Quantitative Methods
The subfield of quantitative political methodology is relatively new but growing rapidly, influencing the quality of empirical research in every substantive field of the discipline, and making important methodological contributions that transcend disciplinary boundaries. Our methods faculty are actively involved in these exciting developments, publishing in first rate journals in a variety of fields both within and beyond political science, offering widely used public domain statistical software tools, and winning a Gosnell Prize for the best work in political methodology.
Faculty members involved in teaching methods courses include Steve Balla, Eric Lawrence, Jim Lebovic, David Park, Paul Wahlbeck, and Susan Wiley. Their methodological interests cover generalized linear models, discrete and limited dependent variables, maximum likelihood estimation, Bayesian inference, modern statistical learning methods such as neural networks, computational modeling, causal graphs and causal inference, and social networks and random graphs. Substantive interests of the group have spanned American politics, public policy, international relations, political economy, sociology, and public health. In addition, a number of other faculty members have serious research interests in methodological issues, contributing to top methods journals (for example, Bruce Dickson, comparative politics; Forrest Maltzman, American politics; and Chad Rector, international relations).
Faculty
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Eric D. Lawrence James H. Lebovic David Park |
Paul J. Wahlbeck Susan L. Wiley
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