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

Michael S. Rosenberg

Research output: Contribution to journalArticle

14 Citations (Scopus)

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 languageEnglish (US)
Article numbere10059
JournalPLoS One
Volume5
Issue number4
DOIs
StatePublished - 2010

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Chi-Square Distribution
meta-analysis
Meta-Analysis
chi-square distribution

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Medicine(all)

Cite this

A generalized formula for converting chi-square tests to effect sizes for meta-analysis. / Rosenberg, Michael S.

In: PLoS One, Vol. 5, No. 4, e10059, 2010.

Research output: Contribution to journalArticle

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