Latent Variable Modeling
Depending on the Covid-situation in October, the course will be given online via Zoom or in a “hybrid teaching format” (in the latter case you can choose whether you would like to participate online or be in the lecture room).
The following topics are discussed:
- Observed and latent variables
- Classical latent variable theory and factor-analytic paradigm
- Exploratory and confirmatory factor analysis
- Observed and implied covariance structures
- Model identification
- Maximum likelihood estimation
- Model fit statistics (test of exact fit, test of close fit, noncentrality-based fit statistics, incremental fit indexes, residual-based fit indexes)
- Null hypothesis testing and confidence intervals for parameters
- Estimation of reliability and validity measures
- Mediation and moderation analyses
- Robustness against nonnormality and small sample sizes
- Trends: Reflective versus formative latent variables, common method bias, etc.
- Causality
- Latent variable models and experimental data
- Overview: Extensions of the basic latent variable model (e.g., mixture modeling)
| Date | Time |
|---|---|
| Thursday, 07.10.2021 | 08:00 - 19:00 |
| Friday, 08.10.2021 | 08:00 - 19:00 |