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A SAS macro for statistical power calculations in meta-analysis.
Guy Cafri1, Jeffrey D Kromrey2, Michael T Brannick2
1Department of Psychology, University of South Florida, 33620-8200, Tampa, FL. cafri@mail.usf.edu.
Statistical power analysis is crucial for meta-analysis, though often overlooked. This study provides guidelines and a SAS macro for conducting power analysis in meta-analysis to enhance research rigor.
Area of Science:
- Psychology
- Statistics
- Research Methodology
Background:
- Statistical power is a key consideration in primary research design.
- However, statistical power is frequently neglected in the context of meta-analysis.
- This oversight can impact the reliability and interpretation of meta-analytic findings.
Purpose of the Study:
- To provide background and guidelines for conducting statistical power analysis in meta-analysis.
- To introduce a SAS macro for calculating statistical power based on established methods.
- To illustrate the application of power analysis in meta-analysis through practical examples.
Main Methods:
- Review of existing literature on statistical power in meta-analysis.
- Development and presentation of a SAS macro for power calculations.
- Demonstration of the macro's utility with detailed input and output examples.
Main Results:
- Guidelines and procedures for performing power analysis in meta-analysis are presented.
- A functional SAS macro is provided for calculating statistical power.
- Examples showcase the practical implementation and interpretation of power analysis results.
Conclusions:
- Integrating statistical power analysis into meta-analysis is essential for robust research.
- The provided SAS macro and guidelines facilitate the application of power analysis.
- This approach enhances the validity and interpretability of meta-analytic evidence.
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