title: Bootstrap confidence intervals for the mean correlation corrected for Case IV range restriction: a more adequate procedure for meta-analysis.
abstract: 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.
authors.affiliation: Division of Learning, Development and Diversity, Faculty of Education, The University of Hong Kong, Hong Kong. lchjohn@hku.hk
authors.forename: Johnson Ching-Hong
authors.initials: JC
authors.lastname: Li
authors.forename: Ying
authors.initials: Y
authors.lastname: Cui
authors.forename: Wai
authors.initials: W
authors.lastname: Chan
mesh_terms: D015982:Bias; D016001:Confidence Intervals; D006801:Humans; D015201:Meta-Analysis as Topic; D015233:Models, Statistical; D009010:Monte Carlo Method; D015203:Reproducibility of Results; D012107:Research Design / Q000706:statistics & numerical data*