多维效标测量的构成

通过为某机床企业销售员制定一套自我绩效评定迫选量表,收集判断性效标测量和非判断性效标测量,研究判断性效标测量和非判断性效标测量与自我绩效评定迫选量表中各工作行为的关系,验证了两个假设：(1)任一效标测量不可能与所有有效工作行为显著相关;(2)在效标测量中,既应采用判断性效标测量,也应采用非判断性效标测量,二者互相补充,不可替代。     

A quantitative review of the relationship between person-organization fit and behavioral outcomes

This paper extends the meta-analysis of Verquer, Beehr, and Wagner by providing a meta-analytic review of the relationship between person-organization fit (PO fit) and behavioral criteria (job performance, organizational citizenship behaviors, and turnover). Results indicate that PO fit is weakly to moderately related to each of these outcome variables. Results further show that the way in which fit is measured is an important moderator of fit-outcome relationships; however, definition of fit did not moderate the relationship between fit and behavioral criterion. Implications of these findings and avenues for future research are discussed.     

Robustness of Parameter Estimation to Assumptions of Normality in the Multidimensional Graded Response Model

A central assumption that is implicit in estimating item parameters in item response theory (IRT) models is the normality of the latent trait distribution, whereas a similar assumption made in categorical confirmatory factor analysis (CCFA) models is the multivariate normality of the latent response variables. Violation of the normality assumption can lead to biased parameter estimates. Although previous studies have focused primarily on unidimensional IRT models, this study extended the literature by considering a multidimensional IRT model for polytomous responses, namely the multidimensional graded response model. Moreover, this study is one of few studies that specifically compared the performance of full-information maximum likelihood (FIML) estimation versus robust weighted least squares (WLS) estimation when the normality assumption is violated. The research also manipulated the number of nonnormal latent trait dimensions. Results showed that FIML consistently outperformed WLS when there were one or multiple skewed latent trait distributions. More interestingly, the bias of the discrimination parameters was non-ignorable only when the corresponding factor was skewed. Having other skewed factors did not further exacerbate the bias, whereas biases of boundary parameters increased as more nonnormal factors were added. The item parameter standard errors recovered well with both estimation algorithms regardless of the number of nonnormal dimensions.     

项目反应时间的对数偏正态模型

近年来,项目反应时间数据的建模是心理和教育测量领域的热门方向之一。针对反应时间的对数正态模型和Box-Cox正态模型的不足,本文在van der Linden的分层模型框架下基于偏正态分布建立一个反应时间的对数线性模型,并成功给出模型参数估计的马尔科夫链蒙特卡罗（Markov Chain Monte Carlo, MCMC）算法。模拟研究和实例分析的结果均表明,与对数正态模型和Box-Cox正态模型相比,对数偏正态模型表现出更加优良的拟合效果,具有更强的灵活性和适用性。     

Good Moral Judgment and Decision‐Making Without Deliberation

It is widely accepted in psychology and cognitive science that there are two “systems” in the mind: one system (System 1) is characterized as quick, intuitive, perceptive, and perhaps more primitive, while the other (System 2) is described as slower, more deliberative, and responsible for our higher‐order cognition. I use the term “reflectivism” to capture the view that conscious reflection—in the “System 2” sense—is a necessary feature of good moral judgment and decision‐making. This is not to suggest that System 2 must operate alone in forming our moral decisions, but that it plays a normatively ineliminable role. In this paper, I discuss arguments that have been offered in defense of reflectivism. These arguments fit into two broad categories; let us think of them as two sides of a coin. On the first side are arguments about the efficaciousness of conscious reasoning—for example, without conscious deliberation we will make bad moral judgments and decisions. On the other side of the coin are arguments about the centrality of conscious deliberation to normative actions—for example, without conscious deliberation we are no more agential than animals or automatons. Despite their attractiveness, I argue that these arguments do not successfully establish that reflection is a necessary component of good moral judgment and decision‐making. If I am right, the idea that good moral judgment and decision‐making can result from entirely automatic and subconscious processes gains traction. My goal in this paper is to show that reflectivism fails to include the full range of cases of moral decision‐making and that a theory of automaticity may do a better job. I briefly discuss at the end of the paper how an account of successful automatic moral judgment and decision‐making might begin to take shape.     

