Retract 0.005 and propose using JASP, instead

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dc.contributor.authorPerezgonzalez JD
dc.contributor.authorFrias-Navarro MD
dc.date.accessioned2023-10-19T20:38:18Z
dc.date.available2017-11-29
dc.date.available2023-10-19T20:38:18Z
dc.date.issued2017-11-29
dc.description.abstractSeeking 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.
dc.identifierhttps://psyarxiv.com/t2fn8/
dc.identifier.citation2017
dc.identifier.doi10.17605/OSF.IO/T2FN8
dc.identifier.elements-id397045
dc.identifier.harvestedMassey_Dark
dc.identifier.urihttp://hdl.handle.net/10179/20257
dc.publisherF1000 Research Ltd
dc.publisher.urihttps://psyarxiv.com/t2fn8/
dc.relation.urihttps://psyarxiv.com/t2fn8/
dc.subjectReplicability
dc.subjectp-value
dc.subjecttests of significance
dc.subjectBayes factor
dc.subjectstatistics
dc.titleRetract 0.005 and propose using JASP, instead
dc.typeJournal article
pubs.notesNot known
pubs.organisational-group/Massey University
pubs.organisational-group/Massey University/Massey Business School
pubs.organisational-group/Massey University/Massey Business School/School of Aviation
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