Statistical Analysis of Social Data: Applied Regression Methods I (401-1-20)
Topic
Linear Regression
Instructors
Christine Marie Percheski
1812 Chicago Avenue, Rm. 208
Professor Christine Percheski (PhD, Princeton University) is an associate professor in Sociology and a faculty fellow at the Institute for Policy Research. Professor Percheski is enthusiastic about teaching courses on families, demography, gender, health, and research methods. Her research considers how changes in women and men¿s employment and family life have affected social and economic inequalities in the United States and other industrialized countries.
Meeting Info
Locy Hall 110: Tues, Thurs 3:30PM - 4:50PM
Overview of class
This course is part of the quantitative methods sequence for graduate students in sociology. The main topic of the course is the theory and practice of linear regression analysis. We will cover multiple ordinary least squares regression, regression assumptions, regression diagnostics, basic path models, data transformations, and issues in causal inference. If time permits, we may discuss other regression-based topics such as fixed and random effects models, instrumental variables, and regression discontinuity.
Registration Requirements
Course is open to Sociology graduate students. Anyone who falls outside of this description should contact the instructor for consent to enroll.
Learning Objectives
By the conclusion of the course, students are expected to be able to:
1) Explain what types of questions are appropriately answered using linear regression models, the assumptions of linear regression models, and common violations of these assumptions.
2) Teach an introductory level undergraduate class session on regression models.
3) Evaluate and critique the use of linear regression models in social science research.
4) Conduct a competent analysis of secondary quantitative data using linear regression.
5) Write about the results from a linear regression analysis in a style appropriate for publication in a sociology journal with all technical terms used correctly.
Teaching Method
Lecture
Class Materials (Required)
"Fox, John. 2015. Applied Regression Analysis and Generalized Linear Models 3rd Edition. Sage Press.
Allison, Paul. 1999. Multiple Regression: A Primer. Pine Forge Press. Thousand Oaks, CA."
Enrollment Requirements
Enrollment Requirements: Sociology/MORS PhD Students
Associated Classes
LAB - Locy Hall 110: Mon 2:00PM - 3:00PM