Fall 2024
Introduction to R
Instructors: Gabriel Crone (gc2001@my.yorku.ca); Victoria Celio (celio12@my.yorku.ca)
R is a free and open-source statistical programming language that is widely used in academia for data analysis and producing insightful graphics with ease. It has the added benefit of being free! You can download it anytime (see here for a guide). In this three-part workshop series, we will gain familiarity with coding in R, with a focus on describing and analyzing real-life data. We will be engaging with the content through live demos, interactive activities, and practice examples—and all materials will be based on real data! During this workshop, you will learn the basics of R (day 1); how to manipulate and re-organize data using the tidyverse (day 2); and how to communicate your data through numerical descriptive statistics, visualizations, and RMarkdown documents (day 3). The course is intended for anyone who has little to no experience with R. No prior programming experience is necessary. We look forward to learning R togetheR!
Dates/Times: Monday Oct. 21, Oct. 28, & Nov. 4, 2:30 PM - 5:30 PM
Format: Online (Zoom)
Cost: $45
Eligible for a Digital Credential: Yes
Registration: Click Here to Register
A Practical Guide to Qualitative Content Analysis
Instructor: Danielle DuPlessis (dcdup@yorku.ca)
More and more, researchers are understanding the value of mixed- and multi-method approaches to scientific inquiry, to support a fulsome understanding of our data. However, applications of analytic techniques for qualitative data remain limited. This is, in part, due to the mysticism that surrounds learning how to carry out qualitative analyses. The current lectures will provide: (1) a brief introduction to the methodological traditions that underlie qualitative analysis; (2) an introduction to qualitative content analysis; and (3) a step-by-step approach to carrying out qualitative analysis, including strategies for rigour. These lectures are intended for anyone with an interest in qualitative analysis—no experience necessary!
Dates/Times: Mon Oct 28th and Nov 25th, 12:00 - 1:30 PM
Format: Online (Zoom)
Cost: $15
Eligible for a Digital Credential: No
Registration: Click here to register
Exploratory and Confirmatory Factor Analyses with R Markdown
Instructor: Kaiwen Zhou, MA (kevnook@yorku.ca)
Factor analysis is a statistical method used to simplify complex data by identifying underlying relationships between variables. This workshop will guide you through the process of developing a scale, focusing on both exploratory and confirmatory factor analyses using R Markdown. Topics include: understanding latent factors, creating and interpreting scree plots, understanding factor loadings, rotations, item reductions, evaluating model fit indices, and recognizing the limitations of factor analyses and next steps in the context of scale development. Each analysis will be accompanied by R syntax that you can replicate at your own pace. This workshop aims to provide clear and practical guidance for conducting factor analysis, helping you develop a robust and reliable scale for your research projects. Registrants must have R and RStudio installed before the first session.
Dates/Times: Wed Nov 13th & 20th, 11:30 AM-2:30 PM
Format: Online (Zoom)
Cost: $30
Eligible for a Digital Credential: No
Registration: Click Here to Register
Elevating Your Research: Open-Science, Preregistration, Open-Access Publishing, and Visibility Strategies
Instructors: Gabriel Crone (gc2001@my.yorku.ca); John Dupuis (jdupuis@yorku.ca)
Are you an early-career researcher in psychology who is just starting out with research? Are you interested in open-science, but are unsure of how to implement it in your own work? Are you interested in having your research become more impactful? If the answer was “yes” to any of the above, then this workshop is for you! In collaboration with York University Libraries, we present Elevate Your Research! This two-day workshop aims to provide a thorough introduction and practical guide to open-science, open-access publishing, and research visibility. In Day 1, you will become familiar with open-science, the values of open-science practices, and how to implement it in your own work through pre-registrations. In Day 2, you will learn the ins-and-outs around open-access (OA) publishing and strategies to make your own research more well-known, especially within online communities and through social media. By the end of this workshop, we hope to give you a much stronger sense of actionable ways to improve your own research practices and impact.
Dates/Times: Wed Nov 6 & 13, 11:30 AM - 1:00 PM.
Format: Online (Zoom)
Cost: $15
Eligible for a Digital Credential: No
Registration: Click Here to Register
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
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
