Bootstrap confidence intervals for the mean correlation corrected for case iv range restriction: A more adequate procedure for meta-analysis

  • Li J
  • Cui Y
  • Chan W
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In 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., ; 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). 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) was found to be more accurate than the uncorrected estimate. Implications of the mean-corrected correlation r(c4) and BCaI in organizational studies are also discussed.

Author-supplied keywords

  • Bootstrap
  • Case IV range restriction
  • Confidence intervals
  • Correlation
  • Meta-analysis
  • Procedure

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  • Johnson Ching Hong Li

  • Ying Cui

  • Wai Chan

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