Abstract
When a meta-analysis on results from experimental studies is conducted, differences in the study design must be taken into consideration. A method for combining results across independent-groups and repeated measures designs is described, and the conditions under which such an analysis is appropriate are discussed. Combining results across designs requires that (a) all effect sizes be transformed into a common metric, (b) effect sizes from each design estimate the same treatment effect, and (c) meta-analysis procedures use design-specific estimates of sampling variance to reflect the precision of the effect size estimates.
Keywords
Meta-analysisStatisticsSample size determinationMetric (unit)Repeated measures designAnalysis of varianceDesign of experimentsVariance (accounting)MathematicsEconometricsSampling (signal processing)Statistical analysisMain effectComputer scienceEngineering
MeSH Terms
HumansMeta-Analysis as TopicModelsPsychological
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Publication Info
- Year
- 2002
- Type
- article
- Volume
- 7
- Issue
- 1
- Pages
- 105-125
- Citations
- 2269
- Access
- Closed
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Cite This
Scott B. Morris,
Richard P. DeShon
(2002).
Combining effect size estimates in meta-analysis with repeated measures and independent-groups designs..
Psychological Methods
, 7
(1)
, 105-125.
https://doi.org/10.1037/1082-989x.7.1.105
Identifiers
- DOI
- 10.1037/1082-989x.7.1.105
- PMID
- 11928886