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Meta-analysis and systematic reviews
Date
2009-12-04 (Creation date: 2009-12-04)
Main contributor
David Wilson
Summary
Meta-analysis is a statistical method of synthesizing quantitative results across studies examining a common research question. This talk will focus on the logic and methods of meta-analysis. A key feature of meta-analysis is the effect size, which encodes study findings on a common index, such as the standardized mean difference, correlation coefficient, or odds-ratio. Analysis of these effect sizes considers not only the central tendency of effects across studies but also the relationship of study features to variability in effects. Both fixed- and random-effects models will be discussed, as well as approaches to moderator analysis.
Publisher
IU Workshop in Methods
Collection
Workshop in Methods
Unit
Social Science Research Commons
Notes

Performers

David B. Wilson, is Associate Professor and Chair of the Administration of Justice Department at George Mason University and co-Director of the Research Program on Systematic Reviews. His Ph.D. is in applied social psychology from Claremont Graduate University. His research interests include the effectiveness of offender rehabilitation and crime prevention efforts, program evaluation methodology, and meta-analysis. His has undertaken research on the effectiveness of juvenile delinquency interventions, school-based prevention programs, correctional boot-camps, court-mandated batterer intervention programs, and drug-courts. He is an associate editor of the Journal of Experimental Criminology, a consulting editor for Psychological Bulletin, and was awarded the Marcia Guttentag Award for Early Promise as an Evaluator by the American Evaluation Association.