2 papers
stat.ME2026
Reconciling Latent Variables and Networks: Exploring and extending the Psychometric-Toolbox
Kevin Kistermann, Vivato V. Andriamiarana, Augustin Kelava
Since the introduction of network psychometrics, several connections to statistical models in "classical" psychometrics (i.e., IRT, SEM, GLM) as well as to approaches from other re…
stat.ME2025
Dynamic Latent Class Structural Equation Modeling: A Hands-On Tutorial for Modeling Intensive Longitudinal Data
Roberto Faleh, Sofia Morelli, Vivato Andriamiarana +3
In this tutorial, we provide a hands-on guideline on how to implement complex Dynamic Latent Class Structural Equation Models (DLCSEM) in the Bayesian software JAGS. We provide bui…