The RM, BPS, OB and ENT Divisions will sponsor the following event during the 2017 AOM Conference:
PDW Workshop
Program Session: 308 | Submission: 14239 | Sponsor(s): (RM, BPS, OB, ENT)
Scheduled: Saturday, Aug 5 2017 10:15AM - 12:45PM at Hilton Atlanta in Room 223
Bayesian Statistics: How to Conduct and Publish High-Quality Bayesian Studies
Presenter: David Krackhardt, Carnegie Mellon U.
Presenter: Eugene Hahn, Salisbury U.
Presenter: Andreas Schwab, Iowa State U.
Presenter: William R. Stromeyer, Rochester Institute of Technology
Presenter: Jerker C. Denrell, U. of Warwick
Presenter: William H. Starbuck, U. of Oregon
This workshop introduces management researchers to the opportunities of Bayesian statistics for empirical management research and provides guidance on how to execute high-quality Bayesian studies. A secondary objective is to develop a platform for knowledge transfer between researchers engaged in Bayesian research. The workshop will cover the following topics: (1) Fundamental conceptual nature and potential advantages of Bayesian approaches compared to statistical significance tests; (2) Steps of a Bayesian data analysis and interpretation of generated results for causal inference; (3) How to develop meaningful prior distributions; (4) How to use algebraic approaches and Markov- Chain Monte Carlo simulations to estimate Bayesian posterior distributions; (5) Bayesian inference and Structural Equation Modeling; (6) How to communicate Bayesian analyses and results in research manuscripts and (7) How management scholars can support the more extensive use of Bayesian statistics in the field of management research. This workshop also intends to support community-building efforts among Bayesian researchers. For this purpose, we have already created an internet platform to distribute presentation material, provide links to additional helpful publications and other sources (https://sites.google.com/site/bayesianresearch/). In the end, this workshop will enable and inform participants on how to better incorporate advanced Bayesian statistics in their future research.
Search Terms: Bayesian Analysis | Empirical Theory Testing | Methodological Change
Mailed on behalf of the organizing team by
Andreas Schwab
Associate Professor and Dean's Fellow in Management
Management Department
3315 Gerdin Business Building
Ames, IA 50011-1350
Phone: +1-515-294 -8119
Skype: andreas.schwab9
Email: aschwab@iastate.edu
Academic Profile: http://www.business.iastate.edu/faculty/?faculty=aschwab
Research Gate: https://www.researchgate.net/profile/Andreas_Schwab2/publications
Google Scholar: http://scholar.google.com/citations?user=mJbkmOMAAAAJ