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.
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 the construction and analysis of panel data and social network studies. 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.
Background knowledge required
OLS = m
Stata = e
e = elementary, m = moderate, s = strong