PD25-06 Advanced Meta-Analysis

Session Type: Professional Development Course

Abstract

This one-day course will introduce advanced methods in meta-analysis. Topics covered include models for handling multiple effect sizes per study (dependent effect sizes) and exploring heterogeneity, the use of meta-analysis structural equation modeling (MASEM), and an introduction to single-case experimental design meta-analysis. 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 workshop. The activities will include lecture, hands-on exercises, and individual consultation. This workshop is designed to follow the introduction to systematic review and meta-analysis course given in prior AERA Professional Development training sessions. The target audience are those researchers with systematic review and meta-analysis experience, but who are interested in learning advanced methods for meta-analysis. Knowledge of basic descriptive statistics, systematic review, and basic meta-analysis is assumed. Students are required to bring a laptop computer. Course objectives include: Apply and estimate models that appropriately reflect the multilevel and correlated structure of meta-analysis data; Apply and interpret meta-regression models for dependent effect sizes that explore effect size heterogeneity; Demonstrate the use of meta-analysis structural equation modeling for estimating path models; Demonstrate the use of single-case meta-analysis models to synthesize single-case experimental design studies. There is an additional course fee: Member: $120/Non-member: $150

Sub Unit

• Professional Development and Training Committee

Director

• Terri D. Pigott, Georgia State University

Instructors

• Tasha Beretvas, University of Texas at Austin

• Ryan Williams, American Institutes for Research

• Wim Van den Noortgate, KU Leuven