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Anastasi Lecture 2019

The Bayesian Revolution, And Why You Should Care

David Kaplan, Ph.D.
Patricia Busk Professor of Quantitative Methods, Department of Educational Psychology, University of Wisconsin – Madison

Tuesday October 29 | 5:30 p.m.
12th-floor Lounge | Lowenstein Center | Fordham University Lincoln Center Campus | 30 West 60th Street | New York, NY 10023

Bayesian statistics has long been overlooked in the training of social and behavioral scientists. Bayesian statistics were considered controversial and, until recently, it was not feasible to conduct Bayesian statistical modeling because of its complexity and lack of software. Recently, there has been great interest in the application of Bayesian methods, due to the availability of powerful (and free) statistical software tools that now make it possible to estimate simple or complex models. This talk provides a conceptual introduction to Bayesian statistics with a focus on its advantages over conventional statistics, particularly with respect to characterizing uncertainty and addressing the so-called “p-value problem”.

David Kaplan is the Patricia Busk Professor of Quantitative Methods in the Department of Educational Psychology at the University of Wisconsin – Madison.  His research focuses on the development of Bayesian statistical methods for education research, and is directed toward applications to large-scale cross-sectional and longitudinal survey designs.