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。     

冲动性消费行为内在机制研究述评 ———提升调节点在冲动性消费行为中所起作用

有关冲动性消费行为研究的文献众多,但难以从内在联系上进行统一。最近,利用提升调节点对冲动性消费行为内在机制的揭示是该领域的一个突破,从而有望把一些相关文献统一起来。作者介绍了冲动性消费行为内在过程;综述了用于冲动性消费行为内在机制研究的相关理论;从内在机制这个角度对有关冲动性消费行为文献进行评述。文章的最后提出了冲动性消费行为内在机制的进一步研究方向：利用调节点等相关理论,特别是调节适应理论对冲动性消费行为内在机制做进一步探讨     

基于基尼指数的双目标CD-CAT选题策略

双目标CD-CAT的测验结果既可用于形成性评估也可用于终结性评估。基尼指数可度量随机变量的不确定性程度,值越小则随机变量的不确定程度越低。本文用基尼指数度量被试知识状态类别以及能力估计置信区间后验概率的变化,提出基于基尼指数的选题策略。MonteCarlo实验表明与已有的选题策略相比,新策略的知识状态分类精度和能力估计精度都较高,同时能有效兼顾题库利用均匀性,并能快速实时响应,且受认知诊断模型和被试知识状态分布的影响较小,可用于实际测验中含多种认知诊断模型的混合题库。     

Modification indices for the 2-PL and the nominal response model

In this paper, it is shown that various violations of the 2-PL model and the nominal response model can be evaluated using the Lagrange multiplier test or the equivalent efficient score test. The tests presented here focus on violation of local stochastic independence and insufficient capture of the form of the item characteristic curves. Primarily, the tests are item-oriented diagnostic tools, but taken together, they also serve the purpose of evaluation of global model fit. A useful feature of Lagrange multiplier statistics is that they are evaluated using maximum likelihood estimates of the null-model only, that is, the parameters of alternative models need not be estimated. As numerical examples, an application to real data and some power studies are presented.     

A note to Bollen's alternative fit measure

The problem of dependence of the nonnormed fit index on sample size in covariance structure analysis is discussed. Contrary to Bollen (1986) we show that the mean of the nonnormed fit index is independent of sample size for true and almost true models whereas Bollen's alternative index does depend on sample size.     

Accuracy of parents' reports of height and weight

The accuracy of parents' reports of their own height and weight and the height and weight of their obese children, who were about to enter a weight control program, was assessed. Measured height and weights of 146 mothers, 55 fathers, and 150 children who attended a screening session were compared to the heights and weights they had previously reported on a demographic questionnaire. Eighty-four percent of the reported weights were accurate within ±5 lbs.; 71% of the reported heights were accurate within ±1 in. Parents' reports of weight tended to underestimate actual weights, with the magnitude of underestimation greater for mothers than for fathers, while reported heights overestimated actual height, with the magnitude of overestimation greatest for fathers. Errors in the parents' reports of children's weight were related to the child's actual weight and body mass index (BMI), with substantial underestimation of actual weight in the heaviest decile of children in the sample.Preparation of this paper was supported in part by Grant HDMH12520-01 from the National Institute of Child Health and Human Development and Mental Health. Reprints can be obtained from Rena R. Wing, Western Psychiatric Institute and Clinic, 3811 O'Hara Street, Pittsburgh, PA 15261.     

Likelihood methods for testing group problem solving models with censored data

Problem solving models relating individual and group solution times under time limit censoring are presented. Maximum likelihood estimates of parameters of the resulting censored distributions are derived and goodness of fit tests for the individual-group models are constructed. The methods are illustrated on data previously analyzed by Restle and Davis.This research was supported by grants from the Graduate School, University of Minnesota. Also, work of the second author was aided by a Single Quarter Leave granted by the Regents of the University of Minnesota.     

Selecting the number of classes under latent class regression: a factor analytic analogue

Recently, the regression extension of latent class analysis (RLCA) model has received much attention in the field of medical research. The basic RLCA model summarizes shared features of measured multiple indicators as an underlying categorical variable and incorporates the covariate information in modeling both latent class membership and multiple indicators themselves. To reduce complexity and enhance interpretability, one usually fixes the number of classes in a given RLCA. Often, goodness of fit methods comparing various estimated models are used as a criterion to select the number of classes. In this paper, we propose a new method that is based on an analogous method used in factor analysis and does not require repeated fitting. Two ideas with application to many settings other than ours are synthesized in deriving the method: a connection between latent class models and factor analysis, and techniques of covariate marginalization and elimination. A Monte Carlo simulation study is presented to evaluate the behavior of the selection procedure and compare to alternative approaches. Data from a study of how measured visual impairments affect older persons’ functioning are used for illustration.This work was supported by National Institute on Aging (NIA) Program Project P01-AG-10184-03. The author wishes to thank Dr. Karen Bandeen-Roche for her stimulating comments and helpful discussions, and Drs. Gary Rubin and Sheila West for kindly making the Salisbury Eye Evaluation data available.     

Exact tests for the rasch model via sequential importance sampling

Rasch proposed an exact conditional inference approach to testing his model but never implemented it because it involves the calculation of a complicated probability. This paper furthers Rasch’s approach by (1) providing an efficient Monte Carlo methodology for accurately approximating the required probability and (2) illustrating the usefulness of Rasch’s approach for several important testing problems through simulation studies. Our Monte Carlo methodology is shown to compare favorably to other Monte Carlo methods proposed for this problem in two respects: it is considerably faster and it provides more reliable estimates of the Monte Carlo standard error.This Research was supported in part by National Science Foundation grant DMS-0203762 and a University of Pennsylvania Research Foundation grant.The authors are grateful to Don Burdick for helpful comments. In addition, the authors wish to thank the editor, the associate editor, and the referees for their helpful suggestions.This revised article was published online in August 2005 with the PDF paginated correctly.     

“工作价值观-职务特征”匹配对工作倦怠的影响研究

工作倦怠是近年来工业和组织心理学及职业健康领域的一个研究热点,本研究的目的是着重检验"工作价值观-职务特征"匹配对工作倦怠的影响.根据2家企业118份调查问卷的结果对工作倦怠量表和"工作价值观-职务特征"问卷做了修订.然后在8家非服务性企业进行了调查,316份有效问卷的调查进一步验证了工作倦怠量表具有良好的构想效度和信度;人口统计学变量性别、年龄在工作倦怠上有显著差异;通过相关分析结果表明,"工作价值观-职务特征"匹配各维度与工作倦怠各维度显著相关;进一步的逐步回归分析表明,任务特征在任务依存性和任务自主性的两个维度的匹配对情绪衰竭有负向预测作用,任务自主性匹配还对工作怠慢维度有负向预测作用.