QART Trainee-led Workshop on Structural Equation Modeling was a Great Success!
June 16th, 2020
This interactive virtual workshop invited Dr. Nicola Wright from King’s College in London, England for a 3-hour session on how to analyze longitudinal data using Structural Equation Modelling (SEM). Attendees included researchers, students, and/or team members of TACC, with the goal of taking what they’ve learned from this workshop to apply to their own longitudinal research. The use of SEM is especially important in the statistical analysis of clinical research findings, since SEM has the ability to assign relationships between latent variables from observable variables, and can also handle missing data in the data set.
- Workshop featuring Dr. Nicola Wright and organized by Dr. Valérie Courchesne
- Interactive polls for mini quizzes throughout the workshop
- Given examples throughout workshop focused on Dr. Wright’s post-doctoral research on parenting behavior and child aggression
- Learned how to properly form and operationalize hypotheses
- Learned the advantages of SEM, growth mixture modelling, and other statistical models used in longitudinal clinical research
- Learned how to perform latent growth curve analysis
- Learned how to construct and estimate a model, and how to assess how well that model fits your data set