweden)

Neil Dagnall

2016-07-01

Full Text Available The present paper examined relationships between schizotypy (measured by the Oxford-Liverpool Inventory of Feelings and Experience; O-LIFE scale brief, belief in the paranormal (assessed via the Revised Paranormal Belief Scale; RPBS and proneness to statistical bias (i.e., perception of randomness and susceptibility to conjunction fallacy. Participants were 254 volunteers recruited via convenience sampling. Probabilistic reasoning problems appeared framed within both standard and paranormal contexts. Analysis revealed positive correlations between the Unusual Experience subscale of O-LIFE and paranormal belief measures (RPBS full scale, traditional paranormal beliefs and new age philosophy. Performance on standard problems correlated negatively with Unusual Experience and belief in the paranormal (particularly the traditional paranormal belief dimension of the RPBS. Consideration of specific problem types revealed that perception of randomness associated more strongly with belief in the paranormal than conjunction; both problem types related similarly to Unusual Experience. Structural equation modelling specified that belief in the paranormal mediated the indirect relationship between Unusual Experience and statistical bias. For problems presented in a paranormal context a framing effect occurred. Whilst Unusual Experience correlated positively with conjunction proneness (controlling for perception of randomness, there was no association between Unusual Experience and perception of randomness (controlling for conjunction.

Reassessment of the relationship between M-protein decrement and survival in multiple myeloma.

OpenAIRE

Palmer, M.; Belch, A.; Hanson, J.; Brox, L.

1989-01-01

The relationship between percentage M-protein decrement and survival is assessed in 134 multiple myeloma patients. The correlation did not achieve statistical significance (P = 0.069). Multivariate analysis using the Cox proportional hazards model, including a number of previously recognised prognostic factors, showed only percentage M-protein decrement, creatinine and haemoglobin to be significantly correlated with survival. However, the R'-statistic for each of these variables was low, indi...

The mediating effect of calling on the relationship between medical school students’ academic burnout and empathy

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Su Jin Chae

2017-09-01

Full Text Available Purpose This study is aimed at identifying the relationships between medical school students’ academic burnout, empathy, and calling, and determining whether their calling has a mediating effect on the relationship between academic burnout and empathy. Methods A mixed method study was conducted. One hundred twenty-seven medical students completed a survey. Scales measuring academic burnout, medical students’ empathy, and calling were utilized. For statistical analysis, correlation analysis, descriptive statistics analysis, and hierarchical multiple regression analyses were conducted. For qualitative approach, eight medical students participated in a focus group interview. Results The study found that empathy has a statistically significant, negative correlation with academic burnout, while having a significant, positive correlation with calling. Sense of calling proved to be an effective mediator of the relationship between academic burnout and empathy. Conclusion This result demonstrates that calling is a key variable that mediates the relationship between medical students’ academic burnout and empathy. As such, this study provides baseline data for an education that could improve medical students’ empathy skills.

Bonds or Bargains: Relationship Paradigms and Their Significance for Marital Therapy.

Science.gov (United States)

Johnson, Sue

1986-01-01

Discusses contrasting conceptual paradigms describing the nature of intimate relationships. Relationships may be viewed in terms of a rational bargain or as an emotional bond. The implications of each paradigm for the process of marital therapy and the role of bonding and attachment in adult intimacy are prescribed. Implications for marital…

Mathematical Anxiety among Business Statistics Students.

Science.gov (United States)

High, Robert V.

A survey instrument was developed to identify sources of mathematics anxiety among undergraduate business students in a statistics class. A number of statistics classes were selected at two colleges in Long Island, New York. A final sample of n=102 respondents indicated that there was a relationship between the mathematics grade in prior…

Investigating output and energy variations and their relationship to delivery QA results using Statistical Process Control for helical tomotherapy.

Science.gov (United States)

Binny, Diana; Mezzenga, Emilio; Lancaster, Craig M; Trapp, Jamie V; Kairn, Tanya; Crowe, Scott B

2017-06-01

The aims of this study were to investigate machine beam parameters using the TomoTherapy quality assurance (TQA) tool, establish a correlation to patient delivery quality assurance results and to evaluate the relationship between energy variations detected using different TQA modules. TQA daily measurement results from two treatment machines for periods of up to 4years were acquired. Analyses of beam quality, helical and static output variations were made. Variations from planned dose were also analysed using Statistical Process Control (SPC) technique and their relationship to output trends were studied. Energy variations appeared to be one of the contributing factors to delivery output dose seen in the analysis. Ion chamber measurements were reliable indicators of energy and output variations and were linear with patient dose verifications. Crown Copyright © 2017. Published by Elsevier Ltd. All rights reserved.

CONFIDENCE LEVELS AND/VS. STATISTICAL HYPOTHESIS TESTING IN STATISTICAL ANALYSIS. CASE STUDY

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ILEANA BRUDIU

2009-05-01

Full Text Available Estimated parameters with confidence intervals and testing statistical assumptions used in statistical analysis to obtain conclusions on research from a sample extracted from the population. Paper to the case study presented aims to highlight the importance of volume of sample taken in the study and how this reflects on the results obtained when using confidence intervals and testing for pregnant. If statistical testing hypotheses not only give an answer "yes" or "no" to some questions of statistical estimation using statistical confidence intervals provides more information than a test statistic, show high degree of uncertainty arising from small samples and findings build in the "marginally significant" or "almost significant (p very close to 0.05.

Statistical principles for prospective study protocols:

DEFF Research Database (Denmark)

Christensen, Robin; Langberg, Henning

2012-01-01

In the design of scientific studies it is essential to decide on which scientific questions one aims to answer, just as it is important to decide on the correct statistical methods to use to answer these questions. The correct use of statistical methods is crucial in all aspects of research...... to quantify relationships in data. Despite an increased focus on statistical content and complexity of biomedical research these topics remain difficult for most researchers. Statistical methods enable researchers to condense large spreadsheets with data into means, proportions, and difference between means...... the statistical principles for trial protocols in terms of design, analysis, and reporting of findings....

Self-reported bullying in childhood: relationships with employment in adulthood.

Science.gov (United States)

Sansone, Randy A; Leung, Justin S; Wiederman, Michael W

2013-02-01

To our knowledge, relationships between being bullied in childhood and employment functioning in adulthood have not been previously studied-hence the focus of the present study. Using a cross-sectional approach and a self-report survey methodology in a consecutive sample of 328 internal medicine outpatients, we examined relationships between being bullied (i.e., have you ever been bullied, how many years, how many bullies) and history of employment (i.e., since age 18, number of full-time jobs, percentage of time employed, ever paid "under the table," and ever fired). Participants reporting a history of having been bullied reported a relatively greater number of different jobs as well as a greater likelihood of having been "paid under the table" and having been fired. While the number of years bullied evidenced no statistically significant correlations with employment variables, the number of different bullies was statistically significantly correlated with the number of different jobs held and ever having been fired. Findings indicate a relationship between being bullied in childhood and experiencing reduced employment viability in adulthood.

The relationship between the Psychopathy Checklist-Revised and the MMPI-2: a pilot study.

Science.gov (United States)

Hansen, Anita L; Stokkeland, Lisa; Johnsen, Bjørn Helge; Pallesen, Ståle; Waage, Leif

2013-04-01

The goal of the study was to investigate the relationship between Hare's four-facet model of psychopathy and the Minnesota Multiphasic Personality Inventory-2 (MMPI-2) in a forensic, culturally homogenous sample. 22 male prisoners from Bergen Prison participated. There was only a statistically significant negative zero-order correlation between the total PCL-R score and the score on the Depression scale of the MMPI-2. However, the results revealed that the four facets had different underlying correlates with negative affectivity. Overall, Facets 1 and 2 showed a tendency toward a negative relationship with the clinical scales on the MMPI-2, while Facets 3 and 4 had a positive relationship. Interestingly, partial correlations showed that Facet 4 of PCL-R was the only facet that correlated statistically significantly with the scores on the Psychopathic Deviate scale of the MMPI-2.

Wijsman Orlicz Asymptotically Ideal -Statistical Equivalent Sequences

Directory of Open Access Journals (Sweden)

Bipan Hazarika

2013-01-01

in Wijsman sense and present some definitions which are the natural combination of the definition of asymptotic equivalence, statistical equivalent, -statistical equivalent sequences in Wijsman sense. Finally, we introduce the notion of Cesaro Orlicz asymptotically -equivalent sequences in Wijsman sense and establish their relationship with other classes.

The relationship between chiropractor required and current level of business knowledge.

Science.gov (United States)

Ciolfi, Michael Anthony; Kasen, Patsy Anne

2017-01-01

Chiropractors frequently practice within health care systems requiring the business acumen of an entrepreneur. However, some chiropractors do not know the relationship between the level of business knowledge required for practice success and their current level of business knowledge. The purpose of this quantitative study was to examine the relationship between chiropractors' perceived level of business knowledge required and their perceived level of current business knowledge. Two hundred and seventy-four participants completed an online survey (Health Care Training and Education Needs Survey) which included eight key business items. Participants rated the level of perceived business knowledge required (Part I) and their current perceived level of knowledge (Part II) for the same eight items. Data was collected from November 27, 2013 to December 18, 2013. Data were analyzed using Spearman's ranked correlation to determine the statistically significant relationships for the perceived level of knowledge required and the perceived current level of knowledge for each of the paired eight items from Parts I and II of the survey. Wilcoxon Signed Ranks Tests were performed to determine the statistical difference between the paired items. The results of Spearman's correlation testing indicated a statistically significant ( p business items (6 of 8) however a statistically difference was demonstrated in only three of the paired business items. The implications of this study for social change include the potential to improve chiropractors' business knowledge and skills, enable practice success, enhance health services delivery and positively influence the profession as a viable career.

Regularized Statistical Analysis of Anatomy

DEFF Research Database (Denmark)

Sjöstrand, Karl

2007-01-01

This thesis presents the application and development of regularized methods for the statistical analysis of anatomical structures. Focus is on structure-function relationships in the human brain, such as the connection between early onset of Alzheimer’s disease and shape changes of the corpus...... and mind. Statistics represents a quintessential part of such investigations as they are preluded by a clinical hypothesis that must be verified based on observed data. The massive amounts of image data produced in each examination pose an important and interesting statistical challenge...... efficient algorithms which make the analysis of large data sets feasible, and gives examples of applications....

Powerful Inference With the D-Statistic on Low-Coverage Whole-Genome Data

DEFF Research Database (Denmark)

Soraggi, Samuele; Wiuf, Carsten; Albrechtsen, Anders

2018-01-01

The detection of ancient gene flow between human populations is an important issue in population genetics. A common tool for detecting ancient admixture events is the D-statistic. The D-statistic is based on the hypothesis of a genetic relationship that involves four populations, whose correctness...... is assessed by evaluating specific coincidences of alleles between the groups. When working with high throughput sequencing data calling genotypes accurately is not always possible, therefore the D-statistic currently samples a single base from the reads of one individual per population. This implies ignoring...... much of the information in the data, an issue especially striking in the case of ancient genomes. We provide a significant improvement to overcome the problems of the D-statistic by considering all reads from multiple individuals in each population. We also apply type-specific error correction...

Patient‑doctor relationship: The practice orientation of doctors in Kano

African Journals Online (AJOL)

2013-08-19

Aug 19, 2013 ... relationship borders mainly on patients' satisfaction[12‑16] from either the .... Female. 47 (22.0). Marital status. Single. 87 (40.7). Married. 127 (59.3) ... doctors' place of work was only statistically significant in the “sharing” ...

Online Statistical Modeling (Regression Analysis) for Independent Responses

Science.gov (United States)

Made Tirta, I.; Anggraeni, Dian; Pandutama, Martinus

2017-06-01

Regression analysis (statistical analmodelling) are among statistical methods which are frequently needed in analyzing quantitative data, especially to model relationship between response and explanatory variables. Nowadays, statistical models have been developed into various directions to model various type and complex relationship of data. Rich varieties of advanced and recent statistical modelling are mostly available on open source software (one of them is R). However, these advanced statistical modelling, are not very friendly to novice R users, since they are based on programming script or command line interface. Our research aims to developed web interface (based on R and shiny), so that most recent and advanced statistical modelling are readily available, accessible and applicable on web. We have previously made interface in the form of e-tutorial for several modern and advanced statistical modelling on R especially for independent responses (including linear models/LM, generalized linier models/GLM, generalized additive model/GAM and generalized additive model for location scale and shape/GAMLSS). In this research we unified them in the form of data analysis, including model using Computer Intensive Statistics (Bootstrap and Markov Chain Monte Carlo/ MCMC). All are readily accessible on our online Virtual Statistics Laboratory. The web (interface) make the statistical modeling becomes easier to apply and easier to compare them in order to find the most appropriate model for the data.

Relationship between Individual and Organizational Learning: Mediating Role of Team Learning

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Monika Stelmaszczyk

2016-12-01

Full Text Available The aim of this paper is to recognize the relationships between individual and organizational learning while considering team learning as a mediator of these relationships. The research object is a large Polish enterprise specializing in the production of cast-iron items. In order to test assumed research hypotheses, statistical analyses were conducted using the IBM SPSS Statistics Suite, version 20. The suite helped conduct correlation analyses concatenation, line regression analyses and mediation analyses using the PROCESS macro by Hayes and Preacher. The research results show a statistically significant relationship between individual learning and each of the five dimensions of organizational learning [clarity of purpose and mission; leadership commitment and empowerment; knowledge transfer; experimentation and rewards; and teamwork and group problem solving]. What is more, they prove that team learning is a mediator of a relationship between individual and organizational learning. Interestingly, only one full mediation has been observed while researching the mediative effect of team learning in relation to each out of the five dimensions of organizational learning. It occurred in relation to experimentation and rewards. In the remaining cases these were partial mediations.

Statistical Power in Plant Pathology Research.

Science.gov (United States)

Gent, David H; Esker, Paul D; Kriss, Alissa B

2018-01-01

In null hypothesis testing, failure to reject a null hypothesis may have two potential interpretations. One interpretation is that the treatments being evaluated do not have a significant effect, and a correct conclusion was reached in the analysis. Alternatively, a treatment effect may have existed but the conclusion of the study was that there was none. This is termed a Type II error, which is most likely to occur when studies lack sufficient statistical power to detect a treatment effect. In basic terms, the power of a study is the ability to identify a true effect through a statistical test. The power of a statistical test is 1 - (the probability of Type II errors), and depends on the size of treatment effect (termed the effect size), variance, sample size, and significance criterion (the probability of a Type I error, α). Low statistical power is prevalent in scientific literature in general, including plant pathology. However, power is rarely reported, creating uncertainty in the interpretation of nonsignificant results and potentially underestimating small, yet biologically significant relationships. The appropriate level of power for a study depends on the impact of Type I versus Type II errors and no single level of power is acceptable for all purposes. Nonetheless, by convention 0.8 is often considered an acceptable threshold and studies with power less than 0.5 generally should not be conducted if the results are to be conclusive. The emphasis on power analysis should be in the planning stages of an experiment. Commonly employed strategies to increase power include increasing sample sizes, selecting a less stringent threshold probability for Type I errors, increasing the hypothesized or detectable effect size, including as few treatment groups as possible, reducing measurement variability, and including relevant covariates in analyses. Power analysis will lead to more efficient use of resources and more precisely structured hypotheses, and may even

The statistics of dose/cure relationships for irradiated tumours

International Nuclear Information System (INIS)

Porter, E.H.

1980-01-01

Attention is given to the statistical analysis of dose/cure experiments. The simplest possible theory is developed in detail with special attention to experimental design and to the range of validity of the methods advocated. Explanations are aimed at the mathematics-tolerant, not at the mathematician. (author)

The relationship between perfectionism of managers and Empowerment staff of physical education offices in Tehran

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Akram G H A D I R I

2014-09-01

Full Text Available The aim of the present study is relationship between perfectionism of managers and empowerment staff of physical education offices in Tehran. This research is a descriptive – correlation, from Perspective of Nature, Applicable. The po pulation of this research consisted of managers and administrative staff in physical education offices of Tehran are the number of 351 persons. The sample estimate of the population and with using Morgan’s table And Karjsi and 185 patients were selected us ing stratified random number, of which 50 were managers and 135 employees. Independent variables were instrumented perfectionism of managers, 59 item questionnaires of Hill and Associates (2004 and tools to measure the dependent variable of empowerment pe rsonnel was 16 - item questionnaire Aspretizr (2002 . Statistical methods was included descriptive statistics and inferential statistics (Pearson and Friedman and the results in general showed a there is significant relationship between perfectionism of man agers and capabilities of personnel. And so dimensions of perfectionism of Managers had a meaningful significant negative relationship with empowerment personnel. However, discipline and stress had the strongest associations with empowerment personnel.

Relationship between Personality Disorders and Relapses among Sample of Substance Abuse Patients

OpenAIRE

Osama Hasan Gaber

2016-01-01

This study aimed to examine the relationship between Personality Disorders and Relapses among Sample of 75 Substance Abuse Patients (personality disorder scale (prepared by the researchers) were used Pearson Correlation Coefficient showed that there are statistically significant relationship between Antisocial personality disorder(ASPD), Borderline personality disorder (BPD, Avoidant personality disorder (AVPD) and Dependent personality disorder (DPD) and substance abuse relapses (P≤=0.00)...

The Relationship between Symptom Severity and Cognitive Functions with Obesity in Fibromyalgia Syndrome

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Selçuk Sayılır

2017-01-01

Full Text Available Objective: To investigate the relationship between obesity with symptom severity and cognitive functions in Fibromyalgia syndrome (FMS patients. Materials and Methods: The study comprised 33 FMS patients (mean age 41.21±7.6 years. The patients who have hypertension, hypercholesterolaemia or diabetes, chronic inflammatory disorders, cardiovascular-pulmonary diseases, rheumatological/endocrine diseases, using anticoagulant therapy or have thrombotic disorders, malignancies and pregnant women were excluded from the study. Fibromyalgia Impact Questionnaire (FIQ, Perceived Stress Scale (PSS-10 and Mini Mental State Examination tests were used. The data of FMS patients were recorded by the same physician. Results: There were not statistically significant differences between PSS-10 and MMSE with body mass index (BMI levels. There was a statistically significant difference between FIQ and BMI values. Conclusion: In conclusion, the result of this study showed a statistical relationship between the increased BMI levels and FMS symptom severity that could be beneficial in clinical practice.

A longitudinal study of interpersonal relationships among lesbian, gay, and bisexual adolescents and young adults: Mediational pathways from attachment to romantic relationship quality

Science.gov (United States)

Starks, Tyrel J.; Newcomb, Michael E.; Mustanski, Brian

2016-01-01

The current study examined the potential for mental health to mediate associations between earlier attachment to parents and peers and later relationship adjustment during adolescence and young adulthood in a sample of sexual minority youth. Secondarily, the study examined associations between peer and parental attachment and relationship/dating milestones. Participants included 219 lesbian, gay, and bisexual youth who participated in six waves of data collection over 3.5 years. Parental attachment was associated with an older age of dating initiation, while peer attachment was associated with longer relationship length. Both peer and parental attachment were significantly associated with mental health in later adolescence and young adulthood. Mental health mediated the association between peer attachment and main partner relationship quality. While the total indirect effect of parental attachment on main partner relationship quality was statistically significant, specific indirect effects were not. Implications for the application of attachment theory and integration of interpersonal factors into mental health intervention with sexual minority youth are discussed. PMID:26108898

Detecting relationships between the interannual variability in climate records and ecological time series using a multivariate statistical approach - four case studies for the North Sea region

Energy Technology Data Exchange (ETDEWEB)

Heyen, H. [GKSS-Forschungszentrum Geesthacht GmbH (Germany). Inst. fuer Gewaesserphysik

1998-12-31

A multivariate statistical approach is presented that allows a systematic search for relationships between the interannual variability in climate records and ecological time series. Statistical models are built between climatological predictor fields and the variables of interest. Relationships are sought on different temporal scales and for different seasons and time lags. The possibilities and limitations of this approach are discussed in four case studies dealing with salinity in the German Bight, abundance of zooplankton at Helgoland Roads, macrofauna communities off Norderney and the arrival of migratory birds on Helgoland. (orig.) [Deutsch] Ein statistisches, multivariates Modell wird vorgestellt, das eine systematische Suche nach potentiellen Zusammenhaengen zwischen Variabilitaet in Klima- und oekologischen Zeitserien erlaubt. Anhand von vier Anwendungsbeispielen wird der Klimaeinfluss auf den Salzgehalt in der Deutschen Bucht, Zooplankton vor Helgoland, Makrofauna vor Norderney, und die Ankunft von Zugvoegeln auf Helgoland untersucht. (orig.)

Statistics of high-level scene context.

Science.gov (United States)

Greene, Michelle R

2013-01-01

CONTEXT IS CRITICAL FOR RECOGNIZING ENVIRONMENTS AND FOR SEARCHING FOR OBJECTS WITHIN THEM: contextual associations have been shown to modulate reaction time and object recognition accuracy, as well as influence the distribution of eye movements and patterns of brain activations. However, we have not yet systematically quantified the relationships between objects and their scene environments. Here I seek to fill this gap by providing descriptive statistics of object-scene relationships. A total of 48, 167 objects were hand-labeled in 3499 scenes using the LabelMe tool (Russell et al., 2008). From these data, I computed a variety of descriptive statistics at three different levels of analysis: the ensemble statistics that describe the density and spatial distribution of unnamed "things" in the scene; the bag of words level where scenes are described by the list of objects contained within them; and the structural level where the spatial distribution and relationships between the objects are measured. The utility of each level of description for scene categorization was assessed through the use of linear classifiers, and the plausibility of each level for modeling human scene categorization is discussed. Of the three levels, ensemble statistics were found to be the most informative (per feature), and also best explained human patterns of categorization errors. Although a bag of words classifier had similar performance to human observers, it had a markedly different pattern of errors. However, certain objects are more useful than others, and ceiling classification performance could be achieved using only the 64 most informative objects. As object location tends not to vary as a function of category, structural information provided little additional information. Additionally, these data provide valuable information on natural scene redundancy that can be exploited for machine vision, and can help the visual cognition community to design experiments guided by statistics

Determining coding CpG islands by identifying regions significant for pattern statistics on Markov chains.

Science.gov (United States)

Singer, Meromit; Engström, Alexander; Schönhuth, Alexander; Pachter, Lior

2011-09-23

Recent experimental and computational work confirms that CpGs can be unmethylated inside coding exons, thereby showing that codons may be subjected to both genomic and epigenomic constraint. It is therefore of interest to identify coding CpG islands (CCGIs) that are regions inside exons enriched for CpGs. The difficulty in identifying such islands is that coding exons exhibit sequence biases determined by codon usage and constraints that must be taken into account. We present a method for finding CCGIs that showcases a novel approach we have developed for identifying regions of interest that are significant (with respect to a Markov chain) for the counts of any pattern. Our method begins with the exact computation of tail probabilities for the number of CpGs in all regions contained in coding exons, and then applies a greedy algorithm for selecting islands from among the regions. We show that the greedy algorithm provably optimizes a biologically motivated criterion for selecting islands while controlling the false discovery rate. We applied this approach to the human genome (hg18) and annotated CpG islands in coding exons. The statistical criterion we apply to evaluating islands reduces the number of false positives in existing annotations, while our approach to defining islands reveals significant numbers of undiscovered CCGIs in coding exons. Many of these appear to be examples of functional epigenetic specialization in coding exons.

Suicidal Attempt in Bipolar Disorder:Low Significance of Comorbidity with Opioid Dependence

Directory of Open Access Journals (Sweden)

Morteza Naserbakht

2009-04-01

Full Text Available "nObjectives: The relationship between suicidal attempt and opioid use disorder in patients with bipolar disorder (BD is unknown. This study aimed at shedding some light on this issue. "nMethod:178 inpatients aged 18-65 with BD type I with or without opioid use disorders were face-to-face interviewed through the Persian Structured Clinical Interview for DSM-IV axis I disorders (SCID-I,  the Global Assessment of Functioning (GAF scale, and a questionnaire including demographic and some clinical factors. "nResults:Gender was the only demographic factor with a statistical significant difference between suicidal and non-suicidal bipolar patients. Also, comorbidity with anxiety disorders and the type of index and current mood episodes were significantly different between the two groups (p<0.05. But after using a logistic regression analysis, the only statistical significant different factors (p<0.05 between the two groups were gender, comorbidity with anxiety disorders, and GAF.  "nConclusion:Opioid dependence comorbidity can not be considered as a risk factor for suicidal attempt in patients with BD.

Statistical methodology for exploring elevational differences in precipitation chemistry

International Nuclear Information System (INIS)

Warren, W.G.; Boehm, M.; Link, D.

1992-01-01

A statistical methodology for exploring the relationships between elevation and precipitation chemistry is outlined and illustrated. The methodology utilizes maximum likelihood estimates and likelihood ratio tests with contour ellipses of assumed bivariate lognormal distributions used to assist in interpretation. The approach was illustrated using 12 NADP/NTN sites located in six study areas in the Wyoming and Colorado Rockies. These sites are part of the Rocky Mountain Deposition Monitoring Project (RMDMP), which was initiated in 1986 to investigate the relationships between elevation and the chemistry of precipitation. The results indicate differences in sulfate concentrations between airsheds, between snow and rain, and between higher and lower elevations. In general, sulfate concentrations in snow are greater at lower elevations and this difference is independent of concentration. A similar relationship for rain was not well established. In addition there is evidence that, overall, the sulfate concentrations differed between the six study areas, although pairwise differences were not always significant

Significant relationship between lifetime alcohol use disorders and suicide attempts in an Australian schizophrenia sample.

Science.gov (United States)

McLean, Duncan; Gladman, Beverley; Mowry, Bryan

2012-02-01

Suicide and attempted suicide are common in individuals with schizophrenia, and evidence exists for a link between substance use disorders and suicidality in this disorder. However, alcohol has not been consistently implicated. We examined the relationship between substance use disorders and suicide attempts in schizophrenia. We recruited a schizophrenia sample in Australia (n = 821) for genetic analyses. We analysed demographic and clinical variables, including substance use disorders, and their relationship to suicide attempts using generalised equation modelling. A significant association was identified between lifetime alcohol abuse/dependence and suicide attempts (OR = 1.66; 95% CI, 1.23 to 2.24; p = 0.001) after adjustment for potential confounders, but not between cannabis abuse/dependence and suicide attempts, nor between other illicit drug abuse/dependence and suicide attempts. Polysubstance abuse/dependence was also not implicated. These results suggest that the presence of alcohol abuse/dependence may be a risk factor for suicide attempts in individuals with schizophrenia, independent of comorbid substance abuse/dependence.

The relationship between the behavior problems and motor skills of students with intellectual disability.

Science.gov (United States)

Lee, Yangchool; Jeoung, Bogja

2016-12-01

The purpose of this study was to determine the relationship between the motor skills and the behavior problems of students with intellectual disabilities. The study participants were 117 students with intellectual disabilities who were between 7 and 25 years old (male, n=79; female, n=38) and attending special education schools in South Korea. Motor skill abilities were assessed by using the second version of the Bruininks-Oseretsky test of motor proficiency, which includes subtests in fine motor control, manual coordination, body coordination, strength, and agility. Data were analyzed with SPSS IBM 21 by using correlation and regression analyses, and the significance level was set at P Manual dexterity showed a statistically significant influence on somatic complaint and anxiety/depression, and bilateral coordination had a statistically significant influence on social problems, attention problem, and aggressive behavior. Our results showed that balance had a statistically significant influence on social problems and aggressive behavior, and speed and agility had a statistically significant influence on social problems and aggressive behavior. Upper limb coordination and strength had a statistically significant influence on social problems.

Investigation of Relationship between Organizational Climate and Organizational Citizenship Behavior: A Research on Health Sector

OpenAIRE

Serdar Öge; Pınar Erdogan

2015-01-01

The main objective of this research is to describe the relationship between organizational climate and organizational citizenship behavior. In order to examine this relationship, a research is intended to be carried out in relevant institutions and organizations operating in the health sector in Turkey. It will be researched that whether there is a statistically significant relationship between organizational climate and organizational citizenship behavior through elated ...

Registered nurses' perceptions of rewarding and its significance.

Science.gov (United States)

Seitovirta, Jaana; Lehtimäki, Aku-Ville; Vehviläinen-Julkunen, Katri; Mitronen, Lasse; Kvist, Tarja

2017-11-07

To examine reward type preferences and their relationships with the significance of rewarding perceived by registered nurses in Finland. Previous studies have found relationships between nurses' rewarding and their motivation at work, job satisfaction and organisational commitment. Data were collected in a cross-sectional, descriptive, questionnaire survey from 402 registered nurses using the Registered Nurses' Perceptions of Rewarding Scale in 2015, and analysed with descriptive and multivariate statistical methods. Registered nurses assigned slightly higher values to several non-financial than to financial rewards. The non-financial reward types appreciation and feedback from work community, worktime arrangements, work content, and opportunity to develop, influence and participate were highly related to the significance of rewarding. We identified various rewards that registered nurses value, and indications that providing an appropriate array of rewards, particularly non-financial rewards, is a highly beneficial element of nursing management. It is important to understand the value of rewards for nursing management. Nurse managers should offer diverse rewards to their registered nurses to promote excellent performance and to help efforts to secure and maintain high-quality, safe patient care. The use of appropriate rewards is especially crucial to improving registered nurses' reward satisfaction and job satisfaction globally in the nursing profession. © 2017 John Wiley & Sons Ltd.

Striving to be known by significant others: automatic activation of self-verification goals in relationship contexts.

Science.gov (United States)

Kraus, Michael W; Chen, Serena

2009-07-01

Extending research on the automatic activation of goals associated with significant others, the authors hypothesized that self-verification goals typically pursued with significant others are automatically elicited when a significant-other representation is activated. Supporting this hypothesis, the activation of a significant-other representation through priming (Experiments 1 and 3) or through a transference encounter (Experiment 2) led participants to seek feedback that verifies their preexisting self-views. Specifically, significant-other primed participants desired self-verifying feedback, in general (Experiment 1), from an upcoming interaction partner (Experiment 2), and relative to acquaintance-primed participants and favorable feedback (Experiment 3). Finally, self-verification goals were activated, especially for relational self-views deemed high in importance to participants' self-concepts (Experiment 2) and held with high certainty (Experiment 3). Implications for research on self-evaluative goals, the relational self, and the automatic goal activation literature are discussed, as are consequences for close relationships. (PsycINFO Database Record (c) 2009 APA, all rights reserved).

On the Question of Methodological Support of Research on Relationships of Interpersonal Significance in Kindergarten Groups

Directory of Open Access Journals (Sweden)

Iliyn V.A.

2016-03-01

Full Text Available The paper focuses on the importance of in-depth research (in particular, employing an algorithm developed by M.Yu. Kondratyev for defining integral status of an individual on child-child interpersonal relationship in kindergarten groups. Although relationships with significant adults are by all means essential for preschool children, interpersonal relation- ships on the child-child level to a great extent shape the content of the social situation of development in general. Still, when it comes to revealing status and role position of the child in the structure of interpersonal relationships within the kindergarten group, there’s the challenge of defining informal intragroup structure of power in contact community (due to the age specifics. The paper suggests how this challenge may be addressed and provides a version of the technique suitable for preschoolers that helps overcome age restrictions implied by the original technique. Also, the paper reports on the outcomes of approbation of this version which proved its heuristic nature. For instance, the outcomes show a high degree of correlation between the results of kindergarten group members ranking in accordance with their influence upon peers carried out by teachers working in these groups.

Relationship between Personality Traits and Happiness in Patients with Thalassemia

Directory of Open Access Journals (Sweden)

Babollah Bakhshipour

2014-12-01

Full Text Available Background: The aim of this study was determining the relationship between personality traits and happiness in patients with major thalassemia. Materials and Methods: The design of this study was descriptive (correlational study. The target population of this study was all under-treated patients with major thalassemia in Amirkola thalassemia center in 2011. Among these patients, 150 patients were sampled using simple random sampling method and Morgan's table. The data were analyzed by means of calculating Pearson correlation coefficients and multiple linear regression analysis. The patients were asked to complete NEO-five factor Inventory (short form and Oxford happiness inventory. Results: Based on the results, the coefficient of regression analysis of NEO personality factors (big five and happiness was 0.45, which shows a linear relationship between personality factors of NEO and happiness in patients with thalassemia. Thus, there is a statistically significant relationship among personality traits (neuroticism, extroversion, openness, agreeableness, conscientiousness and happiness. Conclusion: Among personality traits, extroversion, flexibility, agreeableness and conscientiousness had positive statistically meaningful relationship with happiness i.e. patients with lower scores in neuroticism, were happier.

Statistical analysis of aerosol species, trace gasses, and meteorology in Chicago.

Science.gov (United States)

Binaku, Katrina; O'Brien, Timothy; Schmeling, Martina; Fosco, Tinamarie

2013-09-01

Both canonical correlation analysis (CCA) and principal component analysis (PCA) were applied to atmospheric aerosol and trace gas concentrations and meteorological data collected in Chicago during the summer months of 2002, 2003, and 2004. Concentrations of ammonium, calcium, nitrate, sulfate, and oxalate particulate matter, as well as, meteorological parameters temperature, wind speed, wind direction, and humidity were subjected to CCA and PCA. Ozone and nitrogen oxide mixing ratios were also included in the data set. The purpose of statistical analysis was to determine the extent of existing linear relationship(s), or lack thereof, between meteorological parameters and pollutant concentrations in addition to reducing dimensionality of the original data to determine sources of pollutants. In CCA, the first three canonical variate pairs derived were statistically significant at the 0.05 level. Canonical correlation between the first canonical variate pair was 0.821, while correlations of the second and third canonical variate pairs were 0.562 and 0.461, respectively. The first canonical variate pair indicated that increasing temperatures resulted in high ozone mixing ratios, while the second canonical variate pair showed wind speed and humidity's influence on local ammonium concentrations. No new information was uncovered in the third variate pair. Canonical loadings were also interpreted for information regarding relationships between data sets. Four principal components (PCs), expressing 77.0 % of original data variance, were derived in PCA. Interpretation of PCs suggested significant production and/or transport of secondary aerosols in the region (PC1). Furthermore, photochemical production of ozone and wind speed's influence on pollutants were expressed (PC2) along with overall measure of local meteorology (PC3). In summary, CCA and PCA results combined were successful in uncovering linear relationships between meteorology and air pollutants in Chicago and

Incidence and significance of pleural effusion after hepatoma surgery

International Nuclear Information System (INIS)

Song, Jae Uoo; Im, Jung Gi; Ahn, Joong Mo; Kim, Seung Cheol; Kim, Sam Soo; Kim, Seung Hoon; Yeon, Kyung Mo

1994-01-01

We performed this study to evaluate the clinical significance and temporal changes of pleural effusion developed after the resection of hepatoma. We reviewed retrospectively follow-up chest radiographs of 97 patients who had undergone operation for hepatoma and had no radiologically demonstrable postoperative complications. The duration of pleural effusion was classified into five groups and the amount of pleural effusion at one week after operation was graded into four groups. Statistical significance of the relationship between the duration, amount of pleural effusion and five factors, which are location and size of tumor, age of the patients, methods of operation, and preoperative liver function, was studied respectively. Pleural effusion was developed in 63.9% (62/97) and the mean duration was 2.5 weeks. In 92% (52/56), pleural effusion disappeared spontaneously within four weeks. Patients who had hepatoma in upper portion of the right lobe developed more frequent pleural effusion which persisted longer, and was larger in amount at one week after operation(p<0.05). There were no statistically significant differences between pleural effusion and the other four factors. Pleural effusion following hepatoma surgery should not be regarded as a sign of post-operative complication, as it invariably disappears spontaneously within four weeks. Development of pleural effusion is considered to be caused by local irritation and disturbance of lymphatic flow at the diaphragm

Statistical significance approximation in local trend analysis of high-throughput time-series data using the theory of Markov chains.

