Standard syllabus
Structural equation modeling · Graduate · Statistics
Topics
Path and measurement models
- Path analysis and identification
- Confirmatory factor analysis
- Structural equation models: specification
- Model identification rules
- Diagram notation and syntax (lavaan, Mplus)
Estimation and fit
- Maximum likelihood for SEM
- Fit indices: CFI, TLI, RMSEA, SRMR
- Modification indices and model respecification
- Multigroup SEM (introduction)
- Measurement invariance testing
Advanced SEM topics
- Latent growth models
- Mediation and indirect effects in SEM
- SEM with categorical indicators (overview)
- Bayesian SEM (introduction)
Pricing
Graduate-level rates are set on consultation. See the pricing page for K–12 and undergraduate rates.