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

Michael S. Rosenberg

Research output: Contribution to journalArticle

16 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 languageEnglish (US)
Article numbere10059
JournalPloS one
Volume5
Issue number4
DOIs
StatePublished - Sep 10 2010

ASJC Scopus subject areas

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

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