CONDUCTING METAANALYSIS USING THE PROC MEANS PROCEDURE IN SAS

The methodology for using the PROC MEANS procedure in SAS to perform the data computations called for by the Hunter and Schmidt approach to meta-analysis is presented. Using SAS for meta-analytic data analysis offers several potential advantages including ease of use, flexibility, and widespread availability. Specific procedures are presented for calculating summary statistics and then correcting these summary statistics for sampling error and other statistical artifacts such as range restriction and measurement error. One particularly attractive feature of this approach is the ease with which potential moderator variables can be analyzed simply by adding a few additional statements to the SAS program.