Spring 2025
Details/registration for Spring 2025 QMWS courses will be available in
Introduction to Structural Equation Modeling
Instructor: Cathy Zhang, PhD (xijuan@yorku.ca)
Structural equation modelling (SEM) is an advanced statistical technique that allows exploration of complex relationships among variables by combining elements of confirmatory factor analysis (CFA) and multiple regression. SEM is commonly used in social and behavioural sciences. In this four-day workshop, I will explain the methodology underlying CFA and SEM and demonstrate how to perform these analyses using R software. This workshop is ideal for students, researchers, and practitioners familiar with basic regression and R coding who wish to learn more advanced statistical modelling techniques.
Dates/Times: June 3-6 (4 days), 2:30 pm - 4:00 pm
Format: Online (Zoom)
Cost: $30
Eligible for a Digital Credential: Yes
Registration: Click Here to Register
Introduction to jamovi
Instructor: Maria Orlando, MA (morlando@yorku.ca)
This workshop is an introduction to jamovi (https://www.jamovi.org/), a free and open-sourced software for statistical analysis. jamovi is user-friendly and features a point-and-click interface, making it ideal for those who are new to statistical software. In this two-session workshop, you will learn how to use jamovi to describe, analyze, and interpret data. Session 1 will cover using jamovi for descriptive statistics to summarize data. Session 2 will explore using Jamovi for inferential statistics to interpret data. Each session includes hands-on activities using real datasets, giving you the opportunity to practice your skills and apply them to your own data beyond the workshop. The focus of this workshop is using jamovi, so a general understanding of statistical concepts is recommended but not required.
Dates/Times: May 22 and May 29 (Thursdays) 11:30 am - 2:30 pm
Format: Online (Zoom)
Cost: $30
Eligible for a Digital Credential: Yes
Registration: Click Here to Register
Introduction to R
Instructor: Hannah Tran, MA (tranhan@yorku.ca)
This workshop is designed to introduce R and RStudio to those with a basic understanding of statistics. Students will first gain familiarity with the RStudio layout and environment, including learning basic commands, the utility of R packages, and how to import/export datasets. We will then learn how to use RStudio to explore, manipulate, and clean data. Students will also learn how to run basic descriptive statistics and basic inferential statistical analyses, as well as understand how to interpret this output. Finally, students will learn how to create visualizations and utilize R Markdown to communicate their statistical findings.
Dates/Times: May 26-28 (3 days), 11:30 am - 2:30 pm
Format: Online (Zoom)
Cost: $45
Eligible for a Digital Credential: Yes
Registration: Click Here to Register
Introduction to Simple and Multiple Linear Regression in R
Instructor: Veerpal Bambrah, MA (babrahv@yorku.ca)
This 3-week workshop will focus on conducting simple linear regressions and multiple linear regressions, including moderation analyses, in R, with an additional focus on how to write up these results in a research paper. In this workshop, participants will learn when and how to conduct, interpret, visualize, and write up the results of: a) A simple linear regression and multiple linear regression, including performing regression diagnostics, and b) Moderation analyses, specifically 2-way interactions. This course is intended for participants who possess little-to-no experience with conducting statistical analyses and presenting statistical results, or who possess an elementary understanding of linear regression but would like to build on this understanding by conducting and interpreting moderation analyses. This course will be taught in R, so participants should have introductory experience with this software. Note: The use of your own laptop or computer will be necessary for this course. It is also necessary to have R and RStudio installed on your laptop or computer. These softwares are free and can be found at the following links: R for macOS: https://cran.r-project.org/bin/macosx/; R for Windows: https://cran.r-project.org/bin/windows/base/; RStudio: https://posit.co/download/rstudio-desktop/. Please see the following video for help downloading and installing RStudio: https://www.youtube.com/watch?v=YrEe2TLr3MI
Dates/Times: June 12, 19, and 26, 2:00 pm to 5:00 pm
Format: Online (Zoom)
Cost: $45
Eligible for a Digital Credential: No
Registration: Click Here to Register
Some courses offered through the QMWS permit students to receive a Digital Credential/Badge for completing the course. There is no cost to you in order to receive the Digital Credential/Badge. For more details please see Digital Credentials.
To see a list of past QMWS workshops, visit our Archives Page
