06.05.2026
Tutorial on Dynamic Models for Intensive Longitudinal Data (Faleh, Morelli et al.) accepted
In this tutorial, we provide a step-by-step guideline for DLC-SEM
The tutorial on DLC-SEM to model intensive longitudinal data with heterogeneous development trajectories has been accepted for publication. Starting with Bayesian CFA and time series implementations, we build complex dynamic structural equation models (DSEM) and its extension with Hidden Markov Models to model sudden changes and factorial switches. This hands-on tutorial is aimed at applied users as well as students who want to learn about this framework.
Faleh, R., Sofia, M., Andriamiarana, V., Roman, Z. J., Flückiger, C., & Brandt, H. (accepted for publication). Dynamic Latent Class Structural Equation Modeling: A Hands-On Tutorial for Modeling Intensive Longitudinal Data. Psychological Methods. Article Github Repository
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