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Related Experiment Videos

r equivalent: A simple effect size indicator.

Robert Rosenthal1, Donald B Rubin2

  • 1U California.

Psychological Methods
|December 11, 2003
PubMed
Summary
This summary is machine-generated.

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This study introduces r(equivalent), a simple effect size estimate derived from sample size and p-value. It is useful in meta-analysis when other effect size measures are unavailable or misleading.

Area of Science:

  • Statistics
  • Psychometrics
  • Meta-analysis

Background:

  • Effect size estimation is crucial for meta-analysis.
  • Existing methods may be limited when only sample size and p-values are reported.
  • A need exists for a universally applicable effect size measure.

Purpose of the Study:

  • To propose a novel, simple effect size estimate, termed r(equivalent).
  • To provide a method for meta-analytic research when primary data is limited.
  • To offer an alternative when standard effect size calculations are misleading.

Main Methods:

  • The proposed r(equivalent) is derived from sample size (N) and p-value.
  • It equates to the sample point-biserial correlation under specific experimental conditions.

Related Experiment Videos

  • The method assumes an exactly normally distributed outcome in a two-treatment experiment.

    • Main Results:

    • The study defines and explains the calculation of r(equivalent).
    • It demonstrates the utility of r(equivalent) in specific meta-analytic scenarios.
    • Limitations of the r(equivalent) estimate are also discussed.

    Conclusions:

    • r(equivalent) offers a practical solution for effect size estimation in data-limited meta-analyses.
    • This method enhances the comparability and interpretability of research findings.
    • Researchers are encouraged to consider r(equivalent) when standard measures are insufficient.