ENTSP 6200GX: Special Topics: Bayesian Analysis in Management and Entrepreneurship Research
(Cross-listed with MGMT 6200GX).
Credits: 1. Contact Hours: Lecture 3.
Provides a deeper understanding of research methodology. Introduces the fundamental concepts of Bayesian statistics as an advanced methodology to empirically investigate entrepreneurship and management phenome. Analytical topics include Bayes theorem, prior specification, likelihood functions, Markov Chain Monte Carlo simulations, analysis diagnostics, and posterior distributions. Application topics include Bayesian point estimates, intervals, predictions and hypothesis tests. Contrasts Bayesian approaches with frequentist paradigms such as statistical null-hypothesis significance tests. Designed to complement knowledge of MGMT 6090 Organizational Research Methods. Focus on exercises and discussions regarding how to collect, analyze and interpret empirical data to develop and advance micro- and macro-level theories in management and entrepreneurship. (Typically Offered: Fall)