In this first of a two-part series, we learn the basics of running and interpreting a Bayesian data analysis in R. The workshop will center on comparing traditional (Frequentist) statistical analyses to “equivalent” Bayesian approaches. We write equivalent in quotes because as we’ll see they’re not really equivalent. For example, a research question that would traditionally call for a t-test requires a different approach using Bayesian statistics. The workshop features very little math and emphasizes application. It is intended for all audiences! However some basic experience using R and some memory of an Introductory stats course will be helpful.

Our policy is that we do not record live workshops in order to encourage robust Q&A. However, you can always find the full workshop materials for all of our workshops at: https://library.virginia.edu/data/training/past-workshops which allows you to work through the material at your own pace. We also encourage you to reach out to the instructor at any time for a one-on-one consult, and for specific or general questions about any of the topics we cover.