Advances in Meta-Analysis

The book describes multivariate analyses for several indices commonly used in meta-analysis (e.g., correlations, effect sizes, proportions and/or odds ratios), outlines how to do power analysis for meta-analysis (again for each of the different kinds of study outcome indices), and examines issues around research quality and research design and their roles in synthesis.

Includes more than 50 illustrations and tables The book describes multivariate analyses for several indices commonly used in meta-analysis (e.g., correlations, effect sizes, proportions and/or odds ratios) It outlines how to do power analysis for meta-analysis for each of the different kinds of study outcome indices Features examination of issues around research quality and research design and their roles in synthesis

Autorentext

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.

Inhalt

Rationale and overview of the book.- Complexities of primary research and meta-analysis.- Fixed, random, and mixed models.- Correlations.- Effect sizes.- Proportion/odds ratio data.- Dependence in primary research and meta-analysis.- Correlations.- Effect sizes (group comparisons and change measures).- Proportion/odds ratio data.- Bayesian approaches.- Missing data.- Combining across designs.- Qualitative studies in synthesis.- Quality assessments.- Studies on quality weighting.- Summary/Conclusions.