META-ANALYSIS
Meta-analysis is the set of statistical methods and practices for synthesizing evidence collected from multiple sources, such as multiple studies on the same topic. Often conducted as part of a systematic literature review, meta-analyses play an increasingly prominent role in education research, psychology, and many other areas of social and behavior science. Covers the stages of the research synthesis process and the statistical methods used for conducting quantitative syntheses of social-scientific research. Focus on practical application and interpretation of meta-analytic methods, enriched with discussion of underlying statistical theory. Major topics include the scope of research syntheses, systematic search and screening procedures, effect size calculations, summary meta-analysis, meta-regression, dependent effect sizes, selective reporting and publication bias analysis.
Topics
- the scope of research syntheses
- systematic search and screening procedures
- effect size calculations
- summary meta-analysis
- meta-regression
- dependent effect sizes
- selective reporting and publication bias analysis
Topics explicitly listed in official catalogue description
Prerequisites & course information
Requisites: ED PSYCH 763 Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Spring 2026 Learning Outcomes: 1. Conduct a systematic, replicable search of literature databases for purposes of identifying studies eligible for a meta-analysis. Audience: Graduate 2. Extract data and calculate effect sizes and associated information from primary study reports. Audience: Graduate 3. Analyze meta-analytic databases using appropriate statistical techniques. Audience: Graduate 4. Interpret and critically evaluate the results of summary meta-analyses, meta-regression analyses, and publication bias analyses. Audience: Graduate 5. Identify limitations and threats to the validity of meta-analytic findings. Audience: Graduate Learning Outcomes: 1. Conduct a systematic, replicable search of literature databases for purposes of identifying studies eligible for a meta-analysis. Audience: Graduate 2. Extract data and calculate effect sizes and associated information from primary study reports. Audience: Graduate 3. Analyze meta-analytic databases using appropriate statistical techniques. Audience: Graduate 4. Interpret and critically evaluate the results of summary meta-analyses, meta-regression analyses, and publication bias analyses. Audience: Graduate 5. Identify limitations and threats to the validity of meta-analytic findings. Audience: Graduate
Sources
- Course catalogue ↗2026-2027