Science.gov (United States)

Xia, Li C; Ai, Dongmei; Cram, Jacob A; Liang, Xiaoyi; Fuhrman, Jed A; Sun, Fengzhu

2015-09-21

Local trend (i.e. shape) analysis of time series data reveals co-changing patterns in dynamics of biological systems. However, slow permutation procedures to evaluate the statistical significance of local trend scores have limited its applications to high-throughput time series data analysis, e.g., data from the next generation sequencing technology based studies. By extending the theories for the tail probability of the range of sum of Markovian random variables, we propose formulae for approximating the statistical significance of local trend scores. Using simulations and real data, we show that the approximate p-value is close to that obtained using a large number of permutations (starting at time points >20 with no delay and >30 with delay of at most three time steps) in that the non-zero decimals of the p-values obtained by the approximation and the permutations are mostly the same when the approximate p-value is less than 0.05. In addition, the approximate p-value is slightly larger than that based on permutations making hypothesis testing based on the approximate p-value conservative. The approximation enables efficient calculation of p-values for pairwise local trend analysis, making large scale all-versus-all comparisons possible. We also propose a hybrid approach by integrating the approximation and permutations to obtain accurate p-values for significantly associated pairs. We further demonstrate its use with the analysis of the Polymouth Marine Laboratory (PML) microbial community time series from high-throughput sequencing data and found interesting organism co-occurrence dynamic patterns. The software tool is integrated into the eLSA software package that now provides accelerated local trend and similarity analysis pipelines for time series data. The package is freely available from the eLSA website: http://bitbucket.org/charade/elsa.

Powerful Inference with the D-Statistic on Low-Coverage Whole-Genome Data.

Science.gov (United States)

Soraggi, Samuele; Wiuf, Carsten; Albrechtsen, Anders

2018-02-02

The detection of ancient gene flow between human populations is an important issue in population genetics. A common tool for detecting ancient admixture events is the D-statistic. The D-statistic is based on the hypothesis of a genetic relationship that involves four populations, whose correctness is assessed by evaluating specific coincidences of alleles between the groups. When working with high-throughput sequencing data, calling genotypes accurately is not always possible; therefore, the D-statistic currently samples a single base from the reads of one individual per population. This implies ignoring much of the information in the data, an issue especially striking in the case of ancient genomes. We provide a significant improvement to overcome the problems of the D-statistic by considering all reads from multiple individuals in each population. We also apply type-specific error correction to combat the problems of sequencing errors, and show a way to correct for introgression from an external population that is not part of the supposed genetic relationship, and how this leads to an estimate of the admixture rate. We prove that the D-statistic is approximated by a standard normal distribution. Furthermore, we show that our method outperforms the traditional D-statistic in detecting admixtures. The power gain is most pronounced for low and medium sequencing depth (1-10×), and performances are as good as with perfectly called genotypes at a sequencing depth of 2×. We show the reliability of error correction in scenarios with simulated errors and ancient data, and correct for introgression in known scenarios to estimate the admixture rates. Copyright © 2018 Soraggi et al.

Test the Overall Significance of p-values by Using Joint Tail Probability of Ordered p-values as Test Statistic

OpenAIRE

Fang, Yongxiang; Wit, Ernst

2008-01-01

Fisher’s combined probability test is the most commonly used method to test the overall significance of a set independent p-values. However, it is very obviously that Fisher’s statistic is more sensitive to smaller p-values than to larger p-value and a small p-value may overrule the other p-values and decide the test result. This is, in some cases, viewed as a flaw. In order to overcome this flaw and improve the power of the test, the joint tail probability of a set p-values is proposed as a ...

Concept Maps in Introductory Statistics

Science.gov (United States)

Witmer, Jeffrey A.

2016-01-01

Concept maps are tools for organizing thoughts on the main ideas in a course. I present an example of a concept map that was created through the work of students in an introductory class and discuss major topics in statistics and relationships among them.

Relationship between social support and the nutritional status of patients receiving radiation therapy for cancer

International Nuclear Information System (INIS)

Pulliam, L.W.

1985-01-01

The purpose of this descriptive, correlational study was to ascertain if there is a relationship between social support and the nutritional status of patients receiving radiation therapy for cancer. The data collection instruments used included the Norbeck Social Support Questionnaire (NSSQ), the Personal Characteristics Form, the abbreviated Health History, the Flow Sheet for Nutritional Data, and the Interview Schedule. For the analysis of data descriptive statistics were utilized to provide a profile of subjects, and correlational statistics were used to ascertain if there were relationships among the indicators of nutritional status and the social support variables. A convenience sample was comprised of 50 cancer patients deemed curable by radiation therapy. Findings included significant decreases in anthropometric measurements and biochemical tests during therapy. Serial assessments of nutritional status, therefore, are recommended for all cancer patients during therapy in order to plan and implement strategies for meeting the self-care requisites for food and water. No statistically significant relationships were found between the social support variables as measured by the NSSQ and the indicators of nutritional status. This suggests that nurses can assist patients by fostering support from actual and potential nutritional confidants

Defining the relationship between Plasmodium falciparum parasite rate and clinical disease: statistical models for disease burden estimation

Directory of Open Access Journals (Sweden)

Snow Robert W

2009-08-01

Full Text Available Abstract Background Clinical malaria has proven an elusive burden to enumerate. Many cases go undetected by routine disease recording systems. Epidemiologists have, therefore, frequently defaulted to actively measuring malaria in population cohorts through time. Measuring the clinical incidence of malaria longitudinally is labour-intensive and impossible to undertake universally. There is a need, therefore, to define a relationship between clinical incidence and the easier and more commonly measured index of infection prevalence: the "parasite rate". This relationship can help provide an informed basis to define malaria burdens in areas where health statistics are inadequate. Methods Formal literature searches were conducted for Plasmodium falciparum malaria incidence surveys undertaken prospectively through active case detection at least every 14 days. The data were abstracted, standardized and geo-referenced. Incidence surveys were time-space matched with modelled estimates of infection prevalence derived from a larger database of parasite prevalence surveys and modelling procedures developed for a global malaria endemicity map. Several potential relationships between clinical incidence and infection prevalence were then specified in a non-parametric Gaussian process model with minimal, biologically informed, prior constraints. Bayesian inference was then used to choose between the candidate models. Results The suggested relationships with credible intervals are shown for the Africa and a combined America and Central and South East Asia regions. In both regions clinical incidence increased slowly and smoothly as a function of infection prevalence. In Africa, when infection prevalence exceeded 40%, clinical incidence reached a plateau of 500 cases per thousand of the population per annum. In the combined America and Central and South East Asia regions, this plateau was reached at 250 cases per thousand of the population per annum. A temporal

Application of pedagogy reflective in statistical methods course and practicum statistical methods

Science.gov (United States)

Julie, Hongki

2017-08-01

Subject Elementary Statistics, Statistical Methods and Statistical Methods Practicum aimed to equip students of Mathematics Education about descriptive statistics and inferential statistics. The students' understanding about descriptive and inferential statistics were important for students on Mathematics Education Department, especially for those who took the final task associated with quantitative research. In quantitative research, students were required to be able to present and describe the quantitative data in an appropriate manner, to make conclusions from their quantitative data, and to create relationships between independent and dependent variables were defined in their research. In fact, when students made their final project associated with quantitative research, it was not been rare still met the students making mistakes in the steps of making conclusions and error in choosing the hypothetical testing process. As a result, they got incorrect conclusions. This is a very fatal mistake for those who did the quantitative research. There were some things gained from the implementation of reflective pedagogy on teaching learning process in Statistical Methods and Statistical Methods Practicum courses, namely: 1. Twenty two students passed in this course and and one student did not pass in this course. 2. The value of the most accomplished student was A that was achieved by 18 students. 3. According all students, their critical stance could be developed by them, and they could build a caring for each other through a learning process in this course. 4. All students agreed that through a learning process that they undergo in the course, they can build a caring for each other.

Possible uses of animal databases for further statistical evaluation and modeling

International Nuclear Information System (INIS)

Griffith, W.C.; Boecker, B.B.; Gerber, G.B.

1995-01-01

Many studies have been performed in animals which mimic potential exposures of people in order to understand how factors modify radiation dose-response relationships. Cooperative analyses by investigators in different laboratories have a large potential for strengthening the conclusions that can be drawn from individual studies. When information on each animal is combined, then formal tests can be made to demonstrate that apparent consistencies or inconsistencies are statistically significant. Statistical methods must be carefully chosen so that differences between laboratories or studies can be controlled or described as part of the analysis in the interpretation of the conclusions. In this report, the example of bone cancer of the large number of studies of modifying factors for bone cancer available from studies in US and European laboratories

Association of infantile bruxism and the terminal relationships of the primary second molars.

Science.gov (United States)

Junqueira, Tatiana Helena; Nahás-Scocate, Ana Carla Raphaelli; Valle-Corotti, Karyna Martins do; Conti, Ana Claudia de Castro Ferreira; Trevisan, Shirley

2013-01-01

The aim of this study was to analyze the association between infantile bruxism and the terminal relationships of the primary second molars. A total of 937 pre-school children (both genders), aged from 2 to 6 years, from municipal schools in São Paulo were evaluated. In this study, a questionnaire considering the bruxism habit and the presence of headaches and/or restless sleep was answered by the parents/guardians. A clinical exam of occlusion in the anteroposterior direction (vertical plane - VP, mesial step - MS and distal step - DS) was performed by the examiners in the school environment. Student's t test, Fisher's test and a logistic regression test were applied for the statistical analysis at a significance level of 5%. The prevalence of the bruxism habit was 29.3% among the total sample. Because there was no significant difference between the sides evaluated, the left side was taken as the standard. Among those children with bruxism, 25.7% presented a mesial step terminal relationship at the primary second molars, 29.1% had DS, and 30.2% had VP. Regarding the association of the parafunctional habit with the type of terminal relationship, no significant results were found. Children who slept restlessly or suffered from headaches were verified to show a higher chance of expressing the habit (OR = 2.4 and 1.6, respectively). The prevalence of bruxism in the studied sample was 29.3%, and its association with the primary second molars' terminal relationship was not statistically significant.

Mathematics Anxiety and Statistics Anxiety. Shared but Also Unshared Components and Antagonistic Contributions to Performance in Statistics

Science.gov (United States)

Paechter, Manuela; Macher, Daniel; Martskvishvili, Khatuna; Wimmer, Sigrid; Papousek, Ilona

2017-01-01

In many social science majors, e.g., psychology, students report high levels of statistics anxiety. However, these majors are often chosen by students who are less prone to mathematics and who might have experienced difficulties and unpleasant feelings in their mathematics courses at school. The present study investigates whether statistics anxiety is a genuine form of anxiety that impairs students' achievements or whether learners mainly transfer previous experiences in mathematics and their anxiety in mathematics to statistics. The relationship between mathematics anxiety and statistics anxiety, their relationship to learning behaviors and to performance in a statistics examination were investigated in a sample of 225 undergraduate psychology students (164 women, 61 men). Data were recorded at three points in time: At the beginning of term students' mathematics anxiety, general proneness to anxiety, school grades, and demographic data were assessed; 2 weeks before the end of term, they completed questionnaires on statistics anxiety and their learning behaviors. At the end of term, examination scores were recorded. Mathematics anxiety and statistics anxiety correlated highly but the comparison of different structural equation models showed that they had genuine and even antagonistic contributions to learning behaviors and performance in the examination. Surprisingly, mathematics anxiety was positively related to performance. It might be that students realized over the course of their first term that knowledge and skills in higher secondary education mathematics are not sufficient to be successful in statistics. Part of mathematics anxiety may then have strengthened positive extrinsic effort motivation by the intention to avoid failure and may have led to higher effort for the exam preparation. However, via statistics anxiety mathematics anxiety also had a negative contribution to performance. Statistics anxiety led to higher procrastination in the structural

Mathematics Anxiety and Statistics Anxiety. Shared but Also Unshared Components and Antagonistic Contributions to Performance in Statistics.

Science.gov (United States)

Paechter, Manuela; Macher, Daniel; Martskvishvili, Khatuna; Wimmer, Sigrid; Papousek, Ilona

2017-01-01

In many social science majors, e.g., psychology, students report high levels of statistics anxiety. However, these majors are often chosen by students who are less prone to mathematics and who might have experienced difficulties and unpleasant feelings in their mathematics courses at school. The present study investigates whether statistics anxiety is a genuine form of anxiety that impairs students' achievements or whether learners mainly transfer previous experiences in mathematics and their anxiety in mathematics to statistics. The relationship between mathematics anxiety and statistics anxiety, their relationship to learning behaviors and to performance in a statistics examination were investigated in a sample of 225 undergraduate psychology students (164 women, 61 men). Data were recorded at three points in time: At the beginning of term students' mathematics anxiety, general proneness to anxiety, school grades, and demographic data were assessed; 2 weeks before the end of term, they completed questionnaires on statistics anxiety and their learning behaviors. At the end of term, examination scores were recorded. Mathematics anxiety and statistics anxiety correlated highly but the comparison of different structural equation models showed that they had genuine and even antagonistic contributions to learning behaviors and performance in the examination. Surprisingly, mathematics anxiety was positively related to performance. It might be that students realized over the course of their first term that knowledge and skills in higher secondary education mathematics are not sufficient to be successful in statistics. Part of mathematics anxiety may then have strengthened positive extrinsic effort motivation by the intention to avoid failure and may have led to higher effort for the exam preparation. However, via statistics anxiety mathematics anxiety also had a negative contribution to performance. Statistics anxiety led to higher procrastination in the structural

Mathematics Anxiety and Statistics Anxiety. Shared but Also Unshared Components and Antagonistic Contributions to Performance in Statistics

Directory of Open Access Journals (Sweden)

Manuela Paechter

2017-07-01

Full Text Available In many social science majors, e.g., psychology, students report high levels of statistics anxiety. However, these majors are often chosen by students who are less prone to mathematics and who might have experienced difficulties and unpleasant feelings in their mathematics courses at school. The present study investigates whether statistics anxiety is a genuine form of anxiety that impairs students' achievements or whether learners mainly transfer previous experiences in mathematics and their anxiety in mathematics to statistics. The relationship between mathematics anxiety and statistics anxiety, their relationship to learning behaviors and to performance in a statistics examination were investigated in a sample of 225 undergraduate psychology students (164 women, 61 men. Data were recorded at three points in time: At the beginning of term students' mathematics anxiety, general proneness to anxiety, school grades, and demographic data were assessed; 2 weeks before the end of term, they completed questionnaires on statistics anxiety and their learning behaviors. At the end of term, examination scores were recorded. Mathematics anxiety and statistics anxiety correlated highly but the comparison of different structural equation models showed that they had genuine and even antagonistic contributions to learning behaviors and performance in the examination. Surprisingly, mathematics anxiety was positively related to performance. It might be that students realized over the course of their first term that knowledge and skills in higher secondary education mathematics are not sufficient to be successful in statistics. Part of mathematics anxiety may then have strengthened positive extrinsic effort motivation by the intention to avoid failure and may have led to higher effort for the exam preparation. However, via statistics anxiety mathematics anxiety also had a negative contribution to performance. Statistics anxiety led to higher procrastination in

Statistical literacy for clinical practitioners

CERN Document Server

Holmes, William H

2014-01-01

This textbook on statistics is written for students in medicine, epidemiology, and public health. It builds on the important role evidence-based medicine now plays in the clinical practice of physicians, physician assistants and allied health practitioners. By bringing research design and statistics to the fore, this book can integrate these skills into the curricula of professional programs. Students, particularly practitioners-in-training, will learn statistical skills that are required of today’s clinicians. Practice problems at the end of each chapter and downloadable data sets provided by the authors ensure readers get practical experience that they can then apply to their own work.  Topics covered include:   Functions of Statistics in Clinical Research Common Study Designs Describing Distributions of Categorical and Quantitative Variables Confidence Intervals and Hypothesis Testing Documenting Relationships in Categorical and Quantitative Data Assessing Screening and Diagnostic Tests Comparing Mean...

Mental disorder and violence: is there a relationship beyond substance use?

Science.gov (United States)

Van Dorn, Richard; Volavka, Jan; Johnson, Norman

2012-03-01

A general consensus exists that severe mental illness (SMI) increases violence risk. However, a recent report claimed that SMI "alone was not statistically related to future violence in bivariate or multivariate analyses." We reanalyze the data used to make this claim with a focus on causal relationships between SMI and violence, rather than the statistical prediction of violence. Data are from the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC), a two-wave study (N = 34,653: Wave 1: 2001-2003; Wave 2: 2004-2005). Indicators of mental disorder in the year prior to Wave 1 were used to examine violence between Waves 1 and 2. Those with SMI, irrespective of substance abuse status, were significantly more likely to be violent than those with no mental or substance use disorders. This finding held in both bivariate and multivariable models. Those with comorbid mental and substance use disorders had the highest risk of violence. Historical and current conditions were also associated with violence, including childhood abuse and neglect, household antisocial behavior, binge drinking and stressful life events. These results, in contrast to a recently published report, show that the NESARC data are consistent with the consensus view on mental disorder and violence: there is a statistically significant, yet modest relationship between SMI (within 12 months) and violence, and a stronger relationship between SMI with substance use disorder and violence. These results also highlight the importance of premorbid conditions, and other contemporaneous clinical factors, in violent behavior.

Fear of crime and its relationship to self-reported health and stress among men

Directory of Open Access Journals (Sweden)

Gloria Macassa

2018-01-01

Design and Methods: The study used data collected from 2993 men through a cross sectional survey in the 2014 Health in Equal Terms survey. Descriptive and logistic regression analyses were carried out to study the relationship between fear of crime and self-reported health and stress. Results: There was a statistically significant association between fear of crime and self-reported poor health and stress among men residing in Gävleborg County. In the bivariate analysis, men who reported fear of crime had odds of 1.98 (CI 1.47- 2.66 and 2.23 (CI 1.45-3.41 respectively. Adjusting for demographic, social and economic variables in the multivariate analysis only reduced the odds ratio for self-reported poor health to 1.52 (CI 1.05-2.21 but not for self-reported stress with odds of 2.22 (1.27-3.86. Conclusions: Fear of crime among men was statistically significantly associated with self-reported poor health and stress in Gävleborg County. However, the statistically significant relationship remained even after accounting for demographic, social and economic factors, which warrants further research to better understand the role played by other variables.

Statistical mechanics of stochastic neural networks: Relationship between the self-consistent signal-to-noise analysis, Thouless-Anderson-Palmer equation, and replica symmetric calculation approaches

International Nuclear Information System (INIS)

Shiino, Masatoshi; Yamana, Michiko

2004-01-01

We study the statistical mechanical aspects of stochastic analog neural network models for associative memory with correlation type learning. We take three approaches to derive the set of the order parameter equations for investigating statistical properties of retrieval states: the self-consistent signal-to-noise analysis (SCSNA), the Thouless-Anderson-Palmer (TAP) equation, and the replica symmetric calculation. On the basis of the cavity method the SCSNA can be generalized to deal with stochastic networks. We establish the close connection between the TAP equation and the SCSNA to elucidate the relationship between the Onsager reaction term of the TAP equation and the output proportional term of the SCSNA that appear in the expressions for the local fields

Statistical power and the Rorschach: 1975-1991.

Science.gov (United States)

Acklin, M W; McDowell, C J; Orndoff, S

1992-10-01

The Rorschach Inkblot Test has been the source of long-standing controversies as to its nature and its psychometric properties. Consistent with behavioral science research in general, the concept of statistical power has been entirely ignored by Rorschach researchers. The concept of power is introduced and discussed, and a power survey of the Rorschach literature published between 1975 and 1991 in the Journal of Personality Assessment, Journal of Consulting and Clinical Psychology, Journal of Abnormal Psychology, Journal of Clinical Psychology, Journal of Personality, Psychological Bulletin, American Journal of Psychiatry, and Journal of Personality and Social Psychology was undertaken. Power was calculated for 2,300 statistical tests in 158 journal articles. Power to detect small, medium, and large effect sizes was .13, .56, and .85, respectively. Similar to the findings in other power surveys conducted on behavioral science research, we concluded that Rorschach research is underpowered to detect the differences under investigation. This undoubtedly contributes to the inconsistency of research findings which has been a source of controversy and criticism over the decades. It appears that research conducted according to the Comprehensive System for the Rorschach is more powerful. Recommendations are offered for improving power and strengthening the design sensitivity of Rorschach research, including increasing sample sizes, use of parametric statistics, reduction of error variance, more accurate reporting of findings, and editorial policies reflecting concern about the magnitude of relationships beyond an exclusive focus on levels of statistical significance.

Statistical learning and prejudice.

Science.gov (United States)

Madison, Guy; Ullén, Fredrik

2012-12-01

Human behavior is guided by evolutionarily shaped brain mechanisms that make statistical predictions based on limited information. Such mechanisms are important for facilitating interpersonal relationships, avoiding dangers, and seizing opportunities in social interaction. We thus suggest that it is essential for analyses of prejudice and prejudice reduction to take the predictive accuracy and adaptivity of the studied prejudices into account.

After statistics reform : Should we still teach significance testing?

NARCIS (Netherlands)

A. Hak (Tony)

2014-01-01

textabstractIn the longer term null hypothesis significance testing (NHST) will disappear because p- values are not informative and not replicable. Should we continue to teach in the future the procedures of then abolished routines (i.e., NHST)? Three arguments are discussed for not teaching NHST in

Method for determining appropriate statistical models of the random cyclic stress amplitudes of a stainless pipe weld metal

International Nuclear Information System (INIS)

Wang Jinnuo; Zhao Yongxiang; Wang Shaohua

2001-01-01

It is revealed by a strain-controlled fatigue test that there is a significant scatter of the cyclic stress-strain responses for a nuclear engineering material, 1Cr18Ni9Ti stainless steel pipe-weld metal. This implies that the existent deterministic analysis might be non-conservative. Taking into account the scatter, a method for determining the appropriate statistical models of material cyclic stress amplitudes is presented by considering the total fit, consistency with fatigue physics, and safety of design of seven commonly used distribution fitting into the test data. The seven distribution are Weibull (two-and three-parameter), normal, lognormal, extreme minimum value, extreme maximum value, and exponential. In the method, statistical parameters of the distributions are evaluated by a linear regression technique. Statistical tests are made by a transformation from t-distribution function to Pearson statistical parameter. Statistical tests are made by a transformation from t-distribution function to Pearson statistical parameter, i.e. the linear relationship coefficient. The total fit is assessed by a parameter so-called fitted relationship coefficient of the empirical and theoretical failure probabilities. The consistency with fatigue physics is analyzed by the hazard rate curves of distributions. The safety of design is measured by examining the change of predicted errors in the tail regions of distributions

The Complementary Relationship between Organizational Architecture and Organizational Agility An Empirical Study in Mobile Carriers of Erbil – Iraq

OpenAIRE

Laith Ali Yousif Al-Hakim; Thabit Hassan Thabit; Hamed Adel Abbas Al-Nasrawi

2017-01-01

The present research aims to investigate the relationship between organizational architecture and organizational agility in the mobile carriers of Erbil in Iraq. A questionnaire was conducted on mobile companies based on a random sampling technique. The results show there is a statistically significance and positive relation between organizational architecture and organizational agility. The results also indicated that organizational architecture has a statistically significant and direct pos...

Relationship between particulate matter and childhood asthma - basis of a future warning system for central Phoenix

Science.gov (United States)

Dimitrova, R.; Lurponglukana, N.; Fernando, H. J. S.; Runger, G. C.; Hyde, P.; Hedquist, B. C.; Anderson, J.; Bannister, W.; Johnson, W.

2012-03-01

Statistically significant correlations between increase of asthma attacks in children and elevated concentrations of particulate matter of diameter 10 microns and less (PM10) were determined for metropolitan Phoenix, Arizona. Interpolated concentrations from a five-site network provided spatial distribution of PM10 that was mapped onto census tracts with population health records. The case-crossover statistical method was applied to determine the relationship between PM10 concentration and asthma attacks. For children ages 5-17, a significant relationship was discovered between the two, while children ages 0-4 exhibited virtually no relationship. The risk of adverse health effects was expressed as a function of the change from the 25th to 75th percentiles of mean level PM10 (36 μg m-3). This increase in concentration was associated with a 12.6% (95% CI: 5.8%, 19.4%) increase in the log odds of asthma attacks among children ages 5-17. Neither gender nor other demographic variables were significant. The results are being used to develop an asthma early warning system for the study area.

Prognostic significance of MCM 2 and Ki-67 in neuroblastic tumors in children.

Science.gov (United States)

Lewandowska, Magdalena; Taran, Katarzyna; Sitkiewicz, Anna; Andrzejewska, Ewa

2015-12-02

Neuroblastic tumors can be characterized by three features: spontaneous regression, maturation and aggressive proliferation. The most common and routinely used method of assessing tumor cell proliferation is to determine the Ki-67 index in the tumor tissue. Despite numerous studies, neuroblastoma biology is not fully understood, which makes treatment results unsatisfactory. MCM 2 is a potential prognostic factor in the neuroblastoma group. The study is based on retrospective analysis of 35 patients treated for neuroblastic tumors in the Department of Pediatric Surgery and Oncology of the Medical University of Lodz, during the period 2001-2011. The material comprised tissues of 16 tumors excised during the operation and 19 biopsy specimens. Immunohistochemical examinations were performed with immunoperoxidase using mouse monoclonal anti-MCM 2 and anti-Ki-67 antibodies. We observed that MCM 2 expression ranged from 2% to 98% and the Ki-67 index ranged from 0 to 95%. There was a statistically significant correlation between expression of MCM 2 and the value of the Ki-67 index and a correlation close to statistical significance between expression of MCM 2 and unfavorable histopathology. There was no statistical relationship between expression of MCM 2 and age over 1 year and N-myc amplification. The presented research shows that MCM 2 may have prognostic significance in neuroblastic pediatric tumors and as a potential prognostic factor could be the starting point of new individualized therapy.

Relationship between Organizational Culture and Performance Management Practices: A Case of University in Pakistan

Directory of Open Access Journals (Sweden)

Ul Mujeeb Ehtesham

2011-12-01

Full Text Available The aim of this study is to expand the base of knowledge and empirically test the relationship between the components of organizational culture and performance management practices. The study adopted the exploratory research approach to explore the impact. In this study, primary data was collected through questionnaires from 140 employees at the COMSATS Institute of Information Technology. The sample consists of both male and female faculty members. The regression and correlation statistical analysis were used. The results from the statistical analysis show that, involvement is highly correlated with consistency and adaptability. Similarly, the other dimensions of organizational culture have a positive significant relationship with the performance management practices.

Statistical principles for prospective study protocols:

DEFF Research Database (Denmark)

Christensen, Robin; Langberg, Henning

2012-01-01

In the design of scientific studies it is essential to decide on which scientific questions one aims to answer, just as it is important to decide on the correct statistical methods to use to answer these questions. The correct use of statistical methods is crucial in all aspects of research...... to quantify relationships in data. Despite an increased focus on statistical content and complexity of biomedical research these topics remain difficult for most researchers. Statistical methods enable researchers to condense large spreadsheets with data into means, proportions, and difference between means......, risk differences, and other quantities that convey information. One of the goals in biomedical research is to develop parsimonious models - meaning as simple as possible. This approach is valid if the subsequent research report (the article) is written independent of whether the results...

Reducing statistics anxiety and enhancing statistics learning achievement: effectiveness of a one-minute strategy.

Science.gov (United States)

Chiou, Chei-Chang; Wang, Yu-Min; Lee, Li-Tze

2014-08-01

Statistical knowledge is widely used in academia; however, statistics teachers struggle with the issue of how to reduce students' statistics anxiety and enhance students' statistics learning. This study assesses the effectiveness of a "one-minute paper strategy" in reducing students' statistics-related anxiety and in improving students' statistics-related achievement. Participants were 77 undergraduates from two classes enrolled in applied statistics courses. An experiment was implemented according to a pretest/posttest comparison group design. The quasi-experimental design showed that the one-minute paper strategy significantly reduced students' statistics anxiety and improved students' statistics learning achievement. The strategy was a better instructional tool than the textbook exercise for reducing students' statistics anxiety and improving students' statistics achievement.

Evaluation of significantly modified water bodies in Vojvodina by using multivariate statistical techniques

Directory of Open Access Journals (Sweden)

Vujović Svetlana R.

2013-01-01

Full Text Available This paper illustrates the utility of multivariate statistical techniques for analysis and interpretation of water quality data sets and identification of pollution sources/factors with a view to get better information about the water quality and design of monitoring network for effective management of water resources. Multivariate statistical techniques, such as factor analysis (FA/principal component analysis (PCA and cluster analysis (CA, were applied for the evaluation of variations and for the interpretation of a water quality data set of the natural water bodies obtained during 2010 year of monitoring of 13 parameters at 33 different sites. FA/PCA attempts to explain the correlations between the observations in terms of the underlying factors, which are not directly observable. Factor analysis is applied to physico-chemical parameters of natural water bodies with the aim classification and data summation as well as segmentation of heterogeneous data sets into smaller homogeneous subsets. Factor loadings were categorized as strong and moderate corresponding to the absolute loading values of >0.75, 0.75-0.50, respectively. Four principal factors were obtained with Eigenvalues >1 summing more than 78 % of the total variance in the water data sets, which is adequate to give good prior information regarding data structure. Each factor that is significantly related to specific variables represents a different dimension of water quality. The first factor F1 accounting for 28 % of the total variance and represents the hydrochemical dimension of water quality. The second factor F2 accounting for 18% of the total variance and may be taken factor of water eutrophication. The third factor F3 accounting 17 % of the total variance and represents the influence of point sources of pollution on water quality. The fourth factor F4 accounting 13 % of the total variance and may be taken as an ecological dimension of water quality. Cluster analysis (CA is an

Relationship between interaction parent-child with addictability rate and heterosexual orientation in students

Directory of Open Access Journals (Sweden)

Abbas Ali Hosseinkhanzadeh

2014-02-01

Full Text Available Objective: the purpose of this study was to study relationship between interaction parent-child with addictability rate and heterosexual orientation in students. Method: The statistical population consisted of all students of Guilan University in 2012-2013 academic year, which among them a sample of 200 students were selected by random cluster sampling method and they completed preparation to addiction scale relationship between parent–child scale and attitude and heterosexual orientation before marriage. Findings: Correlation analysis indicated a significant negative correlation between addictability in female students and male students with relationship with father, and positive affect, interlace and communication subscales. The relationship between female students’ addictability with relationship with mother and positive affect, hurt and confusion and communication subscales was observed significant negative correlation, also there is a significant negative relationship between male students’ addictability with the relationship with mother. There is significant negative relationship between heterosexual orientations in male students with relation with father, positive affects and interlace. Results of regression analysis showed that relationship with father and relationship with mother can anticipate addict ability in female and male students. Conclusion: If parents cannot establish an appropriate and constructive interaction with their child cause child face with affection and emotional deprivation and this poor emotional and affection deprivation may cause he or she bring to the addict ability and heterosexual orientation.

Testing earthquake prediction algorithms: Statistically significant advance prediction of the largest earthquakes in the Circum-Pacific, 1992-1997

Science.gov (United States)

Kossobokov, V.G.; Romashkova, L.L.; Keilis-Borok, V. I.; Healy, J.H.

1999-01-01

Algorithms M8 and MSc (i.e., the Mendocino Scenario) were used in a real-time intermediate-term research prediction of the strongest earthquakes in the Circum-Pacific seismic belt. Predictions are made by M8 first. Then, the areas of alarm are reduced by MSc at the cost that some earthquakes are missed in the second approximation of prediction. In 1992-1997, five earthquakes of magnitude 8 and above occurred in the test area: all of them were predicted by M8 and MSc identified correctly the locations of four of them. The space-time volume of the alarms is 36% and 18%, correspondingly, when estimated with a normalized product measure of empirical distribution of epicenters and uniform time. The statistical significance of the achieved results is beyond 99% both for M8 and MSc. For magnitude 7.5 + , 10 out of 19 earthquakes were predicted by M8 in 40% and five were predicted by M8-MSc in 13% of the total volume considered. This implies a significance level of 81% for M8 and 92% for M8-MSc. The lower significance levels might result from a global change in seismic regime in 1993-1996, when the rate of the largest events has doubled and all of them become exclusively normal or reversed faults. The predictions are fully reproducible; the algorithms M8 and MSc in complete formal definitions were published before we started our experiment [Keilis-Borok, V.I., Kossobokov, V.G., 1990. Premonitory activation of seismic flow: Algorithm M8, Phys. Earth and Planet. Inter. 61, 73-83; Kossobokov, V.G., Keilis-Borok, V.I., Smith, S.W., 1990. Localization of intermediate-term earthquake prediction, J. Geophys. Res., 95, 19763-19772; Healy, J.H., Kossobokov, V.G., Dewey, J.W., 1992. A test to evaluate the earthquake prediction algorithm, M8. U.S. Geol. Surv. OFR 92-401]. M8 is available from the IASPEI Software Library [Healy, J.H., Keilis-Borok, V.I., Lee, W.H.K. (Eds.), 1997. Algorithms for Earthquake Statistics and Prediction, Vol. 6. IASPEI Software Library]. ?? 1999 Elsevier

The effects of financial risks on the relationship between earnings and stock returns

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Mehri Akhavi Babi

2015-06-01

Full Text Available This study was conducted to investigate the effects of financial risks on the relationship between earnings per share and stock returns. The statistical population of the study consisted of the companies accepted by Tehran Stock Exchange. According to the conditions for sampling, 65 companies were selected during a period of six years from 2008 to 2013 (i.e., 390 fiscal years, and four hypotheses were set forth to achieve the purposes of the study. The first hypothesis tried to assess the relationship between earnings per share and stock returns. The second, third, and fourth hypotheses investigated the significance of the effects of three financial risks, namely liquidity, credit, and solvency risks on the relationship between earnings per share and stock returns. The hypotheses of the study were tested using linear and multiple regressions. The findings of the study indicated that there was a positive and significant relationship between earnings per share and stock returns. In addition, the results proved that the credit and solvency risks had negative and significant effects on the relationship between earnings per share and stock returns, but the effect of liquidity risk on this relationship was not significant.

