A Generalized Formula for Converting Chi-Square Tests to Effect Sizes for Meta-Analysis

Michael S Rosenberg

PLOS ONE, 2010, vol. 5, issue 4, 1-3

Abstract: 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.

Date: 2010
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0010059

DOI: 10.1371/journal.pone.0010059

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