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Analyzing matrices of meta-analytic correlations: current practices and recommendations.
Zitong Sheng1, Wenmo Kong1, Jose M Cortina1
1George Mason University, Psychology, 4400 University Drive Fairfax, VA, USA, 22030.
Research Synthesis Methods
|June 12, 2016
Summary
This study reviews current practices for analyzing meta-analytic correlation matrices. It identifies gaps and offers recommendations for best practices in planning, collection, analysis, and interpretation.
Area of Science:
- Psychometrics
- Statistical analysis
- Research methodology
Background:
- Growing interest in analyzing meta-analytic correlation matrices.
- Methodologists have provided guidance on this technique.
- Existing practices may not align with recommended methods.
Purpose of the Study:
- Review current practices for analyzing meta-analytic correlation matrices.
- Identify discrepancies between current and best practices.
- Provide comprehensive recommendations for utilizing meta-analytic correlation matrices.
Main Methods:
- Literature review of current practices.
- Comparison of current practices against methodological recommendations.
- Synthesis of findings to formulate recommendations.
Main Results:
- Identified gaps exist between current and recommended practices.
- Specific areas for improvement in planning, data collection, analysis, and interpretation were noted.
- Need for clearer guidelines and adherence to methodological standards.
Conclusions:
- Adherence to best practices is crucial for robust meta-analytic correlation matrix analysis.
- Recommendations aim to improve the quality and validity of such studies.
- Further research and education on these methods are warranted.
Keywords:
current practicesmeta-analytic correlation matrixpath analysisrecommendationsstructural equation modelingMore Related Videos
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