A note on distributional properties of the Jöreskog-Sörbom fit indices

In introducing the LISREL model for systems of linear structural equations, Jöreskog and Sörbom proposed two goodness-of-fit indices, GFI and AGFI. Their asymptotic distributions and some statistical properties are discussed.The authors would like to acknowledge the helpful comments and suggestions from the Associate Editor and two anonymous reviewers.     

Some improved diagnostics for failure of the Rasch model

Although several goodness of fit tests have been developed for the Rasch model for dichotomous items, most of them are of a global, asymptotic, and confirmatory type. This paper, based on ideas from a recent thesis by Van den Wollenberg, offers some suggestions for local, small sample, and exploratory techniques: difficulty plots for person groups scoring right and wrong on a specific item, a slope test per item based on a binomial distribution per score group, and a unidimensionality check based on an extended hypergeometric distribution per score group. This paper owes much to the inspiring and pioneering work of Arnold Van den Wollenberg, of which only minor aspects are criticized. Thanks go to Charles Lewis for stimulating discussions and for solutions to some programming problems.     

Some additional results on principal components analysis of three-mode data by means of alternating least squares algorithms

Kroonenberg and de Leeuw (1980) have developed an alternating least-squares method TUCKALS-3 as a solution for Tucker's three-way principal components model. The present paper offers some additional features of their method. Starting from a reanalysis of Tucker's problem in terms of a rank-constrained regression problem, it is shown that the fitted sum of squares in TUCKALS-3 can be partitioned according to elements of each mode of the three-way data matrix. An upper bound to the total fitted sum of squares is derived. Finally, a special case of TUCKALS-3 is related to the Carroll/Harshman CANDECOMP/PARAFAC model.     

职业生涯理论述评

本文介绍了职业生涯理论从前职业研究到后职业再到全职业的发展历程。阐述了从人职匹配到环境理论 ,从职业发展阶段论到职业转变理论 ,从社会化与角色理论到人组织匹配的演变过程。指出 :在未来职业生涯研究中 ,整合的职业生涯研究、加强职业发展的中期与后期研究及组织与自我职业生涯管理的互动将是发展重点。     

Misspecification in Latent Change Score Models: Consequences for Parameter Estimation,Model Evaluation,and Predicting Change

Latent change score models (LCS) are conceptually powerful tools for analyzing longitudinal data (McArdle & Hamagami, 2001). However, applications of these models typically include constraints on key parameters over time. Although practically useful, strict invariance over time in these parameters is unlikely in real data. This study investigates the robustness of LCS when invariance over time is incorrectly imposed on key change-related parameters. Monte Carlo simulation methods were used to explore the impact of misspecification on parameter estimation, predicted trajectories of change, and model fit in the dual change score model, the foundational LCS. When constraints were incorrectly applied, several parameters, most notably the slope (i.e., constant change) factor mean and autoproportion coefficient, were severely and consistently biased, as were regression paths to the slope factor when external predictors of change were included. Standard fit indices indicated that the misspecified models fit well, partly because mean level trajectories over time were accurately captured. Loosening constraint improved the accuracy of parameter estimates, but estimates were more unstable, and models frequently failed to converge. Results suggest that potentially common sources of misspecification in LCS can produce distorted impressions of developmental processes, and that identifying and rectifying the situation is a challenge.     

Effects of gender similarity on relationships between person–group value fit and work attitudes

The present study assessed the effect of gender similarity as a potential moderator of the relationships between person–group (P–G) value fit and work attitudes. Specifically, we predicted that the effect of P–G value fit (in terms of social integration values) on individual attitudes would be stronger for individuals who had a similar gender than those of a different gender. Based on data obtained from 197 employees in South Korea, we found that when the focal individual had high gender similarity with his or her group, the relationships between P–G value fit and job satisfaction and between P–G value fit and turnover intentions were more prominent. Furthermore, these moderating effects were significant for men, but not for women.     

儿童对他人情绪与过去经验的关系的认知

用设置故事情景的方法对儿童对他人情绪与过去经验的关系的认知进行了实验研究。研究表明,4～7岁儿童能够认知他人情绪与过去经验的关系,认知能力随年龄的增长不断提高。情绪效价和情绪情景的匹配性影响儿童对他人情绪与过去经验关系的认知。4、5岁儿童更能认识到正性情绪情景条件下体验到负性情绪的他人情绪与过去经验的关系,其得分显著高于其它情绪情景故事和行为故事。     

人-组织匹配研究的新进展

本文概述了国外关于人-组织匹配研究的最新发展。人-组织匹配简称P-O匹配,它强调组织成员的个人特征与组织特征之问的相容性。P-O匹配不仅使组织能更好地吸引、选拔和留住高素质人才。而且也有利于提高员工工作绩效和满意感。     

检验的临界值：真伪差距多大才能辨别？ ——评《不同条件下拟合指数的表现及临界值的选择》

Hu和Bentler（1998,1999）通过模拟研究推荐结构方程模型拟合指数临界值后,受到不少批评和质疑。此后有关拟合指数的研究重点不再是推出新的临界值标准。郭庆科等人的文章《不同条件下拟合指数的表现及临界值的选择》,仿照Hu和Bentler的做法,通过模拟研究推荐新的拟合指数临界值标准。本文旨在揭示这种做法的错误所在。用简单的Z检验,说明检验的临界值是不能通过模拟研究确定的。通过将一个特定真模型的众多错误模型分类,说明结构方程分析中真模型与错误模型差距的多样性,无法通过模拟一对真伪模型来代表。讨论了统计检验的本质和确定临界值的逻辑,还谈到应当从哪些角度检验和评价结构方程模型