Retract p < 0.005 and propose using JASP, instead [version 2; referees: 3 approved]

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 potentia...

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Main Authors: Jose D. Perezgonzalez, M. Dolores Frías-Navarro
Format: Article
Language:English
Published: F1000 Research Ltd 2018-02-01
Series:F1000Research
Subjects:
Online Access:https://f1000research.com/articles/6-2122/v2
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author Jose D. Perezgonzalez
M. Dolores Frías-Navarro
author_facet Jose D. Perezgonzalez
M. Dolores Frías-Navarro
author_sort Jose D. Perezgonzalez
collection DOAJ
description 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.
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spelling doaj.art-b338a2aa3bb347f9a5c74e8b1c608ce82022-12-22T00:04:51ZengF1000 Research LtdF1000Research2046-14022018-02-01610.12688/f1000research.13389.214775Retract p < 0.005 and propose using JASP, instead [version 2; referees: 3 approved]Jose D. Perezgonzalez0M. Dolores Frías-Navarro1Business School, Massey University, Manawatu Campus,P.O.Box 11-222, Palmerston North , 4442, New ZealandDepartment of Methodology of the Behavioural Sciences, Faculty of Psychology, University of Valencia, Avenida Blasco Ibañez 21, Valencia, 46010, SpainSeeking 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.https://f1000research.com/articles/6-2122/v2Data Sharing
spellingShingle Jose D. Perezgonzalez
M. Dolores Frías-Navarro
Retract p < 0.005 and propose using JASP, instead [version 2; referees: 3 approved]
F1000Research
Data Sharing
title Retract p < 0.005 and propose using JASP, instead [version 2; referees: 3 approved]
title_full Retract p < 0.005 and propose using JASP, instead [version 2; referees: 3 approved]
title_fullStr Retract p < 0.005 and propose using JASP, instead [version 2; referees: 3 approved]
title_full_unstemmed Retract p < 0.005 and propose using JASP, instead [version 2; referees: 3 approved]
title_short Retract p < 0.005 and propose using JASP, instead [version 2; referees: 3 approved]
title_sort retract p 0 005 and propose using jasp instead version 2 referees 3 approved
topic Data Sharing
url https://f1000research.com/articles/6-2122/v2
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AT mdoloresfriasnavarro retractp0005andproposeusingjaspinsteadversion2referees3approved