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Related Experiment Videos

A simple effect size indicator for two-group comparisons? A comment on r equivalent.

Helena Chmura Kraemer1

  • 1Department of Psychiatry, Stanford University, Stanford, CA 94305, USA. hck@stanford.edu

Psychological Methods
|January 6, 2006
PubMed
Summary
This summary is machine-generated.

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The r-equivalent effect size proposed by Rosenthal and Rubin (2003) offers a way to estimate effect size when only p-values and sample sizes are known. However, its limitations are significant and require careful consideration before application.

Area of Science:

  • Statistics
  • Psychometrics
  • Quantitative Research Methods

Background:

  • The r-equivalent effect size was introduced by Rosenthal and Rubin in 2003.
  • It is applicable when only sample size and p-values are available, or when direct effect size computation is problematic due to small sample sizes or non-normal data.

Discussion:

  • The proposed r-equivalent effect size has numerous and serious limitations not fully acknowledged by its authors.
  • These limitations necessitate careful evaluation before its widespread application in research.
  • The method's potential for misleading results warrants critical assessment.

Key Insights:

  • The r-equivalent effect size is a proposed metric for situations with limited statistical information.
  • Directly computed effect sizes can be misleading under certain data conditions (small N, non-normality).

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  • The utility and validity of the r-equivalent effect size are questionable due to unaddressed limitations.

    • Outlook:

    • Further research is needed to develop more robust and reliable effect size measures.
    • Researchers should exercise caution and critically appraise the applicability of the r-equivalent effect size.
    • Future effect size methodologies should address the limitations identified in this proposal.