Teaching

Current Courses

PSC 200: Empirical Political Science

Focuses on the methodological underpinnings of political science research. Includes a through discussion of how to make and critique arguments for causal claims and a basic, intuitive discussion of regression models and statistical inference.

PSC 631: Advanced Methods

Examines many extensions to the normal-linear model, focusing mainly on maximum likelihood estimation. Includes discussion of linking statistical models and substantive theory, estimating a range of statistical models, working with the inferences, generating confidence intervals to reflect the uncertainty in the point estimates of interest, and creating nice graphics to make your points in a compelling and honest manner.

Previous Courses

PSC 101: Introduction to American Politics

Examines the theoretical and methodological underpinnings of the political science subfield of American politics. Includes discussions of voter turnout, negative campaign advertising, party competition, representation, and the president's ability to impact policy.

PSC 103: Introduction to Comparative Politics

Focuses on examining the theoretical and methodological underpinnings of the political science subfield of comparative politics. Includes discussion of democratization, executives, elections, and electoral institutions.

PSC 531: The Linear Model

Examines the normal-linear model in detail, as well as some of its variants. Includes discussion of linking statistical models and substantive theory, estimating normal linear regression models, working with the inferences, generating confidence intervals to reflect the uncertainty in the point estimates of interest, and creating nice graphics to make your points in a compelling and honest manner.

Guest Lectures on Hierarchical Models

Covers the key ideas of hierarchical modeling, including some discussion of Bayesian prior distributions. Focused on the theoretical intuition, computer implementation (including WinBUGS/JAGS), and presentation of results.