Correction for Range Restriction in Meta-Analysis Revisited: Improvements and Implications for Organizational Research
| Autor: | Huy Le, In-Sue Oh, Frank L. Schmidt, Colin D. Wooldridge |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Organizational Behavior and Human Resource Management
05 social sciences 050401 social sciences methods Construct validity Standard deviation Correlation 0504 sociology Meta-analysis 0502 economics and business Statistics Range (statistics) Job satisfaction Almost surely Big Five personality traits Psychology 050203 business & management Applied Psychology |
| Zdroj: | Personnel Psychology. 69:975-1008 |
| ISSN: | 0031-5826 |
| Popis: | 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-a-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. [ABSTRACT FROM AUTHOR] |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Plný text