A First Steps Guide to the Transition From Null Hypothesis Significance Testing to More Accurate and Informative Bayesian Analyses

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Abstract

This article begins with a brief summary of the problems with null hypothesis significance testing (NHST), followed by a short, nontechnical description of perhaps the most useful NHST alternative, Bayesian methods. Simple R commands and output for Bayesian correlations, regressions, and ANOVA are provided. This is followed by examples of how to describe Bayesian analyses in the Methods and Results sections of articles. The focus is on taking the cautious first steps in a transition away from NHST.

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