Overview: This workshop aims to introduce students to the basic concepts of structural equation modeling (SEM). The session will go over fitting structural equation models in R, evaluating model fit, interpreting results, and three examples of commonly used structural equation models.

At the end of the workshop, you will be able to

>formulate structural equation models based on theory

>evaluate model fit

>interpret findings from path models, factor models, and structural equation models

Prerequisites:

• Knowledge of linear regression analysis.
• Introductory knowledge of R, e.g. from our workshop Introduction to Programming with R or McGill's R summer camp.
• You need to bring your own laptop for this workshop. Install R and RStudio on your computer. You can find installation instructions here. Please contact us (cdsi.science@mcgill.ca) if you are having trouble with installation.

Location: HYBRID. Online via Zoom, or in-person at Burnside Hall room 1104 (11th floor).
Instructor: Emma Somer, Graduate Student in Quantitative Psychology, McGill University