Levy’s research and teaching interests include methodological investigations and applications in psychometrics and statistical modeling, focusing on item response theory, structural equation modeling, Bayesian networks, and Bayesian approaches to inference and modeling.
Levy is co-author of the book, Bayesian Psychometric Modeling (with Robert Mislevy). He has published more than 50 refereed articles in high profile journals in psychology, education, and statistics.
He has served on the editorial boards of several journals and has received awards from the American Educational Research Association, the National Council on Measurement in Education, and the President of the United States. Levy holds a B.A. in Philosophy and a Ph.D. in Measurement, Statistics and Evaluation, both from the University of Maryland.
You can visit his university webpage here.
Applied Bayesian Data Analysis
Bayesian methods have revolutionized statistics over the last quarter of a century. This is not an exaggeration. The appeal of Bayesian statistics is its intuitive basis in making direct probability statements for all assertions, and the ability to blend disparate...View Details
Applied Bayesian Data Analysis: A Second Course
Thursday, December 7 –
Saturday, December 9, 2023
This seminar describes Bayesian approaches, and their attending advantages, in several advanced modeling frameworks, including factor analysis, structural equation models, and multilevel models.View Details