A generalized formula for converting chi-square tests to effect sizes for meta-analysis.
The common formula used for converting a chi-square test into a correlation coefficient for use as an effect size in meta-analysis has a hidden assumption which may be violated in specific instances, leading to an overestimation of the effect size. A corrected formula is provided.
Rosenberg
Michael S
MS
Center for Evolutionary Medicine and Informatics, The Biodesign Institute and School of Life Sciences, Arizona State University, Tempe, Arizona, United States of America. msr@asu.edu
D016009:Chi-Square Distribution; D055641:Mathematical Concepts; D015201:Meta-Analysis as Topic; D008962:Models, Theoretical; D012107:Research Design; D018401:Sample Size
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