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Correction for Range Restriction in Meta‐Analysis Revisited: Improvements and Implications for Organizational Research
Authors:Huy Le  In‐Sue Oh  Frank L. Schmidt  Colin D. Wooldridge
Affiliation:1. University of Texas at San Antonio;2. Temple University;3. University of Iowa
Abstract:In this study, we present a more accurate method for correcting for range restriction (Case V) that expands upon Bryant and Gokhale's (1972) method. We further present detailed steps to incorporate the Case V method into Schmidt and Hunter's (2015) psychometric meta‐analysis methods (both individual correction and artifact distribution approaches). We then evaluate the accuracy of the Case V method vis‐à‐vis existing methods. Monte‐Carlo simulation results indicate that the Case V method provides very accurate estimates for the mean true score correlation and reasonably accurate estimates for the true standard deviation. More important, Case V almost always provides more accurate results than alternative methods (particularly, Case IV). To illustrate how the Case V method works with real data, we conduct a reanalysis of Judge, Heller, and Mount's (2002) meta‐analysis examining the relationships between the Big 5 personality traits and job satisfaction. Results indicate that the true score correlations between the Big 5 traits and job satisfaction have been underestimated, whereas their true standard deviations have been overestimated. Implications for range restriction corrections in organizational research are discussed.
Keywords:
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