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We will go through the first half of the book, Regression and Other Stories, by Andrew Gelman, Jennifer Hill, and Aki Vehtari (Cambridge University Press). There is a follow-up course, Principles of Quantitative Political Research 2 (POLS 4712), which covers the second half of the book, including logistic regression, generalized linear models, poststratification, design of studies, and causal inference. Topics covered in the course include: • Applied regression: measurement, data visualization, modeling and inference, transformations, and linear regression. • Simulation, model fitting, and programming in R. • Key statistical problems include adjusting for differences between sample and population, adjusting for differences between treatment and control groups, extrapolating from past to future, and using observed data to learn about latent constructs of interest. • We focus on social science applications, including but not limited to: public opinion and voting, economic and social behavior, and policy analysis