1. The Bayesian methodology of Sir Harold Jeffreys as a practical alternative to the p value hypothesis test
- Author
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Alexander Ly, Dora Matzke, A. Raj, Koen Derks, Maarten Marsman, D. van den Bergh, Quentin Frederik Gronau, Angelika Stefan, Udo Boehm, J. van Doorn, Eric-Jan Wagenmakers, Šimon Kucharský, Alexandra Sarafoglou, E.-J. van Kesteren, Max Hinne, Fabian Dablander, Psychologische Methodenleer (Psychologie, FMG), and Psychology Other Research (FMG)
- Subjects
Computer science ,Management science ,Bayesian probability ,bepress|Social and Behavioral Sciences|Psychology|Quantitative Psychology ,Bayes factor ,Cognitive artificial intelligence ,Test (assessment) ,PsyArXiv|Social and Behavioral Sciences ,Neuropsychology and Physiological Psychology ,Order (exchange) ,bepress|Social and Behavioral Sciences ,Developmental and Educational Psychology ,PsyArXiv|Social and Behavioral Sciences|Quantitative Methods|Statistical Methods ,Relevance (law) ,PsyArXiv|Social and Behavioral Sciences|Quantitative Methods ,p-value ,Research question ,Statistical hypothesis testing - Abstract
Contains fulltext : 226717.pdf (Publisher’s version ) (Closed access) Despite an ongoing stream of lamentations, many empirical disciplines still treat the p value as the sole arbiter to separate the scientific wheat from the chaff. The continued reign of the p value is arguably due in part to a perceived lack of workable alternatives. In order to be workable, any alternative methodology must be (1) relevant: it has to address the practitioners' research question, which - for better or for worse- most often concerns the test of a hypothesis, and less often concerns the estimation of a parameter; (2) available: it must have a concrete implementation for practitioners' statistical workhorses such as the t test, regression, and ANOVA; and (3) easy to use: methods that demand practitioners switch to the theoreticians' programming tools will face an uphill struggle for adoption. The above desiderata are fulfilled by Harold Jeffreys's Bayes factor methodology as implemented in the open-source software JASP. We explain Jeffreys's methodology and showcase its practical relevance with two examples. 9 p.
- Published
- 2020