SOC 385K • SOCL STAT: DIS MULTIVAR MODELS
1:00 PM-2:30 PM
This course deals with methods for analyzing categorical data. We will consider categorical explanatory variables within the General Linear Model; models of association among categorical variables; models in which the response variable is categorical or is a count; and the framework known as Generalized Linear Models. Logical similarities across methods for different types of quantitative data will be emphasized. Instruction in Stata will be an important component of the course. The only pre-requisite is Sociology 384L or equivalent. The texts will be An Introduction to Categorical Data Analysis, by Alan Agresti 1996, Wiley, and Statistical Methods for Categorical Data Analysis, by Dan Powers and Yu Xie, 2000, Academic Press. You are expected to buy both texts. Additional references are Regression Models for Categorical and Limited Dependent Variables, by J. Scott Long, 1997, Sage Publications; and Regression Models for Categorical and Limited Dependent Variables with Stata, 2nd edition, by J. Scott Long and Jeremy Freese, 2006, Stata Press. Homework assignments will be due every two weeks. Most problems are to be done with your own data set. You will be provided with a computer account if you do not already have one. Class examples will use Stata. You can use another package for the homework but with very limited support. The course grade will be based entirely on the homework. The following schedule is approximate. Additional references, including published applications of the methods, will be provided.