19969: Bayesian Statistics: How to Conduct and Publish High-Quality Bayesian Studies

This workshop introduces the opportunities of Bayesian statistics for empirical management research and provides guidance on how to execute high-quality Bayesian studies. The workshop will cover the following topics: (1) Fundamental conceptual nature and potential advantages of Bayesian approaches compared to statistical significance tests; (2) Step-by-step execution of a Bayesian study and comparison to a regression analysis; (3) Function and value of prior distributions in Bayesian analyses; (4) Estimation of Bayesian posterior distributions with Markov-Chain Monte Carlo simulations using available software solutions; and (5) Communication of Bayesian analyses and results in research manuscripts. A secondary objective of this workshop is to provide a platform for knowledge transfer between researchers engaged in Bayesian research and support related community-building efforts. For this purpose, we have already created internet platforms to distribute presentation material and provide links to additional readings and other resources. In the end, this workshop will enable and inform participants on how to better incorporate advanced Bayesian statistics in their future research.