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Instructor Class Description

Time Schedule:

Christopher A Adolph
CS&SS 536
Seattle Campus

Analysis of Categorical and Count Data

Analysis of categorical data in the social sciences. Binary, ordered, and multinomial outcomes, event counts, and contingency tables. Focuses on maximum likelihood estimations and interpretations of results. Prerequisite: SOC 504, SOC 505, SOC 506, or equivalent; recommended: CS&SS 505 and CS&SS 506, or equivalent. Offered: jointly with SOC 536/STAT 536; A.

Class description

A graduate course on the analysis of categorical data in the social sciences (binary, ordered, and multinomial choice; counts and grouped outcomes; contingency tables), focusing on maximum likelihood estimation and interpretation of results. Offered annually.

Student learning goals

General method of instruction

Recommended preparation

Class assignments and grading


The information above is intended to be helpful in choosing courses. Because the instructor may further develop his/her plans for this course, its characteristics are subject to change without notice. In most cases, the official course syllabus will be distributed on the first day of class.
Additional Information
Last Update by Christopher A Adolph
Date: 01/01/2005