Structural Equation Modeling (SEM) Course

course "Introduction to structural equation modeling and mixed models in R" Freie Universität Berlin

SEM part only, (G)LMM part is not shown here

[email protected] Oksana Buzhdygan

for 2022 and 2023

Before the course:

This course expects prior knowledge of data wrangling in R, basic statistics, LMs and GLMs. For preparation see the R course materials https://ecomods.github.io/r-statistics-course/

Video lectures from 2022:

Part 1

Part 1.1: Basics of SEM

Part 1.2: Understanding path coefficients

Part 1.3: Introduction to Covariance-based SEM

Part 2

Part 2.1: Assumptions of covariance-based estimation and adjusting for violated assumptions

Part 2.2: Model comparison and selection in SEM

Part 3

Part 3.1: Categorical Variables in SEM

Part 3.2: Latent Variables in SEM

Part 4

Part 4.1: Introduction to Local Estimation in SEM

Part 4.2: Interactions in SEM

Part 4.3: Extensions to GLM, LMM, and GLMM