Authors
Felipe Romero
University of Groningen
Abstract
Advocates of the self-corrective thesis argue that scientific method will refute false theories and find closer approximations to the truth in the long run. I discuss a contemporary interpretation of this thesis in terms of frequentist statistics in the context of the behavioral sciences. First, I identify experimental replications and systematic aggregation of evidence (meta-analysis) as the self-corrective mechanism. Then, I present a computer simulation study of scientific communities that implement this mechanism to argue that frequentist statistics may converge upon a correct estimate or not depending on the social structure of the community that uses it. Based on this study, I argue that methodological explanations of the “replicability crisis” in psychology are limited and propose an alternative explanation in terms of biases. Finally, I conclude suggesting that scientific self-correction should be understood as an interaction effect between inference methods and social structures.
Keywords Social Epistemology  Replication Crisis  Frequentist Statistics  Computer Simulatioin  Social Structure of Science
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Reprint years 2016
DOI 10.1016/j.shpsa.2016.10.002
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References found in this work BETA

Science, Policy, and the Value-Free Ideal.Heather Douglas - 2009 - University of Pittsburgh Press.

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Citations of this work BETA

Understanding the Replication Crisis as a Base Rate Fallacy.Alexander Bird - 2018 - British Journal for the Philosophy of Science:000-000.
Evaluating Formal Models of Science.Michael Thicke - 2020 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 51 (2):315-335.
Self-Correction in Science: Meta-Analysis, Bias and Social Structure.Justin P. Bruner & Bennett Holman - 2019 - Studies in History and Philosophy of Science Part A 78:93-97.

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