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Comparison of two random-effects methods of meta-analysis
Steven M Hall1, Michael T Brannick
1Department of Human Factors and Systems, Embry-Riddle Aeronautical University, Daytona Beach, Florida 32114-3900, USA. hallst@db.erau.edu
The Journal of Applied Psychology
|May 11, 2002
Summary
The Schmidt-Hunter method and Hedges-Vevea method show slight differences in meta-analysis. Artifact correction choice significantly impacts outcomes more than the meta-analysis technique itself.
Area of Science:
- Psychometrics
- Statistical Analysis
- Research Methodology
Background:
- Meta-analysis is crucial for synthesizing research findings.
- The Schmidt-Hunter method and Hedges-Vevea method are two prominent meta-analytic techniques.
- Understanding their comparative performance and impact is essential for robust research synthesis.
Purpose of the Study:
- To compare the Schmidt-Hunter method with the Hedges-Vevea method in meta-analysis.
- To evaluate the influence of meta-analysis technique versus artifact correction on study outcomes.
Main Methods:
- Monte Carlo simulations were used to assess parameter estimates and credibility intervals for both methods (Study 1).
- Reanalysis of published meta-analyses examined the impact of different artifact distributions and correction techniques (Study 2).
Main Results:
- Study 1 revealed minor discrepancies between the Schmidt-Hunter and Hedges-Vevea methods.
- Study 2 indicated that the choice of artifact correction method has a greater effect on meta-analysis results than the chosen meta-analysis technique.
Conclusions:
- While both meta-analysis techniques yield comparable results, artifact correction strategies are critical.
- Researchers should prioritize careful consideration of artifact correction methods for accurate meta-analytic findings.