Convert Between ANOVA Effect Sizes
Details
Any measure of variance explained can be converted to a corresponding Cohen's
f via:
$$f^2 = \frac{\eta^2}{1 - \eta^2}$$
$$\eta^2 = \frac{f^2}{1 + f^2}$$
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_r()
,
diff_to_cles
,
odds_to_probs()
,
oddsratio_to_riskratio()
,
w_to_fei()