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

Michael S. Rosenberg

doi:10.1371/journal.pone.0010059

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

Michael S. Rosenberg

Research output: Contribution to journal › Article › peer-review

40 Scopus citations

Abstract

The common formula used for converting a chi-square test into a correlation coefficient for use as an effect size in metaanalysis has a hidden assumption which may be violated in specific instances, leading to an overestimation of the effect size. A corrected formula is provided.

Original language	English (US)
Article number	e10059
Journal	PloS one
Volume	5
Issue number	4
DOIs	https://doi.org/10.1371/journal.pone.0010059
State	Published - 2010

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

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