The Performance of Methods to Test Upper-Level Mediation in the Presence of Nonnormal Data

A Monte Carlo study compared the statistical performance of standard and robust multilevel mediation analysis methods to test indirect effects for a cluster randomized experimental design under various departures from normality. The performance of these methods was examined for an upper-level mediation process, where the indirect effect is a fixed effect and a group-implemented treatment is hypothesized to impact a person-level outcome via a person-level mediator. Two methods—the bias-corrected parametric percentile bootstrap and the empirical-M test—had the best overall performance. Methods designed for nonnormal score distributions exhibited elevated Type I error rates and poorer confidence interval coverage under some conditions. Although preliminary, the findings suggest that new mediation analysis methods may provide for robust tests of indirect effects.     

Military Enlistment Selection and Classification: Moving Forward

This article places the articles included in this special issue within the larger context of the objectives of a selection and classification system. It examines the full range of individual differences and how, until relatively recently, a focus on training success has led to an emphasis on the cognitive subset of these differences within the military. It describes how, consistent with a greater recognition of the importance of job performance, the research described in this issue has opened the door to expanded coverage of both cognitive and noncognitive attributes. It summarizes the methodological advances that have contributed to the efficacy of new noncognitive measures. It explores how popular approaches to the measurement of classification efficiency have led to unwarranted pessimism regarding the classification potential of multiattribute measures and discusses research indicating how much greater classification efficiency is possible with existing measures. Finally, it examines potentially fruitful areas of future research to better meet military objectives. These include development of an approach to performance measurement and validity transportation that makes future military classification research feasible; exploration of currently untapped individual-difference domains, particularly those that might differentially predict across job groupings; exploration of the interaction between cognitive and noncognitive attributes; and exploration of alternative measurement techniques.     

CONSEQUENCES OF INDIVIDUALS' FIT AT WORK: A META-ANALYSIS OF PERSON–JOB, PERSON–ORGANIZATION, PERSON–GROUP, AND PERSON–SUPERVISOR FIT

This meta-analysis investigated the relationships between person–job (PJ), person–organization (PO), person–group, and person–supervisor fit with preentry (applicant attraction, job acceptance, intent to hire, job offer) and postentry individual-level criteria (attitudes, performance, withdrawal behaviors, strain, tenure). A search of published articles, conference presentations, dissertations, and working papers yielded 172 usable studies with 836 effect sizes. Nearly all of the credibility intervals did not include 0, indicating the broad generalizability of the relationships across situations. Various ways in which fit was conceptualized and measured, as well as issues of study design, were examined as moderators to these relationships in studies of PJ and PO fit. Interrelationships between the various types of fit are also meta-analyzed. 25 studies using polynomial regression as an analytic technique are reviewed separately, because of their unique approach to assessing fit. Broad themes emerging from the results are discussed to generate the implications for future research on fit.     

THE BEST AND THE REST: REVISITING THE NORM OF NORMALITY OF INDIVIDUAL PERFORMANCE

We revisit a long‐held assumption in human resource management, organizational behavior, and industrial and organizational psychology that individual performance follows a Gaussian (normal) distribution. We conducted 5 studies involving 198 samples including 633,263 researchers, entertainers, politicians, and amateur and professional athletes. Results are remarkably consistent across industries, types of jobs, types of performance measures, and time frames and indicate that individual performance is not normally distributed—instead, it follows a Paretian (power law) distribution. Assuming normality of individual performance can lead to misspecified theories and misleading practices. Thus, our results have implications for all theories and applications that directly or indirectly address the performance of individual workers including performance measurement and management, utility analysis in preemployment testing and training and development, personnel selection, leadership, and the prediction of performance, among others.     

A closer look at the effect of preliminary goodness-of-fit testing for normality for the one-sample t-test

Student's one-sample t-test is a commonly used method when inference about the population mean is made. As advocated in textbooks and articles, the assumption of normality is often checked by a preliminary goodness-of-fit (GOF) test. In a paper recently published by Schucany and Ng it was shown that, for the uniform distribution, screening of samples by a pretest for normality leads to a more conservative conditional Type I error rate than application of the one-sample t-test without preliminary GOF test. In contrast, for the exponential distribution, the conditional level is even more elevated than the Type I error rate of the t-test without pretest. We examine the reasons behind these characteristics. In a simulation study, samples drawn from the exponential, lognormal, uniform, Student's t-distribution with 2 degrees of freedom (t(2) ) and the standard normal distribution that had passed normality screening, as well as the ingredients of the test statistics calculated from these samples, are investigated. For non-normal distributions, we found that preliminary testing for normality may change the distribution of means and standard deviations of the selected samples as well as the correlation between them (if the underlying distribution is non-symmetric), thus leading to altered distributions of the resulting test statistics. It is shown that for skewed distributions the excess in Type I error rate may be even more pronounced when testing one-sided hypotheses.     

