Christopher A Adolph
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 SOC 536/CS&SS 536.
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.
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