JMP Webinar: Introduction to Structural Equation Modeling

Murat Caner Testik (Hacettepe University)

Introduction to Structural Equation Modeling

Speaker: Laura Castro-Schilo, Sr. Research Statistician Developer,

Moderator: Murat Caner Testik

Date: Oct. 7th 3pm CET


Dr. Laura Castro-Schilo is a Senior Research Statistician Developer at JMP (a division of SAS) working on the development of the structural equation modeling (SEM) platform. She obtained her PhD in quantitative psychology from the University of California, Davis and has authored over two dozen publications on methodology and applications of SEM. Previously, she was an Assistant Professor at the L. L. Thurstone Psychometric Laboratory at the University of North Carolina at Chapel Hill.

    • 15:00 16:00
      Introduction to Structural Equation Modeling 1h

      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.

      Speaker: Laura Castro-Schilo (SAS Institute, JMP Division)