Cambridge Handbook of Experimental Political Science

Laboratory experiments, survey experiments, and field experiments occupy a central and growing place in the discipline of political science. The Cambridge Handbook of Experimental Political Science is the first text to provide a comprehensive overview of how experimental research is transforming the field. Some chapters explain and define core concepts in experimental design and analysis. Other chapters provide an intellectual history of the experimental movement. Throughout the book, leading scholars review groundbreaking research and explain, in personal terms, the growing influence of experimental political science. The Cambridge Handbook of Experimental Political Science provides a collection of insights that can be found nowhere else. Its topics are of interest not just to researchers who are conducting experiments today, but also to researchers who think that experiments can help them make new and important discoveries in political science and beyond.

James N. Druckman is Payson S. Wild Professor of Political Science at Northwestern University. He has published articles in journals such as the American Political Science Review, the American Journal of Political Science and the Journal of Politics. He currently is the editor of Public Opinion Quarterly. Professor Druckman's research focuses on political preference formation and communication, and his recent work examines how citizens make political, economic and social decisions in various contexts.

Donald P. Green is A. Whitney Griswold Professor of Political Science at Yale University. He is the author of four books and several dozen articles on a wide array of topics, including partisanship, campaign finance, voting and prejudice. Since 1998, his work has focused on the design, implementation and analysis of field experiments.

James H. Kuklinski is Matthew T. McClure Professor of Political Science at the University of Illinois, Urbana-Champaign. His interests include citizen decision-making and the formulation of experimental designs that generate more accurate inferences about the external world than the traditional random assignment experiment.

Arthur Lupia is Hal R. Varian Professor of Political Science at the University of Michigan. He studies politics with a focus on how people make decisions when they lack information. Professor Lupia co-founded TESS (Time-Sharing Experiments for the Social Sciences) and served as Principal Investigator of the American National Election Studies.