Workshop given on August 16, 2021 by Johnny Lin, PhD
UCLA OARC IDRE Statistical Consulting
This is the third seminar in a three-part series.
1. Confirmatory Factor Analysis (CFA) in R with lavaan
https://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
https://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
https://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.