Retract p < 0.005 and propose using JASP, instead
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Date
2017-12-12
Open Access Location
Authors
Journal Title
Journal ISSN
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Publisher
F1000Research
Rights
Copyright: © 2017 Perezgonzalez JD and Frías-Navarro MD. This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
Seeking to address the lack of research reproducibility in science, including psychology and the life sciences, a pragmatic solution has been raised recently: to use a stricter p < 0.005 standard for statistical significance when claiming evidence of new discoveries. Notwithstanding its potential impact, the proposal has motivated a large mass of authors to dispute it from different philosophical and methodological angles. This article reflects on the original argument and the consequent counterarguments, and concludes with a simpler and better-suited alternative that the authors of the proposal knew about and, perhaps, should have made from their Jeffresian perspective: to use a Bayes factors analysis in parallel (e.g., via JASP) in order to learn more about frequentist error statistics and about Bayesian prior and posterior beliefs without having to mix inconsistent research philosophies.
Description
Keywords
practical significance, statistical significance, research evidence, p-values, Bayes factors, reproducibility, replicability
Citation
F1000Research, 2017, 6