Bayesian meta-analysis of correlation coefficients through power prior

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.

KEYWORDS:

• Bayesian
• Correlation coefficient
• Meta-analysis
• Power prior

MATHEMATICS SUBJECT CLASSIFICATION:

• 97K80
• 62F15