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.

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Historically, researchers have sought to identify environmental causes of employee turnover. This paradigm has led to the underemphasis of individual differences as being an important cause of individuals' turnover decisions. The results of the meta‐analysis show that personality traits do have an impact on individuals' turnover intentions and behaviors. The trait of Emotional Stability best predicted (negatively) employees' intentions to quit, whereas the traits of Conscientiousness and Agreeableness best predicted (negatively) actual turnover decisions. A theoretically developed path model showed important direct effects from personality to intentions to quit and turnover behaviors that were not captured through job satisfaction or job performance. These direct effects indicate that employees who are low on Emotional Stability may intend to quit for reasons other than dissatisfaction with their jobs or not being able to perform their jobs well. The direct effects on turnover suggest that individuals who are low on Agreeableness or high on Openness may engage in unplanned quitting. Personality traits had stronger relationships with outcomes than did non‐self‐report measures of job complexity/job characteristics.

A review and meta-analysis of studies assessing trainee reactions are presented. Results suggest reactions primarily capture characteristics of the training course, but trainee characteristics (e.g., anxiety and pretraining motivation) and organizational support also have a moderate effect on reactions. Instructional style (rho = .66) followed by human interaction (rho = .56) were the best predictors of reactions. Reactions predicted pre-to-post changes in motivation (beta = .51) and self-efficacy (beta = .24) and were more sensitive than affective and cognitive learning outcomes to trainees' perceptions of characteristics of the training course. Moderator analyses revealed reactions- outcomes correlations tended to be stronger in courses that utilized a high level rather than a low level of technology, and affective and utility reactions did not differ in their relationships with learning outcomes. The current study clarifies the nomological network of reactions and specifies outcomes that are theoretically related to reactions.

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