This is an in-person workshop event with a break for lunch from 12:15-1:15PM.
RSVP here: https://forms.office.com/r/CQL3wUHtj6

An introduction to Bayesian inference for hypothesis testing and effect size estimation

Bayesian inference has been receiving widespread attention in recent years in psychology. The main reason behind this may be a growing dissatisfaction with classical null hypothesis significance testing (NHST) and the p-value. Null hypothesis Bayesian testing (NHBT) and its Bayes factor (the "Bayesian p-value") are now often referred to as worthy replacements for NHST and the p-value. In this workshop we offer a gentle introduction to the Bayes factor. Furthermore, we will emphasize that, just as NHST needs to be accompanied by effect size estimates, so does NHBT. And it so happens that the latter seamlessly leads back to Bayesian alternatives to the Bayes factor that allow to test research hypotheses of interest. The workshop will comprise both theoretical expositions as well as practical components (including interactive live polling, using JASP, and using a Shiny app that we developed aimed at learning about the Bayes factor).

This lecture is made possible in part by a generous endowment from Professor Allen L. Edwards.

Lunch and snacks will be provided.