Validity of the Eating Disorder Examination Questionnaire (EDE-Q) in screening for eating disorders in community samples

In order to examine the concurrent and criterion validity of the questionnaire version of the Eating Disorders Examination (EDE-Q), self-report and interview formats were administered to a community sample of women aged 18-45 (n = 208). Correlations between EDE-Q and EDE subscales ranged from 0.68 for Eating Concern to 0.78 for Shape Concern. Scores on the EDE-Q were significantly higher than those of the EDE for all subscales, with the mean difference ranging from 0.25 for Restraint to 0.85 for Shape Concern. Frequency of both objective bulimic episodes (OBEs) and subjective bulimic episodes (SBEs) was significantly correlated between measures. Chance-corrected agreement between EDE-Q and EDE ratings of the presence of OBEs was fair, while that for SBEs was poor. Receiver operating characteristic (ROC) analysis, based on a sample of 13 cases, indicated that a score of 2.3 on the global scale of the EDE-Q in conjunction with the occurrence of any OBEs and/or use of exercise as a means of weight control, yielded optimal validity coefficients (sensitivity = 0.83, specificity = 0.96, positive predictive value = 0.56). A stepwise discriminant function analysis yielded eight EDE-Q items which best distinguished cases from non-cases, including frequency of OBEs, use of exercise as a means of weight control, use of self-induced vomiting, use of laxatives and guilt about eating. The EDE-Q has good concurrent validity and acceptable criterion validity. The measure appears well-suited to use in prospective epidemiological studies.     

Social antecedents of children's eyewtness testimony a single-subject experimental analysis

In a laboratory simulation, a single-subject design was used to examine the effects of two types of social influence on children's eyewitness testimony, which has not been the subject of systematic behavioral analyses. This study replicates and extends findings from group-comparison studies, and shows that a topic of pressing social importance is amenable to analysis at the individual level, and therefore, potentially, to a behavioral analysis.     

Nonparametric IRT: Testing the bi-isotonicity of isotonic probabilistic models (ISOP)

Nonparametric tests for testing the validity of polytomous ISOP-models (unidimensional ordinal probabilistic polytomous IRT-models) are presented. Since the ISOP-model is a very general nonparametric unidimensional rating scale model the test statistics apply to a great multitude of latent trait models. A test for the comonotonicity of item sets of two or more items is suggested. Procedures for testing the comonotonicity of two item sets and for item selection are developed. The tests are based on Goodman-Kruskal's gamma index of ordinal association and are generalizations thereof. It is an essential advantage of polytomous ISOP-models within probabilistic IRT-models that the tests of validity of the model can be performed before and without the model being fitted to the data. The new test statistics have the further advantage that no prior order of items or subjects needs to be known.     

Sex Biases in Subject Selection: A Survey of Articles Published in American Medical Journals

This study discusses the results of a survey of 1,800 articles published in American medical journals from 1985--1996. The study finds 9% of these articles reported research that uses only male subjects to examine medical conditions that affect both sexes; the ratio of research on female to male conditions among these articles was greater than 5:1; but 76.5% of the articles reported research that includes both male and female subjects. The study also discusses evidence that sex biases against women (and men) are decreasing. This study also offers some possible psychological, institutional, medical, and economic explanations of the sex biases in medical research published in American journals, and discusses some policy implications of sex biases in medical research. The study concludes by urging others to conduct more empirical research on sex biases in medical research.     

任务数量与工作记忆容量对交错学习的影响

研究以分子结构式为材料,让被试在单任务或双任务条件下以集中呈现和交错呈现的方式进行学习,并通过操作广度、旋转广度和对称广度任务测量工作记忆容量（working memory capacity, WMC）,探究在基于规则类别学习中交错呈现优势的稳定性。结果显示,交错呈现优势仅体现在文科生中;而对于理科生,集中呈现效果较佳。另外,任务数量和WMC均不影响交错呈现优势,表明交错呈现优势稳定存在于单任务和双任务条件中,且不同WMC的个体均能从交错学习获益。     

Criterion Validity is Maintained When Items are Evaluatively Neutralized: Evidence from a Full‐scale Five‐factor Model Inventory

The original version and an evaluatively neutralized version (with items rephrased to reduce popularity) of a personality inventory were compared. The results revealed (i) similar criterion validity across three different sets of self‐rated behaviours, (ii) stronger relations to the rated social desirability of criteria for the original version and (iii) less correlation between factors for the neutralized version. We take the results to indicate that evaluative neutralization is a viable technique for reducing social desirability in self‐ratings. Implications for test construction are discussed. Copyright © 2014 European Association of Personality Psychology     

医院重点专科发展过程阶段论

讨论医院重点专科发展过程的阶段划分及特征,对于我们在重点专科建设中正确地把握方向、恰当地评估成效和有力地予以推进都有十分重大和现实的意义。本文把医院重点专科发展过程分为科室建设、学科建设、科学建设阶段,并从功能目标、效率效益、人才队伍、场地设施、技术设备、技术特色、教学培训、科学研究、文化氛围、能级水平十个方面对各阶段的特征进行归纳描述。三个阶段各具不同内涵特征,又存在相互内在关联,具有方向性、连续性、可加速性、交叉性和包涵性等规律。     

On the logical structure of de Finetti's notion of event

This paper sheds new light on the subtle relation between probability and logic by (i) providing a logical development of Bruno de Finetti's conception of events and (ii) suggesting that the subjective nature of de Finetti's interpretation of probability emerges in a clearer form against such a logical background. By making explicit the epistemic structure which underlies what we call Choice-based probability we show that whilst all rational degrees of belief must be probabilities, the converse doesn't hold: some probability values don't represent decision-relevant quantifications of uncertainty.     

Polytomous multilevel testlet models for testlet‐based assessments with complex sampling designs

A pplications of standard item response theory models assume local independence of items and persons. This paper presents polytomous multilevel testlet models for dual dependence due to item and person clustering in testlet‐based assessments with clustered samples. Simulation and survey data were analysed with a multilevel partial credit testlet model. This model was compared with three alternative models – a testlet partial credit model (PCM), multilevel PCM, and PCM – in terms of model parameter estimation. The results indicated that the deviance information criterion was the fit index that always correctly identified the true multilevel testlet model based on the quantified evidence in model selection, while the Akaike and Bayesian information criteria could not identify the true model. In general, the estimation model and the magnitude of item and person clustering impacted the estimation accuracy of ability parameters, while only the estimation model and the magnitude of item clustering affected the item parameter estimation accuracy. Furthermore, ignoring item clustering effects produced higher total errors in item parameter estimates but did not have much impact on the accuracy of ability parameter estimates, while ignoring person clustering effects yielded higher total errors in ability parameter estimates but did not have much effect on the accuracy of item parameter estimates. When both clustering effects were ignored in the PCM, item and ability parameter estimation accuracy was reduced.