4.6 Article

A Generalized Formula for Converting Chi-Square Tests to Effect Sizes for Meta-Analysis

Journal

PLOS ONE
Volume 5, Issue 3, Pages -

Publisher

PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pone.0010059

Keywords

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Funding

  1. National Evolutionary Synthesis Center (NESCent
  2. NSF) [EF-0905606]
  3. National Science Foundation (NSF) [DBI-0542599]

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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.

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