You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Including Generalized Eta Squared in the output for ezANOVA is really great for getting people to start looking at effect sizes and not just p-values. But we should also consider what the confidence interval for effect size looks like. Would it be possible to include the CI in the output for detailed=TRUE? There's a blog post on doing this in R here.
The text was updated successfully, but these errors were encountered:
Interesting idea. I'm not familiar enough to know whether there is an analytic solution to deriving a CI for the generalized eta square provided by ezANOVA; the post you link discusses a CI for regular ol' eta square.
The general impression I'm getting from the literature I've been skimming the last few days is that an anayltic solution may not be known. I'll keep looking for one. Maybe some derivation from the CIs for regular eta square.
It still might make sense to include the bootstrapped CI elsewhere. Perhaps in some further helper function? I'm not sure what would be the best from an API perspective.
Including Generalized Eta Squared in the output for
ezANOVA
is really great for getting people to start looking at effect sizes and not just p-values. But we should also consider what the confidence interval for effect size looks like. Would it be possible to include the CI in the output fordetailed=TRUE
? There's a blog post on doing this in R here.The text was updated successfully, but these errors were encountered: