A NEW META-ANALYTIC APPROACH

A new meta-analytic approach for assessing the generalizability of correlations or criterion-related validities is presented. The new approach incorporates specific procedures for estimating the sampling variance of corrected and uncorrected correlations. A major advantage of the new approach is the ease with which studies without any sample-based artifact data, with partial sample-based artifact data, or complete sample-based artifact data can be incorporated together into a practical procedure for meta-analysis. Monte Carlo studies indicated that the new procedure is consistently more accurate in estimating the mean and variance of true validities than the current correlation-based procedures. The implications of the new approach and its procedures for more appropriately estimating confidence limits, magnitudes, and the generalizability of correlations are discussed.