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Putting the P-Value in its Place
Authors:Joachim I Krueger  Patrick R Heck
Institution:1. Department of Cognitive, Linguistic, &2. Psychological Sciences, Brown University, Providence, RIJoachim@brown.edu;4. Geisinger Health System, Danville, PAORCID Iconhttps://orcid.org/0000-0003-0819-3890
Abstract:ABSTRACT

As the debate over best statistical practices continues in academic journals, conferences, and the blogosphere, working researchers (e.g., psychologists) need to figure out how much time and effort to invest in attending to experts' arguments, how to design their next project, and how to craft a sustainable long-term strategy for data analysis and inference. The present special issue of The American Statistician promises help. In this article, we offer a modest proposal for a continued and informed use of the conventional p-value without the pitfalls of statistical rituals. Other statistical indices should complement reporting, and extra-statistical (e.g., theoretical) judgments ought to be made with care and clarity.
Keywords:Bayes' theorem  Inference  Null hypotheses  p-values  Statistical significance testing
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