The need for Bayesian hypothesis testing in psychological science

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Indices of Effect Existence and Significance in the Bayesian Framework (2019, background): “In response, there is an increasing belief that the generalization and utilization of the Bayesian framework is one way of overcoming these issues (Maxwell et al., 2015; Etz and Vandekerckhove, 2016; Marasini et al., 2016; Wagenmakers et al., 2017; Benjamin et al., 2018; Halsey, 2019).”
Harold Jeffreys’s default Bayes factor hypothesis tests: Explanation, extension, and application in psychology (2016, methodology): “…between parsimony and goodness-of-fit,2 thereby safeguarding the researcher against overfitting the data and preferring models that are3 good at describing the obtained data, but poor at generalizing and prediction (Myung, Forster,4 & Browne, 2000; Myung & Pitt, 1997; Wagenmakers & Waldorp, 2006).”