Many Monte Carlo studies have evaluated the Schmidt and Hunter (S&H) (1977) meta-analytic procedures for combining independent correlation coefficients and their 75% rule for testing the homogeneity of variance. This study is different in using simulated data that are more typical of those sata sets included in meta-analyses (Cornwell, 1989) such that sample size, effect size, degree of range restriction, measurement error, and number of correlations were simultaneously manipulated in evaluating the S&H procedures' reliability, Type I and II error, bias, and standard error. The results are summarized in terms of the reliability of the S&H procedure in estimating mean rho and the variance of rhos.
Abstract