Advances in Meta-Analysis for Multivariable Linear Models
Sunday, May 24, 2009,
9:00 AM - 10:20 AM
Yerba Buena 3 - 4
Adam R. Hafdahl
Washington University in St. Louis
Most research synthesists meta-analyze one or more separate bivariate associations, each quantified by a correlation or other index. We intend for this symposium to familiarize a broader audience with contemporary meta-analytic techniques better suited for forms of multivariable association that primary researchers often examine: Linear models such as path, factor, and structural equation models, and functions of correlations such as partial and multiple correlations and regression coefficients. Some familiarity with basic meta-analysis and linear-model concepts and procedures will be assumed, but the presentations are meant to be accessible to the typical psychological scientist.