GRAD 6102 - Categorical Outcomes

While linear models like ordinary least squares regression are robust and useful, they are only applicable when your dependent variable is continuous and uncensored. Unfortunately, social scientists often want to explain phenomena that are “limited” in that they are not continuous and/or uncensored. Fortunately, there are alternative estimation techniques for analyzing most models with non-continuous (e.g., dichotomous, nominal, ordinal) and/or censored (e.g., event count or event history) dependent variables. A variety of techniques are examined for estimating models with “limited” dependent variables.

Credit Hours: (3)
Prerequisite(s): GRAD 6101 or equivalent.
Cross-listed Course(s): GRAD 8102
Repeatability: May not be repeated for credit.
Most Recently Offered (Day): Fall 2020, Fall 2019, Fall 2018
Most Recently Offered (Evening): Course has not been offered at this time in the past 3 years

Schedule of Classes