META-ANALYSIS OF PERSONALITY-JOB PERFORMANCE RELATIONS: A REPLY TO ONES, MOUNT, BARRICK, AND HUNTER (1994)

Tett, Jackson, and Rothstein's (1991) meta-analysis identified higher average correlations for personality in predicting job proficiency than did Barrick and Mount's (1991). Ones et al. suggest that discrepancies between the two studies involving the Big Five personality dimensions are due to certain procedural differences. In this reply, we show that their arguments do not adequately explain the noted discrepancies. We also show that, because personality traits correlate significantly with job performance both positively and negatively beyond chance levels, use of absolute values, contrary to Ones et al., is important in meta-analyses involving personality. Addressing all of Ones et al.3 statistical concerns, re-analysis of Tett et al.k main data set results in slightly lower mean validities (e.g., .24 vs.29 for fully corrected values based on confirmatory estimates), and renders non-significant the job analysis/no job analysis distinction found to be significant in the original study. Tett et al.'s main conclusions, however, remain unchanged. We suggest that Barrick and Mount's lower mean validities may be due to their averaging signed correlations, pooling exploratory and confirmatory findings, and to the use of different inclusion criteria for selecting source studies.     

PERSONALITY MEASURES AS PREDICTORS OF JOB PERFORMANCE: A META-ANALYTIC REVIEW

The purpose of this study was to investigate conflicting findings in previous research on personality and job performance. Meta-analysis was used to (a) assess the overall validity of personality measures as predictors of job performance, (b) investigate the moderating effects of several study characteristics on personality scale validity, and (c) appraise the predictability of job performance as a function of eight distinct categories of personality content, including the "Big Five" personality factors. Based on review of 494 studies, usable results were identified for 97 independent samples (total N = 13,521). Consistent with predictions, studies using confirmatory research strategies produced a corrected mean personality scale validity (.29) that was more than twice as high as that based on studies adopting exploratory strategies (.12). An even higher mean validity (.38) was obtained based on studies using job analysis explicitly in the selection of personality measures. Validities were also found to be higher in longer tenured samples and in published articles versus dissertations. Corrected mean validities for the "Big Five" factors ranged from .16 for Extroversion to .33 for Agreeableness. Weaknesses in the reporting of validation study characteristics are noted, and recommendations for future research in this area are provided. Contrary to conclusions of certain past reviews, the present findings provide some grounds for optimism concerning the use of personality measures in employee selection.     

GENERALIZING ABOUT MESSAGES: SUGGESTIONS FOR DESIGN AND ANALYSIS OF EXPERIMENTS

Current research practices in communication create problems for both internal and external validity. One serious design flaw, which involves use of a single message to represent a category of messages, occurs in nearly all of the experimental research on communication effects. The problem with such a design is that an observed difference between categories may reflect only differences between individual, idiosyncratic cases. A related error, the “language-as-fixed-effect fallacy,” involves use of several replications of each category, but analysis of the cases as fixed effects. The consequence is that findings cannot be generalized beyond the sample used. Future research should use multiple cases within each message category studied and treat cases as nested random effects. Since the cases cannot be true random samples from message populations, care must be taken to avoid known sources of bias or other barriers to generalization.     

Group Identification and University Involvement1

Campus involvement has been identified as an important predictor of academic persistence and success. We propose a group identification approach to campus involvement and present the results of 3 studies. Study 1 established that group identity was strongly related to campus involvement. Study 2 determined that group identity mediated the relationship between student residency (on‐campus vs. off‐campus) and campus involvement. Study 3 replicated the prior results, but used a longitudinal design to help rule out alternative explanations. We conclude that group identification, particularly the affective component, plays an important role in campus involvement, and offer suggestions for enhancing group identification and for further research.     

疼痛表征在自我和他人间的一致性效应

在以往研究中“pain matrix”被认为是加工自我和他人疼痛信息的特异性神经机制, 也可能是个体对他人疼痛共情的原因。但是最近的研究发现非疼痛的感觉刺激也能激活该脑区, 因此疼痛表征在自我和他人间是否存在一致性受到质疑。研究采用启动范式从两个方面入手探索自身疼痛和疼痛共情间是否存在一致性关系。实验一使用疼痛和非疼痛图片为启动刺激, 疼痛或热刺激为靶刺激, 发现相对于非疼痛图片, 疼痛图片启动下被试对自身疼痛刺激的反应时减少, 疼痛水平和情绪反应增强。实验二使用疼痛和热刺激为启动刺激, 疼痛或非疼痛图片为靶刺激, 发现相对于热刺激, 疼痛刺激启动下被试对疼痛图片的反应时减少。同时, 在两个实验中非疼痛的靶刺激都不受启动刺激的影响。这说明疼痛表征在自我和他人间存在一致性效应。     

疼痛恐惧的形成及其对疼痛知觉的影响

脑岛、杏仁核是疼痛恐惧形成的重要神经网络中心。疼痛恐惧增强了慢性疼痛患者的疼痛知觉体验, 进而加剧抑郁、焦虑情绪和功能损伤程度。脑岛、杏仁核、前额皮层和前扣带回是疼痛恐惧影响疼痛知觉的重要神经基础。通过认知方法干预疼痛恐惧可以改善患者的抑郁、焦虑情绪, 减少功能损伤。未来研究应拓展疼痛恐惧的测量工具, 采用功能磁共振成像技术进一步揭示疼痛恐惧影响慢性疼痛患者疼痛知觉的神经机制。     

JUSTICE IN TEAMS: ANTECEDENTS AND CONSEQUENCES OF PROCEDURAL JUSTICE CLIMATE

This study examined antecedents and consequences of procedural justice climate (Mossholder, Bennett, & Martin, 1998; Naumann & Bennett, 2000) in a sample of manufacturing teams. The results showed that climate level (i.e., the average procedural justice perception within the team) was significantly related to both team performance and team absenteeism. Moreover, the effects of climate level were moderated by climate strength, such that the relationships were more beneficial in stronger climates. In addition, team size and team collectivism were significant antecedents of climate level, and team size and team demographic diversity predicted climate strength.