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Random effects won't solve the problem of generalizability
Published online by Cambridge University Press: 10 February 2022
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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- Copyright © The Author(s), 2022. Published by Cambridge University Press
References
Strickland, B., & Suben, A. (2012). Experimenter philosophy: The problem of experimenter bias in experimental philosophy. Review of Philosophy and Psychology, 3, 457–467.CrossRefGoogle Scholar
Target article
The generalizability crisis
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