Current undergraduate students

Learn how to use Qualtrics to create and launch a survey. The goal of this workshop is to provide an overview of the whole process along with some hands-on exercises. The workshop will start with instructions on how to build a survey, then will cover getting it ready for the field, and finish with showing users how to distribute, monitor, and extract their data.

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

Join us for an introductory workshop to R, where you’ll learn the fundamentals of this powerful open-source language.

Registration is free and open to all University of Waterloo faculty, staff, and students (both graduate and undergraduate). No prior programming experience is required.

Linear regression models, also known as linear models, are widely used in various applications and research. It is one of the most popular models out there because of its simplicity and easy interpretation. 

Learn how to use Qualtrics to create and launch a survey. The goal of this workshop is to provide an overview of the whole process along with some hands-on exercises. The workshop will start with instruction on how to build a survey, then will cover getting it ready for the field, and finish with showing users how to distribute, monitor, and extract their data.

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

In this workshop, participants will learn to perform analysis using an approach that identifies general patterns in the data.

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

In this one-day workshop, drawing on Dr. Sarah Wilkins-Laflamme’s 10 years of experience running national and international surveys, we will review the key steps in developing high-quality survey questions and questionnaires along with tips for achieving precise, relevant and accessible measures when collecting survey data via smartphone, tablet, computer, in-person interview, telephone interview, and mail. 

The workshop will be held in DC 1568. Registration is free for all students, faculty and staff at the University of Waterloo.

This workshop will provide participants with an introduction to simple and multiple linear regression. Topics covered in this workshop include the regression models, 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 collinearity diagnostics will also be covered. Several methods for model selection will be included.

Registration is free and open to all University of Waterloo faculty, staff and graduate students.

This workshop will provide participants with an introduction to Poisson regression used to model counts observed in a period of time. Topics covered in this workshop includes the Poisson regression model, 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 and graduate students.

This workshop will show participants how to estimate and make inferences about a binary response probability and related quantities through logistic regression. Topics covered in this workshop includes the logistic regression model, 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 and graduate students.

In this introduction to R workshop, participants will be taught the basics of this open source language. Topics covered in this workshop includes:

• Help tools
• Importing / exporting data
• Data management
• Descriptive and exploratory statistics
• Graphics
• Common statistical analyses

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