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Daniel Bolt is the Nancy C. Hoefs-Bascom Professor in the Quantitative Methods Area of the Department of Educational Psychology at the University of Wisconsin-Madison. His research specializes in quantitative methods, focusing on methodological research related to the application of psychometric methods across educational, social, and health sciences. His research encompasses the application of latent variable models for measurement validation, computational methods, and novel item formats in computer-based testing. Bolt's recent interests delve into the intersection of educational data science and psychometrics. He has published extensively in prominent journals such as the British Journal of Mathematical and Statistical Psychology, Journal of Educational and Behavioral Statistics, and Psychometrika. In addition to his methodological work, he collaborates on research projects in social and health sciences as a biostatistician at the Waisman Center. Bolt teaches courses on test theory, factor analysis, and hierarchical linear modeling.
University of Wisconsin-Madison • Madison, WI
Teaching and research in the Department of Educational Psychology.
Department: Department of Computer Sciences