2019 AOM Symposium
Why We All Should Be Bayesians: An Introduction to Bayesian Studies
Tuesday, August 13th 2019 at 3:00 - 4:30 pm
Westin Copley Place Boston in Helicon
William H. Starbuck, U. of Oregon
Andreas Schwab, Iowa State U.
David Krackhardt, Carnegie Mellon U.
The purpose of this symposium is to introduce management researchers to the opportunities of Bayesian statistics for empirical research in the management sciences. We will outline the fundamental features of the Bayesian method without delving into the mathematical details. Instead, we will outline the conceptual differences and potential advantages of a Bayesian approach compared to traditional statistical analyses involving null-hypothesis statistical significance tests. We will then introduce an illustrative example from empirical management research that illustrates opportunities for the useful application of Bayesian data analysis and introduces participants on how to interpret the outcomes of Bayesian analyses for causal inference. Finally, we will discuss why in spite of strong arguments supporting the use of Bayesian statistics, the field of management research has been very reluctant considering Bayesian analysis as an alternative and how management scholars can support related methodological change efforts. The purpose of this symposium is to convince participants of the potential opportunities Bayesian methods can provide and to motivate organizational researchers to consider Bayesian statistics as an alternative in future research.
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