Winter 2026
Full details/registration for Winter 2026 QMWS courses will be available soon!
Introduction to jamovi
Instructor: Bahar Khosrojerdi (bahar01@yorku.ca)
Description: Introduction to jamovi - From Descriptives to Inferential Statistics
jamovi is a free, user-friendly statistical software for research data analysis
(https://www.jamovi.org). This two-day interactive workshop introduces students to the fundamentals of data analysis in jamovi. Each session includes live instruction, hands-on tutorials with various datasets, and real-time troubleshooting. Day 1 covers descriptive statistics: navigating the interface, importing datasets, and creating summary statistics and visualizations. Day 2 focuses on inferential statistics: hypothesis testing (e.g., t-tests, ANOVA, regression, and more). Knowledge of statistical concepts is helpful but not required, as step-by-step visual guides will be provided for reference and self-paced learning. This workshop is ideal for anyone interested in building practical skills in statistical analysis using a user-friendly, open-source software. No prior jamovi experience required.
Dates/Times: February
Format: Online (Zoom)
Cost:$30
Eligible for a Digital Credential: Yes
Registration: Coming soon ..
Introduction to the Basics of R and RStudio
Instructor: Sabine Johnson, M.A. M.Sc. (sabjohn@yorku.ca)
Description: R and R Studio are free statistics software programs. This workshop is designed for beginners who are new to using this software, and who want to learn the basics of navigating R Studio with the goal of completing simple statistical analyses. During this workshop, you will learn to navigate the R environment, import a csv dataset, clean, organize and manipulate data (e.g., recoding, managing missing variables), learn basic R syntax, generate descriptive data (e.g., mean, standard deviation), visualize data (generate graphs), and perform simple statistical analyses (e.g. t-tests, correlations, simple linear regression). Other packages (e.g., tidyverse, psych) not included in the base model of R will also be reviewed that may be helpful for those engaged in social sciences research. This workshop is suitable for anyone who is new to using R Studio, and who have a basic understanding of statistics. This workshop may also be beneficial to undergraduate students new to R and beginning their thesis projects who would like to learn effective strategies for generating or organizing their datasets.
Dates/Times: March
Format: Online (Zoom)
Cost: $45
Eligible for a Digital Credential: No
Registration: Coming soon ...
Introduction to Regression in R: Performing and Interpreting Basic, Moderated, and Mediated Effects
Instructor: Jingyuan (Sophie) Li
Description: This 2-week workshop will focus on conducting and interpreting simple and multiple linear regression, including moderation and mediation analyses. It is designed for participants with little experience in data analysis. Participants will learn when and how to conduct these analyses in R, how to interpret the results, and how to visualize findings with graphs. Topics include:
a) Simple and multiple linear regression
b) Moderation analyses (specifically 2-way interactions)
c) Mediation analyses (examining mechanisms that explain a relationship)
The workshop will be taught in R, so participants should have introductory experience with the software. However, we will review essential R basics in the first session. Participants will need to have their own laptop or computer with R and RStudio installed. They are free and can be found on: 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: February 12 & 19, 2:00 - 4:00 pm
Format: Online (Zoom)
Cost: $60
Eligible for a Digital Credential: Yes
Registration:
Topic Modeling via Latent Dirichlet Allocation
Instructor: Spencer Arshinoff, M.A. (sarshin@yorku.ca)
Description: Topic modelling is increasingly used by psychologists in all areas to make quantitative inferences from large bodies of text, whether it’s open-ended responses, interview transcripts, social media posts, or journal articles. In this workshop, you will receive an introductory overview of latent Dirichlet allocation (LDA), a popular method of topic modelling that identifies latent trends in subject matter based on visible patterns in term frequency in a corpus of many text documents. I will first provide a conceptual overview of topic modelling and LDA, and weigh the pros and cons of different topic modelling methods. Then, I will discuss how to create a topic model using LDA, addressing software possibilities and the necessary components of data selection, pre-processing, and analysis. This workshop will be of interest to researchers with no experience using LDA, hoping to make sense of the glut of textual data at their disposal.
Dates/Times: TBA
Format: Online (Zoom)
Cost: $
Eligible for a Digital Credential:
Registration: Coming soon ...
Using AI to Assist with Data Analysis: Benefits and Concerns
Description: Artificial intelligence (AI) has started to be incorporated into research through the creation of chatbots with user-friendly interfaces (e.g., ChatGPT). Researchers have been exploring how chatbots can be used to streamline various tasks in the research process (e.g., literature reviews, writing code). However, to ensure that the rigour of psychological research is preserved, researchers must know how to use the chatbots appropriately and understand their strengths and weaknesses. The purpose of this workshop is to provide researchers with a general introduction to using ChatGPT to assist with various aspects of data analysis, including power analyses, coding, and interpreting model results.
Dates/Times: Friday, February 27, 9:30 am - 12:30 pm
Format: Online (Zoom)
Cost: $15
Eligible for a Digital Credential: Yes
Registration: Coming soon ...
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
