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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

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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    Date Created
    • 2010-04-07
    Resource Type
  • Text
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    Identifier
    • Digital object identifier: 10.1371/journal.pone.0010059
    • Identifier Type
      International standard serial number
      Identifier Value
      1045-3830
    • Identifier Type
      International standard serial number
      Identifier Value
      1939-1560

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    Rosenberg, M. S. (2010). A Generalized Formula for Converting Chi-Square Tests to Effect Sizes for Meta-Analysis. PLoS ONE, 5(4). doi:10.1371/journal.pone.0010059

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