Statistical Seismology and Induced Seismicity

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Tiampo, K. F.; González, P. J.; Kazemian, J.

2014-12-01

While seismicity triggered or induced by natural resources production such as mining or water impoundment in large dams has long been recognized, the recent increase in the unconventional production of oil and gas has been linked to rapid rise in seismicity in many places, including central North America (Ellsworth et al., 2012; Ellsworth, 2013). Worldwide, induced events of M~5 have occurred and, although rare, have resulted in both damage and public concern (Horton, 2012; Keranen et al., 2013). In addition, over the past twenty years, the increase in both number and coverage of seismic stations has resulted in an unprecedented ability to precisely record the magnitude and location of large numbers of small magnitude events. The increase in the number and type of seismic sequences available for detailed study has revealed differences in their statistics that previously difficult to quantify. For example, seismic swarms that produce significant numbers of foreshocks as well as aftershocks have been observed in different tectonic settings, including California, Iceland, and the East Pacific Rise (McGuire et al., 2005; Shearer, 2012; Kazemian et al., 2014). Similarly, smaller events have been observed prior to larger induced events in several occurrences from energy production. The field of statistical seismology has long focused on the question of triggering and the mechanisms responsible (Stein et al., 1992; Hill et al., 1993; Steacy et al., 2005; Parsons, 2005; Main et al., 2006). For example, in most cases the associated stress perturbations are much smaller than the earthquake stress drop, suggesting an inherent sensitivity to relatively small stress changes (Nalbant et al., 2005). Induced seismicity provides the opportunity to investigate triggering and, in particular, the differences between long- and short-range triggering. Here we investigate the statistics of induced seismicity sequences from around the world, including central North America and Spain, and

Cardiovascular Reactivity During Marital Conflict in Laboratory and Naturalistic Settings: Differential Associations with Relationship and Individual Functioning Across Contexts.

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Baucom, Brian R W; Baucom, Katherine J W; Hogan, Jasara N; Crenshaw, Alexander O; Bourne, Stacia V; Crowell, Sheila E; Georgiou, Panayiotis; Goodwin, Matthew S

2018-03-25

Cardiovascular reactivity during spousal conflict is considered to be one of the main pathways for relationship distress to impact physical, mental, and relationship health. However, the magnitude of association between cardiovascular reactivity during laboratory marital conflict and relationship functioning is small and inconsistent given the scope of its importance in theoretical models of intimate relationships. This study tests the possibility that cardiovascular data collected in laboratory settings downwardly bias the magnitude of these associations when compared to measures obtained in naturalistic settings. Ambulatory cardiovascular reactivity data were collected from 20 couples during two relationship conflicts in a research laboratory, two planned relationship conflicts at couples' homes, and two spontaneous relationship conflicts during couples' daily lives. Associations between self-report measures of relationship functioning, individual functioning, and cardiovascular reactivity across settings are tested using multilevel models. Cardiovascular reactivity was significantly larger during planned and spontaneous relationship conflicts in naturalistic settings than during planned relationship conflicts in the laboratory. Similarly, associations with relationship and individual functioning variables were statistically significantly larger for cardiovascular data collected in naturalistic settings than the same data collected in the laboratory. Our findings suggest that cardiovascular reactivity during spousal conflict in naturalistic settings is statistically significantly different from that elicited in laboratory settings both in magnitude and in the pattern of associations with a wide range of inter- and intrapersonal variables. These differences in findings across laboratory and naturalistic physiological responses highlight the value of testing physiological phenomena across interaction contexts in romantic relationships. © 2018 Family Process

The relationship between Cyber-Loafing and internet addiction

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Hafize Keser

2016-03-01

Full Text Available The goal of this study was to investigate the relationship between preservice teachers’ internet addiction level and cyber-loafing activities. This study was conducted as a survey study. Participants of the study was Computer Education and Instructional Technology department students (n=139 at Ankara University. “Cyber loafing activity Scale” originally developed by Blanchard and Henle (2008, adopted to Turkish by Kalayci (2010 and updated by Yasar (2013 and “Internet Addiction Scale” developed by Sahin and Korkmaz (2011 was used as data collection instruments. To analyze the data descriptive statistics, Mann Whitney U, Kruskal Wallis H, and Spearman Rho Correlation coefficients was used. There were significant differences between the gender groups both in cyber-loafing activities and internet addiction levels. Male preservice teacher had higher internet addiction levels and cyber-loafing activity scores in average. However there were not significant differences between different groups based on grade level, period of internet usage, perceived internet ability, both for cyber-loafing activities and internet addiction levels. There were a moderate positive relationships between internet addiction and individual cyber-loafing, and search cyber-loafing. There were also a small positive relationships between internet addiction and social cyber-loafing. There was not a significant relationship between internet addiction and news cyber-loafing.

The relationship between employees’ self-esteem and pertinacity

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Jafar Beikzad

2012-01-01

Full Text Available The purpose of this paper is to evaluate the relationship between employees’ of East Azarbaijan Melli bank (zone 10 self-esteem and pertinacity. For this reason, employee’s self-esteem was arranged in two dimensions, which are consistency solidity, emotional inconsistency and pertinacity. The questionnaire is based on Kobasa theory including three sides including commitment, control and defiance. There are two basic and three subsidiary theories. Employee of East Azarbaijan Melli bank (zone 10 is statistical society of this research, which includes 80 people. Reference to restricted volume of statistical society, total statistical society is concerned as under evaluation society. The tool of data gathering is two questionnaires, which are Aizenc’s self-esteem questionnaire and Kobasa’s pertinacity standard questionnaire, which are delivered for evaluating society after perpetuity and justifiability determination. The descriptive statistical methods are used for collected questionnaires analyze. Thus, the descriptive statistical method was used to summarize, to categorize and to interpret statistical data’s. In addition, statistical tests such as Pearson and Freidman’s coherency R are used to test the hypothesis of research. The results indicate that there is a meaningful relationship between self-esteem and pertinacity and its sides on employees of East Azarbaijan Melli bank (zone 10. They present maximum relationship between self-esteem and pertinacity control and minimum relationship between pertinacity commitment dimensions.

The relationship between the C-statistic of a risk-adjustment model and the accuracy of hospital report cards: a Monte Carlo Study.

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Austin, Peter C; Reeves, Mathew J

2013-03-01

Hospital report cards, in which outcomes following the provision of medical or surgical care are compared across health care providers, are being published with increasing frequency. Essential to the production of these reports is risk-adjustment, which allows investigators to account for differences in the distribution of patient illness severity across different hospitals. Logistic regression models are frequently used for risk adjustment in hospital report cards. Many applied researchers use the c-statistic (equivalent to the area under the receiver operating characteristic curve) of the logistic regression model as a measure of the credibility and accuracy of hospital report cards. To determine the relationship between the c-statistic of a risk-adjustment model and the accuracy of hospital report cards. Monte Carlo simulations were used to examine this issue. We examined the influence of 3 factors on the accuracy of hospital report cards: the c-statistic of the logistic regression model used for risk adjustment, the number of hospitals, and the number of patients treated at each hospital. The parameters used to generate the simulated datasets came from analyses of patients hospitalized with a diagnosis of acute myocardial infarction in Ontario, Canada. The c-statistic of the risk-adjustment model had, at most, a very modest impact on the accuracy of hospital report cards, whereas the number of patients treated at each hospital had a much greater impact. The c-statistic of a risk-adjustment model should not be used to assess the accuracy of a hospital report card.

Relationship of bifenthrin sediment concentrations to grain size and total organic carbon in California waterbodies: implications for ecological risk.

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Hall, Lenwood W; Anderson, Ronald D

2014-12-01

A summary analysis of data sets from six California waterbodies was conducted to determine the relationship of bifenthrin sediment concentrations to: % sand/gravel; % silt; % clay; % silt/clay and % total organic carbon (TOC). The relationship of TOC to % sand/gravel, % silt, % clay, and % silt/clay was also analyzed. Statistically significant and meaningful direct relationships were reported between bifenthrin and % TOC, % silt, % clay and % silt/clay while a significant and meaningful inverse relationship was reported between bifenthrin and % sand/gravel. A significant and meaningful inverse relationship was reported between % TOC and % sand/gravel, while a significant and meaningful direct relationship was reported between % TOC and % silt, % clay and % silt/clay. Significant bifenthrin sediment concentrations would not be expected in non-depositional (sand/gravel) areas which have been reported to be dominant in various streams in California's Central Valley and are also the preferred habitat for many benthic macroinvertebrate taxa.

Statistical study of phase relationships between magnetic and plasma thermal pressures in the near-earth magnetosphere using the THEMIS satellites

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Nishi, K.; Kazuo, S.

2017-12-01

The auroral finger-like structures appear in the equatorward part of the auroral oval in the diffuse auroral region, and contribute to the auroral fragmentation into patches during substorm recovery phase. In our previous presentations, we reported the first conjugate observation of auroral finger-like structures using the THEMIS GBO cameras and the THEMIS satellites, which was located at a radial distance of 9 Re in the dawnside plasma sheet. In this conjugate event, we found anti-phase fluctuation of plasma pressure and magnetic pressure with a time scale of 5-20 min in the plasma sheet. This observational fact is consistent with the idea that the finger-like structures are caused by a pressure-driven instability in the balance of plasma and magnetic pressures in the magnetosphere. Then we also searched simultaneous observation events of auroral finger-like structures with the RBSP satellites which have an apogee of 5.8 Re in the inner magnetosphere. Contrary to the first result, the observed variation of plasma and magnetic pressures do not show systematic phase relationship. In order to investigate these phase relationships between plasma and magnetic pressures in the magnetosphere, we statistically analyzed these pressure data using the THEMIS-E satellite for one year in 2011. In the preliminary analysis of pressure variation spectra, we found that out of phase relationship between magnetic and plasma pressures occupied 40 % of the entire period of study. In the presentation, we will discuss these results in the context of relationships between the pressure fluctuations and the magnetospheric instabilities that can cause auroral finger-like structures.

A novel complete-case analysis to determine statistical significance between treatments in an intention-to-treat population of randomized clinical trials involving missing data.

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Liu, Wei; Ding, Jinhui

2018-04-01

The application of the principle of the intention-to-treat (ITT) to the analysis of clinical trials is challenged in the presence of missing outcome data. The consequences of stopping an assigned treatment in a withdrawn subject are unknown. It is difficult to make a single assumption about missing mechanisms for all clinical trials because there are complicated reactions in the human body to drugs due to the presence of complex biological networks, leading to data missing randomly or non-randomly. Currently there is no statistical method that can tell whether a difference between two treatments in the ITT population of a randomized clinical trial with missing data is significant at a pre-specified level. Making no assumptions about the missing mechanisms, we propose a generalized complete-case (GCC) analysis based on the data of completers. An evaluation of the impact of missing data on the ITT analysis reveals that a statistically significant GCC result implies a significant treatment effect in the ITT population at a pre-specified significance level unless, relative to the comparator, the test drug is poisonous to the non-completers as documented in their medical records. Applications of the GCC analysis are illustrated using literature data, and its properties and limits are discussed.

A critical look at prospective surveillance using a scan statistic.

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Correa, Thais R; Assunção, Renato M; Costa, Marcelo A

2015-03-30

The scan statistic is a very popular surveillance technique for purely spatial, purely temporal, and spatial-temporal disease data. It was extended to the prospective surveillance case, and it has been applied quite extensively in this situation. When the usual signal rules, as those implemented in SaTScan(TM) (Boston, MA, USA) software, are used, we show that the scan statistic method is not appropriate for the prospective case. The reason is that it does not adjust properly for the sequential and repeated tests carried out during the surveillance. We demonstrate that the nominal significance level α is not meaningful and there is no relationship between α and the recurrence interval or the average run length (ARL). In some cases, the ARL may be equal to ∞, which makes the method ineffective. This lack of control of the type-I error probability and of the ARL leads us to strongly oppose the use of the scan statistic with the usual signal rules in the prospective context. Copyright © 2014 John Wiley & Sons, Ltd.

Correlates of Sexual Functioning and Relationship Satisfaction Among Men and Women Experiencing Chronic Pain.

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Finn, Erica; Morrison, Todd G; McGuire, Brian E

2018-05-01

The aims of the study were to 1) examine the prevalence of sexual functioning difficulties in a chronic pain sample; 2) identify correlates of sexual functioning and relationship satisfaction utilizing pain variables (pain severity and pain interference) and psychological variables (mood, pain-related cognitions, self-efficacy, self-esteem, body-image); and 3) investigate possible sex differences in the correlates of sexual functioning and relationship satisfaction. Two hundred sixty-nine participants were recruited online from chronic pain organizations, websites, social media sites, and discussion forums. Those who met criteria for inclusion were presented with a variety of measures related to pain, sexual functioning, and relationship satisfaction (for those in a relationship), as well as cognitive and affective variables. Participant mean age was 37 years, and the majority were female, heterosexual, and currently in a relationship. High levels of pain severity and interference from pain, fatigue, depression, anxiety, stress, and body image concerns were reported, along with low levels of self-esteem and pain self-efficacy. In addition, substantial proportions of male (43%) and female (48%) respondents had scores indicative of sexual problems. Exploratory hierarchical regression analyses revealed that, for women, age and relationship satisfaction (which were both treated as covariates) as well as depression emerged as statistically significant correlates of sexual functioning (i.e., women who were older and reported greater levels of depression and less satisfaction with their current relationship indicated poorer sexual functioning). When relationship satisfaction was the criterion measure, age and sexual functioning (again, treated as covariates) and perceived stress emerged as significant (i.e., women who were older, reported poorer sexual functioning, and reported greater perceived stress also indicated being less satisfied with their current relationship

Statistical relationship between surface PM10 concentration and aerosol optical depth over the Sahel as a function of weather type, using neural network methodology

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Yahi, H.; Marticorena, B.; Thiria, S.; Chatenet, B.; Schmechtig, C.; Rajot, J. L.; Crepon, M.

2013-12-01

work aims at assessing the capability of passive remote-sensed measurements such as aerosol optical depth (AOD) to monitor the surface dust concentration during the dry season in the Sahel region (West Africa). We processed continuous measurements of AODs and surface concentrations for the period (2006-2010) in Banizoumbou (Niger) and Cinzana (Mali). In order to account for the influence of meteorological condition on the relationship between PM10 surface concentration and AOD, we decomposed the mesoscale meteorological fields surrounding the stations into five weather types having similar 3-dimensional atmospheric characteristics. This classification was obtained by a clustering method based on nonlinear artificial neural networks, the so-called self-organizing map. The weather types were identified by processing tridimensional fields of meridional and zonal winds and air temperature obtained from European Centre for Medium-Range Weather Forecasts (ECMWF) model output centered on each measurement station. Five similar weather types have been identified at the two stations. Three of them are associated with the Harmattan flux; the other two correspond to northward inflow of the monsoon flow at the beginning or the end of the dry season. An improved relationship has been found between the surface PM10 concentrations and the AOD by using a dedicated statistical relationship for each weather type. The performances of the statistical inversion computed on the test data sets show satisfactory skills for most of the classes, much better than a linear regression. This should permit the inversion of the mineral dust concentration from AODs derived from satellite observations over the Sahel.

Probability and Bayesian statistics

CERN Document Server

1987-01-01

This book contains selected and refereed contributions to the "Inter­ national Symposium on Probability and Bayesian Statistics" which was orga­ nized to celebrate the 80th birthday of Professor Bruno de Finetti at his birthplace Innsbruck in Austria. Since Professor de Finetti died in 1985 the symposium was dedicated to the memory of Bruno de Finetti and took place at Igls near Innsbruck from 23 to 26 September 1986. Some of the pa­ pers are published especially by the relationship to Bruno de Finetti's scientific work. The evolution of stochastics shows growing importance of probability as coherent assessment of numerical values as degrees of believe in certain events. This is the basis for Bayesian inference in the sense of modern statistics. The contributions in this volume cover a broad spectrum ranging from foundations of probability across psychological aspects of formulating sub­ jective probability statements, abstract measure theoretical considerations, contributions to theoretical statistics an...

The Relationship Between Internal Motivation And Customer Satisfaction Of Posthaste Purchase

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Farbodsouri

2017-06-01

Full Text Available The purpose of this study is performing an empirical study in the field of marketing in order to examine the relationship between internal motivation and customer satisfaction of posthaste purchase in stores that researcher made model have been used.In this model the relationship between internal motivation and customer satisfaction of posthaste purchase was investigated. To review research sample of 385 customers was selected as a stepwise clustering. Data gathered by standard questionnaire with 21 questions that its validity and reliability was confirmed and distributed among the statistical population. Data analysis was performed using descriptive statistics and inferential statistics. At the level of Descriptive statistics indices such as frequency and frequency percentage were used and in inferential statistics correlation methods structural equation modeling path analysis has been done using the spss and lisrel software. The results of the analysis showing the existence of a significant and positive impact of internal motivation on customer satisfaction of posthaste buying. In general the ability of the Tehran Hyperstar chain store to increase customers satisfaction of posthaste buying must pay special attention to the effective internal motivation of customers the impulsivity the pleasure of shopping fashion involvement personal identity p050.

[Relationship between family variables and conjugal adjustment].

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Jiménez-Picón, Nerea; Lima-Rodríguez, Joaquín-Salvador; Lima-Serrano, Marta

2018-04-01

To determine whether family variables, such as type of relationship, years of marriage, existence of offspring, number of members of family, stage of family life cycle, transition between stages, perceived social support, and/or stressful life events are related to conjugal adjustment. A cross-sectional and correlational study using questionnaires. Primary care and hospital units of selected centres in the province of Seville, Spain. Consecutive stratified sampling by quotas of 369 heterosexual couples over 18years of age, who maintained a relationship, with or without children, living in Seville. A self-report questionnaire for the sociodemographic variables, and the abbreviated version of the Dyadic Adjustment Scale, Questionnaire MOS Perceived Social Support, and Social Readjustment Rating Scale, were used. Descriptive and inferential statistics were performed with correlation analysis and multivariate regression. Statistically significant associations were found between conjugal adjustment and marriage years (r=-10: Pfamily life cycle (F=2.65; Pfamily life cycle stage (mature-aged stage) on conjugal adjustment (R2=.21; F=9.9; df=356; Prelationship. Copyright © 2017 Elsevier España, S.L.U. All rights reserved.

Relationship between cosmetic surgery and psychological variables

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Reyhaneh souri

2017-01-01

Full Text Available Objective: The main aim of this paper is to examine the relationship between cosmetic surgery and psychological variables such as self-esteem and marital satisfaction along with its components in Iran. Methods: The study had an ex-post facto, pre-post-test design. Using purposive sampling method, a total of 30 married women, who had referred for cosmetic surgery to clinics in Tehran, were incorporated during a six-month period. Data collection instruments included Enrich Marital Satisfaction Scale and Coopersmith Self-Esteem Inventory. The obtained data were analyzed using inferential statistics (analysis of variance for repeated measures, related sample test, and Pearson correlation coefficient. Results: According to the results of this study, some components of marital satisfaction (such as marital relations, financial management, leisure, and sex and self-esteem of women before and after cosmetic surgery is statistically significant also there is a relationship betwean marital satisfaction and self-esteem, as self-esteem increases, marital satisfaction rises too. Conclusion: Performance of such surgeries always presents risks, and advice should be sought before making any decision about the surgery.

Relationship of milking rate to somatic cell count.

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Brown, C A; Rischette, S J; Schultz, L H

1986-03-01

Information on milking rate, monthly bucket somatic cell counts, mastitis treatment, and milk production was obtained from 284 lactations of Holstein cows separated into three lactation groups. Significant correlations between somatic cell count (linear score) and other parameters included production in lactation 1 (-.185), production in lactation 2 (-.267), and percent 2-min milk in lactation 2 (.251). Somatic cell count tended to increase with maximum milking rate in all lactations, but correlations were not statistically significant. Twenty-nine percent of cows with milking rate measurements were treated for clinical mastitis. Treated cows in each lactation group produced less milk than untreated cows. In the second and third lactation groups, treated cows had a shorter total milking time and a higher percent 2-min milk than untreated cows, but differences were not statistically significant. Overall, the data support the concept that faster milking cows tend to have higher cell counts and more mastitis treatments, particularly beyond first lactation. However, the magnitude of the relationship was small.

Significant Factors Related to Failed Pediatric Dental General Anesthesia Appointments at a Hospital-based Residency Program.

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Emhardt, John R; Yepes, Juan F; Vinson, LaQuia A; Jones, James E; Emhardt, John D; Kozlowski, Diana C; Eckert, George J; Maupome, Gerardo

2017-05-15

The purposes of this study were to: (1) evaluate the relationship between appointment failure and the factors of age, gender, race, insurance type, day of week, scheduled time of surgery, distance traveled, and weather; (2) investigate reasons for failure; and (3) explore the relationships between the factors and reasons for failure. Electronic medical records were accessed to obtain data for patients scheduled for dental care under general anesthesia from May 2012 to May 2015. Factors were analyzed for relation to appointment failure. Data from 3,513 appointments for 2,874 children were analyzed. Bivariate associations showed statistically significant (Pgeneral anesthesia face specific barriers to care.

Effects of perceived smoking-cancer relationship and cardiovascular health attitudes on childrens' views of smoking.

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Bektas, Ilknur; Bektas, Murat; Selekoğlu, Yasemin; Kudubes, Aslı Akdeniz; Altan, Sema Sal; Ayar, Dijle

2015-01-01

This study was conducted with the aim of determining how students' perceived smoking-cancer relationship and cardiovascular health attitudes affect childrens' views of smoking. The sample of this descriptive-cross sectional study comprised 574 subjects between the ages of 11-15. The data were collected using the Children's Cardiovascular Health Promotion Attitude Scale and the Children's Decisional Balance Measure for Assessing and Predicting Smoking Status. Correlation and logistic regression were used for analysis. It was determined that a statistically significant relationship exists between the attitudes of children towards smoking and their ideas about the relationship of smoking with cancer, which is negative and low (r=-0.223). There was also a statistically significant relationship between their attitudes towards cardiovascular health and their attitudes towards smoking, again at a low level (r=0.257). It was determined that children with ideas about smoking and cancer were 9.4 times less likely to have positive/negative attitudes towards smoking, while positive attitudes towards cardiovascular health made negative attitudes towards smoking 3.9 times less likely. It was determined that the attitudes of students towards cardiovascular health and their perceptions of smoking and cancer reduced the positive perceptions towards smoking.

Relationships Between Potentiation Effects After Ballistic Half-Squats and Bilateral Symmetry.

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Suchomel, Timothy J; Sato, Kimitake; DeWeese, Brad H; Ebben, William P; Stone, Michael H

2016-05-01

The purposes of this study were to examine the effect of ballistic concentric-only half-squats (COHS) on subsequent squat-jump (SJ) performances at various rest intervals and to examine the relationships between changes in SJ performance and bilateral symmetry at peak performance. Thirteen resistance-trained men performed an SJ immediately and every minute up to 10 min on dual force plates after 2 ballistic COHS repetitions at 90% of their 1-repetition-maximum COHS. SJ peak force, peak power, net impulse, and rate of force development (RFD) were compared using a series of 1-way repeated-measures ANOVAs. The percent change in performance at which peak performance occurred for each variable was correlated with the symmetry index scores at the corresponding time point using Pearson correlation coefficients. Statistical differences in peak power (P = .031) existed between rest intervals; however, no statistically significant pairwise comparisons were present (P > .05). No statistical differences in peak force (P = .201), net impulse (P = .064), and RFD (P = .477) were present between rest intervals. The relationships between changes in SJ performance and bilateral symmetry after the rest interval that produced the greatest performance for peak force (r = .300, P = .319), peak power (r = -.041, P = .894), net impulse (r = -.028, P = .927), and RFD (r = -.434, P = .138) were not statistically significant. Ballistic COHS may enhance SJ performance; however, the changes in performance were not related to bilateral symmetry.

Statistical distributions of optimal global alignment scores of random protein sequences

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Tang Jiaowei

2005-10-01

Full Text Available Abstract Background The inference of homology from statistically significant sequence similarity is a central issue in sequence alignments. So far the statistical distribution function underlying the optimal global alignments has not been completely determined. Results In this study, random and real but unrelated sequences prepared in six different ways were selected as reference datasets to obtain their respective statistical distributions of global alignment scores. All alignments were carried out with the Needleman-Wunsch algorithm and optimal scores were fitted to the Gumbel, normal and gamma distributions respectively. The three-parameter gamma distribution performs the best as the theoretical distribution function of global alignment scores, as it agrees perfectly well with the distribution of alignment scores. The normal distribution also agrees well with the score distribution frequencies when the shape parameter of the gamma distribution is sufficiently large, for this is the scenario when the normal distribution can be viewed as an approximation of the gamma distribution. Conclusion We have shown that the optimal global alignment scores of random protein sequences fit the three-parameter gamma distribution function. This would be useful for the inference of homology between sequences whose relationship is unknown, through the evaluation of gamma distribution significance between sequences.

Relationship between increasing concentrations of two carcinogens and statistical image descriptors of foci morphology in the cell transformation assay.

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Callegaro, Giulia; Corvi, Raffaella; Salovaara, Susan; Urani, Chiara; Stefanini, Federico M

2017-06-01

Cell Transformation Assays (CTAs) have long been proposed for the identification of chemical carcinogenicity potential. The endpoint of these in vitro assays is represented by the phenotypic alterations in cultured cells, which are characterized by the change from the non-transformed to the transformed phenotype. Despite the wide fields of application and the numerous advantages of CTAs, their use in regulatory toxicology has been limited in part due to concerns about the subjective nature of visual scoring, i.e. the step in which transformed colonies or foci are evaluated through morphological features. An objective evaluation of morphological features has been previously obtained through automated digital processing of foci images to extract the value of three statistical image descriptors. In this study a further potential of the CTA using BALB/c 3T3 cells is addressed by analysing the effect of increasing concentrations of two known carcinogens, benzo[a]pyrene and NiCl 2 , with different modes of action on foci morphology. The main result of our quantitative evaluation shows that the concentration of the considered carcinogens has an effect on foci morphology that is statistically significant for the mean of two among the three selected descriptors. Statistical significance also corresponds to visual relevance. The statistical analysis of variations in foci morphology due to concentration allowed to quantify morphological changes that can be visually appreciated but not precisely determined. Therefore, it has the potential of providing new quantitative parameters in CTAs, and of exploiting all the information encoded in foci. Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

Perspectives on Literacy as a Tool for Sustainable Social Relationship

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Osalusi F. M.

2014-01-01

Full Text Available This study investigated perspectives on literacy as a tool for sustainable relationship among people. The study was conducted due to the significant role of literacy as an instrument of empowerment to improve relationship with other people by sharing information, ideas and knowledge to meet variety of purposes. The study adopted descriptive research design of the survey type. A sample of 1675 respondents that comprised of 1032 literates and 643 illiterates was selected through purposive and simple random sampling techniques from two local government areas of Ekiti state, Nigeria. An instrument tagged ‘Perception of Literacy for Social Relationship Questionnaire (PLHLSRQ’ was used to collect data from the respondents. The instrument was validated by experts and tested for reliability at 0.71 coefficients through test-re-test method. Data collected were statistically analysed using mean, standard deviation and student t-test at 0.05 level of significance. The result of the study showed a significant difference between literates and illiterates’ perspectives on literacy as a tool for sustainable social relationship. The study also revealed significant gender difference in perspectives on literacy for sustainable social relationship. Based on the findings, it was recommended among others that government should organise more awareness and sensitization programmes and seminars to purposefully attract illiterate commercial drivers and riders to literacy programmes.

Relationship between Quality of Life, Relationship Beliefs and Attribution Style in Infertile Couples.

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Navid, Behnaz; Mohammadi, Maryam; Maroufizadeh, Saman; Amini, Payam; Shirin, Zahra; Omani-Saman, Reza

2018-07-01

Many infertile couples experience psychological distress and suffer from impaired quality of life. Generally, when couples are dealing with uncontrolled events such as infertility, it is important to manage it well and to use the suitable coping style; so this can represent an example of attribution style. The purpose of this study is to investigate the quality of life, relationship beliefs and attribution style in infertile couples. This cross-sectional study consisted of 50 infertile couples, who were at least 18 years of age and could read and write in Persian. Participants provided demographic and general characteristics and completed the quality of life (SF-12), relationship belief inventory (RBI) and attribution style (ASQ) forms. Data was analyzed by the paired t test, Pearson correlation tests and multiple linear regression analysis, using SPSS version 22 statistical software. Overall, 50 infertile couples participated in our study. The males had a significantly higher score for quality of life compared to the females (P=0.019). In RBI subscales except "Disagreement is Destructive" all others significantly higher in wives than husbands. All subscales of RBI had a negative correlation with the quality of life. The quality of life had a significant correlation with positive internal (r=0.213, P=0.033). The adjusted regression model showed that the quality of life for males was higher than in females (β=-3.098, P=0.024). The current data indicate that in infertile couples, the husbands have a higher quality of life in comparison to their wives. Also, all subscales of relationship beliefs have a negative correlation with the quality of life, but in attribution style, just internal attribution style for positive events is associated with the quality of life. In general, there is a correlation between relationship beliefs and the quality of life in infertile couples. Copyright© by Royan Institute. All rights reserved.

Arcuate foramen and its clinical significance

International Nuclear Information System (INIS)

Cakmark, O.; Gurdal, E.; Cavdar, S.; Ekinci, G.; Yildiz, E.

2005-01-01

, no statistically significant relation was observed between both complete and incomplete arcuate foramen and lacrimation. No relationship between age and the presence of complete and incomplete arcuate foramen was observed. Presence of an arcuate foramen is always underestimated. Its presence should always be keep in mind in patients complaining of shoulder-arm and neck pain, headache and vertigo are examined. (author)

Relationship between treatment adherence and quality of life: integrative literature review

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Samilly Márjore Dantas Liberato

2014-03-01

Full Text Available The objective of the present study is to investigate the relationships between treatment adherence and quality of life that have been published in scientific literature. This is an integrative review performed on the Virtual Health Library database, SCOPUS, ISI Web of Knowledge and CINAHL, including articles published in the period between 2007 and 2012. Considering the inclusion and exclusion criterion, 14 articles were selected. Most articles studied adults (61.5% with evidence level VI (69.2%. The number of participants involved in the studies ranged between 25 and 1,860. All studies were on chronic diseases. Of all articles, 69.2% of the studies found a significant relationship between treatment adhesion and quality of life. The studies pointed at a relationship between treatment adherence and quality of life, but it was not possible to determine the causality of the phenomenon. Including the studies that found no statistical significance, the referred relationships proved positive. Descriptors: Patient Compliance; Quality of Life; Comprehensive Health Care.

Wind Statistics from a Forested Landscape

DEFF Research Database (Denmark)

Arnqvist, Johan; Segalini, Antonio; Dellwik, Ebba

2015-01-01

An analysis and interpretation of measurements from a 138-m tall tower located in a forested landscape is presented. Measurement errors and statistical uncertainties are carefully evaluated to ensure high data quality. A 40(Formula presented.) wide wind-direction sector is selected as the most...... representative for large-scale forest conditions, and from that sector first-, second- and third-order statistics, as well as analyses regarding the characteristic length scale, the flux-profile relationship and surface roughness are presented for a wide range of stability conditions. The results are discussed...

The fuzzy approach to statistical analysis

NARCIS (Netherlands)

Coppi, Renato; Gil, Maria A.; Kiers, Henk A. L.

2006-01-01

For the last decades, research studies have been developed in which a coalition of Fuzzy Sets Theory and Statistics has been established with different purposes. These namely are: (i) to introduce new data analysis problems in which the objective involves either fuzzy relationships or fuzzy terms;

Collaboration for Innovation and Sustainable Performance: Evidence of Relationship in Electro-Electronic Industry

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Marcos Roberto Kuhl

2016-01-01

Full Text Available This study aimed to identify how collaboration for innovation relates to the sustainable performance of the electronics industry in Brazil. We used a quantitative approach, collecting data by means of a cross-sectional survey in a sample of 112 companies. The main result indicates that the relationship between collaboration and sustainable performance is positive and significant, but of low intensity, confirming the indication from the literature. The same is noticed in checking the relationship between the collaboration and the three dimensions of sustainable performance, although no statistically significant difference was found between the degree of correlation and the three dimensions. Intervening factors such as size, age, internationalization and capital structure were also considered in verifying the relationship between collaboration for innovation and sustainable performance.

Statistical analysis and planning of multihundred-watt impact tests

International Nuclear Information System (INIS)

Martz, H.F. Jr.; Waterman, M.S.

1977-10-01

Modular multihundred-watt (MHW) radioisotope thermoelectric generators (RTG's) are used as a power source for spacecraft. Due to possible environmental contamination by radioactive materials, numerous tests are required to determine and verify the safety of the RTG. There are results available from 27 fueled MHW impact tests regarding hoop failure, fingerprint failure, and fuel failure. Data from the 27 tests are statistically analyzed for relationships that exist between the test design variables and the failure types. Next, these relationships are used to develop a statistical procedure for planning and conducting either future MHW impact tests or similar tests on other RTG fuel sources. Finally, some conclusions are given

von Neumann entropy associated with the haldane exclusion statistics

International Nuclear Information System (INIS)

Rajagopal, A.K.

1995-01-01

We obtain the von Neumann entropy per state of the Haldane exclusion statistics with parameter g in terms of the mean occupation number bar n{wlnw-(1+w)ln(1+w)}, where w=(1-bar n). This reduces correctly to the well known expressions in the limiting cases of Bose (g=0) and Fermi (g=1) statistics. We have derived the second and third order fluctuations in the occupation numbers for arbitrary g. An elegant general duality relationship between the w factor associated with the particle and that associated with the hole at the reciprocal g is deduced along with the attendant relationship between the two respective entropies

Relationship between physical fitness and game-related statistics in elite professional basketball players: Regular season vs. playoffs

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João Henrique Gomes

2017-05-01

Full Text Available Abstract AIMS This study aimed to verify th erelation ship between of anthropometric and physical performance variables with game-related statistics in professional elite basketball players during a competition. METHODS Eleven male basketball players were evaluated during 10 weeks in two distinct moments (regular season and playoffs. Overall, 11 variables of physical fitness and 13 variables of game-related statistics were analysed. RESULTS The following significant Pearson’scorrelations were found in regular season: percentage of fat mass with assists (r = -0.62 and steals (r = -0.63; height (r = 0.68, lean mass (r = 0.64, and maximum strength (r = 0.67 with blocks; squat jump with steals (r = 0.63; and time in the T-test with success ful two-point field-goals (r = -0.65, success ful free-throws (r = -0.61, and steals (r = -0.62. However, in playoffs, only stature and lean mass maintained these correlations (p ≤ 0.05. CONCLUSIONS The anthropometric and physical characteristics of the players showed few correlations with the game-related statistics in regular season, and these correlations are even lower in the playoff games of a professional elite Champion ship, wherefore, not being good predictors of technical performance.

