29.09.2025

Tutorial on Dynamic Models for Intensive Longitudinal Data (Faleh, Morelli et al.) submitted

In this tutorial, we provide a step-by-step guideline for DLC-SEM

We submitted this tutorial on DLC-SEM to model intensive longitudinal data with heterogeneous development trajectories. 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. (submitted). Dynamic Latent Class Structural Equation Modeling: A Hands-On Tutorial for Modeling Intensive Longitudinal Data. Article Github Repository