"Why are people leaving academia?" Literally this person.

The fucking gall of putting into a review that "you're surprised we didn't care about your points" is absurd, and sorry but you're theory is not the end all be all. Earlier work already covered that honey

Thankfully they're not making me replace all instances of my name with "Author" because I've done that before and...there is no clearer way of signaling who I am than that haha

Ahhh! Thanks - that may potentially prevent getting this manuscript sent back again! :)

I think it depends on how your model is fit to the data. If the ID variable is entered as a predictor like the others in an ANCOVA then it would be a covariate analysis. If the ID is entered as a random, group-level effect in a mixed model I would just say a multilevel analysis.

Ahhhh, okay that might be why, thanks - felt like I was going crazy

Also, I appreciate wanting to know more about different modeling approaches, but in 2025 can we please as a field move past questioning why someone used Bayesian inference? I like maximal random effects structures, and so should you!

This is a cool resource, I'll definitely be sharing!