MetaAnalysisCorr: An SAS/IML Program to Synthesize Correlation Matrices with Hunter and Schmidt,Hedges and Olkin,and Generalized Least Squares Approaches
Restricted accessOtherFirst published online May, 2003
MetaAnalysisCorr: An SAS/IML Program to Synthesize Correlation Matrices with Hunter and Schmidt,Hedges and Olkin,and Generalized Least Squares Approaches
Meta-analysis, the analysis of analyses, is a standard statistical procedure for summarizing research findings in behavioral sciences. The Hunter-Schmidt approach (Hunter & Schmidt, 1990) and the Hedges-Olkin (Hedges & Olkin, 1985) approach are the two most frequently used procedures. When dealing with multivariate cases, for instance, correlation matrices, these procedures are applied to individual correlation coefficients of the correlation matrix separately. A better approach, however, is to use the generalized least squares approach, which was proposed for multivariate effect sizes (e.g., Becker, 1992, 1995; Hedges & Olkin, 1985).
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