- Topic 1 | Intro to SEM
- Topic 2 | Path Analysis
- Topic 3 | Exploratory Factor Analysis
- Topic 4 | Confirmatory Factor Analysis
- Topic 5 | Missing Data
- Topic 6 | Fooling Yourself w/SEM
- Topic 7 | Group Invariance
- Topic 8 | Longitudinal Measurement Invariance
- Topic 9 | Growth Modeling
- Topic 10 | Mixture Modeling
- Topic 11 | Partial Least Squares Modeling

To determine if measures are being interpreted the same way across groups (contexts or methods of delivery), researchers must learn the procedure for assessing group invariance. This procedure imposes constraints across groups in a sequential and progressive manner to test assumptions about equality of factor makeup, loadings, scales, and error.

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