Advances in Meta-Analysis

  • Terri D. Pigott
Part of the Statistics for Social and Behavioral Sciences book series (SSBS)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Terri D. Pigott
    Pages 1-6
  3. Terri D. Pigott
    Pages 7-12
  4. Terri D. Pigott
    Pages 35-54
  5. Terri D. Pigott
    Pages 133-141
  6. Terri D. Pigott
    Pages 147-152
  7. Back Matter
    Pages 153-155

About this book


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

Authors and affiliations

  • Terri D. Pigott
    • 1
  1. 1.School of EducationLoyola University ChicagoChicagoUSA

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media, LLC 2012
  • Publisher Name Springer, Boston, MA
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-1-4614-2277-8
  • Online ISBN 978-1-4614-2278-5