Includes bibliographical references.

Review of effect sizes -- Planning a meta-analysis in systematic review -- Power analysis for the mean effect size -- Power for the test of homogeneity in fixed and random effects models -- Power analysis for categorical moderator models of effect size -- Missing data in meta-analysis : strategies and approaches -- Including individual participant data in meta-analysis -- Generalizations for meta-analysis -- Recommendations for producing a high quality meta-analysis -- Data appendix.

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.