Bayesian Estimation and Inference

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Journal of Management http://jom.sagepub.com/ Bayesian Estimation and Inference: A User's Guide Michael J. Zyphur and Frederick L. Oswald Journal of Management published online 11 August 2013 DOI: 10.1177/0149206313501200 The online version of this article can be found at: http://jom.sagepub.com/content/early/2013/08/11/0149206313501200 Published by: http://www.sagepublications.com On behalf of: Southern Management Association Additional services and information for Journal of Management can be found at: Email Alerts: http://jom.sagepub.com/cgi/alerts Subscriptions: http://jom.sagepub.com/subscriptions Reprints: http://www.sagepub.com/journalsReprints.nav Permissions: http://www.sagepub.com/journalsPermissions.nav >> OnlineFirst Version of Record - Aug 11, 2013 What is This? Downloaded from jom.sagepub.com by guest on August 20, 2013 501200 research-article2013 JOMXXX10.1177/0149206313501200Journal of Management / Month XXXXZyphur, Oswald / Bayesian Estimation and Inference Special Issue: Bayesian Probability and Statistics in Management Research: A New Horizon Journal of Management Vol. XX No. X, Month XXXX 1–31 DOI: 10.1177/0149206313501200 © The Author(s) 2013 Reprints and permissions: sagepub.com/journalsPermissions.nav Guest Editorial Bayesian Estimation and Inference: A User’s Guide Michael J. Zyphur University of Melbourne Frederick L. Oswald Rice University This paper introduces the “Bayesian revolution” that is sweeping across multiple disciplines but has yet to gain a foothold in organizational research. The foundations of Bayesian estimation and inference are first reviewed. Then, two empirical examples are provided to show how Bayesian methods can overcome limitations of frequentist methods: (a) a structural equation model of testosterone’s effect on status in teams, where a Bayesian approach allows
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