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Statistical Analysis of Social Data: Applied Regression Methods II (401-2-20)

Topic

Categorical Regression

Instructors

Lincoln G Quillian
Lincoln Quillian is Professor of Sociology and a Fellow at the Institute for Policy Research. His work focuses on inequality, race and ethnicity, urban sociology, and quantitative methods.

Meeting Info

Parkes Hall 215: Mon, Wed 2:00PM - 3:20PM

Overview of class

This course is part of the quantitative methods sequence for graduate students in sociology. For most of the course, we will focus on regression-like methods for categorical outcomes, notably binary outcomes, ordered outcomes, nominal outcomes, count outcomes, and (if time permits) event outcomes. The course will also include discussion of practical issues in performing statistical analysis of secondary data. I assume that you the enter class either having data at hand to perform an analysis or that you can find data on your own. The major goals of the course are for students (1) to become proficient enough in regression models for categorical variables to understand, explain, and critique its use in articles appearing in sociology journals and (2) to be able to perform a competent analysis of data that is of sufficient quality to appear as an article in a sociology or social science journal. The major assignment for the course will be for students to write a paper that is a data analysis of secondary data. The final paper should be similar to a draft of a publishable article, although there will be some required sections not found in a regular article.

Class Materials (Required)

This course will have required books/other materials.

Most materials will be available online. A book may be required for purchase. Please attend first class before buying any materials for the course.

Class Notes

This course is built upon Sociology 401-1, and thus students are assumed to have knowledge of elementary statistics and multiple linear regression.

Enrollment Requirements

Enrollment Requirements: Sociology/MORS PhD Students Students must have completed or be currently enrolled in SOCIOL 401-1 or have received the intstructors permission to register for this class.

Associated Classes

LAB - University Hall 118: Tues 1:00PM - 1:50PM