Many categorical response variables have a natural order to their levels. We refer to them as ordinal variable (data). This workshop will show participants how to estimate and make inferences about ordinal data through the proportional odds model. Topics covered in this workshop includes introducing the proportional odds model, discussing the model assumptions, interpretation of coefficients, significance testing, interactions between variables and the use and interpretation of dummy variables. Model checking methods such as residual plots and goodness-of-fit tests will also be covered. Several methods for model selection will be included.
Registration is free and open to all University of Waterloo faculty, staff, graduate and undergraduate students. The primary software we will discussed in this seminar is RStudio. There is no hands-on work in this seminar.