Brian Schaffner is Professor of Political Science at the University of Massachusetts, Amherst, Faculty Associate at the Institute for Quantitative Social Science at Harvard University, and Director of the UMass Poll. He is also the co-PI for the Cooperative Congressional Election Study in the United States. He previously served as a Program Director for Political Science at the U.S. National Science Foundation. His research focuses on public opinion, campaigns and elections, political parties, and legislative politics. His research has appeared in more than thirty refereed journal articles and several books.
This course will focus on advanced topics in survey design and analysis. Topics covered include different approaches to sampling, how to construct and use survey weights, and tools for analyzing and enriching survey data, including approaches to conducting matching and balancing as well as the construction and analysis of panel data. The course will also focus on designing and analyzing survey experiments.
Participants will gain an advanced understanding of best practices for analysing survey data and designing and analysing survey experiments. Participants will also gain hands-on experience in analysing survey data and constructing and analysing survey experiments. Participants are encouraged to bring survey data that they wish to analyse.
Course participants should have some familiarity with Stata or R statistical software – material will be available in either package. Participants should be comfortable with descriptive statistics and should have at least some familiarity with OLS regression.