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The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups
Published on: May 13, 2022
Random effects won't solve the problem of generalizability
Adam Bear1, Jonathan Phillips2
1Department of Psychology, Harvard University, Cambridge, MA02138, USAadambear@fas.harvard.edu; https://adambear.me.
Abstract:
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.
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