Effect Sizes Based on Correlations

By M. Borenstein, L. Hedges, Julian P. T. Higgins, H. Rothstein. Introduction to Meta‐Analysis, 2009

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where n is the sample size. Most meta-analysts do not perform syntheses on the correlation coefficient itself because the variance depends strongly on the correlation. Rather, the correlation is converted to the Fisher’s z scale (not to be confused with the z-score used with significance tests), and all analyses are performed using the transformed values. The results, such as the summary effect and its confidence interval, would then be converted back to correlations for presentation. This is shown schematically in Figure 6.1, and is analogous to the procedure used with odds ratios or risk ratios where all analyses are performed using log transformed values, and then converted back to the original metric.

Subfields: Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/3c99b53a4f277e986bd610e31d1fb2ad56f40486