Time Schedule:
Christopher A Adolph
SOC 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 504, SOC 505, SOC 506, or equivalent; recommended: either CS&SS 505 and CS&SS 506, or equivalent. Offered: jointly with STAT 536/CS&SS 536.
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