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Description: |
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. Note: Students will need to bring a laptop computer to class with R and RStudio installed. Most tablets will not suffice. Prerequisite: Students must have taken at least one course in statistics that (1) covers probability, confidence intervals, hypothesis tests, and linear regression; and (2) uses R for data analysis -- e.g., ECON 230, PSCI 200, or STAT 212/213/214. Prior courses in calculus or linear algebra are not required. |