IMMERSE Training Program

On this channel we will post online training materials on data science and statistics topics. These resources are funded by IES  funded grant and produced by researchers at the University of California, Santa Barbara in the department of Education.

Tutorials cover a range of topics: Latent variable modeling, mixture modeling, Mplus program, R language, MplusAutomation package, Structural Equation Modeling (SEM), Latent Class Analysis (LCA), Latent Profile Analysis (LPA), Latent Transition Analysis (LTA), Enumeration, Auxiliary variable integration, and others.