Bayesian meta-analysis of correlation coefficients through power prior |
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Authors: | Zhiyong Zhang Kaifeng Jiang Haiyan Liu In-Sue Oh |
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Affiliation: | 1. Department of Psychology, University of Notre Dame, Notre Dame, USA;2. Fox School of Business, Temple University, Philadelphia, USA |
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Abstract: | This article proposes a Bayesian approach for meta-analysis of correlation coefficients through power prior. The primary purpose of this method is to allow meta-analytic researchers to evaluate the contribution and influence of each individual study to the estimated overall effect size though power prior. We use the relationship between high-performance work systems and financial performance as an example to illustrate how to apply this method. We also introduce free online software that can be used to conduct Bayesian meta-analysis proposed in this study. Implications and future directions are also discussed in this article. |
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Keywords: | Bayesian Correlation coefficient Meta-analysis Power prior |
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