Statistical and Visualization Data Mining Tools for Foundry Production

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M. Perzyk

2007-07-01

Full Text Available In recent years a rapid development of a new, interdisciplinary knowledge area, called data mining, is observed. Its main task is extracting useful information from previously collected large amount of data. The main possibilities and potential applications of data mining in manufacturing industry are characterized. The main types of data mining techniques are briefly discussed, including statistical, artificial intelligence, data base and visualization tools. The statistical methods and visualization methods are presented in more detail, showing their general possibilities, advantages as well as characteristic examples of applications in foundry production. Results of the author’s research are presented, aimed at validation of selected statistical tools which can be easily and effectively used in manufacturing industry. A performance analysis of ANOVA and contingency tables based methods, dedicated for determination of the most significant process parameters as well as for detection of possible interactions among them, has been made. Several numerical tests have been performed using simulated data sets, with assumed hidden relationships as well some real data, related to the strength of ductile cast iron, collected in a foundry. It is concluded that the statistical methods offer relatively easy and fairly reliable tools for extraction of that type of knowledge about foundry manufacturing processes. However, further research is needed, aimed at explanation of some imperfections of the investigated tools as well assessment of their validity for more complex tasks.

Analysis of Family Functioning and Parent-Child Relationship between Adolescents with Depression and their Parents.

Science.gov (United States)

Chen, Qing; DU, Wenyong; Gao, Yan; Ma, Changlin; Ban, Chunxia; Meng, Fu

2017-12-25

Drug therapy combined with family therapy is currently the best treatment for adolescent depression. Nevertheless, family therapy requires an exploration of unresolved problems in the family system, which in practice presents certain difficulties. Previous studies have found that the perceptual differences of family function between parents and children reflect the problems in the family system. To explore the characteristics and role of family functioning and parent-child relationship between adolescents with depressive disorder and their parents. The general information and clinical data of the 93 adolescents with depression were collected. The Family Functioning Assessment Scale and Parent-child Relationship Scale were used to assess adolescents with depressive disorder and their parents. a) The dimensions of family functioning in adolescents with depressive disorder were more negative in communication, emotional response, emotional involvement, roles, and overall functioning than their parents. The differences were statistically significant. Parent-child relationship dimensions: the closeness and parent-child total scores were more negative compared with the parents and the differences were statistically significant. b) All dimensions of parent-child relationship and family functioning in adolescents with depression except the time spent together were negatively correlated or significantly negatively correlated. c) The results of multivariate regression analysis showed: the characteristics of family functioning, emotional involvement, emotional response, family structure, and income of the adolescents with depressive disorder mainly affected the parent-child relationship. There were perceptual differences in partial family functioning and parent-child relationship between adolescents with depressive disorder and their parents. Unclear roles between family members, mutual entanglement, too much or too little emotional investment, negligence of inner feelings

Relationship between white matter integrity and serum cortisol levels in drug-naive patients with major depressive disorder: diffusion tensor imaging study using tract-based spatial statistics.

Science.gov (United States)

Liu, Xiaodan; Watanabe, Keita; Kakeda, Shingo; Yoshimura, Reiji; Abe, Osamu; Ide, Satoru; Hayashi, Kenji; Katsuki, Asuka; Umene-Nakano, Wakako; Watanabe, Rieko; Ueda, Issei; Nakamura, Jun; Korogi, Yukunori

2016-06-01

Higher daytime cortisol levels because of a hyperactive hypothalamic-pituitary-adrenal axis have been reported in patients with major depressive disorder (MDD). The elevated glucocorticoids inhibit the proliferation of the oligodendrocytes that are responsible for myelinating the axons of white matter fibre tracts. To evaluate the relationship between white matter integrity and serum cortisol levels during a first depressive episode in drug-naive patients with MDD (MDD group) using a tract-based spatial statistics (TBSS) method. The MDD group (n = 29) and a healthy control group (n = 47) underwent diffusion tensor imaging (DTI) scans and an analysis was conducted using TBSS. Morning blood samples were obtained from both groups for cortisol measurement. Compared with the controls, the MDD group had significantly reduced fractional anisotropy values (Plevels in the MDD group (Plevels in the MDD group may injure the white matter integrity in the frontal-subcortical and frontal-limbic circuits. © The Royal College of Psychiatrists 2016.

Evaluating statistical and clinical significance of intervention effects in single-case experimental designs: an SPSS method to analyze univariate data.

Science.gov (United States)

Maric, Marija; de Haan, Else; Hogendoorn, Sanne M; Wolters, Lidewij H; Huizenga, Hilde M

2015-03-01

Single-case experimental designs are useful methods in clinical research practice to investigate individual client progress. Their proliferation might have been hampered by methodological challenges such as the difficulty applying existing statistical procedures. In this article, we describe a data-analytic method to analyze univariate (i.e., one symptom) single-case data using the common package SPSS. This method can help the clinical researcher to investigate whether an intervention works as compared with a baseline period or another intervention type, and to determine whether symptom improvement is clinically significant. First, we describe the statistical method in a conceptual way and show how it can be implemented in SPSS. Simulation studies were performed to determine the number of observation points required per intervention phase. Second, to illustrate this method and its implications, we present a case study of an adolescent with anxiety disorders treated with cognitive-behavioral therapy techniques in an outpatient psychotherapy clinic, whose symptoms were regularly assessed before each session. We provide a description of the data analyses and results of this case study. Finally, we discuss the advantages and shortcomings of the proposed method. Copyright © 2014. Published by Elsevier Ltd.

Performance studies of GooFit on GPUs vs RooFit on CPUs while estimating the statistical significance of a new physical signal

Science.gov (United States)

Di Florio, Adriano

2017-10-01

In order to test the computing capabilities of GPUs with respect to traditional CPU cores a high-statistics toy Monte Carlo technique has been implemented both in ROOT/RooFit and GooFit frameworks with the purpose to estimate the statistical significance of the structure observed by CMS close to the kinematical boundary of the J/ψϕ invariant mass in the three-body decay B + → J/ψϕK +. GooFit is a data analysis open tool under development that interfaces ROOT/RooFit to CUDA platform on nVidia GPU. The optimized GooFit application running on GPUs hosted by servers in the Bari Tier2 provides striking speed-up performances with respect to the RooFit application parallelised on multiple CPUs by means of PROOF-Lite tool. The considerable resulting speed-up, evident when comparing concurrent GooFit processes allowed by CUDA Multi Process Service and a RooFit/PROOF-Lite process with multiple CPU workers, is presented and discussed in detail. By means of GooFit it has also been possible to explore the behaviour of a likelihood ratio test statistic in different situations in which the Wilks Theorem may or may not apply because its regularity conditions are not satisfied.

The Relationship between Perceptual Learning Style Preferences and Multiple Intelligences among Iranian EFL Learners

Science.gov (United States)

Baleghizadeh, Sasan; Shayeghi, Rose

2014-01-01

The purpose of the present study is to investigate the relationships between preferences of Multiple Intelligences and perceptual/social learning styles. Two self-report questionnaires were administered to a total of 207 male and female participants. Pearson correlation results revealed statistically significant positive relations between…

A Generalized Approach for Measuring Relationships Among Genes.

Science.gov (United States)

Wang, Lijun; Ahsan, Md Asif; Chen, Ming

2017-07-21

Several methods for identifying relationships among pairs of genes have been developed. In this article, we present a generalized approach for measuring relationships between any pairs of genes, which is based on statistical prediction. We derive two particular versions of the generalized approach, least squares estimation (LSE) and nearest neighbors prediction (NNP). According to mathematical proof, LSE is equivalent to the methods based on correlation; and NNP is approximate to one popular method called the maximal information coefficient (MIC) according to the performances in simulations and real dataset. Moreover, the approach based on statistical prediction can be extended from two-genes relationships to multi-genes relationships. This application would help to identify relationships among multi-genes.

A statistical analysis of mineral relationships in a Witwatersrand gold placer at Randfontein Estates

International Nuclear Information System (INIS)

Tucker, R.F.

1983-01-01

The Proterozoic 'Composite Reef' on the Randfontein Estates Gold Mine, is a proximal Witwatersrand braided-stream placer, in which pyrite, chromite, zircon, uraninite, and gold are the more common detrital minerals. They range in concentration from a few ppm to over 3 per cent. Optimum concentration of these minerals occurs on scour- and pebble-armoured surfaces, in conglomerate gravel bars, and in trough cross-bedded quartz-arenites. The distribution of gold is, however, complex and the relative proportions of the detrital minerals change from one depositional situation to another. The abundance of detrital and other related minerals was monitored geochemically and quantitatively indicates the prevalence of optimal placer concentration situations in preserved depositional subenvironments of the 'Composite Reef'. The relationships between 20 elements were determined by using an R-mode factor-analysis of the geochemical data. The elements load on to chalcophile, detrital oxide, hydrothermal and clay factors, suggesting the consanguinity of four subsets of elements. A multiple linear regression of gold against the other elements provides the framework for an improved prediction of gold where only very small or single samples are available. The method uses many elements in a single sample to achieve statistical reliability, as opposed to the geostatistical method where many samples of a single element are analysed. The regression equation demonstrates the geochemical validity of the geological-response model for optimum gold mineralization

THE ROLE OF MINDFULNESS IN THE RELATIONSHIP BETWEEN LIFE SATISFACTION AND SPIRITUAL WELLBEING AMONGST THE ELDERLY

OpenAIRE

Bester, Edelweiss; Naidoo, Pravani; Botha, Anja

2016-01-01

A non-experimental research design was used to investigate the role of mindfulness in the relationship between life satisfaction and spiritual wellbeing amongst elderly residents (N=122) from two retirement villages in Bloemfontein. A biographical questionnaire, the Mindful Attention Awareness Scale (MAAS), the Spiritual Well-being Questionnaire (SWBQ), and the Satisfaction with Life Scale (SWLS) were utilised. This study yielded a statistically significant relationship between mindfulness, ...

Relationships between Isometric Force-Time Characteristics and Dynamic Performance

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Thomas Dos’Santos

2017-09-01

Full Text Available The purpose of this study was to explore the relationships between isometric mid-thigh pull (IMTP force-time characteristics (peak force and time-specific force vales (100–250 ms and dynamic performance and compare dynamic performance between stronger and weaker athletes. Forty-three athletes from different sports (rowing, soccer, bicycle motocross, and hockey performed three trials of the squat jump (SJ, countermovement jump (CMJ, and IMTP, and performed a one repetition maximum power clean (PC. Reactive strength index modified (RSImod was also calculated from the CMJ. Statistically significant large correlations between IMTP force-time characteristics and PC (ρ = 0.569–0.674, p < 0.001, and moderate correlations between IMTP force-time characteristics (excluding force at 100 ms and RSImod (ρ = 0.389–0.449, p = 0.013–0.050 were observed. Only force at 250 ms demonstrated a statistically significant moderate correlation with CMJ height (ρ = 0.346, p = 0.016 and no statistically significant associations were observed between IMTP force-time characteristics and SJ height. Stronger athletes (top 10 demonstrated statistically significantly greater CMJ heights, RSImods, and PCs (p ≤ 0.004, g = 1.32–1.89 compared to weaker (bottom 10 athletes, but no differences in SJ height were observed (p = 0.871, g = 0.06. These findings highlight that the ability to apply rapidly high levels of force in short time intervals is integral for PC, CMJ height, and reactive strength.

The impact on social relationships of moving from congregated settings to personalized accommodation.

Science.gov (United States)

McConkey, Roy; Bunting, Brendan; Keogh, Fiona; Garcia Iriarte, Edurne

2017-01-01

A natural experiment contrasted the social relationships of people with intellectual disabilities ( n = 110) before and after they moved from congregated settings to either personalized accommodation or group homes. Contrasts could also be drawn with individuals who had enduring mental health problems ( n = 46) and who experienced similar moves. Face-to-face interviews were conducted in each person's residence on two occasions approximately 24 months apart. Multivariate statistical analyses were used to determine significant effects. Greater proportions of people living in personalized settings scored higher on the five chosen indicators of social relationships than did persons living in grouped accommodation. However, multivariate statistical analyses identified that only one in five persons increased their social relationships as a result of changes in their accommodation, particularly persons with an intellectual disability and high support needs. These findings reinforce the extent of social isolation experienced by people with disabilities and mental health problems that changes in their accommodation only partially counter.

Robust statistical methods for significance evaluation and applications in cancer driver detection and biomarker discovery

DEFF Research Database (Denmark)

Madsen, Tobias

2017-01-01

In the present thesis I develop, implement and apply statistical methods for detecting genomic elements implicated in cancer development and progression. This is done in two separate bodies of work. The first uses the somatic mutation burden to distinguish cancer driver mutations from passenger m...

Relationship between the morphological variation of sella turcica with age and gender: A digital radiographic study

Directory of Open Access Journals (Sweden)

Talkad Subbaiah Mahesh Kumar

2017-01-01

Full Text Available Introduction: Sella turcica is a saddle-shaped concavity located in the middle cranial fossa of the skull. The exact dimensions of sella turcica are an important consideration in the diagnosis, prognosis, and treatment of diseases related to the pituitary gland and brain. The sella turcica size and morphology is different from person to person. Thus, obtaining any data in this regard will be a great help in detecting abnormalities within this anatomic area. Aim: The objective of this study was to find out the correlation between the morphological variations of sella turcica with age and gender. Materials and Methods: Study sample consisted of 311 cephalograms of patients with age ranging 6–40 years. The contour of the sella turcica was traced and the linear measurements – length, depth, and diameter of sella turcica – were measured according to Silverman. Results: Morphology of sella turcica appeared to be normal shape in 27.3% of the study population followed by combination (26.7%, irregular (15.8%, pyramidal (10.6%, bridge (10%, oblique anterior wall (5.5%, and double contour (4.2%. Gender-wise comparison of the linear measurement was not statistically significant. Among the linear measurement, the parameter depth and diameter were statistically significant (P < 0.001 when correlated with age. On comparison of shape of sella turcica with linear measurements, the parameter length was statistically significant (P < 0.001. Conclusion: There is no significant relationship between the linear measurements and gender. There exists a significant relationship between the mean depth and mean diameter with age. That is, as age increases, the depth and diameter increase. There is a significant relationship between the length and the different shapes of sella turcica.

Using statistics to understand the environment

CERN Document Server

Cook, Penny A

2000-01-01

Using Statistics to Understand the Environment covers all the basic tests required for environmental practicals and projects and points the way to the more advanced techniques that may be needed in more complex research designs. Following an introduction to project design, the book covers methods to describe data, to examine differences between samples, and to identify relationships and associations between variables.Featuring: worked examples covering a wide range of environmental topics, drawings and icons, chapter summaries, a glossary of statistical terms and a further reading section, this book focuses on the needs of the researcher rather than on the mathematics behind the tests.

The relationship between self-disgust, guilt, and flow experience among Japanese undergraduates.

Science.gov (United States)

Hirao, Kazuki; Kobayashi, Ryuji

2013-01-01

To determine the relationship between self-disgust, guilt, and flow experience. A cross-sectional survey was conducted in a convenience sample of 142 Kibi International University students (mean age, 20.09 ± 1.24 years; 85 males and 57 females). Each participant was evaluated using the Flow Experience Checklist, Self-Disgust Scale, and Situational Guilt Inventory. Correlation analysis was used to describe the strength and direction of the relationship between variables. We employed Pearson's partial correlations, adjusted for age and sex, using dummy variables (female = 0, male = 1). Analysis of the relationship between the frequency of flow experience and the Self-Disgust Scale scores showed a statistically significant negative correlation, whereas the duration of the activity and the Situational Guilt Inventory score showed a significant positive correlation. The quality of flow experience and the Situational Guilt Inventory score showed a significant positive correlation. These findings suggest that flow experience could be helpful for those who need treatment to reduce negative emotions.

The Relationship between Teaching Presence and Student Course Outcomes in an Online International Population

Science.gov (United States)

Wendt, Jillian; Courduff, Jennifer

2018-01-01

A causal comparative research design was utilized in this study to examine the relationship between international students' perceptions of teacher presence in the online learning environment and students' achievement as measured by end of course grades. Spearman's analysis indicated no statistically significant correlation between the composite…

Drug safety data mining with a tree-based scan statistic.

Science.gov (United States)

Kulldorff, Martin; Dashevsky, Inna; Avery, Taliser R; Chan, Arnold K; Davis, Robert L; Graham, David; Platt, Richard; Andrade, Susan E; Boudreau, Denise; Gunter, Margaret J; Herrinton, Lisa J; Pawloski, Pamala A; Raebel, Marsha A; Roblin, Douglas; Brown, Jeffrey S

2013-05-01

In post-marketing drug safety surveillance, data mining can potentially detect rare but serious adverse events. Assessing an entire collection of drug-event pairs is traditionally performed on a predefined level of granularity. It is unknown a priori whether a drug causes a very specific or a set of related adverse events, such as mitral valve disorders, all valve disorders, or different types of heart disease. This methodological paper evaluates the tree-based scan statistic data mining method to enhance drug safety surveillance. We use a three-million-member electronic health records database from the HMO Research Network. Using the tree-based scan statistic, we assess the safety of selected antifungal and diabetes drugs, simultaneously evaluating overlapping diagnosis groups at different granularity levels, adjusting for multiple testing. Expected and observed adverse event counts were adjusted for age, sex, and health plan, producing a log likelihood ratio test statistic. Out of 732 evaluated disease groupings, 24 were statistically significant, divided among 10 non-overlapping disease categories. Five of the 10 signals are known adverse effects, four are likely due to confounding by indication, while one may warrant further investigation. The tree-based scan statistic can be successfully applied as a data mining tool in drug safety surveillance using observational data. The total number of statistical signals was modest and does not imply a causal relationship. Rather, data mining results should be used to generate candidate drug-event pairs for rigorous epidemiological studies to evaluate the individual and comparative safety profiles of drugs. Copyright © 2013 John Wiley & Sons, Ltd.

Significance evaluation in factor graphs

DEFF Research Database (Denmark)

Madsen, Tobias; Hobolth, Asger; Jensen, Jens Ledet

2017-01-01

in genomics and the multiple-testing issues accompanying them, accurate significance evaluation is of great importance. We here address the problem of evaluating statistical significance of observations from factor graph models. Results Two novel numerical approximations for evaluation of statistical...... significance are presented. First a method using importance sampling. Second a saddlepoint approximation based method. We develop algorithms to efficiently compute the approximations and compare them to naive sampling and the normal approximation. The individual merits of the methods are analysed both from....... Conclusions The applicability of saddlepoint approximation and importance sampling is demonstrated on known models in the factor graph framework. Using the two methods we can substantially improve computational cost without compromising accuracy. This contribution allows analyses of large datasets...

A Validity Study: Attitudes towards Statistics among Japanese College Students

Science.gov (United States)

Satake, Eike

2015-01-01

This cross-cultural study investigated the relationship between attitudes toward statistics (ATS) and course achievement (CA) among Japanese college students. The sample consisted of 135 male and 134 female students from the first two-year liberal arts program of a four-year college in Tokyo, Japan. Attitudes about statistics were measured using…

Quantum Statistics and Entanglement Problems

OpenAIRE

Trainor, L. E. H.; Lumsden, Charles J.

2002-01-01

Interpretations of quantum measurement theory have been plagued by two questions, one concerning the role of observer consciousness and the other the entanglement phenomenon arising from the superposition of quantum states. We emphasize here the remarkable role of quantum statistics in describing the entanglement problem correctly and discuss the relationship to issues arising from current discussions of intelligent observers in entangled, decohering quantum worlds.

THE USE OF STATISTIC KNOWLEDGE IN ACADEMIC DISCOURSES OF LITERACY

Directory of Open Access Journals (Sweden)

Renata Sperrhake

2012-12-01

Full Text Available The present paper analyzes how discourses of literacy, illiteracy and alphabetic literacy have used statistical knowledge. We carried out a search into digital files of journals specialized in Education and Statistics, as well as into CAPES Thesis Database. From the selected corpus, it is possible to perceive the following kinds of uses: 1 statistics used as empirical material; 2 statistics used as methodological procedure; 3 reference to statistical knowledge. Besides evidencing how the statistical knowledge has been used, the analysis of academic productions has enabled us to perceive other two points: the appearance of levels of alphabetic literacy, and the change in the understanding of the relationship of the subject with reading and writing.

The Effect of Relationship Marketing on Customers’ Loyalty (Evidence from Zemen Bank

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Cherinet Boke Chakiso

2015-11-01

Full Text Available AbstractEvery firm without good marketing team and strategies is bound to fail. In order to be competitive and profitable in the industry, bankers should acquire and retain profitable customers. Definitely this is done with Relationship marketing. Relationship marketing is a philosophy of doing business, a strategic orientation that focuses on keeping and improving current customers rather than acquiring new customers. The aim of this study is to investigate the influence of Relationship marketing underpinnings on customers‟ loyalty. The study also investigated the mediating role of top management commitment between relationship marketing and customers‟ loyalty. The study is based on information collected from both primary and secondary sources of data. The sample for this study is taken from customers of Zemen bank in Addis Ababa. Data analyses were done using frequencies, percentages, means, standard deviations, cross-tabulations, and tables followed by discussions. Moreover, inferential statistics of bivariate correlations and simple and multiple regressions were used. Findings of this study reveal that there is a significant and strong correlation between relationship marketing and customers‟ loyalty. Moreover, the study reveals that there is significant effect of trust, commitment, communication, and gratitude on predicting customers’ loyalty. Of these relationships, Gratitude emerged as the strongest factor which influences customers’ loyalty while conflict management remained statistically insignificant and negligible influence on customers’ loyalty in the cumulative model. However, all underpinnings had statistically significant influence on customers’ loyalty as individual. Moreover, management commitment had mediating effect between relationship marketing and customers’ loyalty. Depending on the findings, practical implications of this study is in order to ensure loyalty among bank customers; bankers should build a

Fear of crime and its relationship to self-reported health and stress among men.

Science.gov (United States)

Macassa, Gloria; Winersjö, Rocio; Wijk, Katarina; McGrath, Cormac; Ahmadi, Nader; Soares, Joaquim

2017-12-13

Fear of crime is a growing social and public health problem globally, including in developed countries such as Sweden. This study investigated the impact of fear of crime on self-reported health and stress among men living in Gävleborg County. The study used data collected from 2993 men through a cross sectional survey in the 2014 Health in Equal Terms survey. Descriptive and logistic regression analyses were carried out to study the relationship between fear of crime and self-reported health and stress. There was a statistically significant association between fear of crime and self-reported poor health and stress among men residing in Gävleborg County. In the bivariate analysis, men who reported fear of crime had odds of 1.98 (CI 1.47-2.66) and 2.23 (CI 1.45-3.41) respectively. Adjusting for demographic, social and economic variables in the multivariate analysis only reduced the odds ratio for self-reported poor health to 1.52 (CI 1.05-2.21) but not for self-reported stress with odds of 2.22 (1.27-3.86). Fear of crime among men was statistically significantly associated with self-reported poor health and stress in Gävleborg County. However, the statistically significant relationship remained even after accounting for demographic, social and economic factors, which warrants further research to better understand the role played by other variables.

Perception in statistical graphics

Science.gov (United States)

VanderPlas, Susan Ruth

There has been quite a bit of research on statistical graphics and visualization, generally focused on new types of graphics, new software to create graphics, interactivity, and usability studies. Our ability to interpret and use statistical graphics hinges on the interface between the graph itself and the brain that perceives and interprets it, and there is substantially less research on the interplay between graph, eye, brain, and mind than is sufficient to understand the nature of these relationships. The goal of the work presented here is to further explore the interplay between a static graph, the translation of that graph from paper to mental representation (the journey from eye to brain), and the mental processes that operate on that graph once it is transferred into memory (mind). Understanding the perception of statistical graphics should allow researchers to create more effective graphs which produce fewer distortions and viewer errors while reducing the cognitive load necessary to understand the information presented in the graph. Taken together, these experiments should lay a foundation for exploring the perception of statistical graphics. There has been considerable research into the accuracy of numerical judgments viewers make from graphs, and these studies are useful, but it is more effective to understand how errors in these judgments occur so that the root cause of the error can be addressed directly. Understanding how visual reasoning relates to the ability to make judgments from graphs allows us to tailor graphics to particular target audiences. In addition, understanding the hierarchy of salient features in statistical graphics allows us to clearly communicate the important message from data or statistical models by constructing graphics which are designed specifically for the perceptual system.

Relationship between Self-Efficacy and Academic Achievement of Zahedan Medical Sciences Students in 2016

Directory of Open Access Journals (Sweden)

Azizollah Arbabisarjou

2016-07-01

Full Text Available Students with higher self-efficacy utilize higher tendency, endeavor, and strength in performing academic tasks and feel ensure of their ability, thus self-efficacy can influence their academic achievement. Current study was conducted aiming at investigating relationship between self-efficacy and academic achievement of students of Zahedan University of Medical Sciences. It is a descriptive – analytical research on 190 students of Zahedan University of Medical Sciences during 2015 – 2016. Subjects were selected randomly and two-part questionnaire was used as data collection tool. First part was related to demographic characteristics and second part was related to self-efficacy questionnaire. Finally data were analyzed by SPSS 19 Software using deceptive statistics, Pearson correlation and independent t. Average age of individuals was 21.46 ± 312 and 82 students were female.Relationship between gender and self-efficacy of students was significant and self-efficacy was higher in females. But relationship between gender and academic achievementis not significant. Relationship between age and academic achievement was not significant. Relationship between self-efficacy and academic achievement of students was measured through Pearson correlation test and significant relationship was observed. People with higher selfefficacy have more optimal academic status compared to people with low self-efficacy and there is direct positive relationship between GPA and self-efficacy.

Customer Relationship Management Approach and Student Satisfaction in Higher Education Marketing

Directory of Open Access Journals (Sweden)

Ogunnaike Olaleke Oluseye

2014-09-01

Full Text Available The primary objective of the article was to determine the relationship between customer relationship management and student satisfaction. The study explored the ways in which student satisfaction can be achieved with the use of customer relationship management. Both descriptive and inferential statistics were employed in this research. The following hypotheses were formulated in this study: Student Lifecycle management has a significant impact on the student’s willingness to recommend to others, Parent relationship management has a positive impact on the students’ willingness to recommend their universities to others. A multiple regression analysis was employed in the hypothesis testing. The research findings showed that student’s willingness to recommend to others increases when the student lifecycle in the university is well managed. It was also discovered that strong parent relationship management at the University enhances the student’s willingness to recommend their Universities to others. It is therefore recommended that Universities should adopt effective customer relationship management strategies to achieve student satisfaction.

[Relationship between factors of labour pain and delivery outcomes].

Science.gov (United States)

Ye, Hui-jun; Jiang, Yan-jiao; Ruan, Zhi-fang

2011-10-01

To evaluate factors associated with labor pain and delivery outcomes. From Jul. to Dec. 2009, 111 normal singleton cephalic presentation pregnancies (including 5 elderly parturient) who delivered at the Department of Obstetrics and Gynecology, Second Affiliated Hospital, Zhejiang Chinese Medical University were enrolled in this study to evaluate the relationship between factors of labor pain and delivery outcomes. The labor pain of latent phase and active phase were scored by the visual analogue scale (VAS). Factors associated with pain included the age of parturient, the number of gravidity and parity, occupation, education profile, dwell location, etc. The questionnaire was designed by ourselves. Childbirth awareness, psychological preparation of delivery, emotional controllability, couple relationship, the relationship of parturient and mother-in-law, the relationship of parturient and parents, family economic status, use of sedative during the labor process and delivery outcomes were collected and analyzed. (1) Factors associated with pain: in the latent phase, the rate of moderate labour pain of 1/5 in women with more than 35 years old was statistically lower than 76.4% (81/106) in suitable age group (P emotion control expressed significantly severe labour pain (59.0%, 36/61) than 35.6% (16/45) in well-prepared group. The rate of severe labour pain in good control of emotion group of 44.8% (43/96) was a statistically lower than 9/10 in poor control group. There was a statistically lower severe labour pain in women given by sedatives (29.2%, 7/24) than 54.9% (45/82) in women without sedatives treatment (P emotion control, young age and uniparous have severe labour pain. Sedative use could alleviate pain in active phase. Women with mild labour pain have good delivery outcomes.

Relationship between malocclusion and bruxism in children and adolescents: a review.

Science.gov (United States)

Vanderas, A P; Manetas, K J

1995-01-01

A review of the literature on the relationship between malocclusion and bruxism is presented. Statistically significant correlations were found between different types of morphologic malocclusion such as Class II and III molar relationship, deep bite, overjet, and dental wear or grinding. The types of functional malocclusion correlated with dental wear or bruxofacets were mediotrusion interferences, anterior-posterior and vertical distance between retruded position and intercuspal position, lateral shift of the mandible together with nonfunctional side interferences. However, all studies that reported significant correlations were cross-sectional, which implies that the relationship between malocclusion and bruxism was investigated at a certain point of time. The results were not confirmed by the two longitudinal studies. Besides, the correlations were found in different age groups. Finally, the reported correlations cannot have biological significance since the biological plausibility of the causal hypothesis cannot be inferred. On the basis of this study, malocclusion does not increase the probability of bruxism, and therefore early treatment of occlusal conditions to prevent bruxism is not scientifically justified.

The Development of Introductory Statistics Students' Informal Inferential Reasoning and Its Relationship to Formal Inferential Reasoning

Science.gov (United States)

Jacob, Bridgette L.

2013-01-01

The difficulties introductory statistics students have with formal statistical inference are well known in the field of statistics education. "Informal" statistical inference has been studied as a means to introduce inferential reasoning well before and without the formalities of formal statistical inference. This mixed methods study…

Reassessment of the relationship between M-protein decrement and survival in multiple myeloma.

Science.gov (United States)

Palmer, M; Belch, A; Hanson, J; Brox, L

1989-01-01

The relationship between percentage M-protein decrement and survival is assessed in 134 multiple myeloma patients. The correlation did not achieve statistical significance (P = 0.069). Multivariate analysis using the Cox proportional hazards model, including a number of previously recognised prognostic factors, showed only percentage M-protein decrement, creatinine and haemoglobin to be significantly correlated with survival. However, the R'-statistic for each of these variables was low, indicating that their prognostic power is weak. We conclude that neither the percentage M-protein decrement nor the response derived from it can be used as an accurate means of assessing the efficacy of treatment in myeloma. Mature survival data alone should be used for this purpose.

Reassessment of the relationship between M-protein decrement and survival in multiple myeloma.

Science.gov (United States)

Palmer, M.; Belch, A.; Hanson, J.; Brox, L.

1989-01-01

The relationship between percentage M-protein decrement and survival is assessed in 134 multiple myeloma patients. The correlation did not achieve statistical significance (P = 0.069). Multivariate analysis using the Cox proportional hazards model, including a number of previously recognised prognostic factors, showed only percentage M-protein decrement, creatinine and haemoglobin to be significantly correlated with survival. However, the R'-statistic for each of these variables was low, indicating that their prognostic power is weak. We conclude that neither the percentage M-protein decrement nor the response derived from it can be used as an accurate means of assessing the efficacy of treatment in myeloma. Mature survival data alone should be used for this purpose. PMID:2757916

Statistical lamb wave localization based on extreme value theory

Science.gov (United States)

Harley, Joel B.

2018-04-01

Guided wave localization methods based on delay-and-sum imaging, matched field processing, and other techniques have been designed and researched to create images that locate and describe structural damage. The maximum value of these images typically represent an estimated damage location. Yet, it is often unclear if this maximum value, or any other value in the image, is a statistically significant indicator of damage. Furthermore, there are currently few, if any, approaches to assess the statistical significance of guided wave localization images. As a result, we present statistical delay-and-sum and statistical matched field processing localization methods to create statistically significant images of damage. Our framework uses constant rate of false alarm statistics and extreme value theory to detect damage with little prior information. We demonstrate our methods with in situ guided wave data from an aluminum plate to detect two 0.75 cm diameter holes. Our results show an expected improvement in statistical significance as the number of sensors increase. With seventeen sensors, both methods successfully detect damage with statistical significance.

Statistical and Fractal Approaches on Long Time-Series to Surface-Water/Groundwater Relationship Assessment: A Central Italy Alluvial Plain Case Study

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Alessandro Chiaudani

2017-11-01

Full Text Available In this research, univariate and bivariate statistical methods were applied to rainfall, river and piezometric level datasets belonging to 24-year time series (1986–2009. These methods, which often are used to understand the effects of precipitation on rivers and karstic springs discharge, have been used to assess piezometric level response to rainfall and river level fluctuations in a porous aquifer. A rain gauge, a river level gauge and three wells, located in Central Italy along the lower Pescara River valley in correspondence of its important alluvial aquifer, provided the data. Statistical analysis has been used within a known hydrogeological framework, which has been refined by mean of a photo-interpretation and a GPS survey. Water–groundwater relationships were identified following the autocorrelation and cross-correlation analyses. Spectral analysis and mono-fractal features of time series were assessed to provide information on multi-year variability, data distributions, their fractal dimension and the distribution return time within the historical time series. The statistical–mathematical results were interpreted through fieldwork that identified distinct groundwater flowpaths within the aquifer and enabled the implementation of a conceptual model, improving the knowledge on water resources management tools.

Nurses and care workers’ perceptions of their nurse-patient therapeutic relationship in private general hospitals, Gauteng, South Africa

Directory of Open Access Journals (Sweden)

Anna E. van den Heever

2013-09-01

Full Text Available Facilitation of a therapeutic relationship is an essential skill in nursing, particularly in mental-health care. Nurses and care workers in private general hospitals are exposed to the emotional effects of physical illness as well as the increase in admission of patients with mental-health needs. Poor nurse-patient relationships have been reported by patients and in the media. The researchers experienced incidents of apparent misunderstandings during nurse-patient interactions whilst working in private general hospitals. No studies have been done regarding how nurses and care workers perceive a therapeutic relationship with patients in terms of the patients’ emotional and mental-health needs. A quantitative, contextual and deductive study was conducted in three private general hospitals in Gauteng, South Africa with a purposive sample of 154 nurses and 30 care workers. Based on the concepts of a therapeutic relationship, empathy, positive regard, genuineness, concreteness and self-exploration, nurses and care workers’ perceptions of facilitating a therapeutic relationship were self-assessed using five-point scales in a questionnaire. Data were analysed using descriptive statistics and non-parametric statistical techniques. Specific hypotheses were tested to identify whether statistically-significant differences existed between the perceptions of two or more groups of nurses and care workers. Results showed a general insensitivity and lack of awareness and reflection on the part of nurses and care workers with regard to the patients’ emotional needs. When categories of nurses were compared, no statistically-significant differences were found between the perceptions of the various groups tested. There is a need for self-awareness, continued interpersonal skills training and supervision of nurses and care workers. A large percentage of the participants were younger than 40 years, subprofessional, with less than 10 years’ experience as

The Relationship between Racial Identity and Perceived Significance of the Election of President Barack Obama among African American Mothers.

Science.gov (United States)

Franco, Marisa; Smith-Bynum, Mia

2016-01-01

African American women's racial identity is a major determinant for how they interpret the world around them, yet there is little research examining how specific aspects of racial identity are linked with attitudes about an event that has been highly significant for African-Americans: the election of President Barack Obama. The current study examined the relationship between African American mothers' racial identity and their perceived significance of the election of President Barack Obama as an indicator of reduced systemic and actual racism for African Americans, using a sample of 110 African American mothers residing in a Northeastern metropolitan area. Results revealed that racial centrality and assimilation positively predicted perceived significance of President Obama's election for diminishing racism. Implications and future directions are discussed.