Work engagement: Further reflections on the state of play

In this article we further reflect on the “state of play” of work engagement. We consider, clarify, and respond to issues and themes raised by eight preeminent work engagement researchers who were invited to respond to our position article. The key themes we reflect upon include: (1) theory and measurement of engagement; (2) state and task engagement; (3) climate for engagement versus collective engagement; (4) the dark side of engagement; (5) where job crafting may go wrong; and (6) moderators of the engagement–performance relationship. We conclude that engagement can sensibly be conceptualized as a positive and high arousal affective state characterized by energy and involvement; that there may be additional dimensions that might usefully be included; that we need to more fully understand the day-to-day and moment-to-moment temporal dynamics and implications of engagement; that a “climate for engagement” will influence individual and organizational outcomes; that although engagement is at heart a positive construct, the “dark side” of engagement needs to be acknowledged and understood; that “job crafting” provides a potentially powerful way for employees to manage their engagement; and that we need to gain a better understanding of the moderators that influence the way that engagement is related to performance. We also outline some practical implications that follow from our conclusions.     

情绪劳动策略与工作满意度关系的元分析

采用元分析方法探讨情绪劳动策略(包括表层扮演和深层扮演)与工作满意度的关系。经筛选, 共有120篇文献226个独立样本符合元分析标准(N = 79659)。元分析结果发现, 表层扮演与工作满意度有显著负相关, 深层扮演与工作满意度有显著正相关。调节效应检验发现, 不同表层扮演测量工具、文化背景差异、行业类型差异对表层扮演与工作满意度的关系没有显著影响; 不同工作满意度测量工具对表层扮演与工作满意度的关系有显著影响, 表现为单维的JSS工作满意度量表的调节效果高于多维的MSQ量表。不同深层扮演测量工具、不同工作满意度测量工具、文化背景差异对深层扮演与工作满意度的关系有显著影响, 分别表现为深层扮演量表Grandey (2003)、Diefendorff, Croyle和Gosserand (2005)、Brotheridge和Lee (2003)调节效应依次减小, 单维的JSS工作满意度量表的调节效果低于多维的MSQ量表, 东方文化背景的调节效果高于西方; 行业类型的差异对深层扮演与工作满意度关系的影响不显著。     

Reconsidering vocational interests for personnel selection: the validity of an interest-based selection test in relation to job knowledge, job performance, and continuance intentions

Although vocational interests have a long history in vocational psychology, they have received extremely limited attention within the recent personnel selection literature. We reconsider some widely held beliefs concerning the (low) validity of interests for predicting criteria important to selection researchers, and we review theory and empirical evidence that challenge such beliefs. We then describe the development and validation of an interests-based selection measure. Results of a large validation study (N = 418) reveal that interests predicted a diverse set of criteria—including measures of job knowledge, job performance, and continuance intentions—with corrected, cross-validated Rs that ranged from .25 to .46 across the criteria (mean R = .31). Interests also provided incremental validity beyond measures of general cognitive aptitude and facets of the Big Five personality dimensions in relation to each criterion. Furthermore, with a couple exceptions, the interest scales were associated with small to medium subgroup differences, which in most cases favored women and racial minorities. Taken as a whole, these results appear to call into question the prevailing thought that vocational interests have limited usefulness for selection.     

Explaining the Weak Relationship Between Job Performance and Ratings of Job Performance

Ratings of job performance are widely viewed as poor measures of job performance. Three models of the performance–performance rating relationship offer very different explanations and solutions for this seemingly weak relationship. One-factor models suggest that measurement error is the main difference between performance and performance ratings and they offer a simple solution—that is, the correction for attenuation. Multifactor models suggest that the effects of job performance on performance ratings are often masked by a range of systematic nonperformance factors that also influence these ratings. These models suggest isolating and dampening the effects of these nonperformance factors. Mediated models suggest that intentional distortions are a key reason that ratings often fail to reflect ratee performance. These models suggest that raters must be given both the tools and the incentive to perform well as measurement instruments and that systematic efforts to remove the negative consequences of giving honest performance ratings are needed if we hope to use performance ratings as serious measures of job performance.     

