On the Requirements of Non-linear Dynamic Latent Class SEM: A Simulation Study with Varying Numbers of Subjects and Time Points

• Published in: Structural equation modeling Vol. 30; no. 5; pp. 789 - 806
• Main Authors: Andriamiarana, Vivato, Kilian, Pascal, Kelava, Augustin, Brandt, Holger
• Format: Journal Article
• Language: English
• Published: Hove Routledge 03.09.2023; Psychology Press
• Subjects: Bayesian estimation; Bayesian Statistics; dynamic structural equation model; hidden Markov model; intensive longitudinal data; Latent class analysis; Simulation; Structural equation modeling; Structural Equation Models

Although small sample sizes represent an important issue, few studies investigated the requirements in dynamic latent variable model frameworks (e.g., dynamic structural equation modeling, DSEM; dynamic latent class analysis, DLCA). We conduct a small sample performance study of Bayesian estimation...