Time Schedule:
Christopher A Adolph
CS&SS 536
Seattle Campus
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 424, SOC 425, SOC 426, or equivalent; recommended: CS&SS 505 and CS&SS 506, or equivalent. Offered: jointly with SOC 536/STAT 536; annually.
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