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Exploratory Graph Analysis (EGA)
- Introduction to networks
- Graphical least absolute shrinkage and selection operator (GLASSO)
- Extended Bayesian information criterion (EBIC) for model selection
- Community detection: Walktrap and Louvain algorithms
- Consensus clustering
- Unidimensionality
- Entropy and Total Entropy Fit Index (TEFI)
- EGA with TEFI community selection
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- Measurement concepts
- Redundancy and unique variable analysis (UVA)
- Bootstrap EGA
- Item and dimension stability
- Network loadings
- Metric measurement invariance
- Hierarchical EGA
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- Generalized Local Linear Approximation
- Dynamic EGA
- Normalized Mutual Information
- Jensen-Shannon Distance
- Hierarchical Clustering
- Information Theory Clustering