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| Title: | Introduction to Structural Equation Modeling |
| Presenter: | Meghan Cain, Assistant Director, Educational Services, StataCorp |
| Date: | Thursday, 18 July 2024 |
| Time: | 11:00 a.m.–3:00 p.m. ET |
| Description: |
Structural equation models (SEMs) can model a wide range of hypotheses. They can include latent constructs, such as depression or well-being, and their measurement models. Observed and latent variables can be modeled as both predictors and outcomes simultaneously, providing a flexible framework for testing complex hypotheses.
This workshop will introduce you to SEM analysis in Stata. You will see how to fit simple models, such as regression and confirmatory factor analysis, and models with both measurement and structural components. To conclude, participants will learn how to evaluate health equity through measurement invariance and multiple-group analysis. |
| Materials: | Download here |
Meghan Cain is the Assistant Director, Educational Services at StataCorp LLC. She earned her PhD in quantitative psychology from the University of Notre Dame, where her research focused on structural equation modeling, multilevel modeling, and Bayesian statistics. At Stata, she oversees the development of statistical trainings and webinars, creates videos for the Stata YouTube channel, and reviews Stata Press books.
