460006 SE Forschungsseminar (2019S)

This course offers an introduction to advanced topics in latent variable modeling (i.e., statistical analysis with latent variables) in Mplus. The course will not only deal with continuous latent variables (e.g., factors corresponding to unobserved constructs), but also with categorical latent variables (e.g., latent classes corresponding to homogeneous groups of individuals). Note that prior attendance of the previous course “Latent Variable Modeling in Mplus” is not needed, but prior experience with the Mplus program is presumed.

The course will cover the following topics:
- Missing data
- Multilevel Modeling with cross-sectional data
- Latent class and latent profile analysis
- Cross-lagged panel model
- Latent growth modeling
- Latent change score modeling

This course is designed to work with Mplus (see: www.statmodel.com). Note that there is no requirement to obtain a license since the free demo version of the program will be sufficient to work on all exercises.

This course will be taught in English.