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Meta-analysis: recent developments in quantitative methods for literature reviews.
1Department of Psychology, University of California, Riverside, Riverside, California 92521, USA.
Annual Review of Psychology
|January 10, 2001
Summary
Meta-analysis synthesizes research by examining effect sizes, offering a comprehensive view of a field. This quantitative approach addresses criticisms by clarifying procedures and highlighting the importance of effect size estimation and heterogeneity.
Area of Science:
- Statistics
- Research Methodology
Background:
- Meta-analysis is a statistical technique for combining results from independent studies.
- Historical criticisms of meta-analysis often stem from misunderstandings of its methodology.
Purpose of the Study:
- To describe the history and current status of the meta-analytic enterprise.
- To outline the advantages and address criticisms of meta-analysis.
- To explain the role of effect sizes in meta-analysis.
Main Methods:
- Description of the basic steps involved in conducting a meta-analysis.
- Explanation of effect size estimation and its importance.
- Discussion of heterogeneity assessment in meta-analysis.
Main Results:
- Meta-analysis provides a broad "landscape" of a research domain.
- It helps keep statistical significance in perspective and minimizes wasted data.
- Key advantages include asking focused research questions and identifying moderator variables.
Conclusions:
- Many criticisms of meta-analysis are based on misunderstandings and apply equally to traditional reviews.
- Understanding effect size estimation, heterogeneity, and practical importance is crucial for effective meta-analysis.
- Meta-analysis is a valuable tool for synthesizing scientific literature.