interpret_omega_squared: Interpret ANOVA Effect Sizes

In effectsize: Indices of Effect Size

Interpret ANOVA Effect Sizes

Description

Interpret ANOVA Effect Sizes

Usage

interpret_omega_squared(es, rules = "field2013", ...)

interpret_eta_squared(es, rules = "field2013", ...)

interpret_epsilon_squared(es, rules = "field2013", ...)

interpret_r2_semipartial(es, rules = "field2013", ...)

Arguments

es	Value or vector of (partial) eta / omega / epsilon squared or semipartial r squared values.
rules	Can be "field2013" (default), "cohen1992" or custom set of rules().
...	Not used for now.

Rules

• Field (2013) ("field2013"; default)

  • ES < 0.01 - Very small

  • 0.01 <= ES < 0.06 - Small

  • 0.06 <= 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

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

Examples

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

effectsize documentation built on July 3, 2024, 9:07 a.m.