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PLoS One. 2010 Apr 7;5(4):e10059. doi: 10.1371/journal.pone.0010059.

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

Author information

1
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

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.

PMID:
20383281
PMCID:
PMC2850938
DOI:
10.1371/journal.pone.0010059
[Indexed for MEDLINE]
Free PMC Article

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