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Christine L. Williams, Chair CLA 3.306, Mailcode A1700, Austin, TX 78712 • 512-232-6300

Fall 2009


Unique Days Time Location Instructor
46675 MW
1:00 PM-2:30 PM
BUR 220

Course Description

This course deals with regression models for discrete and categorical dependent variables. Categorical data analysis is appropriate when the dependent variable is measured as a count, or consists of events and trials, or when responses are in the form of binary, ordered, or unordered categories. Regression-like models for discrete and categorical outcomes are widely used in applied research. The methods for estimating and interpreting results from these model are di fferent from those of classical linear regression, however there are many similarities. Students in this course should have some prior exposure to linear regression models. This class serves a wide range of students; the material presented here aims to be useful for students at all levels. Most of the material in the exercises and handouts is based on applied, as opposed to theoretical (i.e., mathematical statistical) problems. In keeping with the applied nature of this course, we will provide examples drawn mainly from sociological and demographic research.


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