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R
effectsize

interpret_omega_squared

Interpret ANOVA effect size

Description

Interpret ANOVA effect size

Usage

interpret_omega_squared(es, rules = "field2013")

interpret_eta_squared(es, rules = "field2013")

interpret_epsilon_squared(es, rules = "field2013")

Arguments

es

Value or vector of eta / omega / epsilon squared values.
rules

Can be "field2013" (default), "cohen1992" or custom set of rules().

Rules

  • Field (2013) ("field2013"; default)

    • ES < 0.01 - Very small

    • 0.01 <= ES < 0.06 - Small

    • 0.16 <= ES < 0.14 - Medium

    • **ES >= 0.14 ** - Large

  • Cohen (1992) ("cohen1992") applicable to one-way anova, or to partial eta / omega / epsilon squared in multi-way anova.

    • ES < 0.02 - Very small

    • 0.02 <= ES < 0.13 - Small

    • 0.13 <= ES < 0.26 - Medium

    • ES >= 0.26 - Large

References

  • Field, A (2013) Discovering statistics using IBM SPSS Statistics. Fourth Edition. Sage:London.

  • Cohen, J. (1992). A power primer. Psychological bulletin, 112(1), 155.

See Also

http://imaging.mrc-cbu.cam.ac.uk/statswiki/FAQ/effectSize

Examples

interpret_eta_squared(.02)
interpret_eta_squared(c(.5, .02), rules = "cohen1992")
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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