Classical test theory based and factor analytic structural models for analyzing change: A note on differences and similarities

This note is concerned with differences and similarities between structural models for analyzing change, which are conceptualized within two different modelling traditions: the one based on the classical test theory, and that within the factor-analytic approach. It is shown that these two possibilities lead to models for studying change, which are indistinguishable when using for data analytic purposes structural modeling programs, such as LISREL, EQS, COSAN, LISCOMP, RAMONA, EzPATH, SAS PROC CALIS. The reason for this data-analytic equivalence of the two conceptually different types of models is the confounding of their differences in the corresponding implied covariance matrix structures.     

Constructing measures with maximum reliability

The scoring of response vectors to give maximum test-retest correlation is investigated. Simple sufficiency arguments show that the form of the best scores is very restricted. A general method is given for finding the best scores, deriving the best scores for the normal factor model, and showing by calculation of several particular cases that for a standard model for binary response it is easy to approximate the best scores.     

记忆训练的中德跨文化研究

这项工作旨在比较中德不同历史、文化背景条件下,记忆成绩的年龄差异和跨文化差异,认知训练对改善两国被试的记忆的作用,训练迁移作业中的年龄差异和跨文化差异。中德被试各70例,分为三个年龄组,分别在北京和柏林进行“位置法”记忆训练。结果表明:中、德老年被试在训练前、后,记忆成绩均明显低于青少年,证实了认知功能及其储备能量均有减退。训练前,中、德被试各项成绩均无显著性差异;训练后,中国被试各项成绩的提高均比德国被试明显,训练揭示了跨文化差异。     

The beck anxiety inventory: Psychometric properties in a community population

This study presents data on the norms and psychometric properties of the Beck Anxiety Inventory (BAI), using a sample of 225 community adult volunteers. Maximum-likelihood confirmatory factor analyses of previously published models of the BAI: a two-factor model and a five-factor model, showed that the fit of each model was unacceptable. Also, the fit of the single-factor model was poor. Exploratory principal-components analyses with varimax and oblique rotations suggested four BAI components within this sample. Satisfactory levels of reliability were established for the BAI subscales. Finally, the relations between the BAI total and subscale scores and a related measure of anxiety and with another self-report measure of psychological distress were examined.This paper was presented at the 27th Annual Convention of the Association for Advancement of Behavior Therapy, Atlanta, Georgia, November 1993.     

The psychopathology of anorexia nervosa: A factor analytic investigation

To examine the psychopathology of anorexia nervosa, behavioral assessment measures sampling a wide range of relevant constructs were collected on 150 women diagnosed as having anorexia nervosa. The data were subjected to an exploratory factor analysis using maximum-likelihood estimation and oblique rotation. Five factors were extracted, which were titled Fasting and Restrictive Eating, Depression, Anxiety, and Negative Self-image, Bulimic Behaviors, Fear of Fatness/Body Image Disturbance, and Impulsive Behavior/Post-Traumatic Response. Discriminate function analysis suggested that, other than the bulimic behaviors factor, the Impulsive Behavior/Post-Traumatic Response factor best discriminated between bulimic and restrictor subtypes of anorexics. These data suggest that the underlying dimensions of anorexia nervosa are very similar to those of bulimia nervosa. The findings also have implications for the multidimensional assessment and treatment of anorexia nervosa as well as conceptual models of the disorder.     

Exploratory Factor Analysis: A Users’Guide

In 1978, Comrey wrote a guide to factor analysis in the Journal of Consulting and Clinical Psychology. This paper provides an update of the information given by Comrey in relation to exploratory factor analysis (EFA) for work and organizational psychologists, and particularly those involved with test development, interpretation and validation. In doing so, it offers a user's guide to contemporary methods and available techniques and introduces heuristics for dealing with problems of skew and kurtosis, social desirability response set, and factor naming.     

The direct product model for the mtmm matrix parameterized as a second order factor analysis model

The composite direct product model for the multitrait-multimethod matrix is reparameterized as a second-order factor analysis model. This facilitates the use of widely available computer programs such as LISREL and LISCOMP for fitting the model.Bruce Bloxom. Paul Horst and Karl Jöreskog contributed helpful comments to an earlier version of this paper. Their suggestions are gratefully acknowledged.     

The structure of the Hospital Anxiety and Depression Scale: Theoretical and methodological considerations

The Hospital Anxiety and Depression Scale (HADS; Zigmond - Snaith, 1983) is widely used; however, its factor structure is unclear, with studies reporting differing unidimensional, two-factor and three-factor models. We aimed to address some key theoretical and methodological issues contributing to inconsistencies in HADS structures across samples. We reviewed existing HADS models and compared their fit using confirmatory factor analysis (CFA). We also investigated methodological effects by comparing factor structures derived from Rasch and Principal Components Analysis (PCA) methods, as well as effects of a negative wording factor. An Australian community-dwelling sample consisting of 189 females and 158 males aged 17–86 (M = 35.73, SD = 17.41) completed the 14-item HADS. The Rasch Analysis, PCA and CFA all supported the original two-factor structure. Although some three-factor models had good fit, they had unacceptable reliability. In the CFA, a hierarchical bifactor model with a general distress factor and uncorrelated depression and anxiety subscales produced the best fit, but the general factor was not unidimensional. The addition of a negative wording factor improved model fit. These findings highlight the effects of differing methodologies in producing inconsistent HADS factor structures across studies. Further replication of model fit across samples and refinement of the HADS items is warranted.     

Enhancing measurement validity in diverse populations: Modern approaches to evaluating differential item functioning

When developing and evaluating psychometric measures, a key concern is to ensure that they accurately capture individual differences on the intended construct across the entire population of interest. Inaccurate assessments of individual differences can occur when responses to some items reflect not only the intended construct but also construct-irrelevant characteristics, like a person's race or sex. Unaccounted for, this item bias can lead to apparent differences on the scores that do not reflect true differences, invalidating comparisons between people with different backgrounds. Accordingly, empirically identifying which items manifest bias through the evaluation of differential item functioning (DIF) has been a longstanding focus of much psychometric research. The majority of this work has focused on evaluating DIF across two (or a few) groups. Modern conceptualizations of identity, however, emphasize its multi-determined and intersectional nature, with some aspects better represented as dimensional than categorical. Fortunately, many model-based approaches to modelling DIF now exist that allow for simultaneous evaluation of multiple background variables, including both continuous and categorical variables, and potential interactions among background variables. This paper provides a comparative, integrative review of these new approaches to modelling DIF and clarifies both the opportunities and challenges associated with their application in psychometric research.     

影响说谎行为的情境因素——基于自我概念维持理论的视角

情境因素会影响人们的说谎行为。本文基于自我概念维持理论的视角,从个体内部状态（自我控制资源、宗教表征/道德观念启动）和外部因素（金钱奖励、人际因素）两方面介绍情境因素对说谎行为的影响,并指出未来研究应关注自我觉察水平这一情境因素以及情境因素影响说谎行为的心理机制和神经机制。