Emil O W Kirkegaard

R2 is not a good effect size measure, but none of these arguments should convince anyone. http://data.library.virginia.edu/is-r-squared-useless/ …

if pretty much all effect size measures can be calculated/translated into one another (given the same deisng), what makes one 'bad'?

E.g. if interpretation is prone to error/unintuitive.

Ahh, so it's not the metric in and of itself but more interpretation? Similar to h2 then, not an error with the metric but interpretation.

H2 is a variance type metric, actually. You can and in some cases should convert to correlation-type metric.