Relationships of nuclear, architectural and International Federation of Gynecology and Obstetrics grading systems in endometrial cancer.

Science.gov (United States)

Toptaş, Tayfun; Peştereli, Elif; Bozkurt, Selen; Erdoğan, Gülgün; Şimşek, Tayup

2018-03-01

To examine correlations among nuclear, architectural, and International Federation of Gynecology and Obstetrics (FIGO) grading systems, and their relationships with lymph node (LN) involvement in endometrioid endometrial cancer. Histopathology slides of 135 consecutive patients were reviewed with respect to tumor grade and LN metastasis. Notable nuclear atypia was defined as grade 3 nuclei. FIGO grade was established by raising the architectural grade (AG) by one grade when the tumor was composed of cells with nuclear grade (NG) 3. Correlations between the grading systems were analyzed using Spearman's rank correlation coefficients, and relationships of grading systems with LN involvement were assessed using logistic regression analysis. Correlation analysis revealed a significant and strongly positive relationship between FIGO and architectural grading systems (r=0.885, p=0.001); however, correlations of nuclear grading with the architectural (r=0.535, p=0.165) and FIGO grading systems (r=0.589, p=0.082) were moderate and statistically non-significant. Twenty-five (18.5%) patients had LN metastasis. LN involvement rates differed significantly between tumors with AG 1 and those with AG 2, and tumors with FIGO grade 1 and those with FIGO grade 2. In contrast, although the difference in LN involvement rates failed to reach statistical significance between tumors with NG 1 and those with NG 2, it was significant between NG 2 and NG 3 (p=0.042). Although all three grading systems were associated with LN involvement in univariate analyses, an independent relationship could not be established after adjustment for other confounders in multivariate analysis. Nuclear grading is significantly correlated with neither architectural nor FIGO grading systems. The differences in LN involvement rates in the nuclear grading system reach significance only in the setting of tumor cells with NG 3; however, none of the grading systems was an independent predictor of LN involvement.

The Complementary Relationship between Organizational Architecture and Organizational Agility An Empirical Study in Mobile Carriers of Erbil – Iraq

Directory of Open Access Journals (Sweden)

Laith Ali Yousif Al-Hakim

2017-02-01

Full Text Available The present research aims to investigate the relationship between organizational architecture and organizational agility in the mobile carriers of Erbil in Iraq. A questionnaire was conducted on mobile companies based on a random sampling technique. The results show there is a statistically significance and positive relation between organizational architecture and organizational agility. The results also indicated that organizational architecture has a statistically significant and direct positive effect on organizational agility. Finally, the researchers draw an overall conclusion from the research as a whole.

Primary and secondary cases in Escherichia coli O157 outbreaks: a statistical analysis.

LENUS (Irish Health Repository)

Snedeker, Kate G

2009-01-01

BACKGROUND: Within outbreaks of Escherichia coli O157 (E. coli O157), at least 10-15% of cases are thought to have been acquired by secondary transmission. However, there has been little systematic quantification or characterisation of secondary outbreak cases worldwide. The aim of this study was to characterise secondary outbreak cases, estimate the overall proportion of outbreak cases that were the result of secondary transmission and to analyse the relationships between primary and secondary outbreak cases by mode of transmission, country and median age. METHODS: Published data was obtained from 90 confirmed Escherichia coli O157 outbreaks in Great Britain, Ireland, Scandinavia, Canada, the United States and Japan, and the outbreaks were described in terms of modes of primary and secondary transmission, country, case numbers and median case age. Outbreaks were tested for statistically significant differences in the number of ill, confirmed, primary and secondary cases (analysis of variance and Kruskal-Wallis) and in the rate of secondary cases between these variables (Generalised Linear Models). RESULTS: The outbreaks had a median of 13.5 confirmed cases, and mean proportion of 0.195 secondary cases. There were statistically significant differences in the numbers of ill, confirmed, primary and secondary cases between modes of primary transmission (p < 0.021), and in primary and secondary cases between median age categories (p < 0.039) and modes of secondary transmission (p < 0.001).Secondary case rates differed statistically significantly between modes of secondary and primary transmission and median age categories (all p < 0.001), but not between countries (p = 0.23). Statistically significantly higher rates of secondary transmission were found in outbreaks with a median age <6 years and those with secondary transmission via person to person spread in nurseries. No statistically significant interactions were found between country, mode of transmission and age

Significance of β-tubulin Expression in Breast Premalignant Lesions and Carcinomas

Institute of Scientific and Technical Information of China (English)

Yuxia Gao; Yun Niu; Xiumin Ding; Yong Yu

2008-01-01

OBJECTIVE To explore the expression of β-tubulin in premalignant lesions and carcinomas of the breast, and to observe the relationship of its expression with breast cancer pathological features.METHODS The expression of β-tubulin was detected immunohistochemically in 50 specimens of premalignant lesions of the breast (ADH and Peri-PM with ADH), 50 specimens of breast in situ ductal carcinomas (DCIS), and 50 specimens of invasive ductal carcinomas (IDC). Thirty specimens of normal breast tissues served as a control group.RESULTS Immunohistochemical analysis showed that: the differences among the 4 groups (normal breast tissues, breast premalignant lesions, DCIS and IDC, P ＜ 0.05) were significant,and there were also statistically significant differences between any 2 groups (P ＜ 0.05) except for the β-tubulin positive expression comparing DCIS versus IDC (P ＞ 0.05). In addition, β-tubulin was expressed at a higher level in Peri-PM with ADH compared to ADH (P ＜ 0.05). Following the degree of breast epithelial hyperplasia involved, and its development into carcinoma, the β-tubulin positive expression displayed an elevating tendency.We also found a significant positive relationship of β-tubulin expression with lymph node metastasis (P ＜ 0.05), but no significant correlation with histological grading and nuclear grade.CONCLUSION Centrosome defects may be an early event in the development of breast cancer and they can also promote tumor progression. Studies of aberrations of centrosomal proteins provide a new way to explore the mechanism of breast tumorigenesis.

The relationship of long term global temperature change and human fertility.

Science.gov (United States)

Fisch, Harry; Andrews, Howard F; Fisch, Karen S; Golden, Robert; Liberson, Gary; Olsson, Carl A

2003-07-01

According to the United Nations, global fertility has declined in the last century as reflected by a decline in birth rates. The earth's surface air temperature has increased considerably and is referred to as global warming. Since changes in temperature are well known to influence fertility we sought to determine if a statistical relationship exists between long-term changes in global air temperatures and birth rates. The most complete and reliable birth rate data in the 20th century was available in 19 industrialized countries. Using bivariate and multiple regression analysis, we compared yearly birth rates from these countries to global air temperatures from 1900 to 1994.A common pattern of change in birth rates was noted for the 19 industrialized countries studied. In general, birth rates declined markedly throughout the century except during the baby boom period of approximately 1940 to 1964. An inverse relationship was found between changes in global temperatures and birth rates in all 19 countries. Controlling for the linear yearly decline in birth rates over time, this relationship remained statistically significant for all the 19 countries in aggregate and in seven countries individually (phuman fertility may have been influenced by change in environmental temperatures.

Relationship and significance of serum leptin with blood insulin and lipid in 6-13 years old obese children

International Nuclear Information System (INIS)

Sheng Chunyong; Wang Chunlan; Zhang Linong

2005-01-01

To explore relationship and significance of Serum Leptin with BMI, Insulin, triglyceride (TG) and total cholesterol (TC) in obese children aged 6-13 years. Serum Leptin of school-age children 118 (64 male, 54 female; normal non-obese 56 and obese 62) were deter- mined and compared with BMI, Insulin, TG and TC. The results showed that: (1) Each index of obese children was remarkably higher than that of non-obese children (P 0.05). (3) Leptin was poritinely corelation with BMI, insulin, TG and TC(P=0.001). Leptin level in serum may varied according to sex, BMI or blood lipid level. It is of great significance in prevention and treatment of obesity to use drug which may improve Leptin receptor effect. (authors)

Analysis of Family Functioning and Parent-Child Relationship between Adolescents with Depression and their Parents

Science.gov (United States)

CHEN, Qing; DU, Wenyong; GAO, Yan; MA, Changlin; BAN, Chunxia; MENG, Fu

2017-01-01

Background Drug therapy combined with family therapy is currently the best treatment for adolescent depression. Nevertheless, family therapy requires an exploration of unresolved problems in the family system, which in practice presents certain difficulties. Previous studies have found that the perceptual differences of family function between parents and children reflect the problems in the family system. Aims To explore the characteristics and role of family functioning and parent-child relationship between adolescents with depressive disorder and their parents. Methods The general information and clinical data of the 93 adolescents with depression were collected. The Family Functioning Assessment Scale and Parent-child Relationship Scale were used to assess adolescents with depressive disorder and their parents. Results a) The dimensions of family functioning in adolescents with depressive disorder were more negative in communication, emotional response, emotional involvement, roles, and overall functioning than their parents. The differences were statistically significant. Parent-child relationship dimensions: the closeness and parent-child total scores were more negative compared with the parents and the differences were statistically significant. b) All dimensions of parent-child relationship and family functioning in adolescents with depression except the time spent together were negatively correlated or significantly negatively correlated. c) The results of multivariate regression analysis showed: the characteristics of family functioning, emotional involvement, emotional response, family structure, and income of the adolescents with depressive disorder mainly affected the parent-child relationship. Conclusions There were perceptual differences in partial family functioning and parent-child relationship between adolescents with depressive disorder and their parents. Unclear roles between family members, mutual entanglement, too much or too little emotional

The statistics of quasar-galaxy separations

International Nuclear Information System (INIS)

Phillips, S.

1983-01-01

One of the arguments put forward in favor of physical associations between low redshift galaxies and high redshift quasars is shown to be void. The argument is based on the form of the relationship for 'close' pairs of quasars and galaxies and on the size of their separations. Simple statistical reasoning based on selection effects shows that the relationship for quasar-galaxy pairs is expected if the objects are not physically associated. Further, the actual separations of the closest pairs are in close agreement with those expected given the observed numbers of nearby galaxies and the total number of known quasars. This argument avoids the controversial number density of quasars

Statistical learning in high energy and astrophysics

International Nuclear Information System (INIS)

Zimmermann, J.

2005-01-01

This thesis studies the performance of statistical learning methods in high energy and astrophysics where they have become a standard tool in physics analysis. They are used to perform complex classification or regression by intelligent pattern recognition. This kind of artificial intelligence is achieved by the principle ''learning from examples'': The examples describe the relationship between detector events and their classification. The application of statistical learning methods is either motivated by the lack of knowledge about this relationship or by tight time restrictions. In the first case learning from examples is the only possibility since no theory is available which would allow to build an algorithm in the classical way. In the second case a classical algorithm exists but is too slow to cope with the time restrictions. It is therefore replaced by a pattern recognition machine which implements a fast statistical learning method. But even in applications where some kind of classical algorithm had done a good job, statistical learning methods convinced by their remarkable performance. This thesis gives an introduction to statistical learning methods and how they are applied correctly in physics analysis. Their flexibility and high performance will be discussed by showing intriguing results from high energy and astrophysics. These include the development of highly efficient triggers, powerful purification of event samples and exact reconstruction of hidden event parameters. The presented studies also show typical problems in the application of statistical learning methods. They should be only second choice in all cases where an algorithm based on prior knowledge exists. Some examples in physics analyses are found where these methods are not used in the right way leading either to wrong predictions or bad performance. Physicists also often hesitate to profit from these methods because they fear that statistical learning methods cannot be controlled in a

Statistical learning in high energy and astrophysics

Energy Technology Data Exchange (ETDEWEB)

Zimmermann, J.

2005-06-16

This thesis studies the performance of statistical learning methods in high energy and astrophysics where they have become a standard tool in physics analysis. They are used to perform complex classification or regression by intelligent pattern recognition. This kind of artificial intelligence is achieved by the principle ''learning from examples'': The examples describe the relationship between detector events and their classification. The application of statistical learning methods is either motivated by the lack of knowledge about this relationship or by tight time restrictions. In the first case learning from examples is the only possibility since no theory is available which would allow to build an algorithm in the classical way. In the second case a classical algorithm exists but is too slow to cope with the time restrictions. It is therefore replaced by a pattern recognition machine which implements a fast statistical learning method. But even in applications where some kind of classical algorithm had done a good job, statistical learning methods convinced by their remarkable performance. This thesis gives an introduction to statistical learning methods and how they are applied correctly in physics analysis. Their flexibility and high performance will be discussed by showing intriguing results from high energy and astrophysics. These include the development of highly efficient triggers, powerful purification of event samples and exact reconstruction of hidden event parameters. The presented studies also show typical problems in the application of statistical learning methods. They should be only second choice in all cases where an algorithm based on prior knowledge exists. Some examples in physics analyses are found where these methods are not used in the right way leading either to wrong predictions or bad performance. Physicists also often hesitate to profit from these methods because they fear that statistical learning methods cannot

The significance of Good Chair as part of children’s school and home environment in the preventive treatment of body statistics distortions

OpenAIRE

Mirosław Mrozkowiak; Hanna Żukowska

2015-01-01

Mrozkowiak Mirosław, Żukowska Hanna. Znaczenie Dobrego Krzesła, jako elementu szkolnego i domowego środowiska ucznia, w profilaktyce zaburzeń statyki postawy ciała = The significance of Good Chair as part of children’s school and home environment in the preventive treatment of body statistics distortions. Journal of Education, Health and Sport. 2015;5(7):179-215. ISSN 2391-8306. DOI 10.5281/zenodo.19832 http://ojs.ukw.edu.pl/index.php/johs/article/view/2015%3B5%287%29%3A179-215 https:...

The relationship between risk factors and aeronautical decision making in the flight training environment

Science.gov (United States)

Wetmore, Michael J.

The purpose of this applied dissertation was to investigate the relationship between risk factors and aeronautical decision making in the flight training environment using a quantitative, non-experimental, ex post facto research design. All 75 of the flight training accidents that involved a fatality from the years 2001-2003 were selected for study from the National Transportation Safety Board (NTSB) aviation accident database. Objective evidence from the Factual Reports was used to construct accident chains and to code and quantify total risk factors and total poor aeronautical decisions. The data were processed using correlational statistical tests at the 1% significance level. There was a statistically significant relationship between total risk factors per flight and poor decisions per flight. Liveware risks were the most prevalent risk factor category. More poor decisions were made during preflight than any other phase of flight. Pilots who made multiple poor decisions per flight had significantly higher risk factors per flight. A risk factor threat to decision making chart is presented for use by flight instructors and/or flight training organizations. The main threat to validity of this study was the NTSB accident investigation team investigative equality assumption.

Relationships Between Glycemic Control and Cardiovascular Fitness.

Science.gov (United States)

Moxley, Elizabeth W; Smith, Donald; Quinn, Lauretta; Park, Chang

2018-07-01

Diabetes is a serious health problem affecting approximately 29.1 million individuals in the United States. Another 86 million have prediabetes. The development and implementation of lifestyle modifications such as physical activity for these persons are among the most effective methods for prevention and treatment. The aim of this study was to examine relationships between glycemic control (HbA1c) and cardiovascular fitness (peak maximal oxygen uptake [VO 2 peak] and ventilatory threshold [VT]) in overweight/obese subjects with and without type 2 diabetes (T2DM). In addition, the influences of body mass index (BMI) and insulin sensitivity (homeostasis model assessment [HOMA %S]) on the relationship between glycemic control and cardiovascular fitness were explored. Data were abstracted from a completed study that included 51 overweight or obese subjects with T2DM ( n = 18), impaired glucose tolerance ( n = 8), or normal glucose tolerance ( n = 25). Relationships between glycemic control (HbA1c) and cardiovascular fitness (VO 2 peak and VT) were determined using correlational analysis and multiple linear regression analyses. A statistically significant relationship was observed between HbA1c and cardiovascular fitness. However, BMI and HOMA %S did not influence the relationship between glycemic control and cardiovascular fitness. HbA1c contributes to VO 2 peak and VT in obese and overweight subjects across glucose tolerance categories. Significant results were achieved despite the fact that there was a limited range of HbA1c based on the study inclusion criteria. This finding suggests that even a mild decrease in glycemic control can negatively influence cardiovascular fitness.

Can a significance test be genuinely Bayesian?

OpenAIRE

Pereira, Carlos A. de B.; Stern, Julio Michael; Wechsler, Sergio

2008-01-01

The Full Bayesian Significance Test, FBST, is extensively reviewed. Its test statistic, a genuine Bayesian measure of evidence, is discussed in detail. Its behavior in some problems of statistical inference like testing for independence in contingency tables is discussed.

Statistical and physical evolution of QSO's

International Nuclear Information System (INIS)

Caditz, D.; Petrosian, V.

1989-09-01

The relationship between the physical evolution of discrete extragalactic sources, the statistical evolution of the observed population of sources, and the cosmological model is discussed. Three simple forms of statistical evolution: pure luminosity evolution (PLE), pure density evolution (PDE), and generalized luminosity evolution (GLE), are considered in detail together with what these forms imply about the physical evolution of individual sources. Two methods are used to analyze the statistical evolution of the observed distribution of QSO's (quasars) from combined flux limited samples. It is shown that both PLE and PDE are inconsistent with the data over the redshift range 0 less than z less than 2.2, and that a more complicated form of evolution such as GLE is required, independent of the cosmological model. This result is important for physical models of AGN, and in particular, for the accretion disk model which recent results show may be inconsistent with PLE

Sexual dimorphism of the incidence of significant relationships between selected foot parameters and trunk parameters in children aged 7 – 13 years

Directory of Open Access Journals (Sweden)

Mirosław Mrozkowiak

2018-02-01

2.                  The number of trunk parameters with which the features of feet correlated most significantly was found to be bigger in male subjects than in their female counterparts. The features in boys revealed a more frequent significant relationship whereas the differentiating features were observed only in the frontal plane.

The premature loss of primary first molars: space loss to molar occlusal relationships and facial patterns.

Science.gov (United States)

Alexander, Stanley A; Askari, Marjan; Lewis, Patricia

2015-03-01

To investigate space changes with the premature loss of primary first molars and their relationship to permanent molar occlusion and facial forms. Two hundred twenty-six participants (ranging in age from 7 years 8 months to 8 years 2 months; 135 female, 91 male) met all inclusion criteria designed to study space loss as a result of the premature loss of the primary first molar. After 9 months, space loss was evaluated in relationship to molar occlusion and facial form. Statistical evaluation was performed with the paired t-test and with a two-way analysis of variance for independent groups. Patients with leptoprosopic facial form and end-on molar occlusions all exhibited a statistically significant difference when compared to controls in terms of space loss (P molar occlusion displayed space loss as well (P molar occlusion displayed space loss in the maxilla (P molar occlusions showed no significant difference in space loss. The relationship between the first permanent molar occlusion and facial form of the child has an influence on the loss of space at the primary first molar site.

Social relationships and risk of dementia: A systematic review and meta-analysis of longitudinal cohort studies.

Science.gov (United States)

Kuiper, Jisca S; Zuidersma, Marij; Oude Voshaar, Richard C; Zuidema, Sytse U; van den Heuvel, Edwin R; Stolk, Ronald P; Smidt, Nynke

2015-07-01

It is unclear to what extent poor social relationships are related to the development of dementia. A comprehensive systematic literature search identified 19 longitudinal cohort studies investigating the association between various social relationship factors and incident dementia in the general population. Relative risks (RRs) with 95% confidence intervals (CIs) were pooled using random-effects meta-analysis. Low social participation (RR: 1.41 (95% CI: 1.13-1.75)), less frequent social contact (RR: 1.57 (95% CI: 1.32-1.85)), and more loneliness (RR: 1.58 (95% CI: 1.19-2.09)) were statistically significant associated with incident dementia. The results of the association between social network size and dementia were inconsistent. No statistically significant association was found for low satisfaction with social network and the onset of dementia (RR: 1.25 (95% CI: 0.96-1.62). We conclude that social relationship factors that represent a lack of social interaction are associated with incident dementia. The strength of the associations between poor social interaction and incident dementia is comparable with other well-established risk factors for dementia, including low education attainment, physical inactivity, and late-life depression. Copyright © 2015 Elsevier B.V. All rights reserved.

Statistics anxiety, state anxiety during an examination, and academic achievement.

Science.gov (United States)

Macher, Daniel; Paechter, Manuela; Papousek, Ilona; Ruggeri, Kai; Freudenthaler, H Harald; Arendasy, Martin

2013-12-01

A large proportion of students identify statistics courses as the most anxiety-inducing courses in their curriculum. Many students feel impaired by feelings of state anxiety in the examination and therefore probably show lower achievements. The study investigates how statistics anxiety, attitudes (e.g., interest, mathematical self-concept) and trait anxiety, as a general disposition to anxiety, influence experiences of anxiety as well as achievement in an examination. Participants were 284 undergraduate psychology students, 225 females and 59 males. Two weeks prior to the examination, participants completed a demographic questionnaire and measures of the STARS, the STAI, self-concept in mathematics, and interest in statistics. At the beginning of the statistics examination, students assessed their present state anxiety by the KUSTA scale. After 25 min, all examination participants gave another assessment of their anxiety at that moment. Students' examination scores were recorded. Structural equation modelling techniques were used to test relationships between the variables in a multivariate context. Statistics anxiety was the only variable related to state anxiety in the examination. Via state anxiety experienced before and during the examination, statistics anxiety had a negative influence on achievement. However, statistics anxiety also had a direct positive influence on achievement. This result may be explained by students' motivational goals in the specific educational setting. The results provide insight into the relationship between students' attitudes, dispositions, experiences of anxiety in the examination, and academic achievement, and give recommendations to instructors on how to support students prior to and in the examination. © 2012 The British Psychological Society.

Journal Data Sharing Policies and Statistical Reporting Inconsistencies in Psychology

Directory of Open Access Journals (Sweden)

Michèle B. Nuijten

2017-12-01

Full Text Available In this paper, we present three retrospective observational studies that investigate the relation between data sharing and statistical reporting inconsistencies. Previous research found that reluctance to share data was related to a higher prevalence of statistical errors, often in the direction of statistical significance (Wicherts, Bakker, & Molenaar, 2011. We therefore hypothesized that journal policies about data sharing and data sharing itself would reduce these inconsistencies. In Study 1, we compared the prevalence of reporting inconsistencies in two similar journals on decision making with different data sharing policies. In Study 2, we compared reporting inconsistencies in psychology articles published in PLOS journals (with a data sharing policy and Frontiers in Psychology (without a stipulated data sharing policy. In Study 3, we looked at papers published in the journal Psychological Science to check whether papers with or without an Open Practice Badge differed in the prevalence of reporting errors. Overall, we found no relationship between data sharing and reporting inconsistencies. We did find that journal policies on data sharing seem extremely effective in promoting data sharing. We argue that open data is essential in improving the quality of psychological science, and we discuss ways to detect and reduce reporting inconsistencies in the literature.

Relationship characteristics of women in interracial same-sex relationships.

Science.gov (United States)

Jeong, Jae Y; Horne, Sharon G

2009-01-01

The purpose of this study was to examine the relationship characteristics of women in interracial same-sex relationships with respect to their current level of stress, internalized homophobia, perceived relationship equality, relationship satisfaction, and social support. Four groups were compared according to their current type of race relationship (ethnic minority women with White partners, White partners only, both ethnic minority partners, and White women with ethnic minority partners). No significant differences were found in terms of children and income; however, ethnic minority women with ethnic minority partners reported lower education attainment than the other groups. Relationally, there were no significant differences by race relationship for social support, relationship equality, relationship satisfaction, or stress. Internalized homophobia was lowest for interracial partnerships (ethnic minority paired with White partner). These findings are discussed in relationship to minority stress.

Explorations in statistics: the analysis of ratios and normalized data.

Science.gov (United States)

Curran-Everett, Douglas

2013-09-01

Learning about statistics is a lot like learning about science: the learning is more meaningful if you can actively explore. This ninth installment of Explorations in Statistics explores the analysis of ratios and normalized-or standardized-data. As researchers, we compute a ratio-a numerator divided by a denominator-to compute a proportion for some biological response or to derive some standardized variable. In each situation, we want to control for differences in the denominator when the thing we really care about is the numerator. But there is peril lurking in a ratio: only if the relationship between numerator and denominator is a straight line through the origin will the ratio be meaningful. If not, the ratio will misrepresent the true relationship between numerator and denominator. In contrast, regression techniques-these include analysis of covariance-are versatile: they can accommodate an analysis of the relationship between numerator and denominator when a ratio is useless.

Statistical Methods for Detecting and Modeling General Patterns and Relationships in Lifetime Data

Energy Technology Data Exchange (ETDEWEB)

Kvaloey, Jan Terje

1999-04-01

In this thesis, the author tries to develop methods of detecting and modeling general patterns and relationships in lifetime data. Tests with power against nonmonotonic trends and nonmonotonic co variate effects are considered, and nonparametric regression methods which allow estimation of fairly general nonlinear relationships are studied. Practical uses of some of the methods are illustrated although in a medical rather than engineering or technological context.

The effect of anatomic differences on the relationship between renal artery and diaphragmatic crus.

Science.gov (United States)

Esen, K; Tok, S; Balci, Yuksel; Apaydin, F D; Kara, E; Uzmansel, D

2018-01-01

The aim of this study is to investigate the effect of anatomic differences on the relationship between renal artery and diaphragmatic crus via the touch of two structures. The study included dynamic computed tomography (CT) scans of 308 patients performed mainly for characterisation of liver and renal masses. Anatomic differences including the thickness of the diaphragmatic crus, the localisation of renal artery ostium at the wall of aorta, the level of renal artery origin with respect to superior mesenteric artery were evaluated. Statistical relationships between renal artery-diaphragmatic crus contact and the anatomic differences were assessed. Thickness of the diaphragmatic crus at the level of renal artery origin exhibited a statistically significant relationship to renal artery-diaphragmatic crus contact at the left (p renal artery origin and renal artery- -diaphragmatic crus contact at the left (p renal artery ostium at the wall of aorta (right side, p = 0.436, left side, p = 0.681) did not demonstrate a relationship to renal artery-diaphragmatic crus contact. Thickness of the diaphragmatic crus and high renal artery origin with respect to superior mesenteric artery are crucial anatomic differences determining the relationship of renal artery and diaphragmatic crus. (Folia Morphol 2018; 77, 1: 22-28).

Statistics for experimentalists

CERN Document Server

Cooper, B E

2014-01-01

Statistics for Experimentalists aims to provide experimental scientists with a working knowledge of statistical methods and search approaches to the analysis of data. The book first elaborates on probability and continuous probability distributions. Discussions focus on properties of continuous random variables and normal variables, independence of two random variables, central moments of a continuous distribution, prediction from a normal distribution, binomial probabilities, and multiplication of probabilities and independence. The text then examines estimation and tests of significance. Topics include estimators and estimates, expected values, minimum variance linear unbiased estimators, sufficient estimators, methods of maximum likelihood and least squares, and the test of significance method. The manuscript ponders on distribution-free tests, Poisson process and counting problems, correlation and function fitting, balanced incomplete randomized block designs and the analysis of covariance, and experiment...

Quantifying statistical relationships between commonly used in vitro models for estimating lead bioaccessibility.

Science.gov (United States)

Yan, Kaihong; Dong, Zhaomin; Liu, Yanju; Naidu, Ravi

2016-04-01

Bioaccessibility to assess potential risks resulting from exposure to Pb-contaminated soils is commonly estimated using various in vitro methods. However, existing in vitro methods yield different results depending on the composition of the extractant as well as the contaminated soils. For this reason, the relationships between the five commonly used in vitro methods, the Relative Bioavailability Leaching Procedure (RBALP), the unified BioAccessibility Research Group Europe (BARGE) method (UBM), the Solubility Bioaccessibility Research Consortium assay (SBRC), a Physiologically Based Extraction Test (PBET), and the in vitro Digestion Model (RIVM) were quantified statistically using 10 soils from long-term Pb-contaminated mining and smelter sites located in Western Australia and South Australia. For all 10 soils, the measured Pb bioaccessibility regarding all in vitro methods varied from 1.9 to 106% for gastric phase, which is higher than that for intestinal phase: 0.2 ∼ 78.6%. The variations in Pb bioaccessibility depend on the in vitro models being used, suggesting that the method chosen for bioaccessibility assessment must be validated against in vivo studies prior to use for predicting risk. Regression studies between RBALP and SRBC, RBALP and RIVM (0.06) (0.06 g of soil in each tube, S:L ratios for gastric phase and intestinal phase are 1:375 and 1:958, respectively) showed that Pb bioaccessibility based on the three methods were comparable. Meanwhile, the slopes between RBALP and UBM, RBALP and RIVM (0.6) (0.6 g soil in each tube, S:L ratios for gastric phase and intestinal phase are 1:37.5 and 1:96, respectively) were 1.21 and 1.02, respectively. The findings presented in this study could help standardize in vitro bioaccessibility measurements and provide a scientific basis for further relating Pb bioavailability and soil properties.

Inference on network statistics by restricting to the network space: applications to sexual history data.

Science.gov (United States)

Goyal, Ravi; De Gruttola, Victor

2018-01-30

Analysis of sexual history data intended to describe sexual networks presents many challenges arising from the fact that most surveys collect information on only a very small fraction of the population of interest. In addition, partners are rarely identified and responses are subject to reporting biases. Typically, each network statistic of interest, such as mean number of sexual partners for men or women, is estimated independently of other network statistics. There is, however, a complex relationship among networks statistics; and knowledge of these relationships can aid in addressing concerns mentioned earlier. We develop a novel method that constrains a posterior predictive distribution of a collection of network statistics in order to leverage the relationships among network statistics in making inference about network properties of interest. The method ensures that inference on network properties is compatible with an actual network. Through extensive simulation studies, we also demonstrate that use of this method can improve estimates in settings where there is uncertainty that arises both from sampling and from systematic reporting bias compared with currently available approaches to estimation. To illustrate the method, we apply it to estimate network statistics using data from the Chicago Health and Social Life Survey. Copyright © 2017 John Wiley & Sons, Ltd. Copyright © 2017 John Wiley & Sons, Ltd.

The Relationship between Irritable Bowel Syndrome, Depression, Anxiety, and Stress among Sample of Irritable Bowel Patients - Predictive Study

OpenAIRE

Osama Hasan Gaber

2016-01-01

This study aimed to examine the relationship of irritable bowel syndrome, anxiety, depression and stress among a sample of78 IBS patients (Rome III Diagnostic Criteria for Irritable Bowel Syndrome), anxiety symptoms scale, Depression symptoms scale, and stress scale (prepared by the researcher) were used Pearson Correlation Coefficient showed that there are statistically significant relationship between IBS and Anxiety, Depression and Stress (P?=0.01). The Regression and Prediction Coefficien...

A global lightning parameterization based on statistical relationships among environmental factors, aerosols, and convective clouds in the TRMM climatology

Science.gov (United States)

Stolz, Douglas C.; Rutledge, Steven A.; Pierce, Jeffrey R.; van den Heever, Susan C.

2017-07-01

The objective of this study is to determine the relative contributions of normalized convective available potential energy (NCAPE), cloud condensation nuclei (CCN) concentrations, warm cloud depth (WCD), vertical wind shear (SHEAR), and environmental relative humidity (RH) to the variability of lightning and radar reflectivity within convective features (CFs) observed by the Tropical Rainfall Measuring Mission (TRMM) satellite. Our approach incorporates multidimensional binned representations of observations of CFs and modeled thermodynamics, kinematics, and CCN as inputs to develop approximations for total lightning density (TLD) and the average height of 30 dBZ radar reflectivity (AVGHT30). The results suggest that TLD and AVGHT30 increase with increasing NCAPE, increasing CCN, decreasing WCD, increasing SHEAR, and decreasing RH. Multiple-linear approximations for lightning and radar quantities using the aforementioned predictors account for significant portions of the variance in the binned data set (R2 ≈ 0.69-0.81). The standardized weights attributed to CCN, NCAPE, and WCD are largest, the standardized weight of RH varies relative to other predictors, while the standardized weight for SHEAR is comparatively small. We investigate these statistical relationships for collections of CFs within various geographic areas and compare the aerosol (CCN) and thermodynamic (NCAPE and WCD) contributions to variations in the CF population in a partial sensitivity analysis based on multiple-linear regression approximations computed herein. A global lightning parameterization is developed; the average difference between predicted and observed TLD decreases from +21.6 to +11.6% when using a hybrid approach to combine separate approximations over continents and oceans, thus highlighting the need for regionally targeted investigations in the future.

Relationship Dissolution and Psychologically Aggressive Dating Relationships: Preliminary Findings From a College-Based Relationship Education Course.

Science.gov (United States)

Negash, Sesen; Cravens, Jaclyn D; Brown, Preston C; Fincham, Frank D

This study evaluated the impact of a relationship education program, delivered as part of a college course, among students (N = 152) who reported experiencing psychological aggression in their exclusive dating relationship. Preliminary results showed that compared to those in the control group, participants receiving relationship education were significantly more likely to end their romantic relationship, even after controlling for relationship satisfaction. Furthermore, when relationship termination occurred, those in the intervention group were significantly more likely to attribute the breakup to their participation in the class as compared to those in the control group. The tentative findings are an important preliminary step in assessing the benefits of relationship education in reducing the risk of psychological aggression among college students.

Statistical properties of Fermi GBM GRBs' spectra

Science.gov (United States)

Rácz, István I.; Balázs, Lajos G.; Horvath, Istvan; Tóth, L. Viktor; Bagoly, Zsolt

2018-03-01

Statistical studies of gamma-ray burst (GRB) spectra may result in important information on the physics of GRBs. The Fermi GBM catalogue contains GRB parameters (peak energy, spectral indices, and intensity) estimated fitting the gamma-ray spectral energy distribution of the total emission (fluence, flnc), and during the time of the peak flux (pflx). Using contingency tables, we studied the relationship of the models best-fitting pflx and flnc time intervals. Our analysis revealed an ordering of the spectra into a power law - Comptonized - smoothly broken power law - Band series. This result was further supported by a correspondence analysis of the pflx and flnc spectra categorical variables. We performed a linear discriminant analysis (LDA) to find a relationship between categorical (spectral) and model independent physical data. LDA resulted in highly significant physical differences among the spectral types, that is more pronounced in the case of the pflx spectra, than for the flnc spectra. We interpreted this difference as caused by the temporal variation of the spectrum during the outburst. This spectral variability is confirmed by the differences in the low-energy spectral index and peak energy, between the pflx and flnc spectra. We found that the synchrotron radiation is significant in GBM spectra. The mean low-energy spectral index is close to the canonical value of α = -2/3 during the peak flux. However, α is ˜ -0.9 for the spectra of the fluences. We interpret this difference as showing that the effect of cooling is important only for the fluence spectra.

On two methods of statistical image analysis

NARCIS (Netherlands)

Missimer, J; Knorr, U; Maguire, RP; Herzog, H; Seitz, RJ; Tellman, L; Leenders, K.L.

1999-01-01

The computerized brain atlas (CBA) and statistical parametric mapping (SPM) are two procedures for voxel-based statistical evaluation of PET activation studies. Each includes spatial standardization of image volumes, computation of a statistic, and evaluation of its significance. In addition,

Relationship between electronic structure and radioprotective activity of some indazoles

International Nuclear Information System (INIS)

Sokolov, Yu.A.

2000-01-01

The quantum-chemical study of electronic structure of 29 indasoles with complete optimization of geometry and search of quantitative link between the established characteristics and radioprotective activity (RPA) was carried out through the MNDO method with application of multiple linear and nonlinear regression analysis and the basic component method. The equations of correlation relationship between the RPA and electronic characteristics are presented. 10 indasole structures, the forecasted RPA values whereof (survival rate, %) equal 50% and above, are selected. The statistic significance of the obtained correlation equations and their regression coefficients make it possible to conclude, that the established relationships are not accidental and are prospective for forecasting RPA of other close compounds of the indasole series [ru

Attitude towards statistics and performance among post-graduate students

Science.gov (United States)

Rosli, Mira Khalisa; Maat, Siti Mistima

2017-05-01

For student to master Statistics is a necessity, especially for those post-graduates that are involved in the research field. The purpose of this research was to identify the attitude towards Statistics among the post-graduates and to determine the relationship between the attitude towards Statistics and post-graduates' of Faculty of Education, UKM, Bangi performance. 173 post-graduate students were chosen randomly to participate in the study. These students registered in Research Methodology II course that was introduced by faculty. A survey of attitude toward Statistics using 5-points Likert scale was used for data collection purposes. The instrument consists of four components such as affective, cognitive competency, value and difficulty. The data was analyzed using the SPSS version 22 in producing the descriptive and inferential Statistics output. The result of this research showed that there is a medium and positive relation between attitude towards statistics and students' performance. As a conclusion, educators need to access students' attitude towards the course to accomplish the learning outcomes.

Understanding the Relationship Between Subjective Wellbeing and Gambling Behavior.

Science.gov (United States)

Farrell, Lisa

2018-03-01

This paper examines the relationship between gambling behavior and subjective wellbeing. It is often asserted that populations consist of different types of gamblers: those for whom gambling is a harmless leisure activity and those (pathological/problem gamblers) for whom the activity has harmful effects. One might, therefore, assume that subjective wellbeing will be negativity associated with an individual's level of gambling addiction. Alternatively, gamblers may choose to gamble because they derive utility from participating in this activity and so the relationship between happiness and gambling might be positively correlated. In this paper we test this association, empirically, using data from the 2010 British Gambling Prevalence Survey. The statistically significant findings from this analysis support the hypothesis that individual wellbeing falls as gambling disorder increases.

Statistical analysis supporting decision-making about opening na university library on saturdays

Directory of Open Access Journals (Sweden)

Lisandra Maria Kovaliczn Nadal

2017-06-01

Full Text Available The concern with the welfare of employees and the significant reduction in the demand of books loans by postgraduate students on Saturdays led to a change in operating days at the information units of Central Library Professor Faris Michaele (BICEN, in State University of Ponta Grossa (UEPG, in Ponta Grossa, PR. Therefore, the study intended to support the decision of closing the university library on Saturdays in 2016. It was verified whether there is statistical significance in the relationship between the type of library user and the number of books borrowed on Saturdays, and whether the loan of books by postgraduate students was relevant compared to others. Based on the loan data between February 2014 and December 2015, it was determined that there is a significant relationship between the type of library user and the number of borrowed books, and that the loan of books by undergraduate students is the most relevant. Also considering the saving of resources such as light and overtime and the maintenance of compliance with the norms of the Ministry of Education (MEC for the approval of undergraduate courses, closing the units on Saturdays during the academic year of 2016 was the right decision.

The Significance of Emotional Intelligence on Entrepreneurial Behavior of Instructors (Case study: Iran Technical and vocational Training Organization (TVTO’s Instructors

Directory of Open Access Journals (Sweden)

Abbas Karimi

2013-07-01

Full Text Available Entrepreneurial characteristics, in fact, are the entrepreneur’s behavioral outputs in different conditions. The behavior, which can be increasingly changed during the times, is a function of acquired and inherent factors. Emotional intelligence as a set of teachable and acquisitive behaviors, can affect the entrepreneurs’ behavioral characteristics. This paper tried to study the relationship between emotional intelligence and entrepreneurial behavioral characteristics among the Iran Technical and vocational Training Organization (TVTO’s Instructors. The statistical sample population in this research is 105 instructors from all over the Iran. Two standardized questionnaires including; Measurement Instrument of Personality characteristics of Iranian’s Entrepreneurs and “Bar- On” Test for assessing the Emotional Intelligence has been used for data collection after testing their validity and reliability. Results from data analysis using descriptive and inferential statistical techniques showed that there is a significant positive relationship between entrepreneurial characteristics and emotional intelligence among Iran TVTO’s instructors.

Statistics Using Just One Formula

Science.gov (United States)

Rosenthal, Jeffrey S.

2018-01-01

This article advocates that introductory statistics be taught by basing all calculations on a single simple margin-of-error formula and deriving all of the standard introductory statistical concepts (confidence intervals, significance tests, comparisons of means and proportions, etc) from that one formula. It is argued that this approach will…

Statistics Anxiety among Postgraduate Students

Science.gov (United States)

Koh, Denise; Zawi, Mohd Khairi

2014-01-01

Most postgraduate programmes, that have research components, require students to take at least one course of research statistics. Not all postgraduate programmes are science based, there are a significant number of postgraduate students who are from the social sciences that will be taking statistics courses, as they try to complete their…

Relationship of Physical Parameters in Pb-Contaminated by Stabilization/Solidification Method

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Ahmad Tajudin Saiful Azhar

2016-01-01

Full Text Available This research was performed to investigate the relationship between compressive strength, density and water absorption of Pb-contaminated soil treated by Ordinary Portland cement (OPC incorporated with sugarcane bagasse (SCB using the Stablisation/Solidification (S/S method. The SCB and OPC varying from 5% to 15% was added to stabilize and solidify the Pb-contaminated soil. The cylindrical samples were prepared and cured at room temperature for 28 days. Unconfined compression test, density test and water absorption test were conducted on these samples. The relationship between these variables were determined using simple statistical method by Analysis of Variance (ANOVA. Results indicate that there is a strong relationship between compressive strength and density with a regression coefficient of 77.4%. There is also a significant relationship between density and water absorption of approximately 70.7%. In addition, compressive strength and water absorption produced a strong relationship which is 73.6% of variability in strength development. In a nutshell, the strong relationship between these three variables represent the actual physical characteristics in S/S application.

The relationship between extrinsic motivation, job satisfaction and life satisfaction amongst employees in a public organisation

Directory of Open Access Journals (Sweden)

Chengedzai Mafini

2014-04-01

Research purpose: To examine the relationships between extrinsic motivation, job satisfaction and life satisfaction amongst employees in a public organisation. Motivation for the study: Labour strife is an endemic phenomenon in South Africa’s public sector as evidenced by the high incidences of industrial action and labour turnover. This study contributes to this subject by identifying the extrinsic factors that could be optimised with a view to enhancing job and life satisfaction amongst government employees. Research approach, design and method: The study used the quantitative research survey approach: a questionnaire was administered to 246 employees in a South African public organisation. Extrinsic motivation factors were identified using principal components analysis. Mean score ranking was used to compare the relative importance of all factors. The conceptual framework was tested using Spearman’s rank correlation analysis and linear regression analysis. Main findings: Statistically significant relationships were observed between job satisfaction and four extrinsic motivation factors: remuneration, quality of work life, supervision and teamwork. The relationship with promotion was insignificant, but a statistically significant relationship was established with life satisfaction. Practical/managerial implications: The findings may be used to implement strategies for enhancing employee performance and industrial relations within public organisations. Contribution/value-add: The study provides evidence of the interplay between extrinsic motivation, job satisfaction and life satisfaction for public servants in developing countries.

The relationship between temporomandibular dysfunction and head and cervical posture.

Science.gov (United States)

Matheus, Ricardo Alves; Ramos-Perez, Flávia Maria de Moraes; Menezes, Alynne Vieira; Ambrosano, Gláucia Maria Bovi; Haiter-Neto, Francisco; Bóscolo, Frab Norberto; de Almeida, Solange Maria

2009-01-01

This study aimed to evaluate the possibility of any correlation between disc displacement and parameters used for evaluation of skull positioning in relation to the cervical spine: craniocervical angle, suboccipital space between C0-C1, cervical curvature and position of the hyoid bone in individuals with and without symptoms of temporomandibular dysfunction. The patients were evaluated following the guidelines set forth by RDC/TMD. Evaluation was performed by magnetic resonance imaging for establishment of disc positioning in the temporomandibular joints (TMJs) of 30 volunteer patients without temporomandibular dysfunction symptoms and 30 patients with symptoms. Evaluation of skull positioning in relation to the cervical spine was performed on lateral cephalograms achieved with the individual in natural head position. Data were submitted to statistical analysis by Fisher's exact test at 5% significance level. To measure the degree of reproducibility/agreements between surveys, the kappa (K) statistics was used. Significant differences were observed between C0-C1 measurement for both symptomatic (p=0.04) and asymptomatic (p=0.02). No statistical differences were observed regarding craniocervical angle, C1-C2 and hyoid bone position in relation to the TMJs with and without disc displacement. Although statistically significant difference was found in the C0-C1 space, no association between these and internal temporomandibular joint disorder can be considered. Based on the results observed in this study, no direct relationship could be determined between the presence of disc displacement and the variables assessed.

Benefits of statistical molecular design, covariance analysis, and reference models in QSAR: a case study on acetylcholinesterase

Science.gov (United States)

Andersson, C. David; Hillgren, J. Mikael; Lindgren, Cecilia; Qian, Weixing; Akfur, Christine; Berg, Lotta; Ekström, Fredrik; Linusson, Anna

2015-03-01

Scientific disciplines such as medicinal- and environmental chemistry, pharmacology, and toxicology deal with the questions related to the effects small organic compounds exhort on biological targets and the compounds' physicochemical properties responsible for these effects. A common strategy in this endeavor is to establish structure-activity relationships (SARs). The aim of this work was to illustrate benefits of performing a statistical molecular design (SMD) and proper statistical analysis of the molecules' properties before SAR and quantitative structure-activity relationship (QSAR) analysis. Our SMD followed by synthesis yielded a set of inhibitors of the enzyme acetylcholinesterase (AChE) that had very few inherent dependencies between the substructures in the molecules. If such dependencies exist, they cause severe errors in SAR interpretation and predictions by QSAR-models, and leave a set of molecules less suitable for future decision-making. In our study, SAR- and QSAR models could show which molecular sub-structures and physicochemical features that were advantageous for the AChE inhibition. Finally, the QSAR model was used for the prediction of the inhibition of AChE by an external prediction set of molecules. The accuracy of these predictions was asserted by statistical significance tests and by comparisons to simple but relevant reference models.

Relationship between Hard X-Ray Footpoint Sources and Photospheric Electric Currents in Solar Flares: a Statistical Study

Science.gov (United States)

Zimovets, I. V.; Sharykin, I. N.; Wang, R.; Liu, Y. D.; Kosovichev, A. G.

2017-12-01

It is believed that solar flares are a result of release of free magnetic energy contained in electric currents (ECs) flowing in active regions (ARs). However, there are still debates whether the primary energy release and acceleration of electrons take place in coronal current sheets or in chromospheric footpoints of current-carrying magnetic flux tubes (loops). We present results of an observational statistical study of spatial relationship between hard X-ray (HXR; EHXR≥50keV) footpoint sources detected by RHESSI and vertical photospheric ECs calculated using vector magnetograms obtained from the SDO/HMI data. We found that for a sample of 47 flares (from C3.0 to X3.1 class) observed on the solar disk by both instruments in 2010-2016, at least one HXR source was in a region of strong (within 20% of the maximum EC density in the corresponding ARs) vertical ECs having the form of a ribbon (79%) or an island (21%). The total vertical ECs in such HXR sources are in the range of 1010-1013 A. The EC density is in the range of 0.01-1.0 A/m2. We found no correlation between intensity of the HXR sources and the EC density. By comparing pre-flare and post-flare EC maps we did not find evidences of significant dissipation of vertical ECs in the regions corresponding to the HXR sources. In some cases, we found amplification of ECs during flares. We discuss effects of sensitivity and angular resolution of RHESSI and SDO/HMI. In general, the results indicate that there is a link between the flare HXR footpoint sources and enhanced vertical ECs in the photosphere. However, the results do not support a concept of electron acceleration by the electric field excited in footpoints of current-carrying loops due to some (e.g. Rayleigh-Taylor) instabilities (Zaitsev et al., 2016), since strong correlation between the HXR intensity and the EC density is expected in such concept.

A study on the relationship between organizational structure and organizational agility: A case study of insurance firm

Directory of Open Access Journals (Sweden)

Javad Sadeghi

2012-09-01

Full Text Available The primary aim of this survey is to study the relationship between organizational structure and organizational agility in an insurance company in Iran. The statistical population includes 300 employees and managers of the proposed insurance company across in Tehran province, Iran and a sample of 73 people are selected, randomly for the survey. Questionnaire is used as a major tool of data collection. Validity of the questionnaire is confirmed through content validity by professors and experts. Reliability of the questionnaire was calculated using Cronbach alpha. SPSS software is used for data analysis. Research findings illustrate there is a significant relationship between organizational agility and two dimensions of organizational structure, i.e. formalization and centralization. No significant relationship was observed between complexity and organizational agility.

Stress moderates the relationships between problem-gambling severity and specific psychopathologies.

Science.gov (United States)

Ronzitti, Silvia; Kraus, Shane W; Hoff, Rani A; Potenza, Marc N

2018-01-01

The purpose of this study was to examine the extent to which stress moderated the relationships between problem-gambling severity and psychopathologies. We analyzed Wave-1 data from 41,869 participants of the National Epidemiologic Survey of Alcohol and Related Conditions (NESARC). Logistic regression showed that as compared to a non-gambling (NG) group, individuals at-risk gambling (ARG) and problem gambling (PPG) demonstrated higher odds of multiple Axis-I and Axis-II disorders in both high- and low-stress groups. Interactions odds ratios were statistically significant for stress moderating the relationships between at-risk gambling (versus non-gambling) and Any Axis-I and Any Axis-II disorder, with substance-use and Cluster-A and Cluster-B disorders contributing significantly. Some similar patterns were observed for pathological gambling (versus non-gambling), with stress moderating relationships with Cluster-B disorders. In all cases, a stronger relationship was observed between problem-gambling severity and psychopathology in the low-stress versus high-stress groups. The findings suggest that perceived stress accounts for some of the variance in the relationship between problem-gambling severity and specific forms of psychopathology, particularly with respect to lower intensity, subsyndromal levels of gambling. Findings suggest that stress may be particularly important to consider in the relationships between problem-gambling severity and substance use and Cluster-B disorders. Published by Elsevier B.V.

Identification of stress responsive genes by studying specific relationships between mRNA and protein abundance.

Science.gov (United States)

Morimoto, Shimpei; Yahara, Koji

2018-03-01

Protein expression is regulated by the production and degradation of mRNAs and proteins but the specifics of their relationship are controversial. Although technological advances have enabled genome-wide and time-series surveys of mRNA and protein abundance, recent studies have shown paradoxical results, with most statistical analyses being limited to linear correlation, or analysis of variance applied separately to mRNA and protein datasets. Here, using recently analyzed genome-wide time-series data, we have developed a statistical analysis framework for identifying which types of genes or biological gene groups have significant correlation between mRNA and protein abundance after accounting for potential time delays. Our framework stratifies all genes in terms of the extent of time delay, conducts gene clustering in each stratum, and performs a non-parametric statistical test of the correlation between mRNA and protein abundance in a gene cluster. Consequently, we revealed stronger correlations than previously reported between mRNA and protein abundance in two metabolic pathways. Moreover, we identified a pair of stress responsive genes ( ADC17 and KIN1 ) that showed a highly similar time series of mRNA and protein abundance. Furthermore, we confirmed robustness of the analysis framework by applying it to another genome-wide time-series data and identifying a cytoskeleton-related gene cluster (keratin 18, keratin 17, and mitotic spindle positioning) that shows similar correlation. The significant correlation and highly similar changes of mRNA and protein abundance suggests a concerted role of these genes in cellular stress response, which we consider provides an answer to the question of the specific relationships between mRNA and protein in a cell. In addition, our framework for studying the relationship between mRNAs and proteins in a cell will provide a basis for studying specific relationships between mRNA and protein abundance after accounting for potential

Computational statistics and biometry: which discipline drives which?

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Edler, Lutz

2005-06-01

Full Text Available A biometrician's work is defined through the biological or medical problem and the mathematical and statistical methods needed for its solution. This requires in most instances statistical data analysis and the use of methods of computational statistics. At first, it seems quite obvious that the computational needs of the biometric problem determine what has to be developed by the discipline of computational statistics. However, viewing the development of biometry and computational statistics in Germany for the past decades in more details reveals an interesting interaction between the activities of the German Region of the International Biometric Society and groups engaged in computational statistics within Germany. Exact methods of statistical inference and permutation tests, simulations and the use of the Bootstrap, and interactive graphical statistical methods are examples of this fruitful reciprocal benefit. This contribution examines therefore relationships between the historical development of biometry and computational statistics in Germany using as sources of information contributions to the scientific literature, presentations and sessions at scientific conferences on biometry and on computational statistics which influenced the development of both disciplines and exhibits a reciprocal dependency. The annual workshops organized on the Reisensburg now for more than 30 years are recognized as an outstanding factor of this interrelationship. This work aims at the definition of the present status of computational statistics in the German Region of the International Biometric Society and intends to guide and to foster the discussion of the future development of this discipline among biometricians.

The relationship between emotional intelligence with administrators’ performance at Mashhad University of Medical Sciences

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Sadeghi, Tooraj; Saeidi, Masumeh; Moghaddam, Habibolah Taghizade; Ghodsi, Mohammad Jafari; Hoseini, Rasoul

2018-01-01

Background The leadership of an organization requires specific features to adapt to changes and to survive and grow in new environments, and emotional intelligence is one of the most important attributes that can help leaders and managers respond to these changes. Objective This study aimed to determine the relationship between emotional intelligence with administrators’ performance at Mashhad University of Medical Sciences, Mashhad, Iran. Methods This cross-sectional study was conducted on 100 basic and middle managers of Mashhad University of Medical Sciences, Mashhad, Iran who were selected by census method in 2016. The instrument of data collecting was the “Inventory Shrinkage”, and the “Organizational performance evaluation forms”. The data were analyzed by SPSS version 16 using descriptive statistics and Spearman correlation. Results The results showed there was a significant negative correlation between emotional intelligence and organizational performance in administrators (r=−0.214, p=0.032). The findings also showed that among the components of emotional intelligence and administrators’ performance, only components of empathy, was there a significant negative correlation (r=−0.199, p=0.047). Also, there was no statistically significant relationship between emotional intelligence and demographic variables such as work experience, age, marital status and education level (p>0.05). There was no significant relationship between organizational performance and demographic variables, either (p>0.05). But between the components of emotional intelligence, only for social skills and work place of administrators, a significant positive correlation was confirmed (r=0.203, p=0.043). Conclusions The results of this study showed that there was a negative and significant correlation between the components of emotional intelligence and administrators’ performance of Mashhad University of Medical Sciences administrators, only in the empathy component. PMID

Relationship between Bruxism and Malocclusion among Preschool Children in Isfahan

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Ghafournia, Maryam; Hajenourozali Tehrani, Maryam

2012-01-01

Background and aims Bruxism is defined as a habitual nonfunctional forceful contact between occlusal tooth surfaces. In younger children bruxism may be a consequence of the masticatory neuromuscular system immaturity. The aim of this study was to assess the prevalence of bruxism and investigate the relationship between occlusal factors and bruxism among preschool children. Materials and methods In this cross-sectional survey, 400 3-6-year-old children were selected randomly from different preschools in Isfahan, Iran. The subjects were divided into two groups of bruxers and non-bruxers as determined by the clinical examination and their parents’ reports. The examiner recorded the primary canines (Class I, Class II, and Class III) and molars (mesial step, distal step, flash terminal plane) relationship, existence of anterior and posterior crossbite, open and deep bite. Also, rotated teeth, food impaction, sharp tooth edges, high restorations, extensive tooth caries, and painful teeth (categorized as irritating tooth conditions) were evaluated. The relationship between bruxism and occlusal factors and irritating tooth conditions was evaluated with chi-square test. Results Bruxism was seen in 12.75% of the subjects. Statistically significant relationships existed between bruxism and some occlusal factors, such as flash terminal plane (P = 0.023) and mesial step (P = 0.001) and also, between food impaction, extensive tooth caries, tooth pain, sharp tooth edge and bruxism. Conclusion The results showed significant relationship of bruxism with primary molar relationships and irritating tooth conditions among preschool children. PMID:23277860

Depression, anxiety and quality of life in suicide survivors: a comparison of close and distant relationships.

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Mitchell, Ann M; Sakraida, Teresa J; Kim, Yookyung; Bullian, Leann; Chiappetta, Laurel

2009-02-01

The study's purpose was to describe and compare depression, anxiety, and quality of life, by degree of relationship, between closely related and distantly related survivors (persons close to the suicide victim, or "suicide survivors"; N = 60) during the acute phase of bereavement (within 1 month of the death). The close relationship category included spouses, parents, children, and siblings, whereas the distant relationship category included in-laws, aunts/uncles, and nieces/nephews. Analysis of covariance examined differences between the two groups on the symptom measures. Results indicate that, after controlling for age and gender effects, closely related survivors had significantly higher mean levels of depression and anxiety and had lower levels of mental health quality of life. There were no statistically significant differences on the physical health quality of life subscale.

The Relationship of Instructional Methods with Student Responses to the Survey of Attitudes Toward Statistics.

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Faghihi, Foroozandeh; Rakow, Ernest A.

This study, conducted at the University of Memphis (Tennessee), compared the effects of a self-paced method of instruction on the attitudes and perceptions of students enrolled in an undergraduate statistics course with those of a comparable group of students taking statistics in a traditional lecture setting. The non-traditional course used a…

Abstraction and generalization in statistical learning: implications for the relationship between semantic types and episodic tokens

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2017-01-01

Statistical approaches to emergent knowledge have tended to focus on the process by which experience of individual episodes accumulates into generalizable experience across episodes. However, there is a seemingly opposite, but equally critical, process that such experience affords: the process by which, from a space of types (e.g. onions—a semantic class that develops through exposure to individual episodes involving individual onions), we can perceive or create, on-the-fly, a specific token (a specific onion, perhaps one that is chopped) in the absence of any prior perceptual experience with that specific token. This article reviews a selection of statistical learning studies that lead to the speculation that this process—the generation, on the basis of semantic memory, of a novel episodic representation—is itself an instance of a statistical, in fact associative, process. The article concludes that the same processes that enable statistical abstraction across individual episodes to form semantic memories also enable the generation, from those semantic memories, of representations that correspond to individual tokens, and of novel episodic facts about those tokens. Statistical learning is a window onto these deeper processes that underpin cognition. This article is part of the themed issue ‘New frontiers for statistical learning in the cognitive sciences’. PMID:27872378

Abstraction and generalization in statistical learning: implications for the relationship between semantic types and episodic tokens.

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Altmann, Gerry T M

2017-01-05

Statistical approaches to emergent knowledge have tended to focus on the process by which experience of individual episodes accumulates into generalizable experience across episodes. However, there is a seemingly opposite, but equally critical, process that such experience affords: the process by which, from a space of types (e.g. onions-a semantic class that develops through exposure to individual episodes involving individual onions), we can perceive or create, on-the-fly, a specific token (a specific onion, perhaps one that is chopped) in the absence of any prior perceptual experience with that specific token. This article reviews a selection of statistical learning studies that lead to the speculation that this process-the generation, on the basis of semantic memory, of a novel episodic representation-is itself an instance of a statistical, in fact associative, process. The article concludes that the same processes that enable statistical abstraction across individual episodes to form semantic memories also enable the generation, from those semantic memories, of representations that correspond to individual tokens, and of novel episodic facts about those tokens. Statistical learning is a window onto these deeper processes that underpin cognition.This article is part of the themed issue 'New frontiers for statistical learning in the cognitive sciences'. © 2016 The Author(s).

Statistical Signal Process in R Language in the Pharmacovigilance Programme of India.

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Kumar, Aman; Ahuja, Jitin; Shrivastava, Tarani Prakash; Kumar, Vipin; Kalaiselvan, Vivekanandan

2018-05-01

The Ministry of Health & Family Welfare, Government of India, initiated the Pharmacovigilance Programme of India (PvPI) in July 2010. The purpose of the PvPI is to collect data on adverse reactions due to medications, analyze it, and use the reference to recommend informed regulatory intervention, besides communicating the risk to health care professionals and the public. The goal of the present study was to apply statistical tools to find the relationship between drugs and ADRs for signal detection by R programming. Four statistical parameters were proposed for quantitative signal detection. These 4 parameters are IC 025 , PRR and PRR lb , chi-square, and N 11 ; we calculated these 4 values using R programming. We analyzed 78,983 drug-ADR combinations, and the total count of drug-ADR combination was 4,20,060. During the calculation of the statistical parameter, we use 3 variables: (1) N 11 (number of counts), (2) N 1. (Drug margin), and (3) N .1 (ADR margin). The structure and calculation of these 4 statistical parameters in R language are easily understandable. On the basis of the IC value (IC value >0), out of the 78,983 drug-ADR combination (drug-ADR combination), we found the 8,667 combinations to be significantly associated. The calculation of statistical parameters in R language is time saving and allows to easily identify new signals in the Indian ICSR (Individual Case Safety Reports) database.

Cognitive styles in creative leadership practices: exploring the relationship between level and style.

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Isaksen, Scott G; Babij, Barbara J; Lauer, Kenneth J

2003-12-01

This study investigated the relationship between two measures used to assist change and transformation efforts, the Kirton Adaption-Innovation Inventory which assesses style or manner of cognition and problem-solving, not level or capability, and the Leadership Practices Inventory which measures the extent to which leaders exhibit certain leadership behaviors associated with accomplishing extraordinary results. These two measures of level and style should be conceptually distinct and show no or only modest correlation. Analysis yielded statistically significant and meaningful relationships between scores on the Kirton inventory and two scales of the Leadership Practices Inventory. Implications and challenges for research and practice were outlined.

Confidence Intervals: From tests of statistical significance to confidence intervals, range hypotheses and substantial effects

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Dominic Beaulieu-Prévost

2006-03-01

Full Text Available For the last 50 years of research in quantitative social sciences, the empirical evaluation of scientific hypotheses has been based on the rejection or not of the null hypothesis. However, more than 300 articles demonstrated that this method was problematic. In summary, null hypothesis testing (NHT is unfalsifiable, its results depend directly on sample size and the null hypothesis is both improbable and not plausible. Consequently, alternatives to NHT such as confidence intervals (CI and measures of effect size are starting to be used in scientific publications. The purpose of this article is, first, to provide the conceptual tools necessary to implement an approach based on confidence intervals, and second, to briefly demonstrate why such an approach is an interesting alternative to an approach based on NHT. As demonstrated in the article, the proposed CI approach avoids most problems related to a NHT approach and can often improve the scientific and contextual relevance of the statistical interpretations by testing range hypotheses instead of a point hypothesis and by defining the minimal value of a substantial effect. The main advantage of such a CI approach is that it replaces the notion of statistical power by an easily interpretable three-value logic (probable presence of a substantial effect, probable absence of a substantial effect and probabilistic undetermination. The demonstration includes a complete example.

Sleep disorder among medical students: relationship to their academic performance.

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Abdulghani, Hamza M; Alrowais, Norah A; Bin-Saad, Norah S; Al-Subaie, Nourah M; Haji, Alhan M A; Alhaqwi, Ali I

2012-01-01

Medical students are exposed to a significant level of pressure due to academic demands. Their sleep pattern is characterized by insufficient sleep duration, delayed sleep onset, and occurrence of napping episodes during the day. To examine the prevalence of sleep disorder among medical students and investigate any relationship between sleep disorder and academic performance. This is a cross-sectional self-administered questionnaire-based study. The participants were medical students of the first, second, and third academic years. The Epworth Sleepiness Scale (ESS) was also included to identify sleep disorder and grade point average was recorded for academic performance. There were 491 responses with a response rate of 55%. The ESS score demonstrated that 36.6% of participants were considered to have abnormal sleep habits, with a statistically significant increase in female students (p = 0.000). Sleeping between 6-10 h per day was associated with normal ESS scores (p = 0.019) as well as the academic grades ≥ 3.75. Abnormal ESS scores were associated with lower academic achievement (p = 0.002). A high prevalence of sleep disorder was found in this group of students, specifically female students. Analysis of the relationship between sleep disorder and academic performance indicates a significant relationship between abnormal ESS scores, total sleeping hours, and academic performance.

A Structural Model of Depression Based on Interpersonal Relationships: The Mediating Role of Coping Strategies and Loneliness.

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Majd Ara, Elahe; Talepasand, Siavash; Rezaei, Ali Mohammad

2017-06-01

The present study was conducted with the aim of examining the structural model of interpersonal relationships and depression using coping strategies and loneliness as mediators. Using multistage random sampling, 301 high-school students were selected from Minudasht city, Iran. The participants were aksed to complete the Network of Relationships Inventory (NRI); the Ways of Coping Questionnaire (Lazarus and Folkman); the Children's Loneliness Scale (CLS); and the Depression, Anxiety, and Stress Scale (DASS-21). Structural equation modeling was used to examine the pattern of direct and indirect effects. Findings of the present study show that the data are well fitted to the model. The indirect effect of the positive quality of relationships was significant on depression through loneliness. Moreover, the indirect effects of the negative quality of relationships on depression through loneliness and through emotion-focused coping strategies were statistically significant. Although the effect of loneliness and emotion-focused coping strategies on depression was significant, problem-focused coping strategies did not have a significant effect on depression. Additionally, the findings suggested that the indirect effect through loneliness on depression was stronger compared with the indirect effect through emotion-focused coping strategies. The positive or negative quality of interpersonal relationships, loneliness, and emotion-focused coping strategy can significantly predict depression.

Preventing statistical errors in scientific journals.

NARCIS (Netherlands)

Nuijten, M.B.

2016-01-01

There is evidence for a high prevalence of statistical reporting errors in psychology and other scientific fields. These errors display a systematic preference for statistically significant results, distorting the scientific literature. There are several possible causes for this systematic error

The features of family relationship experience, style of parental bonding and relationship with family members of convicts

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Daiva Karkockienė

2016-01-01

Full Text Available The aim of this article is to reveal the features of family relationship, style of parental bonding and relationship with family members of convicts. The tasks of the research: 1 to analyse the relationships experienced in families of convicts and the subjectively perceived style of parental bonding in their childhood; 2 to assess the relationships of convicts (men and women with their families; 3 to compare the attachment styles of convicts analysing different close relationships (with parents, relatives, partner or a close friend. The research was carried out in Panevėžys Correctional Facility and Lukiškės Remand Prison – Closed Prison. In total, the research involved 63 subjects, out of whom 33 were men and 30 women. The female subjects were 18–64 years old, males – 18–45 years old. The following tools were used: Parental Bonding Instrument (Parker G. et al., 1997, Familial Relationship Quality Measure (Ryan & Willits, 2007, Experiences in Close Relationships-Revised (ECR – RS; Fraley, Waller, & Brennan, 2000 and demographic questionnaire. The findings have showed that were no statistically significant differences with regard to gender were established assessing the subjectively perceived style of parental bonding, satisfaction with familial relationships and the attachment style in different close relationships. Both male and female subjects attributed the subjectively perceived upbringing style of a father to “overprotection”, that of a mother – to “care”. The attachment style of males characterised as “avoidance” is insignificantly higher than females, whereas the “anxiety” style of attachment in samples of males and females showed almost no differences. A positive relationship was established between the satisfaction with experienced familial relationships and the “caring” style of upbringing of both parents. Satisfaction with familial relationships positively correlates with the importance of

Basics of statistical physics

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Müller-Kirsten, Harald J W

2013-01-01

Statistics links microscopic and macroscopic phenomena, and requires for this reason a large number of microscopic elements like atoms. The results are values of maximum probability or of averaging. This introduction to statistical physics concentrates on the basic principles, and attempts to explain these in simple terms supplemented by numerous examples. These basic principles include the difference between classical and quantum statistics, a priori probabilities as related to degeneracies, the vital aspect of indistinguishability as compared with distinguishability in classical physics, the differences between conserved and non-conserved elements, the different ways of counting arrangements in the three statistics (Maxwell-Boltzmann, Fermi-Dirac, Bose-Einstein), the difference between maximization of the number of arrangements of elements, and averaging in the Darwin-Fowler method. Significant applications to solids, radiation and electrons in metals are treated in separate chapters, as well as Bose-Eins...

Renyi statistics in equilibrium statistical mechanics

International Nuclear Information System (INIS)

Parvan, A.S.; Biro, T.S.

2010-01-01

The Renyi statistics in the canonical and microcanonical ensembles is examined both in general and in particular for the ideal gas. In the microcanonical ensemble the Renyi statistics is equivalent to the Boltzmann-Gibbs statistics. By the exact analytical results for the ideal gas, it is shown that in the canonical ensemble, taking the thermodynamic limit, the Renyi statistics is also equivalent to the Boltzmann-Gibbs statistics. Furthermore it satisfies the requirements of the equilibrium thermodynamics, i.e. the thermodynamical potential of the statistical ensemble is a homogeneous function of first degree of its extensive variables of state. We conclude that the Renyi statistics arrives at the same thermodynamical relations, as those stemming from the Boltzmann-Gibbs statistics in this limit.

The relationship between Human Papillomavirus and Epstein-Barr virus infections with breast cancer of Iranian patients

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Zahra Tahmasebi fard

2013-11-01

Our analysis could not confirm a role of HPV in breast cancer but statistically, significant correlation between EBV infection and breast cancer exists. To demonstrate the possible relationship between viral load and breast cancer, need for epidemiological, biological and molecular mechanisms to clear the virus is involved in the process of carcinogenesis.

Family Atmosphere and Relationships as Predictors of Heroin Addiction.

