Introduction to Structural Equation Modeling

• Laura Castro-Schilo (SAS Institute, JMP Division)

This webinar introduces Structural Equation Modeling (SEM) by covering key foundational concepts that enable analysts and researchers, from any field, to use this statistical technique. We start with comparisons to regression analysis to facilitate understanding of the SEM framework. We show how to leverage observed variables to estimate latent variables, account for measurement error, improve future measurement, and improve estimates of linear models. Moreover, we emphasize key questions analysts can tackle with SEM and show how to answer those questions with examples using real data. Attendees will learn how to perform path analysis and confirmatory factor analysis, assess model fit, compare alternative models, and interpret results provided in the SEM platform of JMP Pro.