Subjective person-organization fit: Bridging the gap between conceptualization and measurement

In this paper, we present a critical examination of the literature on subjective person-organization (P-O) fit and highlight several conceptual and measurement issues that may be perpetuating confusion in this literature. Specifically, we reviewed 46 empirical studies that have measured P-O fit perceptions and identified three primary sources of inconsistency among these studies, including (a) how P-O fit is conceptualized, (b) the operational definition of ‘organization,’ and (c) the content domain used to assess P-O fit. We discuss several implications of this review, including the potential role that individual differences play in fit perceptions. We also make a case for the development and adoption of uniform, validated measures of P-O fit that incorporate the multidimensional nature of fit.     

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。     

A Person-Centered Approach to P-E Fit Questions Using a Multiple-Trait Model

The current study first longitudinally examines the validity of person-environment (P-E) RIASEC congruence, adopting a job analytic method to assess the environment and using P-E difference scores to compute congruence, to predict a range of intrinsic career outcomes—including job satisfaction, skill development, work involvement, and perceived stress—in a sample of 401 college seniors involved in the labor market. Second, the incremental validity of an alternative conceptualization of the P component (i.e., the Five-Factor Model of personality [FFM]) is examined over and beyond RIASEC congruence scores. Congruence across RIASEC types significantly predicted job satisfaction and skill development, but FFM traits significantly and substantially contributed to the prediction of all intrinsic career outcomes. Finally, a person-centered perspective to P-E questions is introduced, demonstrating that cluster analysis of individuals' FFM scores resulted in two clusters (i.e., internalizers/externalizers and resilients) showing very different positions on the labor market and reporting differing initial career outcomes. It is concluded that RIASEC P-E fit congruence studies should be complemented with FFM assessment to increase predictive validity. Applications of an FFM-based, person-centered approach in I/O and P-E fit research and practice are discussed.     

匹配对创造性的影响: 集体主义的调节作用

以305名大学生为研究对象, 检验创造性氛围的供给-期望匹配、个人创造性能力的要求-能力匹配与个人创造性的关系, 考察集体主义价值观对这种关系的影响。结果显示供给-期望匹配中实际创造性氛围、要求-能力匹配中的实际创造性能力对个人创造性有显著作用。对于高集体主义价值观的个人, 环境因素(实际创造性氛围和要求创造性能力)对他们创造性影响作用更为显著, 展现出集体主义价值观对创造性的间接积极作用。     

The influence of experiences of discrimination on psychological stress: a comparison of seven immigrant groups

The aim of this study was to compare experiences of discrimination and their influence on trust in authorities and psychological distress among immigrants in Finland. A sample of 1146 immigrants, aged between 20 and 36 and representing seven immigrant groups (Russians, Ingrian/Finnish returnees, Estonians, Somalis, Arabs, Vietnamese and Turks), answered a mailed questionnaire based on traditional acculturation research as well as victim research. In accordance with our expectations, discrimination experiences in various realms of life were highly predictive of the psychological well‐being of all immigrants, as well as of lack of trust in the Finnish authorities. However, contrary to our hypotheses regarding the effects of visibility and cultural proximity, group differences in psychological distress did not correspond to the group differences observed in perceived discrimination. These results are discussed in the light of the opposing predictions concerning self‐damage effects of discrimination, made by social identity theory on the one hand and the theory on self‐protecting functions of external attributions (Crocker and Major, 1989) on the other. It is concluded that the low level of stress observed in the most visible and most culturally distant group, despite high levels of perceived discrimination, is better explained by the latter than the former. Copyright © 2000 John Wiley & Sons, Ltd.     

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.     

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.