Advanced Meta-Analysis

Session Type: Professional Development Course

Abstract

This course will introduce advanced methods in meta-analysis. Topics covered include the computation of effect sizes from complex research designs, the use of fixed versus random effects models, planning for the conduct of a meta-analysis, methods for exploring heterogeneity of effect sizes including categorical models and meta-regression, and graphical methods for the display of meta-analytic results and for testing the sensitivity of results to publication bias. The statistical package R will be used to conduct the statistical techniques discussed. Participants are encouraged to bring their own research in progress to the course. The activities will include lecture, hands-on exercises, and individual consultation. This course is designed to follow the introduction to systematic review and meta-analysis course given by the instructors in prior AERA professional development training sessions. The target audience are those researchers who have systematic review and meta-analysis experience but need more in-depth knowledge of how to conduct and interpret models of effect size. Knowledge of basic descriptive statistics is assumed. Students are required to bring a laptop computer.

Sub Unit

• Professional Development and Training Committee

Instructors

• Terri D. Pigott, Loyola University Chicago

• Joshua R. Polanin, American Institutes for Research

• Ariel M. Aloe, University of Iowa

• Ryan Williams, American Institutes for Research