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eta2_to_f2

Convert between ANOVA effect sizes


Description

Convert between ANOVA effect sizes

Usage

eta2_to_f2(es)

eta2_to_f(es)

f2_to_eta2(f2)

f_to_eta2(f)

Arguments

es

Any measure of variance explained such as Eta-, Epsilon-, Omega-, or R-Squared, partial or otherwise. See details.

f, f2

Cohen's f or f-squared.

Details

Any measure of variance explained can be converted to a corresponding Cohen's f via:

f^2 = \frac{η^2}{1 - η^2}



η^2 = \frac{f^2}{1 + f^2}



If a partial Eta-Squared is used, the resulting Cohen's f is a partial-Cohen's f; If a less biased estimate of variance explained is used (such as Epsilon- or Omega-Squared), the resulting Cohen's f is likewise a less biased estimate of Cohen's f.

References

  • Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd Ed.). New York: Routledge.

  • Steiger, J. H. (2004). Beyond the F test: Effect size confidence intervals and tests of close fit in the analysis of variance and contrast analysis. Psychological Methods, 9, 164-182.

See Also

eta_squared() for more details.

Other convert between effect sizes: d_to_common_language(), d_to_r(), odds_to_probs(), oddsratio_to_riskratio()


effectsize

Indices of Effect Size and Standardized Parameters

v0.4.4-1
GPL-3
Authors
Mattan S. Ben-Shachar [aut, cre] (<https://orcid.org/0000-0002-4287-4801>), Dominique Makowski [aut] (<https://orcid.org/0000-0001-5375-9967>), Daniel Lüdecke [aut] (<https://orcid.org/0000-0002-8895-3206>), Indrajeet Patil [ctb] (<https://orcid.org/0000-0003-1995-6531>, @patilindrajeets), Ken Kelley [ctb], David Stanley [ctb]
Initial release

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