Bootstrap Confidence Intervals for the Mean Correlation Corrected for Case IV Range Restriction: A More Adequate Procedure for Meta-Analysis
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AbstractIn this study, we proposed to use the nonparametric bootstrap procedure to construct the confidence interval for the mean correlation r corrected for Case IV range restriction in meta-analysis (i.e., (r(c4)) over bar; Hunter, Schmidt, & Le, 2006). A comprehensive Monte Carlo study was conducted to evaluate the accuracy of the parametric confidence interval and 3 nonparametric bootstrap confidence intervals for (r(c4)) over bar. Of the 4 intervals, our results showed that the bootstrap bias-corrected and accelerated percentile interval (BCaI) yielded the most accurate results across different data situations. In addition, the mean-corrected correlation (r(c4)) over bar was found to be more accurate than the uncorrected estimate. Implications of the mean-corrected correlation (r(c4)) over bar and BCaI in organizational studies are also discussed.
All Author(s) ListLi JCH, Cui Y, Chan W
Journal nameJournal of Applied Psychology
Volume Number98
Issue Number1
Pages183 - 193
LanguagesEnglish-United Kingdom
Keywordsbootstrap procedure; Case IV range restriction; confidence intervals; correlation; meta-analysis
Web of Science Subject CategoriesBusiness & Economics; Management; MANAGEMENT; Psychology; Psychology, Applied; PSYCHOLOGY, APPLIED

Last updated on 2020-09-07 at 01:24