Yanna Krupnikov integrates psychology and political science in order to identify points at which new information can have the most profound effect on the way people form political opinions, make political choices, and, ultimately, take political actions. Some of her research, which has been recently published in a book, argues that political independents really aren’t independent but are ashamed of both parties and so choose to claim independence rather than associate with Republicans or Democrats.

Course Content
This course will focus on advanced topics in survey design and analysis. Topics covered include different approaches to sampling, the effects of survey mode, and tools for analyzing and enriching survey data, including approaches to conducting surveys on sensitive topics, measurement of reported behavior as well as social network studies. The course will also focus on designing and analyzing survey experiments and current debates about the use of varying samples in these 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 can also pose questions about their own ongoing survey research and data projects.

Course Prerequisites
Course participants should have some familiarity with Stata. Participants should be comfortable with descriptive statistics and should have at least some familiarity with OLS regression.

Background knowledge required
OLS = moderate

Computer Background
Stata = moderate

Day 1: Survey Basics and Design

Day 2: Sampling and Weights

Day 3: Limited Dependent Variables

Day 4: Item Non-Response

Day 5: Non Parametric

Day 6: Social Network Measures in Surveys

Day 7: Survey Experiments 1 (Design Issues)

Day 8: Survey Experiments 2 (Analysis of More Complex Designs)

Day 9: Moderation and Mediation

Day 10: Item Scaling