Using psychometric meta-analysis, the authors present a quantitative and qualitative review (k = 205, total pairwise N = 62,527) of the literature relating trait and state positive affect (PA) and negative affect (NA) to job-related attitudes, including job satisfaction, organizational commitment, turnover intentions, and dimensions of job burnout. Results indicated substantial correlations, ranging in absolute value from -.17 (PA and turnover intentions; NA and personal accomplishment) to.54 (NA and emotional exhaustion). Correlational results largely were consistent across hypothesized and exploratory moderator conditions. Meta-analytic multiple regression results generally supported the unique contribution of each affect to each attitude variable of interest. Implications and suggestions for future research on emotion-related aspects of job attitudes are discussed.

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SummaryUnderstanding the role of negative affectivity (NA) in relations between job stressors and resultant strains has been a major source of research interest in the organizational literature for almost two decades. In this study, we propose a contingency approach, whereby the role of NA depends on the nature of the strain construct under investigation. Specifically, we predicted that perceived job stressors would fully mediate the relationship between NA and turnover intentions, while job stressors would only partially mediate the relationship between NA and job and life satisfaction, and job stressors would be unrelated to depression once NA was taken into account. The relative fit of these four models is tested utilizing data from two divergent samples (sales representatives and managers) employing both self-and informant reports of strain measures where feasible. Hypotheses regarding the specified nature of the NA ! stressor ! strain relationship generally were supported and replicated across samples. In addition, an alternate model specifying that NA moderates the relationship between stressors and strains was not supported for any strain variable.

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