Categorical Data Analysis - SOC507	Instructor: Scott T. Yabiku
	scott.yabiku@asu.edu
	www.public.asu.edu/~syabiku
	480-965-3943

Description:
This course teaches you practical skills for interpreting and performing research with categorical data. Statistical techniques used to analyze categorical data include logistic regression, log-linear models, ordered logit and probit models, and models for unordered outcomes. I emphasize practical, hands-on skills with computing exercises in all of the above. The prerequisite for this course is a graduate course in statistics—something that has given you a working knowledge of data analysis, including hypothesis testing and linear regression.

The book we will use is Statistical Methods for Categorical Data Analysis by Powers and Xie. This will be available at the ASU bookstore.

The active webpage for this course is accessible through my.asu.edu. You will have to login before you can access it.

Example syllabus is here.