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Mirković-Hajdukov, Mitra; Spahić, Tamara Efendić; Softić, Rusmir; Bećirović, Elvir; Šimić, Josip

2017-05-01

Studies show that dysfunctional family relationships are important predictors of addictions to all psychoactive substances. To establish if there is a connection between family relations and heroin addiction and if found to exist, what is the quality of this connection. This research was conducted on the sample comprised of 160 subjects divided into two groups. The first group consisted of 61 heroin addicts treated at the Tuzla University Clinical Centre Psychiatric Hospital. The second group consisted of 99 subjects who were students at the Tuzla University Faculties of Philosophy and Electrical Engineering and who were not using any psychoactive substances. The subjects were tested with the Quality of Family Interactions Scale (KOBI) which measures the interactions between children and parents in two dimensions, described in literature as 'acceptance' and 'rejection'. The research team established statistically significant differences between the heroin addicts and the students, the non-users, in terms of their family relationships. The results show that the addicts families were characterized by lack of understanding, by conflicts, rejection, non-acceptance by parents, while the non-users families were characterized by understanding, acceptance by parents and good communication. There is a connection between inter-family relationships and addiction. Namely, rejection and non-acceptance of children/persons by their families and parents, bad communication and dysfunctional family relationships are significant predictors of heroin addiction.

The Relationship Between Vitamin D Levels and Receptor Activator of Nuclear Factor Ligand in Hashimoto’s Thyroiditis

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Hakan Yavuzer

2017-12-01

Full Text Available Aim: In order to analyze the relationship of Hashimoto’s thyroiditis with vitamin D and osteoclastogenic markers, we investigated vitamin D, osteoprotegerin (OPG and receptor activator of nuclear factor ligand (RANKL levels in patients over 60 years with and without Hashimoto’s thyroiditis. Methods: Eighty three female patients (49 with and 34 without Hashimoto’s thyroiditis, who attended the endocrinology and geriatrics departments between May 2013 and October 2013 were included in the study. Results: There was no statistically significant difference in the levels of vitamin D, OPG and RANKL between the groups. Vitamin D was significantly correlated with OPG and RANKL in patients with Hashimoto’s thyroiditis. In addition, a significant relationship was found between OPG and RANKL levels. Of the patients with Hashimoto’s thyroiditis, 33 were autoantibody-positive and 16 were negative. Vitamin D, OPG and RANKL levels were significantly lower in antibody-positive patients than in negative subjects. Conclucion: There were no differences in vitamin D, OPG and RANKL levels between patients with and without Hashimoto’s thyroidits. Autoantibody-positive Hashimoto’s thyroiditis group had statistically significantly lower vitamin D, OPG and RANKL levels. This reverse correlation suggests that autoantibodies may have an effect on osteoclastogenesis.

Evaluation of the significance of abrupt changes in precipitation and runoff process in China

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Xie, Ping; Wu, Ziyi; Sang, Yan-Fang; Gu, Haiting; Zhao, Yuxi; Singh, Vijay P.

2018-05-01

Abrupt changes are an important manifestation of hydrological variability. How to accurately detect the abrupt changes in hydrological time series and evaluate their significance is an important issue, but methods for dealing with them effectively are lacking. In this study, we propose an approach to evaluate the significance of abrupt changes in time series at five levels: no, weak, moderate, strong, and dramatic. The approach was based on an index of correlation coefficient calculated for the original time series and its abrupt change component. A bigger value of correlation coefficient reflects a higher significance level of abrupt change. Results of Monte-Carlo experiments verified the reliability of the proposed approach, and also indicated the great influence of statistical characteristics of time series on the significance level of abrupt change. The approach was derived from the relationship between correlation coefficient index and abrupt change, and can estimate and grade the significance levels of abrupt changes in hydrological time series. Application of the proposed approach to ten major watersheds in China showed that abrupt changes mainly occurred in five watersheds in northern China, which have arid or semi-arid climate and severe shortages of water resources. Runoff processes in northern China were more sensitive to precipitation change than those in southern China. Although annual precipitation and surface water resources amount (SWRA) exhibited a harmonious relationship in most watersheds, abrupt changes in the latter were more significant. Compared with abrupt changes in annual precipitation, human activities contributed much more to the abrupt changes in the corresponding SWRA, except for the Northwest Inland River watershed.

The Relationship between Background Classical Music and Reading Comprehension on Seventh and Eighth Grade Students

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Falcon, Evelyn

2017-01-01

The purpose of this study was to examine if there is any relationship on reading comprehension when background classical music is played in the setting of a 7th and 8th grade classroom. This study also examined if there was a statistically significant difference in test anxiety when listening to classical music while completing a test. Reading…

Testing the Relationships between Diversification, Species Richness, and Trait Evolution.

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Kozak, Kenneth H; Wiens, John J

2016-11-01

Understanding which traits drive species diversification is essential for macroevolutionary studies and to understand patterns of species richness among clades. An important tool for testing if traits influence diversification is to estimate rates of net diversification for each clade, and then test for a relationship between traits and diversification rates among clades. However, this general approach has become very controversial. Numerous papers have now stated that it is inappropriate to analyze net diversification rates in groups in which clade richness is not positively correlated with clade age. Similarly, some have stated that variation in net diversification rates does not explain variation in species richness patterns among clades across the Tree of Life. Some authors have also suggested that strong correlations between richness and diversification rates are a statistical artifact and effectively inevitable. If this latter point is true, then correlations between richness and diversification rates would be uninformative (or even misleading) for identifying how much variation in species richness among clades is explained by variation in net diversification rates. Here, we use simulations (based on empirical data for plethodontid salamanders) to address three main questions. First, how is variation in net diversification rates among clades related to the relationship between clade age and species richness? Second, how accurate are these net diversification rate estimators, and does the age-richness relationship have any relevance to their accuracy? Third, is a relationship between species richness and diversification rates an inevitable, statistical artifact? Our simulations show that strong, positive age-richness relationships arise when diversification rates are invariant among clades, whereas realistic variation in diversification rates among clades frequently disrupts this relationship. Thus, a significant age-richness relationship should not be a

ARSENIC CONTAMINATION IN GROUNDWATER: A STATISTICAL MODELING

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Palas Roy

2013-01-01

Full Text Available High arsenic in natural groundwater in most of the tubewells of the Purbasthali- Block II area of Burdwan district (W.B, India has recently been focused as a serious environmental concern. This paper is intending to illustrate the statistical modeling of the arsenic contaminated groundwater to identify the interrelation of that arsenic contain with other participating groundwater parameters so that the arsenic contamination level can easily be predicted by analyzing only such parameters. Multivariate data analysis was done with the collected groundwater samples from the 132 tubewells of this contaminated region shows that three variable parameters are significantly related with the arsenic. Based on these relationships, a multiple linear regression model has been developed that estimated the arsenic contamination by measuring such three predictor parameters of the groundwater variables in the contaminated aquifer. This model could also be a suggestive tool while designing the arsenic removal scheme for any affected groundwater.

STATISTICAL DOWNSCALING DENGAN PERGESERAN WAKTU BERDASARKAN KORELASI SILANG

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Aji Hamim Wigena

2015-09-01

Full Text Available Pergeseran waktu (time lag dalam analisis data deret waktu diperlukan terutama untuk analisis hubungan dua peubah (variable, seperti dalam statistical downscaling. Pergeseran waktu ini ditentukan berdasarkan korelasi silang tinggi yang setara dengan hubungan yang kuat antar kedua peubah tersebut sehingga dapat digunakan dalam pemodelan untuk prakiraan yang lebih akurat. Makalah ini mengenai statistical downscaling dengan memperhatikan korelasi silang antara data curah hujan dengan data presipitasi Global Circulation Model (GCM dari Climate Model Inter Comparison Project (CMIP5. Salah satu syarat dalam statistical downscaling adalah peubah  skala lokal dan global berkorelasi tinggi. Kedua tipe peubah tersebut berupa data deret waktu sehingga fungsi korelasi silang diterapkan untuk memperoleh pergeseran waktu. Korelasi silang yang tinggi menentukan pergeseran waktu pada luaran GCM yang menghasilkan hubungan fungsional lebih kuat antara kedua tipe peubah. Model regresi komponen utama dan regresi kuadrat terkecil parsial digunakan dalam makalah ini. Model-model dengan pergeseran waktu menduga curah hujan lebih baik daripada model-model tanpa pergeseran waktu.   Time lag in time series data analysis is required especially to analyze the relationship of two variables, such as in statistical downscaling. Time lag is determined based on high cross correlation which is equivalent to strong relationship between the two variables and can be used in modeling for a more accurate forecast. This paper is about  statistical downscaling by considering the cross correlation between rainfall data and precipitation data from Global Circulation Model (GCM of Climate Model Inter Comparison Project (CMIP5. One of the conditions in statistical downscaling is that local scale and global scale variables are highly correlated. Both types of variables are time series data, thus cross correlation function is applied to find time lags. High cross correlation determines

Comparative analysis of positive and negative attitudes toward statistics

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Ghulami, Hassan Rahnaward; Ab Hamid, Mohd Rashid; Zakaria, Roslinazairimah

2015-02-01

Many statistics lecturers and statistics education researchers are interested to know the perception of their students' attitudes toward statistics during the statistics course. In statistics course, positive attitude toward statistics is a vital because it will be encourage students to get interested in the statistics course and in order to master the core content of the subject matters under study. Although, students who have negative attitudes toward statistics they will feel depressed especially in the given group assignment, at risk for failure, are often highly emotional, and could not move forward. Therefore, this study investigates the students' attitude towards learning statistics. Six latent constructs have been the measurement of students' attitudes toward learning statistic such as affect, cognitive competence, value, difficulty, interest, and effort. The questionnaire was adopted and adapted from the reliable and validate instrument of Survey of Attitudes towards Statistics (SATS). This study is conducted among engineering undergraduate engineering students in the university Malaysia Pahang (UMP). The respondents consist of students who were taking the applied statistics course from different faculties. From the analysis, it is found that the questionnaire is acceptable and the relationships among the constructs has been proposed and investigated. In this case, students show full effort to master the statistics course, feel statistics course enjoyable, have confidence that they have intellectual capacity, and they have more positive attitudes then negative attitudes towards statistics learning. In conclusion in terms of affect, cognitive competence, value, interest and effort construct the positive attitude towards statistics was mostly exhibited. While negative attitudes mostly exhibited by difficulty construct.

Cognitive processing speed in older adults: relationship with white matter integrity.

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Geoffrey A Kerchner

Full Text Available Cognitive processing slows with age. We sought to determine the importance of white matter integrity, assessed by diffusion tensor imaging (DTI, at influencing cognitive processing speed among normal older adults, assessed using a novel battery of computerized, non-verbal, choice reaction time tasks. We studied 131 cognitively normal adults aged 55-87 using a cross-sectional design. Each participant underwent our test battery, as well as MRI with DTI. We carried out cross-subject comparisons using tract-based spatial statistics. As expected, reaction time slowed significantly with age. In diffuse areas of frontal and parietal white matter, especially the anterior corpus callosum, fractional anisotropy values correlated negatively with reaction time. The genu and body of the corpus callosum, superior longitudinal fasciculus, and inferior fronto-occipital fasciculus were among the areas most involved. This relationship was not explained by gray or white matter atrophy or by white matter lesion volume. In a statistical mediation analysis, loss of white matter integrity mediated the relationship between age and cognitive processing speed.

Infertile Individuals’ Marital Relationship Status, Happiness, and Mental Health: A Causal Model

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Seyed Habiballah Ahmadi Forooshany

2014-11-01

Full Text Available Background: This study examined the causal model of relation between marital relationship status, happiness, and mental health in infertile individuals. Materials and Methods: In this descriptive study, 155 subjects (men: 52 and women: 78, who had been visited in one of the infertility Centers, voluntarily participated in a self-evaluation. Golombok Rust Inventory of Marital Status, Oxford Happiness Questionnaire, and General Health Questionnaire were used as instruments of the study. Data was analyzed by SPSS17 and Amos 5 software using descriptive statistics, independent sample t test, and path analysis. Results: Disregarding the gender factor, marital relationship status was directly related to happiness (p<0.05 and happiness was directly related to mental health, (p<0.05. Also, indirect relation between marital relationship status and mental health was significant (p<0.05. These results were confirmed in women participants but in men participants only the direct relation between happiness and mental health was significant (p<0.05. Conclusion: Based on goodness of model fit in fitness indexes, happiness had a mediator role in relation between marital relationship status and mental health in infertile individuals disregarding the gender factor. Also, considering the gender factor, only in infertile women, marital relationship status can directly and indirectly affect happiness and mental health.

The relationship between students’ use of ICT for social communication and their computer and information literacy

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Meral Alkan

2016-09-01

Full Text Available Abstract This study investigates the relationship between students’ use of information and communication technology (ICT for social communication and their computer and information literacy (CIL scores. It also examines whether gender and socioeconomic background moderates this relationship. We utilized student data from IEA’s International Computer and Information Study (ICILS to build multivariate regression models for answering the research questions, and accounted for the complex sample structure of the data by using weights for all statistical analyses, employing jackknife repeated replication for variance estimation. Students who frequently use the internet for messaging and participation in social networks (i.e., at least once a week scored on average 44 points higher than those who use ICT for the same purpose only less than once a week or never. The direction of this effect was the same in all 21 participating educational systems, the difference ranging from 19 to 75 points (always statistically significant. We continued the analysis by testing whether the relationship is moderated by gender; as girls use more often ICT for social communication and have higher CIL scores on average. After controlling for the gender effect the CIL scores between the two examined groups decreased only by 2 points on average. Even after including students’ socio-economic background into the model, the difference in CIL between the two groups of interest declined only little—to 32 points on average across all countries. The difference remained to be statistically significant in all countries but one. The results suggest a strong relationship between students’ CIL proficiency level and the frequency of their use of electronic devices for social communication; hence, respective skills needed at schools and later on at the workplace are reflected in their use outside of school and for socializing.

The prognostic significance and relationship with body composition of CCR7-positive cells in colorectal cancer.

Science.gov (United States)

Malietzis, George; Lee, Gui Han; Bernardo, David; Blakemore, Alexandra I F; Knight, Stella C; Moorghen, Morgan; Al-Hassi, Hafid O; Jenkins, John T

2015-07-01

The host local immune response (LIR) to cancer is a determinant of cancer outcome. Regulation of this local response is largely achieved through chemokine synthesis from the tumor microenvironment such as C-Chemokine-Receptor-7 (CCR7). We examined the LIR measured as CCR7 expression, in colorectal cancers (CRC) and explored relationships with body composition (BC) and survival. A study of paraffin-embedded tissue specimens was carried out in 116 patients with non-metastatic CRC. CCR7 expression was determined by immunohistochemistry. Analysis of computer tomography scans was used to calculate BC parameters. Survival analyses and multivariate regression models were used. High CCR7(+) cell density within the tumor stroma and at the margin was significantly associated with increased age, the presence of lymphovascular invasion, higher tumor stage, lymph node metastasis, high Klintrup-Makinen immune score, and myosteatosis. High CCR7(+) cell density in the tumor margin was significantly associated with shorter disease-free (DFS) and overall survival (OS) (P < 0.001). This was also significantly associated with shorter survival in multivariate analysis (HR = 8.87; 95%CI [2.51-31.3]; P < 0.01 for OS and HR = 4.72; 95%CI (1.24-12.9); P = 0.02 for DFS). Our results suggest that a specific immune microenvironment may be associated with altered host's BC and tumor behavior, and that CCR7 may serve as a novel prognostic biomarker. © 2015 Wiley Periodicals, Inc.

Evolutionary relationship between dinoflagellates bearing obligate diatom endosymbionts: insight into tertiary endosymbiosis.

Science.gov (United States)

Inagaki, Y; Dacks, J B; Doolittle, W F; Watanabe, K I; Ohama, T

2000-11-01

The marine dinoflagellates Peridinium balticum and Peridinium foliaceum are known for bearing diatom endosymbionts instead of peridinin-containing plastids. While evidence clearly indicates that their endosymbionts are closely related, the relationship between the host dinoflagellate cells is not settled. To examine the relationship of the two dinoflagellates, the DNA sequences of nuclear small-subunit rRNA genes (SSU rDNA) from Peridinium balticum, Peridinium foliaceum and one other peridinin-containing species, Peridinium bipes, were amplified, cloned and sequenced. While phylogenetic analyses under simple models of nucleotide substitution weakly support the monophyly of Peridinium balticum and Peridinium foliaceum, analyses under more sophisticated models significantly increased the statistical support for this relationship. Combining these results with the similarity between the two endosymbionts, it is concluded that (i) the two hosts have the closest sister relationship among dinoflagellates tested, (ii) the hypothesis that the diatom endosymbiosis occurred prior to the separation of the host cells is most likely to explain their evolutionary histories, and (iii) phylogenetic inferences under complex nucleotide evolution models seem to be able to compensate significant rate variation in the two SSU rDNA.

Relationship between perception of parental communication styles incompatibility amongst high school students

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Mohammad Akbari Booreng

2017-07-01

Full Text Available Family is an influential setting in physical and mental health of children and adolescents. Accordingly, studying the atmosphere and current relationships in the family in terms of their effect on children and adolescents is highly necessary. This study was designed and conducted to investigate the relationship between students' perception of parental communication styles and their own incompatibility. In this descriptive study, population consisted of female students of high school, of whom, 300 were selected and studied in a random cluster method. Data were collected using the standardized students' compatibility and family communication pattern questionnaire. The results showed a significant relationship only between emotional incompatibility and conformity communication orientation. A statistically significant relationship was also observed between general incompatibility and conformity communication orientation. The results also showed that parental communication styles have a role in children's incompatibility. Analysis of each dependent parameter alone showed a difference in parental communication styles only in emotional incompatibility component. Pluralistic family communication style is associated with emotional compatibility of children of the family. The present study results relating to role of communication styles in students' compatibility suggest that it is necessary to teach parents appropriate communication styles.

Financialization may affect the therapeutic relationship in psychotherapy

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Marcin Jacek Jabłoński

2015-04-01

Full Text Available Background: The therapeutic relationship is one of the most important and independent predictors in psychotherapy. Therapeutic relationships take place in a social environment, which shapes the mentality of therapists. One of the important aspects of this environment is financialization, which is considered to be the most significant socioeconomic phenomenon characteristic of capitalism. The aim of this paper is to discuss the effect of financialization on the attitudes of psychotherapists and on the quality of care they provide. Discussion: The paper presents a theoretical analysis of the relationship between the primary constituents of the therapeutic relationship (i.e. trust, realness, individuality of approach, honesty, truth, ethics, the good of the patient and the phenomena characteristic of the process of financialization (such as replacement of relationship for transaction, distrust, advertisement, statistics, profitability, acceptance of a lie, relativism, consumptionism, perception of own benefits. Summary: Financialization can change the therapeutic relationship through indiscriminate introjection of financialization by the therapist. The primary cognitive and behavioural effect of this process is a shift in the proportions between the foundations of therapeutic relationship towards the foundations of financialization (as defined in this article. To the best of our knowledge, this is the first article presenting the correlation between financialization and psychotherapy.

The relationship between continuum homogeneity and statistical homogeneity in cosmology

International Nuclear Information System (INIS)

Stoeger, W.R.; Ellis, G.F.R.; Hellaby, C.

1987-01-01

Although the standard Friedmann-Lemaitre-Robertson-Walker (FLRW) Universe models are based on the concept that the Universe is spatially homogeneous, up to the present time no definition of this concept has been proposed that could in principle be tested by observation. Such a definition is here proposed, based on a simple spatial averaging procedure, which relates observable properties of the Universe to the continuum homogeneity idea that underlies the FLRW models. It turns out that the statistical homogeneity often used to describe the distribution of matter on a large scale does not imply spatial homogeneity according to this definition, and so cannot be simply related to a FLRW Universe model. Values are proposed for the homogeneity parameter and length scale of homogeneity of the Universe. (author)

Exploring relationship between value- and life-orientation and job satisfaction

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L. Louw

2012-12-01

Full Text Available Purpose/objective: The purpose of this article is to investigate the relationship between value- and life-orientation and job satisfaction, as well as determining the influence of gender, age and cultural group within the selected South African organisational context. Problem investigated: The success of a diverse organisation in a complex globalised world is largely dependent on the values of managers, their life-orientation and their level of job satisfaction. Managers and employees, in a multicultural and diverse South African organisational context, need to be aware of and manage their similarities and differences in these aspects to contribute to overall organisational success. Design and/or research methodology and/or approach: In this exploratory research, use is made of a quantitative perspective in the positivist research paradigm. Value-orientations of managers (N = 30 at a selected parastatal organisation in the Eastern Cape Province in South Africa were measured by making use of the Schwartz Value Survey (SVS (Schwartz, 1992,1994; life-orientation, also referred to as Sense of Coherence (SOC, was assessed by using Antonovsky's (1997 Life Orientation Questionnaire as well as job satisfaction (JS using Smith, Kendall and Hulin's (1969's Job Descriptive Index. Data were analysed using the R statistical software package (R Development Core Team, 2010. Each of the three research instruments (SVS, SOC & JS considered in this study were used to calculate descriptive statistics and univariate statistical methodologies were used to test the various hypotheses. Findings and/or implementations: In terms of value-orientation, the value of benevolence (preservation and enhancement of the welfare of others was scored the highest by the managers, and a significant difference was found in the average value scale score of stimulation (excitement, novelty, and challenge in life and age. The findings with regard to life-orientation indicated that

The relationship between self-disgust, guilt, and flow experience among Japanese undergraduates

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Hirao K

2013-07-01

Full Text Available Kazuki Hirao, Ryuji Kobayashi Department of Occupational Therapy, School of Health Science and Social Welfare, Kibi International University, Okayama, Japan Purpose: To determine the relationship between self-disgust, guilt, and flow experience. Methods: A cross-sectional survey was conducted in a convenience sample of 142 Kibi International University students (mean age, 20.09 ± 1.24 years; 85 males and 57 females. Each participant was evaluated using the Flow Experience Checklist, Self-Disgust Scale, and Situational Guilt Inventory. Correlation analysis was used to describe the strength and direction of the relationship between variables. We employed Pearson's partial correlations, adjusted for age and sex, using dummy variables (female = 0, male = 1. Results: Analysis of the relationship between the frequency of flow experience and the Self-Disgust Scale scores showed a statistically significant negative correlation, whereas the duration of the activity and the Situational Guilt Inventory score showed a significant positive correlation. The quality of flow experience and the Situational Guilt Inventory score showed a significant positive correlation. Conclusion: These findings suggest that flow experience could be helpful for those who need treatment to reduce negative emotions. Keywords: negative emotion, mental health, positive psychology

The relationship of anger and cognitive distortions with violence in violent offenders’ population: A meta-analytic review

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Sebastian Pintea

2012-01-01

Full Text Available In the present meta-analysis, the magnitude of the relationship between cognitive distortions and anger and violent behaviour of incarcerated offenders, based on selected data for the relationship between anger and violence, and cognitive distortions and violence was empirically assessed. Out of nineteen studies included for analysis nine of them contain statistical indicators regarding the relationship between anger and violence, and fourteen studies regarding cognitive distortions and violence. The results indicated a strong relationship both between anger and violence, and between cognitive distortions and violent behaviour. Furthermore, the moderating effect of the type of instruments (self-reported vs. observational behavioural measurements used for violence assessment was tested. The results indicated that the type of instruments had no significant influence on the cognition-violence relationship, QB(1 = 0.12, p > .05, while in case of the anger-violence relationship, a significant moderating effect was identified, QB(1 = 14.26, p < .01, which supports a higher effect size when violence was measured by a self-reported than when was measured by behavioural observation.

Analysis of room transfer function and reverberant signal statistics

DEFF Research Database (Denmark)

Georganti, Eleftheria; Mourjopoulos, John; Jacobsen, Finn

2008-01-01

For some time now, statistical analysis has been a valuable tool in analyzing room transfer functions (RTFs). This work examines existing statistical time-frequency models and techniques for RTF analysis (e.g., Schroeder's stochastic model and the standard deviation over frequency bands for the RTF...... magnitude and phase). RTF fractional octave smoothing, as with 1-slash 3 octave analysis, may lead to RTF simplifications that can be useful for several audio applications, like room compensation, room modeling, auralisation purposes. The aim of this work is to identify the relationship of optimal response...... and the corresponding ratio of the direct and reverberant signal. In addition, this work examines the statistical quantities for speech and audio signals prior to their reproduction within rooms and when recorded in rooms. Histograms and other statistical distributions are used to compare RTF minima of typical...

THE ROLE OF MINDFULNESS IN THE RELATIONSHIP BETWEEN LIFE SATISFACTION AND SPIRITUAL WELLBEING AMONGST THE ELDERLY

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Bester, Edelweiss

2016-08-01

Full Text Available A non-experimental research design was used to investigate the role of mindfulness in the relationship between life satisfaction and spiritual wellbeing amongst elderly residents (N=122 from two retirement villages in Bloemfontein. A biographical questionnaire, the Mindful Attention Awareness Scale (MAAS, the Spiritual Well-being Questionnaire (SWBQ, and the Satisfaction with Life Scale (SWLS were utilised. This study yielded a statistically significant relationship between mindfulness, life satisfaction and spiritual wellbeing. Mindfulness was also a moderator in the relationship between life satisfaction and spiritual wellbeing. These findings can inform social work interventions aimed at optimising life satisfaction and spiritual wellbeing amongst the elderly.

Analysis of relationship between registration performance of point cloud statistical model and generation method of corresponding points

International Nuclear Information System (INIS)

Yamaoka, Naoto; Watanabe, Wataru; Hontani, Hidekata

2010-01-01

Most of the time when we construct statistical point cloud model, we need to calculate the corresponding points. Constructed statistical model will not be the same if we use different types of method to calculate the corresponding points. This article proposes the effect to statistical model of human organ made by different types of method to calculate the corresponding points. We validated the performance of statistical model by registering a surface of an organ in a 3D medical image. We compare two methods to calculate corresponding points. The first, the 'Generalized Multi-Dimensional Scaling (GMDS)', determines the corresponding points by the shapes of two curved surfaces. The second approach, the 'Entropy-based Particle system', chooses corresponding points by calculating a number of curved surfaces statistically. By these methods we construct the statistical models and using these models we conducted registration with the medical image. For the estimation, we use non-parametric belief propagation and this method estimates not only the position of the organ but also the probability density of the organ position. We evaluate how the two different types of method that calculates corresponding points affects the statistical model by change in probability density of each points. (author)

Relationship Between Exposure to Industrial Noise and Serum Lipid Profile

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Ramin Mehrdad

2011-11-01

Full Text Available Aim of our study was to investigate the effects of exposure to industrial noise on serum lipid profile among workers who are exposed to noise at work. In a historical cohort study, we recruited 154 and 146 male workers as high and low level noise exposure groups respectively. We defined workers with at least one year exposure to noise level more than 90 dB as high exposure group, and those with exposure to less than 80 dB as low exposure group. Afterwards, in the fasting blood specimens of participants we measured serum Triglyceride (TG, total Cholesterol (TC, high and low density lipoprotein (HDL and LDL. Mean of TG, TC, HDL and LDL for low exposure group were 148, 189, 38 and 103 mg/dl and for high exposure group were 237, 189, 37 and 104 mg/dl respectively. Mean serum TG between two groups was different. Even after adjustment for age, BMI, smoking and work hours per week, serum TG among high exposure group was 89 mg/dl higher than low exposure group and this difference was statistically significant (P=0.00. There was no significant difference between two groups in TC, LDL and HDL levels. This study did not find a statistically significant relationship between exposure to noise and serum TC, LDL and HDL, but TG in two groups was different and this difference was statistically significant.

Statistics: a Bayesian perspective

National Research Council Canada - National Science Library

Berry, Donald A

1996-01-01

...: it is the only introductory textbook based on Bayesian ideas, it combines concepts and methods, it presents statistics as a means of integrating data into the significant process, it develops ideas...

Quality of the leader-member relationship and the organizational commitment of nurses.

Science.gov (United States)

Nunes, Elisabete Maria Garcia Teles; Gaspar, Maria Filomena Mendes

2017-12-18

To understand the perception of the quality of leadership relationships and the organizational commitment of nurses, and to analyze the influence of this relationship quality. Cross-sectional and correlational study, with a quantitative approach, using a non-probability convenience sampling with 408 nurses. The data were collected through questionnaires at Central Hospital in Lisbon, between January and March 2013. The statistical analysis of the data was carried out using IBM® SPSS® Statistics 19 software. Three hundred forty-two questionnaires were considered valid. The quality of the leadership relationship was satisfactory, and the nurses were poorly committed to the organization. The quality of the leadership relationship was statistically correlated with organizational commitment: there was found a moderate association to affective commitment (rs=0.42, pcommitment (rs=0.37, pcommitment (rs=0.14, porganizational commitment. An opportunity to improve the quality of the leadership relationship between nurses and their leaders was found, with the consequent possibility of developing organizational commitment.

Inter- relationship between rheumatoid arthritis and periodontitis.

Science.gov (United States)

Rajkarnikar, J; Thomas, B S; Rao, S K

2013-01-01

Periodontal medicine defines a rapidly emerging branch of Periodontology focusing on establishing a strong relationship between periodontal health and systemic health. It is speculated that the major common dysregulation which links Periodontitis with Rheumatoid arthritis (RA) is being played by the mediators of immune inflammatory response. To determine whether there is any relationship between periodontal disease and Rheumatoid arthritis. A total of 100 patients were included for the present study which was divided into two groups: one group (cases) included 50 patients attending the Department of Orthopedics, Kasturba Medical College, Manipal who were diagnosed of Rheumatoid arthritis. Another subject population included 50 patients as controls attending the Department of Oral Medicine, Manipal College of Dental Sciences, Manipal with age and gender matched with those of rheumatoid arthritis group. Specific measures for periodontitis included plaque index, gingival index, number of missing teeth, and radiographic alveolar bone loss scores. Measures of rheumatoid arthritis included health assessment questionaires, levels of C-reactive protein (CRP) and erythrocyte sedimentation rate (ESR). Various periodontal parameters were compared between the cases and controls. The average alveolar bone loss was statistically more severe in Rheumatoid arthritis (RA) group than in the controls although there were similar plaque index in both the groups. The gingival index was statistically higher in the RA group. The Erythrocyte Sedimentation Rate (ESR) and C- Reactive Protein (CRP) levels of RA patients were also significantly associated with the severity of periodontal disease. There was a significant association between Rheumatoid arthritis and Periodontitis which may be due to a common underlying deregulation of the inflammatory response in these individuals.

Radiological compromise and their relationship with the clinical course in the patients with pneumonia acquired in the community assisted in the Hospital San Juan de Dios de Bogota

International Nuclear Information System (INIS)

Marin, Jorge H; Saavedra, Carlos; Carrillo B, Jorge; Perez, Maria T

1998-01-01

In order to establish the relationship between the initial radiographic findings of patients with community - acquired pneumonia and their clinical course, a prospective study of 204 patients with this diagnosis was performed we found a statistically significant relationship between radiographic findings and the development of complications or death

Statistical Analysis and Evaluation of the Depth of the Ruts on Lithuanian State Significance Roads

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Erinijus Getautis

2011-04-01

Full Text Available The aim of this work is to gather information about the national flexible pavement roads ruts depth, to determine its statistical dispersijon index and to determine their validity for needed requirements. Analysis of scientific works of ruts apearance in the asphalt and their influence for driving is presented in this work. Dynamical models of ruts in asphalt are presented in the work as well. Experimental outcome data of rut depth dispersijon in the national highway of Lithuania Vilnius – Kaunas is prepared. Conclusions are formulated and presented. Article in Lithuanian

Long-term strategy for the statistical design of a forest health monitoring system

Science.gov (United States)

Hans T. Schreuder; Raymond L. Czaplewski

1993-01-01

A conceptual framework is given for a broad-scale survey of forest health that accomplishes three objectives: generate descriptive statistics; detect changes in such statistics; and simplify analytical inferences that identify, and possibly establish cause-effect relationships. Our paper discusses the development of sampling schemes to satisfy these three objectives,...

MIDAS: Regionally linear multivariate discriminative statistical mapping.

Science.gov (United States)

Varol, Erdem; Sotiras, Aristeidis; Davatzikos, Christos

2018-07-01

Statistical parametric maps formed via voxel-wise mass-univariate tests, such as the general linear model, are commonly used to test hypotheses about regionally specific effects in neuroimaging cross-sectional studies where each subject is represented by a single image. Despite being informative, these techniques remain limited as they ignore multivariate relationships in the data. Most importantly, the commonly employed local Gaussian smoothing, which is important for accounting for registration errors and making the data follow Gaussian distributions, is usually chosen in an ad hoc fashion. Thus, it is often suboptimal for the task of detecting group differences and correlations with non-imaging variables. Information mapping techniques, such as searchlight, which use pattern classifiers to exploit multivariate information and obtain more powerful statistical maps, have become increasingly popular in recent years. However, existing methods may lead to important interpretation errors in practice (i.e., misidentifying a cluster as informative, or failing to detect truly informative voxels), while often being computationally expensive. To address these issues, we introduce a novel efficient multivariate statistical framework for cross-sectional studies, termed MIDAS, seeking highly sensitive and specific voxel-wise brain maps, while leveraging the power of regional discriminant analysis. In MIDAS, locally linear discriminative learning is applied to estimate the pattern that best discriminates between two groups, or predicts a variable of interest. This pattern is equivalent to local filtering by an optimal kernel whose coefficients are the weights of the linear discriminant. By composing information from all neighborhoods that contain a given voxel, MIDAS produces a statistic that collectively reflects the contribution of the voxel to the regional classifiers as well as the discriminative power of the classifiers. Critically, MIDAS efficiently assesses the

Relationship Between Postpartum Depression and Psychological and Biological Variables in the Initial Postpartum Period.

Science.gov (United States)

Marín-Morales, Dolores; Toro-Molina, Susana; Peñacoba-Puente, Cecilia; Losa-Iglesias, Marta; Carmona-Monge, Francisco Javier

2018-06-01

Objectives The aims of this study were to evaluate the predictive relationship between psychological symptomatology 24 h postpartum and depression 4 months postpartum, and analyze the relationship between estradiol and postpartum mood. Methods Two hundred women participated in an assessment 24 h postpartum and gave a blood sample for estradiol analysis. One hundred eleven of these women completed the second assessment 4 months postpartum. The Beck Depression Inventory II and the Scale of State-Trait Anxiety were used to assess psychological symptoms. Results At 24 h postpartum, symptoms of depression, trait anxiety, and state anxiety were all significantly correlated with each other. Depression at 24 h postpartum was the only significant independent predictor of depression at 4 months postpartum, explaining 28.7% of the variance. No statistically significant relationship was found between levels of estradiol and mood. Symptoms of depression immediately postpartum thus appear to be a predictor of postpartum depression. Conclusions for Practice These results suggest that early postpartum psychological evaluation of the mother, and intervention as warranted, might prevent or lessen postpartum depression.

