UC Davis Agricultural and Resource Economics

Chuck Huber, StataCorp LLC

Structural Equation Modeling (SEM) using Stata

Date and Location

Thursday, August 31, 2017, 2:50 PM - 4:50 PM
ARE Library, 4101 Social Sciences and Humanities

Abstract

In this talk I introduce the concepts and jargon of structural equation modeling (SEM) including path diagrams, latent variables, endogenous and exogenous variables, and goodness of fit. I describe the similarities and differences between Stata’s -sem- and -gsem- commands. Then I demonstrate how to fit many familiar models such as linear regression, multivariate regression, logistic regression, confirmatory factor analysis, and multilevel models using -sem- and -gsem-. I wrap up by demonstrating how to fit structural equation models that contain both structural and measurement components.

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