Quantitative Methods II

This is the second course in the Department of Sociology's required two-course graduate quantitative methods sequence. This course is designed to assist sociology PhD students in understanding statistical methods with the goal of conducting independent and original quantitative research. Building on the first course of the graduate program's quantitative methods sequence, students will focus on extensions of standard linear regression models, including models for binary and categorical outcomes and analysis of panel data. Good quantitative social science research requires not only understanding statistical methods but also training in how to manage data and code, assess the robustness of results, connect theory and statistical practice, and interpret findings. The course emphasizes both understanding statistical methods and applying those methods in empirical research. Prerequisites: graduate standing and either successful completion of SOC 5050 - OR - consent of the instructor. Priority enrollment will be given to first- and second-year Sociology graduate students.
Course Attributes:

Quantitative Methods II

SOCIOLOGY 5051

Section 01