Advances in Meta-Analysis

Meta-analysis is used increasingly in the social sciences to synthesize research results.  As both primary research and the questions addressed by meta-analysis have been grown more complex, meta-analysis techniques have evolved to address these issues.  This book covers a number of advances in meta-analysis that are not covered in detail in many introductory books on research synthesis.  More specifically, this book discusses the planning of a meta-analysis for complex questions, computing power for tests in meta-analysis, handling missing data in meta-analysis, integrating individual data into a traditional meta-analysis and generalizing from the results of a meta-analysis.  For each topic, a fully annotated example is provided with sample computer programs for the major statistical packages.  This book assumes a familiarity with basic meta-analytic techniques.  The goal of the book is to provide researchers with advanced strategies for strengthening the planning, conduct and interpretations of meta-analysis with complex data.

Terri D. Pigott is a Professor of Research Methodology in Loyola University Chicago’s School of Education.  Her research interests are in developing new methods for meta-analysis, and the use of meta-analysis in public policy..

• ANOVA Model
• Complex Data
• Meta-Analysis
• Meta-Regression
• Variance Component

• School of Education, Loyola University Chicago, Chicago, USA

  Terri D. Pigott

Terri D. Pigott is a Professor of Research Methodology in Loyola University Chicago’s School of Education.  Her research interests are in developing new methods for meta-analysis, and the use of meta-analysis in public policy.