#statstab #398 Eta^2 for bayesian models {effectsize}

Thoughts: Great resource, but scroll to "Eta Squared from Posterior Predictive Distribution"

#effectsize #eta2 #bayesian #brms #r

https://easystats.github.io/effectsize/reference/eta_squared.html#eta-squared-from-posterior-predictive-distribution

\(\eta^2\) and Other Effect Size for ANOVA — eta_squared

Functions to compute effect size measures for ANOVAs, such as Eta- (\(\eta\)), Omega- (\(\omega\)) and Epsilon- (\(\epsilon\)) squared, and Cohen's f (or their partialled versions) for ANOVA tables. These indices represent an estimate of how much variance in the response variables is accounted for by the explanatory variable(s). When passing models, effect sizes are computed using the sums of squares obtained from anova(model) which might not always be appropriate. See details.

#statstab #347 A Simple Method for Removing Bias From a Popular Measure of Standardized Effect Size: Adjusted Partial Eta Squared

Thoughts: Its epsilon^2, but easier to compute by hand.

#effectsize #ANOVA #eta2 #epislon2

https://journals.sagepub.com/doi/10.1177/2515245919855053

#statstab #210 Effect Sizes for ANOVAs {effectsize}

Thoughts: ANOVAs are rarely what ppl want to report, but if it is then report an effect size! Just mind the % for the CIs 😉

#ANOVA #effectsize #APA #reporting #nonparametric #eta2 #ordinal

https://easystats.github.io/effectsize/articles/anovaES.html

Effect Sizes for ANOVAs