Data analysis II

4.0 credits

"This course builds on PSCI 200, Data Analysis I, taking the linear regression model as its starting point. We will explore various statistical techniques for analyzing a world of data that is relevant to political science in particular, and to the social sciences more broadly. In addition to the classical linear regression model, we will examine models for binary data, durations, counts, censoring and truncation, self-selection, and discrete choice, among others. These models will be applied to topics such as international conflict, civil war onset, parliamentary cabinet survival, international sanctions, campaign contributions, and voting. Students will be taught how to (1) frame research hypotheses, (2) analyze data using the appropriate statistical model, and (3) interpret and present their results. Statistical analysis will be conducted using R and RStudio.