Workshops

These are stand-alone workshops related to quantitative and qualitative methods. This list is for information purposes only. To add a workshop, contact the Div. 5 website coordinator, Alex Beaujean.

This self-paced online workshop provides step-by-step instruction for a variety of longitudinal techniques in Mplus, including longitudinal confirmatory factor analysis and measurement invariance testing, latent change score, autoregressive, and growth curve models, and trait change models. For more information and to enroll visit the workshop website. 

Location: online, on-demand 
Instructor: Christian Geiser

This self-paced online workshop covers foundational techniques in multilevel modeling, including multilevel regression, grand mean and group mean centering, longitudinal growth models as multilevel models, and multilevel confirmatory factor analysis. No prior Mplus experience required. For more information and to enroll, visit the workshop website.

Location: online, on-demand
Instructor: Christian Geiser 

This online three-day course is intended as both a theoretical and practical introduction, discussing models up through multiple regression, covering aspects of modeling including model construction, graphical representations of models, practical aspects of Markov chain Monte Carlo (MCMC) estimation, evaluating hypotheses and model-data fit, model comparisons, and modeling in the presence of missing data. For more information or to register, visit the course website. 

July 8–10, 2020
Location: online
Instructor: Roy Levy

This beginner-friendly, self-paced short course provides step-by-step guidance in using Mplus to perform S.E.M. Topics include: data preparation and basic Mplus procedures; confirmatory factor analysis and path analysis; and latent variable modeling and reporting practices. Datasets, syntax, and supporting handouts are provided. For more information or to register, visit the course website.  

December 14, 2020
Location: online, asynchronous 
Instructor: Christian Geiser