These are the materials of two research-master courses I taught in April and May 2017: SEM1: Confirmatory Factor Analysis and its follow-up course SEM2: Structural Equation Modeling.

# SEM1: Confirmatory Factor Analysis

## Week 1: Introduction to factor analysis

## Week 2: Fitting and comparing CFA models

## Week 3: Measurement invariance, ordinal data and sample size

## Week 4: Missing data, exploratory factor analysis and higher order models

## Group projects

# SEM2: Structural Equation Modeling

## Week 1: Path analysis and structural equation modeling

## Week 2: Causality and equivalent models

## Week 3: Symposium on network versus latent variable models

### Presentations:

- Eiko Fried – What are the appropriate statistical models for psychological constructs such as personality, intelligence, or mental disorders? An introduction to network and latent variable models.
- Sacha Epskamp - Generalized Network Psychometrics: Combining Network and Latent Variable Models. (PDF)
- Abe Hofman – A comparison of latent variable vs network models using longitudinal data.

### Further reading:

- Fried: What are psychological constructs? On the nature and statistical modeling of emotions, intelligence, personality traits and mental disorders.
- Epskamp et al: Generalized Network Psychometrics: Combining Network and Latent Variable Models.
- Kievit et al: Developmental cognitive neuroscience using Latent Change Score models: A tutorial and applications.