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Interpret ANOVA Effect Sizes
interpret_omega_squared(es, rules = "field2013", ...)interpret_eta_squared(es, rules = "field2013", ...)interpret_epsilon_squared(es, rules = "field2013", ...)
interpret_eta_squared(es, rules = "field2013", ...)
interpret_epsilon_squared(es, rules = "field2013", ...)
Value or vector of eta / omega / epsilon squared values.
Can be "field2013" (default), "cohen1992" or custom set of rules().
"field2013"
"cohen1992"
rules()
Not used for now.
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
Field, A (2013) Discovering statistics using IBM SPSS Statistics. Fourth Edition. Sage:London.
Cohen, J. (1992). A power primer. Psychological bulletin, 112(1), 155.
https://imaging.mrc-cbu.cam.ac.uk/statswiki/FAQ/effectSize/
interpret_eta_squared(.02) interpret_eta_squared(c(.5, .02), rules = "cohen1992")
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