Faculty

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 discuss in this seminar is RStudio. There is no hands-on work in this seminar.

Though the workshop will not go into mathematical details and proofs, it will provide some reasoning and intuition behind the key formulas used in survey sampling. It will also look at various examples using the statistical software SAS (free to students, faculty and staff at the University of Waterloo). In addition to illustrating basic data analysis techniques, those examples aim to provide guidance on some of the pitfalls of analysing survey data. Part 3 is a practical hands-on opportunity for participants to conduct basic data analysis using SAS on their own laptop.

This is two-day workshop will be held in M3 3127. Registration is free for all members of the university.

In this introduction to R workshop, participants will be taught the basics of this open-source language.

Registration is free and open to all University of Waterloo faculty, staff, graduate and undergraduate students. No programming experience is assumed.

In this workshop, participants will learn to perform common statistics using the R software.

Registration is free to all students, faculty and staff at the University of Waterloo.