The last 25 years have shown a steady increase in attention for the Bayes factor as a tool for
hypothesis evaluation and model selection. The present review highlights the potential of …

We discuss hypothesis testing and compare different theories in light of observed or
experimental data as fundamental endeavors in the sciences. Issues associated with the p …

The R package BGGM provides tools for making Bayesian inference in Gaussian graphical
models (GGM). The methods are organized around two general approaches for Bayesian …

Statistical lesion-symptom map** is largely dominated by frequentist approaches with null
hypothesis significance testing. They are popular for map** functional brain anatomy but …

Abstract Protein Energy Malnutrition (PEM) has lifelong consequences on brain
development and cognitive function. We studied the lifelong developmental trajectories of …

Tendeiro and Kiers (2019) provide a detailed and scholarly critique of Null Hypothesis
Bayesian Testing (NHBT) and its central component—the Bayes factor—that allows …

In management research, fixed alpha levels in statistical testing are ubiquitous. However, in
highly powered studies, they can lead to Lindley's paradox, a situation where the null …

To establish a theory one needs cleverly designed and well-executed studies with
appropriate and correctly interpreted statistical analyses. Equally important, one also needs …

Background and aims Black adults who smoke are less likely to seek treatment and to
succeed in quitting compared with other racial groups. The lack of efficacious and engaging …

The present study examines employees' prior victimization from bullying in school or at work
as a predictor of 1) their current exposure to negative social acts at work and 2) the …