On the use of beta coefficients in meta-analysis.
This research reports an investigation of the use of standardized regression (beta) coefficients in meta-analyses that use correlation coefficients as the effect-size metric. The investigation consisted of analyzing more than 1,700 corresponding beta coefficients and correlation coefficients harvested from published studies. Results indicate that, under certain conditions, using knowledge of corresponding beta coefficients to input missing correlations (effect sizes) generally produces relatively accurate and precise population effect-size estimates. Potential benefits from applying this knowledge include smaller sampling errors because of increased numbers of effect sizes and smaller non-sampling errors because of the inclusion of a broader array of research designs.
Peterson
Robert A
RA
Department of Marketing, McCombs School of Business, The University of Texas at Austin, Austin, TX 78712, USA. rap@mail.utexas.edu
Brown
Steven P
SP
D006801:Humans; D015201:Meta-Analysis as Topic; D011584:Psychology / Q000706:statistics & numerical data*; D015203:Reproducibility of Results; D018401:Sample Size