Job Complexity,Performance, and Well‐being: When Does Supplies‐Values Fit Matter?*

We extend person–job fit research by investigating job performance as a moderator of the supplies–values fit relationship with strain outcomes (somatic complaints and depression). Drawing on cybernetic stress and psychological centrality perspectives, we argue that supplies–values misfit relates to lower well‐being levels when job performance is low but that this effect is attenuated when job performance is high. The results are consistent with this prediction across 3 studies that provide progressively more rigorous tests of the hypothesis. Implications of the results for theoretical and empirical person–job fit research are addressed.     

Generalizability of Job Performance Measurements: Marine Corps Rifleman

The purpose of this research was to identify personality constructs to be assessed in the selection of officers in the Turkish Armed Forces by using a personality-oriented job analysis approach. Personality-oriented job analytic interviews were conducted with currently employed and former officers (N = 78). Content analysis of the interviews led to the identification of a list of attributes presumed to be relevant. The attributes were then rated by a group of officers (N = 447) for relevance and importance. Principal component analysis of the weighted ratings (i.e., Relevance × Importance) resulted in 5 personality dimensions considered to be relevant to the job of military officer: Conscientiousness–Self-Discipline, Military Factor, Self-Confidence, Agreeableness–Extraversion, and Leadership. Finally, using a confirmatory approach, we tested the 5-factor structure against 1-factor and 2-factor solutions. Results suggest that the 5-factor solution has significantly better fit than the alternative models, providing some initial evidence for construct validity.     

Fit Happens Globally: A Meta‐Analytic Comparison of the Relationships of Person–Environment Fit Dimensions with Work Attitudes and Performance Across East Asia,Europe, and North America

In this cross‐cultural meta‐analysis, we examine the relationships between person–environment [P–E] fit and work attitudes (organizational commitment, job satisfaction, and intent to quit) as well as job performance based on 96 studies (110 independent samples) conducted in East Asia, Europe, and North America. We compare the results across cultures while focusing on 4 dimensions of P–E fit (person‐job fit, person–organization fit, person–group fit, and person–supervisor fit) separately and jointly. Findings suggest that the effects of rational fit (person–organization and person–job fit) are (relatively) stronger in North America and, to a lesser extent, Europe than in East Asia. However, the effects of relational fit (person–group and person–supervisor fit) are (relatively) stronger in East Asia than in North America. This highlights that in collectivistic and high power distance (vs. individualistic and low power distance) cultures, relational (vs. rational) fit is more salient in influencing employees’ perceptions about their work environments. Results are less clear concerning job performance. What is common across cultures is that, regardless of which dimension of P–E fit is being considered, fit happens and high levels of fit lead to positive outcomes, confirming the universal relevance of fit phenomenon.     

领导干部的人格特点与工作绩效的关系：QZPS与NEO PI-R的比较

研究旨在探讨基层党政领导干部的人格特点与工作绩效之间的关系。中国人人格量表（QZPS）测量的人格的七个维度及其18个次级因素均与工作绩效的维度存在不同程度的相关,其中处世态度、人际关系和外向性与任务绩效绩效相关最高,处世态度、情绪性和行事风格与个人品质绩效绩效相关最高,而情绪性与他人评定绩效相关最高。人格因素可以解释自我评定绩效31. 7% ~ 49. 9%的变异,可以解释他人评定绩效6. 3% ~ 12. 8%的变异。而采用NEO PI-R测量人格时,所解释的工作绩效的变异只有QZPS的1/3左右。文中还讨论了工作绩效和人格结构的文化意义以及本土化研究的重要性     

Social cognitive predictors of college students’ academic performance and persistence: A meta-analytic path analysis

This study tested Social Cognitive Career Theory’s (SCCT) academic performance model using a two-stage approach that combined meta-analytic and structural equation modeling methodologies. Unbiased correlations obtained from a previously published meta-analysis [Robbins, S. B., Lauver, K., Le, H., Davis, D., & Langley, R. (2004). Do psychosocial and study skill factors predict college outcomes? A meta-analysis. Psychological Bulletin, 130, 261–288.] were used to create the input correlation matrices for subsequent path-analytic tests of the model, using both college GPA and retention as performance criteria. Results suggested that SCCT does an adequate to excellent job of modeling academic performance and persistence, but that model fit was better when general cognitive ability versus high school GPA was used to operationalize the ability/past performance variable. Results are discussed in terms of their fit with SCCT and their practical implications.