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Some problems with zooming out as scientific reform
Published online by Cambridge University Press: 05 February 2024
Abstract
Integrative experimentation will improve on the status quo in empirical behavioral science. However, the results integrative experiments produce will remain conditional on the various assumptions used to produce them. Without a theory of interpretability, it remains unclear how viable it is to address the crud factor without sacrificing explainability.
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- Open Peer Commentary
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- Copyright © The Author(s), 2024. Published by Cambridge University Press
References
Bryan, C. J., Tipton, E., & Yeager, D. S. (2021). Behavioural science is unlikely to change the world without a heterogeneity revolution. Nature Human Behaviour, 5(8), 980–989.CrossRefGoogle ScholarPubMed
Devezer, B., Navarro, D. J., Vandekerckhove, J., & Ozge Buzbas, E. (2021). The case for formal methodology in scientific reform. Royal Society Open Science, 8(3), 200805.CrossRefGoogle ScholarPubMed
Fiedler, K. (2017). What constitutes strong psychological science? The (neglected) role of diagnosticity and a priori theorizing. Perspectives on Psychological Science, 12(1), 46–61.CrossRefGoogle Scholar
Meehl, P. E. (1990). Why summaries of research on psychological theories are often uninterpretable. Psychological Reports, 66(1), 195–244.CrossRefGoogle Scholar
Muthukrishna, M., & Henrich, J. (2019). A problem in theory. Nature Human Behaviour, 3(3), 221–229.CrossRefGoogle ScholarPubMed
Oberauer, K., & Lewandowsky, S. (2019). Addressing the theory crisis in psychology. Psychonomic Bulletin & Review, 26, 1596–1618.CrossRefGoogle ScholarPubMed
Steegen, S., Tuerlinckx, F., Gelman, A., & Vanpaemel, W. (2016). Increasing transparency through a multiverse analysis. Perspectives on Psychological Science, 11(5), 702–712.CrossRefGoogle ScholarPubMed
Yarkoni, T., & Westfall, J. (2017). Choosing prediction over explanation in psychology: Lessons from machine learning. Perspectives on Psychological Science, 12(6), 1100–1122.CrossRefGoogle ScholarPubMed
Target article
Beyond playing 20 questions with nature: Integrative experiment design in the social and behavioral sciences
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