JOB SATISFACTION, ORGANIZATIONAL COMMITMENT, TURNOVER INTENTION, AND TURNOVER: PATH ANALYSES BASED ON META-ANALYTIC FINDINGS

Cross-study differences in the contributions of work attitudes to the turnover process led us to (a) estimate the six relations among job satisfaction, organizational commitment, turnover intention/withdrawal cognitions, and turnover using meta-analysis; (b) assess the effects of several psychometric moderators on those relations; and (c) compare the influences of satisfaction and commitment in the turnover process by applying path analysis to the meta-analytic correlations. Based on aggregations involving a total of 178 independent samples from 155 studies, results showed that (a) satisfaction and commitment each contribute independently to the prediction of intention/cognitions; (b) intention/cognitions are predicted more strongly by satisfaction than by commitment; (c) intention/cognitions mediate nearly all of the attitu-dinal linkage with turnover; and (d) attitudinal contributions to the turnover process vary with the use of single- versus multi-item scales, the 9- versus 15-item version of the Organizational Commitment Questionnaire, and turnover intention versus withdrawal cognition scales.     

SCALING PERFORMANCE UTILITY TO ENHANCE SELECTION/CLASSIFICATION DECISIONS

For purposes of selection and classification there are two general reasons for scaling the mean and variance of the utility of performance across jobs. First, if differential utility across jobs does exist, then the payoff from a selection and classification system will be enhanced to the extent that accurate utility values are incorporated in the assignment system. Second, a valid utility metric would permit a more meaningful comparison of the gains achieved by alternative selection and classification procedures. It is argued in this paper that the Army context, and perhaps others, precludes using the dollar metric and estimates of SD_y in dollars. Consequently, Project A conducted a relatively long series of exploratory workshops with Army personnel to (a) define the utility issue, (b) pilot test a wide variety of possible scaling methods, and (c) evaluate the methods that seemed most appropriate. On the basis of exploratory analysis, a combined procedure incorporating both an interval estimation and a ratio estimation method was used to estimate the utility of five different performance levels for each of 276 jobs (MOS) in the enlisted personnel system. The psychometric properties of the resulting scale values are analyzed and discussed.