Quantitative Methods I

This is the first class in sociology's required two-course graduate quantitative methods sequence. This course is designed to help sociology PhD students develop a strong base in statistical methods. Starting from basic math, students will build up a foundation for linear regression and its application to causal inference. Students will also learn how to use STATA to conduct replicable and reliable analyses. The course is focused on the tools needed to do research as a PhD-level sociologist and draws examples from across the social sciences. Students can take this course both as a introductory course in linear regression or as a deeper dive into regression than what is learned in a typical undergraduate statistics sequence.
Course Attributes:

Quantitative Methods I

SOCIOLOGY 5050

Section 01