Ordinal logistic regression is an extension of binary logistic regression. This statistical method can be implemented when modeling a dependent variable that is an ordinal (categorical) variable. This workshop will discuss the assumptions behind the ordinal logistic model, the interpretation of the coefficients from the model, post hoc tests.
Introduction to Ordinal Logistic Regression
Files for this workshop are available in Box.
Access FilesA video of this workshop is available at Cornell’s Video on Demand site.
View Video