schaffner

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.

Course Content
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.

Course Objectives
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 Prerequisites
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.

Day 1: Background on Survey Design and Analysis

Day 2: Models for Analysing Limited Dependent Variables

Day 3: Approaches to Sampling

Day 4: Constructing and Using Design Weights

Day 5: Weighting to Account for Nonresponse Bias

Day 6: Item Scaling

Day 7: Matching Techniques

Day 8: Analyzing Panel Data

Day 9: Survey Experiments (Part 1)

Day 10: Survey Experiments (Part 2)