Winter 2025
Introduction to LaTeX and Overleaf
Instructor: Cathy Zhang, PhD (xijuan@yorku.ca)
Do you plan to write an APA format paper or a thesis or dissertation paper? Are you frustrated with the APA format or reference style? This course will teach you how to use a software system called LaTeX that automates formatting and reference style. LaTeX is a powerful software system that produces professional-looking documents. If you want to write neat mathematical equations, embed programming code, and/or easily format your paper in the APA style or any required dissertation format, you must learn LaTeX. Overleaf is an online platform that allows you to run LaTeX and produce professional-looking documents in PDF format. In this tutorial, I will teach you how to write APA-style papers, thesis papers, dissertation papers, presentation slides, and assignments using the LaTeX software system on Overleaf. More importantly, I will provide exclusive LaTeX templates for APA papers, dissertation papers, and presentation slides.
Dates/Times: Mon Jan 13, 5:00 PM - 8:00 PM.
Format: Online (Zoom)
Cost: $15
Eligible for a Digital Credential: Yes
Registration: Click Here to Register
Out with the Old, In with the New: An Overview of Modern Data Analysis Strategies
Instructor: Rob Cribbie, PhD (cribbie@yorku.ca)
This workshop will begin by highlighting limitations with null hypothesis significance testing, which remains the dominant method used in the behavioural sciences to make conclusions regarding research questions. The workshop will then introduce recommended approaches for addressing quantitative research questions, including effect sizes, confidence intervals, replication, Bayesian analysis, meta-analysis, etc. The workshop is suitable for all students/researchers who have taken a university level course in statistics.
Dates/Times: Thurs Jan 16, 23, & 30, 8:30 - 11:30 AM (EST)
Format: Online (Zoom)
Cost: $45
Eligible for a Digital Credential: Yes
Registration: Click Here to Register
Introduction to jamovi
Instructors: Gabriel Crone (gc2001@my.yorku.ca), BSc; Victoria Celio, BA (celio12@my.yorku.ca)
jamovi is open-source and beginner-friendly statistical software. While other software can be expensive or difficult to use, jamovi is neither: It is both easy to learn and free to install (https://www.jamovi.org/download.html). In addition, it is capable of performing entire data analyses, generating elegant plots, and producing scripts and code that are ideal for collaboration. If you are new to data analysis, statistics, or statistical software, or are just curious to learn about jamovi, then this workshop is for you! In this two-day workshop, you will learn to use jamovi through live demos, interactive activities, and practice questions. The workshop uses real data, so is more applicable to data analysis in a substantive, real-world context. The course starts by introducing students to the basics of jamovi (e.g., familiarity with environment, modifying variables, creating filters), then proceeds to show students how to perform effective descriptive (Day 1) and inferential (Day 2) statistical analyses. By the end of the workshop, we hope that attendees leave with a set of transferable data analysis skills, a further appreciation for data analysis, and a curiosity to learn more!
Dates/Times: Mon February 24 & March 3, 2:30 - 5:30 PM (EST)
Format: Online (via Zoom)
Cost: $30
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: Thurs March 6th, 13th, & 20th, 2:00 - 5:00 PM (EST)
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
