STATISTICS FOR SOCIOLOGISTS III
Generalized linear models with selected applications to social science data. Topics: Review of multiple regression; properties of estimators; general linear restrictions; instrumental variables; two-stage least squares; panel data; fixed and random effects; logit, probit, and related models.
Topics
- Review of multiple regression
- properties of estimators
- general linear restrictions
- instrumental variables
- two-stage least squares
- panel data
- fixed and random effects
- logit
- probit
- and related models
Topics explicitly listed in official catalogue description
Prerequisites & course information
Requisites: C&E SOC/SOC 361 , STAT 302, ECON 400 , 410 , MATH/STAT 309 , or graduate/professional standing Course Designation: Core GenEd - Natural Science & Wellness + Lab Level - Advanced L&S Credit - L&S Liberal Arts and Science Grad 50% - Counts toward 50% graduate coursework requirement Honors - Accelerated Honors (!) Repeatable for Credit: No Last Taught: Spring 2026 Learning Outcomes: 1. Recognize what statistical techniques are appropriate to extract answers for common sociological questions from data in a variety of realistic scenarios. Audience: Both Grad & Undergrad 2. Acquire the necessary tools to become critical readers of the majority of quantitative research in sociology. Audience: Both Grad & Undergrad 3. Use skills to execute quantitative empirical research and decide which specialized course they should take next in order to participate at the research frontier. Audience: Graduate Learning Outcomes: 1. Recognize what statistical techniques are appropriate to extract answers for common sociological questions from data in a variety of realistic scenarios. Audience: Both Grad & Undergrad 2. Acquire the necessary tools to become critical readers of the majority of quantitative research in sociology. Audience: Both Grad & Undergrad 3. Use skills to execute quantitative empirical research and decide which specialized course they should take next in order to participate at the research frontier. Audience: Graduate
Sources
- Course catalogue ↗2026-2027