The relationship between temporomandibular dysfunction and head and cervical posture

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Ricardo Alves Matheus

2009-06-01

Full Text Available OBJECTIVE: This study aimed to evaluate the possibility of any correlation between disc displacement and parameters used for evaluation of skull positioning in relation to the cervical spine: craniocervical angle, suboccipital space between C0-C1, cervical curvature and position of the hyoid bone in individuals with and without symptoms of temporomandibular dysfunction. MATERIAL AND METHODS: The patients were evaluated following the guidelines set forth by RDC/TMD. Evaluation was performed by magnetic resonance imaging for establishment of disc positioning in the temporomandibular joints (TMJs of 30 volunteer patients without temporomandibular dysfunction symptoms and 30 patients with symptoms. Evaluation of skull positioning in relation to the cervical spine was performed on lateral cephalograms achieved with the individual in natural head position. Data were submitted to statistical analysis by Fisher's exact test at 5% significance level. To measure the degree of reproducibility/agreements between surveys, the kappa (K statistics was used. RESULTS: Significant differences were observed between C0-C1 measurement for both symptomatic (p=0.04 and asymptomatic (p=0.02. No statistical differences were observed regarding craniocervical angle, C1-C2 and hyoid bone position in relation to the TMJs with and without disc displacement. Although statistically significant difference was found in the C0-C1 space, no association between these and internal temporomandibular joint disorder can be considered. CONCLUSIONS: Based on the results observed in this study, no direct relationship could be determined between the presence of disc displacement and the variables assessed.

The Relationship between Iranian EFL Learners’ Autonomy and their Vocabulary Learning Strategies with a Focus on Gender

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Elham Sedighi

2016-05-01

Full Text Available The purpose of the present study was to investigate the relationship between Iranian EFL learners’ use of vocabulary learning strategies and their autonomy with a focus on the gender. To meet this objective, 82(39 males and 43 females sophomore and junior students majoring in English Language Teaching who had passed at least 45 credits at Tabriz Azad University, in Iran were asked to take part in the study by filling the questionnaires on learner autonomy (LAQ and vocabulary learning strategies (VLSQ. After discarding incomplete questionnaires, 70 acceptable cases were used in the statistical analysis. Correlation analysis indicated a statistically significant and positive relationship between Iranian EFL learners’ use of vocabulary learning strategies and their autonomy for both male and female students. The findings can have some pedagogical implications for teachers.

Stable statistical representations facilitate visual search.

Science.gov (United States)

Corbett, Jennifer E; Melcher, David

2014-10-01

Observers represent the average properties of object ensembles even when they cannot identify individual elements. To investigate the functional role of ensemble statistics, we examined how modulating statistical stability affects visual search. We varied the mean and/or individual sizes of an array of Gabor patches while observers searched for a tilted target. In "stable" blocks, the mean and/or local sizes of the Gabors were constant over successive displays, whereas in "unstable" baseline blocks they changed from trial to trial. Although there was no relationship between the context and the spatial location of the target, observers found targets faster (as indexed by faster correct responses and fewer saccades) as the global mean size became stable over several displays. Building statistical stability also facilitated scanning the scene, as measured by larger saccadic amplitudes, faster saccadic reaction times, and shorter fixation durations. These findings suggest a central role for peripheral visual information, creating context to free resources for detailed processing of salient targets and maintaining the illusion of visual stability.

The Relationship between Financial Freedom, Financial Depth and Mutual Funds: Panel Bounds Testing Approach

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Gönül YÜCE

2013-03-01

Full Text Available The purpose of this study is to investigate the nexus between mutual fund assets, financial freedom, and financial depth in 54 countries from 2000 to 2011 by employing panel ARDL bounds testing approach. To examine this linkage, we use the two-step procedure from ARDL bounds testing model: In first step, we explore the long-term relationship between the variables by using ARDL test of cointegration. Secondly, we employ a dynamic error correction model to explore the short-term relationship between the variables. All results suggest that there is a positive and statistically significant evidence between central bank independence, financial freedom, and economic growth in both long and short-term. Besides, long-term empirical results refer that current period central bank independence and financial freedom are the important factors for determining the national output level. In addition, the results of the short-term dynamics are parallel with the long-term estimation results. Furthermore, because the error correction term is found negative and statistically significant, it can be said that the variables converge to equilibrium quickly, and short-term imbalances will be overcomed in the long-term.

The Relationship between Leadership Style, Organizational Culture, and Job Satisfaction in the U.S. Healthcare Industry

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Mouhamadou Sow

2017-03-01

Full Text Available The purpose of this quantitative, correlational study, based on the theoretical framework of transformational leadership, was to examine the relationships between leadership style, organizational culture, and job satisfaction in the U.S. healthcare industry. The study addressed a problem faced by U.S. healthcare leaders, who are currently unaware as to how transformational leadership and organizational culture can impact job satisfaction in an industry with high burnout and low satisfaction levels. The following research questions were posed: (1 Is there a statistically significant relationship between transformational leadership and job satisfaction in the U.S. healthcare industry? (2 Is there a statistically significant relationship between organizational culture and job satisfaction in the U.S. healthcare industry? (3 Is the relationship between transformational leadership and job satisfaction in the U.S. healthcare industry mediated by organizational culture? Data to answer the research questions were collected through simple random sampling processes that resulted in a sample of 111 American healthcare employees and analyzed with Stata software. The main finding of the study was that an apparent effect of transformational leadership on job satisfaction disappeared when organizational culture variables were taken into consideration. The results suggest that healthcare organizations should attempt to move away from externally focused cultures in order to increase job satisfaction. Such a move could improve social outcomes by improving the quality of work for millions of stressed American healthcare employees.

Relationship between the generalized equivalent uniform dose formulation and the Poisson statistics-based tumor control probability model

International Nuclear Information System (INIS)

Zhou Sumin; Das, Shiva; Wang Zhiheng; Marks, Lawrence B.

2004-01-01

The generalized equivalent uniform dose (GEUD) model uses a power-law formalism, where the outcome is related to the dose via a power law. We herein investigate the mathematical compatibility between this GEUD model and the Poisson statistics based tumor control probability (TCP) model. The GEUD and TCP formulations are combined and subjected to a compatibility constraint equation. This compatibility constraint equates tumor control probability from the original heterogeneous target dose distribution to that from the homogeneous dose from the GEUD formalism. It is shown that this constraint equation possesses a unique, analytical closed-form solution which relates radiation dose to the tumor cell survival fraction. It is further demonstrated that, when there is no positive threshold or finite critical dose in the tumor response to radiation, this relationship is not bounded within the realistic cell survival limits of 0%-100%. Thus, the GEUD and TCP formalisms are, in general, mathematically inconsistent. However, when a threshold dose or finite critical dose exists in the tumor response to radiation, there is a unique mathematical solution for the tumor cell survival fraction that allows the GEUD and TCP formalisms to coexist, provided that all portions of the tumor are confined within certain specific dose ranges

Perceived Statistical Knowledge Level and Self-Reported Statistical Practice Among Academic Psychologists

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Laura Badenes-Ribera

2018-06-01

Full Text Available Introduction: Publications arguing against the null hypothesis significance testing (NHST procedure and in favor of good statistical practices have increased. The most frequently mentioned alternatives to NHST are effect size statistics (ES, confidence intervals (CIs, and meta-analyses. A recent survey conducted in Spain found that academic psychologists have poor knowledge about effect size statistics, confidence intervals, and graphic displays for meta-analyses, which might lead to a misinterpretation of the results. In addition, it also found that, although the use of ES is becoming generalized, the same thing is not true for CIs. Finally, academics with greater knowledge about ES statistics presented a profile closer to good statistical practice and research design. Our main purpose was to analyze the extension of these results to a different geographical area through a replication study.Methods: For this purpose, we elaborated an on-line survey that included the same items as the original research, and we asked academic psychologists to indicate their level of knowledge about ES, their CIs, and meta-analyses, and how they use them. The sample consisted of 159 Italian academic psychologists (54.09% women, mean age of 47.65 years. The mean number of years in the position of professor was 12.90 (SD = 10.21.Results: As in the original research, the results showed that, although the use of effect size estimates is becoming generalized, an under-reporting of CIs for ES persists. The most frequent ES statistics mentioned were Cohen's d and R2/η2, which can have outliers or show non-normality or violate statistical assumptions. In addition, academics showed poor knowledge about meta-analytic displays (e.g., forest plot and funnel plot and quality checklists for studies. Finally, academics with higher-level knowledge about ES statistics seem to have a profile closer to good statistical practices.Conclusions: Changing statistical practice is not

[The relationship between career decision-making self efficacy and anxiety].

Science.gov (United States)

Yao, Chen; Cai, Yun; Liu, Jia; Shan, Dan; Zhou, Xia

2012-03-01

The purpose of the paper is to examine the relationship among Career Decision-Making Self Efficacy, existential anxiety and anxiety in the sample of college students during the professional choice. Data on The Revised Career Decision-Making Self-Efficacy-Shot Form, Existential Anxiety Scale (EAS), SCL-90 and self-identity status were collected and analyzed on a sample of 500 college students. 201 rural students' career decision making self-efficacy scores were as follows: self-appraisal (12.58 ± 3.48), occupational information (12.07 ± 3.05), goal selection (12.48 ± 3.51), planning (12.17 ± 3.10), problem solving (9.75 ± 2.38), all scores were lower than urban students, the difference was statistically significant (P guilt anxiety (13.72 ± 2.38), alienation and loneliness anxiety (16.82 ± 2.51), all scores are higher than urban students, the difference was statistically significant (P decision making self-efficacy. There is a significant positive correlation between anxiety and existential anxiety. There exists a significant negative correlation among factors of student and career decision making self-efficacy and anxiety. Meaningless and emptiness anxiety on career decision making self-efficacy are significant predictors. There is negative correlation among existential anxiety, occupational information and anxiety during the professional choice.

Statistical methods for analysing the relationship between bank profitability and liquidity

OpenAIRE

Boguslaw Guzik

2006-01-01

The article analyses the most popular methods for the empirical estimation of the relationship between bank profitability and liquidity. Owing to the fact that profitability depends on various factors (both economic and non-economic), a simple correlation coefficient, two-dimensional (profitability/liquidity) graphs or models where profitability depends only on liquidity variable do not provide good and reliable results. Quite good results can be obtained only when multifactorial profitabilit...

Understanding Statistics - Cancer Statistics

Science.gov (United States)

Annual reports of U.S. cancer statistics including new cases, deaths, trends, survival, prevalence, lifetime risk, and progress toward Healthy People targets, plus statistical summaries for a number of common cancer types.

The Relationship between Student Voice and Perceptions of Motivation, Attachment, Achievement and School Climate in Davidson and Rutherford Counties

Science.gov (United States)

Matthews, Sharon Elizabeth

2010-01-01

This study investigated the extent to which there were statistically significant relationships between school administrators' systemic implementation of student voice work and student perceptions (i.e. achievement, motivation, attachment and school climate) and PLAN performance. Student voice was defined as students being equal partners in school…

Funding source and primary outcome changes in clinical trials registered on ClinicalTrials.gov are associated with the reporting of a statistically significant primary outcome: a cross-sectional study [v2; ref status: indexed, http://f1000r.es/5bj

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Sreeram V Ramagopalan

2015-04-01

Full Text Available Background: We and others have shown a significant proportion of interventional trials registered on ClinicalTrials.gov have their primary outcomes altered after the listed study start and completion dates. The objectives of this study were to investigate whether changes made to primary outcomes are associated with the likelihood of reporting a statistically significant primary outcome on ClinicalTrials.gov. Methods: A cross-sectional analysis of all interventional clinical trials registered on ClinicalTrials.gov as of 20 November 2014 was performed. The main outcome was any change made to the initially listed primary outcome and the time of the change in relation to the trial start and end date. Findings: 13,238 completed interventional trials were registered with ClinicalTrials.gov that also had study results posted on the website. 2555 (19.3% had one or more statistically significant primary outcomes. Statistical analysis showed that registration year, funding source and primary outcome change after trial completion were associated with reporting a statistically significant primary outcome. Conclusions: Funding source and primary outcome change after trial completion are associated with a statistically significant primary outcome report on clinicaltrials.gov.

Stage-discharge relationship in tidal channels

Science.gov (United States)

Kearney, W. S.; Mariotti, G.; Deegan, L.; Fagherazzi, S.

2016-12-01

Long-term records of the flow of water through tidal channels are essential to constrain the budgets of sediments and biogeochemical compounds in salt marshes. Statistical models which relate discharge to water level allow the estimation of such records from more easily obtained records of water stage in the channel. While there is clearly structure in the stage-discharge relationship, nonlinearity and nonstationarity of the relationship complicates the construction of statistical stage-discharge models with adequate performance for discharge estimation and uncertainty quantification. Here we compare four different types of stage-discharge models, each of which is designed to capture different characteristics of the stage-discharge relationship. We estimate and validate each of these models on a two-month long time series of stage and discharge obtained with an Acoustic Doppler Current Profiler in a salt marsh channel. We find that the best performance is obtained by models which account for the nonlinear and time-varying nature of the stage-discharge relationship. Good performance can also be obtained from a simplified version of these models which approximates the fully nonlinear and time-varying models with a piecewise linear formulation.

The Relationship Between Internalized Homophobia and Intimate Partner Violence in Same-Sex Relationships: A Meta-Analysis.

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Badenes-Ribera, Laura; Sánchez-Meca, Julio; Longobardi, Claudio

2017-01-01

A meta-analysis was conducted to investigate the association between internalized homophobia and intimate partner violence (IPV) perpetration and victimization in same-sex relationships. The literature search and the application of the inclusion criteria made it possible to identify 10 studies, 2 of which were excluded due to missing data. Therefore, eight studies were finally included in the meta-analysis. The results showed positive and statistically significant associations between internalized homophobia and IPV perpetration and victimization, indicating that higher levels of internalized homophobia were related to higher levels of IPV. Specifically, the pooled effect size for the relationship between internalized homophobia and IPV perpetration (all forms), it was r + = .147, 95% confidence interval (CI) = [.079, .214]; for the association between internalized homophobia and physical/sexual IPV perpetration, it was r + = .166, 95% CI [.109, .221]; p homophobia and psychological IPV perpetration, it was r + = .145, 95% CI [.073, .216]; and for the association between internalized homophobia and any type of IPV victimization, it was r + = .102, 95% CI [.030, .173]. Implications of these results for clinical practice and future research are discussed.

Metastability in Field Theory and Statistical Mechanics

International Nuclear Information System (INIS)

Carvalho, C.A. de.

1984-01-01

After a phase transition analysis which can occur in the framework of a scalar field theory, at finite temperature and in presence of a external field, possibles metastable situations are studied and also how is their relationship with the transitions. In both cases it is used a semiclassical approximation to the theory which, in Statistical Mechanics, corresponds to the droplet-bubble model. (L.C.) [pt

The statistical mechanics of learning a rule

International Nuclear Information System (INIS)

Watkin, T.L.H.; Rau, A.; Biehl, M.

1993-01-01

A summary is presented of the statistical mechanical theory of learning a rule with a neural network, a rapidly advancing area which is closely related to other inverse problems frequently encountered by physicists. By emphasizing the relationship between neural networks and strongly interacting physical systems, such as spin glasses, the authors show how learning theory has provided a workshop in which to develop new, exact analytical techniques

Comparing Relationships among Yield and Its Related Traits in Mycorrhizal and Nonmycorrhizal Inoculated Wheat Cultivars under Different Water Regimes Using Multivariate Statistics

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Armin Saed-Moucheshi

2013-01-01

Full Text Available Multivariate statistical techniques were used to compare the relationship between yield and its related traits under noninoculated and inoculated cultivars with mycorrhizal fungus (Glomus intraradices; each one consisted of three wheat cultivars and four water regimes. Results showed that, under inoculation conditions, spike weight per plant and total chlorophyll content of the flag leaf were the most important variables contributing to wheat grain yield variation, while, under noninoculated condition, in addition to two mentioned traits, grain weight per spike and leaf area were also important variables accounting for wheat grain yield variation. Therefore, spike weight per plant and chlorophyll content of flag leaf can be used as selection criteria in breeding programs for both inoculated and noninoculated wheat cultivars under different water regimes, and also grain weight per spike and leaf area can be considered for noninoculated condition. Furthermore, inoculation of wheat cultivars showed higher value in the most measured traits, and the results indicated that inoculation treatment could change the relationship among morphological traits of wheat cultivars under drought stress. Also, it seems that the results of stepwise regression as a selecting method together with principal component and factor analysis are stronger methods to be applied in breeding programs for screening important traits.

The effects of dynamics on statistical emission

International Nuclear Information System (INIS)

Friedman, W.A.

1989-01-01

The dynamical processes which occur during the disassembly of an excited nuclear system influence predictions arising from a statistical treatment of the decay of that system. Changes, during the decay period, in such collective properties as angular momentum, density, and kinetic energy of the emitting source affect both the mass and energy spectra of the emitted fragments. This influence will be examined. The author will explore the influence of nuclear compressibility on the decay process, in order to determine what information can be learned about this property from the products of decay. He will compare the relationship between disparate scenarios of decay: a succession of binary decays, each governed by statistics; and a full microcanonical distribution at a single freeze-out density. The author hopes to learn from the general nature of these two statistical predictions when one or the other might be more realistic, and what signatures resulting from the two models might be used to determine which accounts best for specific experimental results

The Relationship Between Radiative Forcing and Temperature. What Do Statistical Analyses of the Instrumental Temperature Record Measure?

International Nuclear Information System (INIS)

Kaufmann, R.K.; Kauppi, H.; Stock, J.H.

2006-01-01

Comparing statistical estimates for the long-run temperature effect of doubled CO2 with those generated by climate models begs the question, is the long-run temperature effect of doubled CO2 that is estimated from the instrumental temperature record using statistical techniques consistent with the transient climate response, the equilibrium climate sensitivity, or the effective climate sensitivity. Here, we attempt to answer the question, what do statistical analyses of the observational record measure, by using these same statistical techniques to estimate the temperature effect of a doubling in the atmospheric concentration of carbon dioxide from seventeen simulations run for the Coupled Model Intercomparison Project 2 (CMIP2). The results indicate that the temperature effect estimated by the statistical methodology is consistent with the transient climate response and that this consistency is relatively unaffected by sample size or the increase in radiative forcing in the sample

Confounding and Statistical Significance of Indirect Effects: Childhood Adversity, Education, Smoking, and Anxious and Depressive Symptomatology

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Mashhood Ahmed Sheikh

2017-08-01

mediate the association between childhood adversity and ADS in adulthood. However, when education was excluded as a mediator-response confounding variable, the indirect effect of childhood adversity on ADS in adulthood was statistically significant (p < 0.05. This study shows that a careful inclusion of potential confounding variables is important when assessing mediation.

Relationship between Learning Outcomes and Online Accesses

Science.gov (United States)

Suanpang, Pannee; Petocz, Peter; Reid, Anna

2004-01-01

This paper reports on a study carried out in Thailand investigating the relationship between students' use of an e-learning system and their learning outcomes in a course on Business Statistics. The results show a clear relationship between accesses to the e-learning system, as measured by number of "hits", and outcomes, as measured by…

The relationship between balance and vitamin 25(OH)D in fibromyalgia patients.

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Kasapoğlu Aksoy, Meliha; Altan, Lale; Ökmen Metin, Burcu

2017-09-01

Fibromyalgia syndrome (FMS) is a chronic disease characterized by diffuse pain of unknown cause, fatigue, sleep disorders, cognitive dysfunction, and sensitivity. Fibromyalgia was shown to be associated with balance problems and increased incidence of falls. There are many theoretical mechanisms related to the impact of vitamin D on postural control. The aim of the current study was to investigate the relationship between vitamin 25(OH)D levels and pain, balance and daily activities in patients with FMS. Patients aged 35-65 years who were diagnosed with FMS according to 1990 ACR diagnostic criteria were screened. Seventy patients diagnosed with FMS and 60 healthy controls with comparable age and gender were included in the study. Fibromyalgia impact scale (FIQ), Berg Balance Scale (BBS), the Nottingham Health Profile (NHP), and visual analog scale (VAS) were applied to the subjects. The subjects were divided into two groups by vitamin 25(OH)D level being above or below 30 ng/ml. A statistically significant difference was established between VAS, BBS value and all NHP subscale and NHP total values of FMS patients and those of healthy control group. The relationship between BBS and the level of vitamin 25(OH)D of all participants was investigated, a positive statistically significant relationship was found with Vit-D at r = 0.481 level (p < 0.05). It was observed that low vitamin D levels affected balance in both FMS group and healthy control group. It should be kept in mind that vitamin D level is likely to negatively affect balance and VAS values in FMS.

Chronic Arsenic Toxicity: Statistical Study of the Relationships Between Urinary Arsenic, Selenium and Antimony

OpenAIRE

Analía Boemo, BS; Irene María Lomniczi, PhD; Elsa Mónica Farfán Torres, PhD

2012-01-01

Background. The groundwater of Argentina’s Chaco plain presents arsenic levels above those suitable for human consumption. Studies suggest skin disorders among local populations caused by arsenic intake. The relationship between urinary arsenic and arsenic in drinking water is well known, but urinary arsenic alone is not enough for risk assessment due to modulating factors such as the intake of selenium and antimony. Objectives. Determining the relationship between urinary arsenic, seleniu...

Relationship Between Employee Job Satisfaction and Turnover Intention in Microfinance Banks in Pakistan

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Saghir Ahmed

2015-12-01

Full Text Available This study is conducted to analyse the factors, which significantly affect employee job satisfaction in Microfinance Banks of Pakistan. Furthermore, the impact of employee job satisfaction is evaluated on employee turnover intentions. Reward system and training opportunities are taken as independent variables. Primary data is used for this research, which was collected through questionnaire and the reliability of instrument is checked using Cronbach’s alpha. Statistical Package for Social Sciences (SPSS is used to process the collected data. Descriptive statistics are determined and correlation among variables is also calculated. OLS method is applied to find out the impact of independent variables and the results show that there is a significant positive correlation among training, reward system and employee job satisfaction, while a negative relationship is found between employee job satisfaction and employee turnover intention.

The incidence of significant relationships between selected parameters of feet and parameters of trunk in children aged 4, 5 and 6 years

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Mirosław Mrozkowiak

2018-02-01

2. Foot parameters revealed the most frequent significant relationship with trunk parameters in the sagittal and frontal planes. Trunk parameters with which foot parameters correlated most often included: asymmetry in the height of both scapulas with the right scapula up, inclination of thoracolumbar region and asymmetry in the height of waist triangles with the right triangle up.

Intermetallics structures, properties, and statistics

CERN Document Server

Steurer, Walter

2016-01-01

The focus of this book is clearly on the statistics, topology, and geometry of crystal structures and crystal structure types. This allows one to uncover important structural relationships and to illustrate the relative simplicity of most of the general structural building principles. It also allows one to show that a large variety of actual structures can be related to a rather small number of aristotypes. It is important that this book is readable and beneficial in the one way or another for everyone interested in intermetallic phases, from graduate students to experts in solid-state chemistry/physics/materials science. For that purpose it avoids using an enigmatic abstract terminology for the classification of structures. The focus on the statistical analysis of structures and structure types should be seen as an attempt to draw the background of the big picture of intermetallics, and to point to the white spots in it, which could be worthwhile exploring. This book was not planned as a textbook; rather, it...

[Big data in official statistics].

Science.gov (United States)

Zwick, Markus

2015-08-01

The concept of "big data" stands to change the face of official statistics over the coming years, having an impact on almost all aspects of data production. The tasks of future statisticians will not necessarily be to produce new data, but rather to identify and make use of existing data to adequately describe social and economic phenomena. Until big data can be used correctly in official statistics, a lot of questions need to be answered and problems solved: the quality of data, data protection, privacy, and the sustainable availability are some of the more pressing issues to be addressed. The essential skills of official statisticians will undoubtedly change, and this implies a number of challenges to be faced by statistical education systems, in universities, and inside the statistical offices. The national statistical offices of the European Union have concluded a concrete strategy for exploring the possibilities of big data for official statistics, by means of the Big Data Roadmap and Action Plan 1.0. This is an important first step and will have a significant influence on implementing the concept of big data inside the statistical offices of Germany.

A Study on the Relationship between Proprietorship Concentration and Profit Management in the Companies Listed in Tehran Stock Exchange

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Soghra Ranjbarian

2017-04-01

Full Text Available The presence of institutional investors may change the behaviors of companies. The impact of institutional investors on management decisions on financial affairs have been proven in other studies; yet, the present study aims to investigate the relationship between lack of information symmetry an concentration of proprietorship with profit management in the companies listed in Tehran Stock Exchange. The period under study included years 2004 to 2009. Rahavard Novin Computer application was utilized to collect the data; then they were calculated using Microsoft Excel.  SPSS computer application was used to test research hypothesis and conduct other statistical analysis using statistical methods like descriptive statistics, correlation (correlation coefficient, coefficient of determination, regression analysis and testing its coefficients, correlation analysis and test of coefficients and significance of the difference between two correlation coefficients. A total of 109 active companies in the stock exchange were selected as the sample of the study. Results on the first hypothesis revealed that the relationship between concentration of proprietorship and lack of information symmetry. In case of the second hypothesis, it is predicted that there is a significant relationship between profit management with lack of information symmetry and concentration of proprietorship. According to research results, investors and analysts ought to pay attention to factors like proprietorship composition, the level of information symmetry along with the figures published by the companies when making short and long-term decisions.

A Study on the Relationship between Proprietorship Concentration and Profit Management in the Companies Listed in Tehran Stock Exchange

Directory of Open Access Journals (Sweden)

Soghra Ranjbarian

2017-02-01

Full Text Available The presence of institutional investors may change the behaviors of companies. The impact of institutional investors on management decisions on financial affairs have been proven in other studies; yet, the present study aims to investigate the relationship between lack of information symmetry an concentration of proprietorship with profit management in the companies listed in Tehran Stock Exchange. The period under study included years 2004 to 2009. Rahavard Novin Computer application was utilized to collect the data; then they were calculated using Microsoft Excel.  SPSS computer application was used to test research hypothesis and conduct other statistical analysis using statistical methods like descriptive statistics, correlation (correlation coefficient, coefficient of determination, regression analysis and testing its coefficients, correlation analysis and test of coefficients and significance of the difference between two correlation coefficients. A total of 109 active companies in the stock exchange were selected as the sample of the study. Results on the first hypothesis revealed that the relationship between concentration of proprietorship and lack of information symmetry. In case of the second hypothesis, it is predicted that there is a significant relationship between profit management with lack of information symmetry and concentration of proprietorship. According to research results, investors and analysts ought to pay attention to factors like proprietorship composition, the level of information symmetry along with the figures published by the companies when making short and long-term decisions.

Bridging Weighted Rules and Graph Random Walks for Statistical Relational Models

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Seyed Mehran Kazemi

2018-02-01

Full Text Available The aim of statistical relational learning is to learn statistical models from relational or graph-structured data. Three main statistical relational learning paradigms include weighted rule learning, random walks on graphs, and tensor factorization. These paradigms have been mostly developed and studied in isolation for many years, with few works attempting at understanding the relationship among them or combining them. In this article, we study the relationship between the path ranking algorithm (PRA, one of the most well-known relational learning methods in the graph random walk paradigm, and relational logistic regression (RLR, one of the recent developments in weighted rule learning. We provide a simple way to normalize relations and prove that relational logistic regression using normalized relations generalizes the path ranking algorithm. This result provides a better understanding of relational learning, especially for the weighted rule learning and graph random walk paradigms. It opens up the possibility of using the more flexible RLR rules within PRA models and even generalizing both by including normalized and unnormalized relations in the same model.

Organizational downsizing and age discrimination litigation: the influence of personnel practices and statistical evidence on litigation outcomes.

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Wingate, Peter H; Thornton, George C; McIntyre, Kelly S; Frame, Jennifer H

2003-02-01

The present study examined relationships between reduction-in-force (RIF) personnel practices, presentation of statistical evidence, and litigation outcomes. Policy capturing methods were utilized to analyze the components of 115 federal district court opinions involving age discrimination disparate treatment allegations and organizational downsizing. Univariate analyses revealed meaningful links between RIF personnel practices, use of statistical evidence, and judicial verdict. The defendant organization was awarded summary judgment in 73% of the claims included in the study. Judicial decisions in favor of the defendant organization were found to be significantly related to such variables as formal performance appraisal systems, termination decision review within the organization, methods of employee assessment and selection for termination, and the presence of a concrete layoff policy. The use of statistical evidence in ADEA disparate treatment litigation was investigated and found to be a potentially persuasive type of indirect evidence. Legal, personnel, and evidentiary ramifications are reviewed, and a framework of downsizing mechanics emphasizing legal defensibility is presented.

The Relationship between Compulsive Behaviour and Internet Addiction

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Maria Rosita Cecilia

2013-08-01

Full Text Available A variety of behavioural and emotional problems among university students is due to Internet Addiction (Alavi et al. 2012, Rusconi et al. 2012. In 2013 a survey is conducted on a sample of 532 students of University of L’Aquila. The purpose is to investigate Internet use patterns and the correlation between Internet Addiction disorder and compulsive behaviour. Two self-administered questionnaires are used: the Internet Addiction Test and the Cognitive Behavioural Assessment 2.0. 517 students show signs of Internet Addiction, which is moderate for 31% of respondents and severe for 1% of them. 5% shows intrusive thoughts and compulsive behaviours. The symptoms of obsessive-compulsive disorder are statistically associated with Internet Addiction (chi² test=23.53, p=0.000. Among young people there is a relationship between compulsive behaviour and Internet Addiction. This relationship has significant effects on treatment of Internet Addiction.

Statistical evaluation of the feasibility of satellite-retrieved cloud parameters as indicators of PM2.5 levels.

Science.gov (United States)

Yu, Chao; Di Girolamo, Larry; Chen, Liangfu; Zhang, Xueying; Liu, Yang

2015-01-01

The spatial and temporal characteristics of fine particulate matter (PM2.5, particulate matter research has been conducted on the association between cloud properties and PM2.5 levels. In this study, we analyzed the relationships between ground PM2.5 concentrations and two satellite-retrieved cloud parameters using data from the Southeastern Aerosol Research and Characterization (SEARCH) Network during 2000-2010. We found that both satellite-retrieved cloud fraction (CF) and cloud optical thickness (COT) are negatively associated with PM2.5 levels. PM2.5 speciation and meteorological analysis suggested that the main reason for these negative relationships might be the decreased secondary particle generation. Stratified analyses by season, land use type, and site location showed that seasonal impacts on this relationship are significant. These associations do not vary substantially between urban and rural sites or inland and coastal sites. The statistically significant negative associations of PM2.5 mass concentrations with CF and COT suggest that satellite-retrieved cloud parameters have the potential to serve as predictors to fill the data gap left by satellite aerosol optical depth in satellite-driven PM2.5 models.

Relationship of Neonatal Leptin and Insulin to Birth Weight and Gender Difference as well as Their Relationship to Maternal Levels

International Nuclear Information System (INIS)

Ashry, Kh.M.

2005-01-01

Normal intrauterine growth and development is dependent on many factors of which hormonal factors have been implicated. The aim of the present work was to study the relationship of neonatal leptin and insulin to birth weight and gender difference as well as their relationship to maternal levels. Serum leptin level was assessed by competitive enzyme immunoassay and insulin level by radioimmunoassay in the cord blood of sixty neonates and the venous blood of their mothers. The neonates were classified according to their birth weight into: 23 appropriate for gestational age (AGA) (12 females and 11 males); 20 large for gestational age (LGA) (11 females and 9 males) and 17 small for gestational age (SGA) (9 femals and 8 males). Our results revealed a highly significant increase in maternal serum levels of leptin and insulin (24.1±11.8 ng/ml and 22.3±5.8 μ U/ml, respectively) when compared to neonatal levels (10.0 ± 7.4ng/ml and 7.4±4.3 μ U/ml, p<0.001, respectively). Cord blood leptin and insulin levels showed statistically significant differences between all weight classes with the highest levels in LGA neonates

[The Relationships among Perceived Parental Bonding, Illness Perception, and Anxiety in Adult Patients with Congenital Heart Diseases].

Science.gov (United States)

Shin, Nayeon; Jang, Youha; Kang, Younhee

2017-04-01

The purposes of this study were to identify the relationships among perceived parental bonding, illness perception, and anxiety and to determine the influences of perceived parental bonding and illness perception on anxiety in adult patients with congenital heart diseases. In this study a descriptive correlational design with survey method was utilized. The participants were 143 adult patients with congenital heart disease being cared for in the cardiology out-patient clinic of A medical center. Data were collected using the Parental Bonding Instrument, Illness Perception Questionnaire Revised Scale, and Cardiac Anxiety Questionnaire Scale. Data were analyzed using descriptive statistics, independent t-test, one-way ANOVA, Pearson correlation analysis, and hierarchial regression analyses. There showed significant positive relationships of anxiety with maternal overprotection, consequences, and personal control respectively. Among predictors, maternal overprotection (β=.45), consequence (β=.26), and personal control (β=-.03) had statistically significant influence on anxiety. Nursing interventions to decrease maternal overprotection and negative consequence, and to enhance personal control are essential to decrease the anxiety of adult patients with congenital heart diseases. © 2017 Korean Society of Nursing Science

Impact of parenting practices on parent-child relationships in children with specific learning disability

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S Karande

2011-01-01

Full Text Available Background: Parents of children with specific learning disability (SpLD undergo stress in coping up with their child′s condition. Aims: To document the parenting practices of parents having a child with newly diagnosed SpLD and to analyze their impact on parent-child relationships. Settings and Design: Cross-sectional questionnaire-based study in our clinic. Materials and Methods: From May 2007 to January 2008, 150 parents (either mother or father of children consecutively diagnosed as having SpLD were enrolled. Parenting practices and parent-child relationships were measured by the Alabama Parenting Questionnaire-Parent Form (APQ-PF and the Parent Child Relationship Questionnaire (PCRQ, respectively. Statistical Analysis Used: Pearson correlation coefficients between subscales of APQ-PF and PCRQ were computed. Multiple regression analysis was carried out for statistical significance of the clinical and demographic variables. Results: Parents who were: (i "involved" in parenting had a good "personal relationship and disciplinary warmth," (ii practicing "positive parenting" had good "warmth, personal relationship and disciplinary warmth," (iii "poorly supervising" their child′s activities lacked "warmth and personal relationship," (iv practicing "inconsistent discipline′ had a higher "power assertion" and (v practicing "corporal punishment" lacked "warmth" and had a higher "power assertion and possessiveness" in their relationships with their child. Parent being poorly educated or currently ill and child having all three types of SpLD present concomitantly or a sibling or a sibling with a chronic disability or being in class standard IX to XI were variables that independently predicted a poor parenting or parent-child relationship subscale score. Conclusions: The present study has identified parenting practices that need to be encouraged or excluded for improving parent-child relationships. Initiating these measures would help in the

Exploring the relationship between time management skills and the academic achievement of African engineering students - a case study

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Swart, Arthur James; Lombard, Kobus; de Jager, Henk

2010-03-01

Poor academic success by African engineering students is currently experienced in many higher educational institutions, contributing to lower financial subsidies by local governments. One of the contributing factors to this low academic success may be the poor time management skills of these students. This article endeavours to explore this relationship by means of a theoretical literature review and an empirical study. Numerous studies have been conducted in this regard, but with mixed results. The case study of this article involves a design module termed Design Projects III, where the empirical study incorporated an ex post facto study involving a pre-experimental/exploratory design using descriptive statistics. The results of this study were applied to various tests, which indicated no statistically significant relationship between time management skills and the academic achievement of African engineering students.