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AOM Symposium "Bayesian Statistics: Why We All Should Be Bayesians"

  • 1.  AOM Symposium "Bayesian Statistics: Why We All Should Be Bayesians"

    Posted 07-21-2017 00:52

    The RM, OMT, and OB Divisions will sponsor the following event during the 2017 AOM Conference:

     

    Symposium

    Program Session: 1035 | Submission: 15147 | Sponsor(s): (RM, OMT, OB)

    Scheduled: Monday, Aug 7 2017 9:45AM - 11:15AM at Hilton Atlanta in Room 220

     

    Bayesian Statistics: Why We All Should Be Bayesians

     

    Presenter: Andreas Schwab, Iowa State U.

    Presenter: David Krackhardt, Carnegie Mellon U.

    Presenter: William H. Starbuck, U. of Oregon

     

    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 significance tests. We will then introduce several illustrative examples from empirical management research that illustrates opportunities for the useful application of Bayesian data analysis and introduce 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.

    Search Terms: Bayesian Analyses | Empirical Theory Testing | Methodological Change

     

    Presentations:

    • Advantages of Bayesian Statistics

                   David Krackhardt, Carnegie Mellon U.

    • Examples for Useful Applications of Bayesian Statistics in Management Research

                   Andreas Schwab, Iowa State U.

    • Bayesian Statistics and Methodological Change

                   William H. Starbuck, U. of Oregon

     

    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

     

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