Events
Don’t miss OSI’s final event of the year - a free public screening of Bodies in Crisis! Check out the trailer (external link) for this fascinating documentary by Maria Teresa Larrain that follows the intersections of disability, gender, and Indigenous activism in the ongoing fight for justice in Chile. The screening will be followed by a panel discussion on local and global disability rights and justice movements with disability studies scholars and activists Dr. Flávia Luciana Magalhães Novais and Dr. Akihito Kato. Filmmaker Maria Teresa Larrain will also be in attendance for Q + A.
This event is on Wednesday, December 3rd, 5pm-7:30pm, and is free and open to the public. To get your tickets, please register here: https://www.eventbrite.ca/e/1974937047874?aff=oddtdtcreator (external link)
The Department of Psychology and the Statistical Consulting Service at York University are very pleased to announce the line-up for the Fall 2025 Quantitative Methods Workshop Series. A list of topics can be found below, and details/registration can be found at https://qm.info.yorku.ca/qmws/ (external link)
Introduction to Bayesian Analysis in JASP
Instructor: Katherine Newman, MA
Description: Master the free, point-and-click statistical software that has become a standard in psychological research. This workshop provides a practical introduction to JASP, an intuitive platform designed to run advanced analyses without programming. We will use JASP to demystify and apply Bayesian statistics, a powerful framework that moves beyond simple p-values to quantify evidence for your hypotheses directly. Through hands-on exercises with a provided dataset, you will become proficient using JASP’s environment while learning to execute its Bayesian modules for correlations, t-tests, and ANOVA.
Dates/Times: November 20 (12:00-1:30 PM)
Format: Online (Zoom)
Introduction to R
Instructor: Hannah Tran, MA
Description: This workshop is designed to introduce R and RStudio to new users 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 then 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: October 23, October 30, and November 6 (11:30-2:30 PM)
Format: Online (Zoom)
Introduction to jamovi
Instructor: Maria Orlando, MA
Description: This workshop is an introduction to Jamovi (https://www.jamovi.org/ (external link) ), 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: November 5 and 12, 11:30 - 2:30 PM
Format: Online (Zoom)
Intermediate R
Instructor: Gabriel Crone, MA
Description: Many introductory R courses focus on the fundamentals and often overlook important concepts that help R users become better coders. This workshop empowers participants to expand their R programming skills and develop stronger coding workflows. Over three days, participants will build fluency in core R skills and data manipulation using the Tidyverse (Day 1); learn to write functions, apply iteration techniques, and explore R package development (Day 2); and master reproducible workflows with RProjects, RMarkdown, and GitHub (Day 3). This workshop is designed for intermediate R users—those with roughly six months to two years of experience or who have completed an introductory R course. Advanced users with extensive programming or package development experience may find the content more of a refresher. By the end, participants will be equipped with a suite of tools to become more versatile, knowledgeable, and confident R coders.
Dates/Times: November 13, 20, & 27, 11:30 - 2:30 PM
Format: Online (Zoom)
Leveraging Large Language Models (LLMs) and Prompt Engineering for Research
Instructor: Cathy Zhang, PhD
Description: If you are curious how Large Language Models (LLMs) and prompt engineering can make your research more efficient, then this workshop is for you. This workshop introduces you to LLMs and the basics of prompt engineering. You will learn how to use ChatGPT to support key research tasks, including literature reviews, data cleaning, coding, and academic writing.
Dates/Times: Friday, Dec 12, 4:00 pm - 6:30 pm.
Format: Online (Zoom)
See https://qm.info.yorku.ca/qmws/ (external link) for more details and registration.
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