Research Interest(s): Causal Inference; Multi-Method Research Design; Inequality and Political Representation; Political Parties; Political Behavior; Emotion and Politics
Program Area(s): Comparative Politics; Methods
Regional Specialization(s): Latin America
Subfield Specialties: Experimental Methods; Feminist and Gender Studies; Political Parties; Public Opinion, Political Communication, and Political Participation
Dr. Seawright is involved in ongoing research projects about multi-method research designs for causal inference; about the link between class and gender inequality and unequal political representation; and about how dynamics of political psychology and organization shape party-system change. He has a special research interest in the politics of the Andean countries of South America.
- “Rival Strategies of Validation: Tools for Evaluating Measures of Democracy” with David Collier. Comparative Political Studies 47 (1), Jan. 2014: 111-38.
- “Democracy and the Policy Preferences of Wealthy Americans” with Benjamin I. Page and Larry M. Bartels. Perspectives on Politics, 2013.
- “Do Electoral Laws Affect Women’s Representation?” with Andrew Roberts and Jennifer Cyr. Comparative Political Studies, 2013.
- “Regression-Based Inference: A Case Study in Failed Causal Assessment.” In Rethinking Social Inquiry: Diverse Tools, Shared Standards, 2nd edition, Henry E. Brady and David Collier, eds. Lanham: Rowman and Littlefield. 2010: 247-71.
- “Political Representation and Class Distortion: The Nexus between Associational Participation and Partisan Politics,” in Ruth Berins Collier and Samuel P. Handlin, eds., Popular Participation and Interest Regimes in Latin America: From Union-Party Hub to Associational Network (University Park: Penn State University Press), 2009.
- “Case-Selection Techniques in Case Study Research: A Menu of Qualitative and Quantitative Options,” with John Gerring, Political Research Quarterly 61:2 Spring 2008, 294-308.
- Political Science 250: Introduction to Comparative Politics
- Political Science 312: Statistical Research Methods