Introduction to Structural Equation Modeling

Introduction to SEM seminar originally given on February 22, 2021. This is the second seminar in a three-part series. 1. Confirmatory Factor Analysis (CFA) in R with lavaan stats.idre.ucla.edu/r/seminars/rcfa/ The first seminar introduces the confirmatory factor analysis model, and discusses model identification, degrees of freedom and model fit. 2. Introduction to Structural Equation Modeling (SEM) in R with lavaan stats.idre.ucla.edu/r/seminars/rsem/ The second seminar explores structural equation models which is an umbrella term that encompass linear regression, multivariate regression, path analysis, CFA and structural regression. 3. Latent Growth Models (LGM) and Measurement Invariance with R in lavaan stats.idre.ucla.edu/r/seminars/lgm/ The third seminar introduces latent growth modeling and how it relates to hierarchical linear models (HLM) and 2) measurement invariance in CFA and how to compare model fit between invariance models.

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