Random effects won’t solve the problem of generalizability


Yarkoni argues that researchers making broad inferences often use impoverished statistical models that fail to include important sources of variation as random effects. We argue, however, that for many common study designs random effects are inappropriate and insufficient to draw general inferences, as the source of variation is not random, but systematic.

Behavioral and Brain Sciences
Adam Bear
Research/Data Scientist