Structural equation modeling
Graduate · Math
Syllabus focus
Topics typically covered
Click a topic for the full text and related unit practice.
Graduate Structural equation modeling — outline derived from course README sections and typical US statistics syllabi (OpenIntro / standard OER where applicable).
Path and measurement models
- Path analysis and identification — Path analysis and identification
- Confirmatory factor analysis — Confirmatory factor analysis
- Structural equation models: specification — Structural equation models: specification
- Model identification rules — Model identification rules
- Diagram notation — Diagram notation
- Syntax (lavaan, Mplus) — Syntax (lavaan, Mplus)
Estimation and fit
- Maximum likelihood for SEM — Maximum likelihood for SEM
- Fit indices: CFI, TLI, RMSEA, SRMR — Fit indices: CFI, TLI, RMSEA, SRMR
- Modification indices — Modification indices
- Model respecification — Model respecification
- Multigroup SEM (introduction) — Multigroup SEM (introduction)
- Measurement invariance testing — Measurement invariance testing
Advanced SEM topics
- Latent growth models — Latent growth models
- Mediation — Mediation
- Indirect effects in SEM — Indirect effects in SEM
- SEM with categorical indicators (overview) — SEM with categorical indicators (overview)
- Bayesian SEM (introduction) — Bayesian SEM (introduction)
Study units
Each unit includes a study guide, worksheets, review, practice test, and answer key. One unit is free; subscribe for the full class.
- Path and measurement models
Path analysis and identification
Coming soon - Estimation and fit
Maximum likelihood for SEM
Coming soon - Advanced SEM topics
Latent growth models
Coming soon
Notes
Graduate Structural equation modeling — outline derived from course README sections and typical US statistics syllabi (OpenIntro / standard OER where applicable). Topic outline: `content/topics/graduate/sem.json`.