Introduction to Structural Equation Modeling
Dr. Aidan Wright, University of Pittsburgh
June 5th-7th, 2019 - Days 1-2 will involve lectures and planned exercises, day 3 will likely be a half day in the morning, and allow for spill-over and individual consultations with your own data in the afternoon. Days 1-3 are anticipated to run from 9am-4pm with a 1hr break for lunch.
Trainees (students and post-docs) - $500
Professionals (including faculty) - $750
NOTE: If also registering for the Instrument Validation Workshop, a 20% fee reduction will be applied to both registrations.
This 3-day workshop will offer a basic introduction to the principles of modern structural equation modeling (SEM), with an emphasis on the applied use of these techniques. The goal is to provide attendees with a strong set of fundamentals that will allow them to flexibly apply SEM to answer diverse questions in a wide variety of data. Core topics covered will include conceptual introduction to latent variable models, fundamentals of covariance structure models (e.g., data requirements, identification, etc.), measurement models and confirmatory factor analysis, path analysis, and full SEM. Advanced topics, including multiple group analysis, measurement invariance, SEM with categorical data, and growth curve modeling will be briefly covered.
The primary software package for the course will be lavaan in R. I recommend downloading RStudio (rstudio.com) and R prior to the start of the course. However, additional syntax will be provided for example models in Mplus.