Peer-reviewed Article

A generalized formula for converting chi-square tests to effect sizes for meta-analysis

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.

Full Citation

Rosenberg, M.S. (2010) A generalized formula for converting chi-square tests to effect sizes for meta-analysis. PLoS ONE 5(4):e10059. [3 pages]

DOI

10.1371/journal.pone.0010059

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PubMed Record

PMID: 20383281

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46 citations as of 2024-011-19

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