Dynamic Modeling with Intensive Longitudinal Data: One-Step and Two-Step DSEM Approaches.

ABSTRACT: This study evaluated and compared one-step and two-step dynamic structural equation modeling (DSEM) approaches for analyzing intensive longitudinal data. In one-step DSEM, the within-person dynamic model and the between-person model are estimated simultaneously. In two-step DSEM, dynamic component estimates are first extracted from the within-person model, followed by estimation of between-person relations in a second step. We further examined whether including person-level variables as auxiliary variables in the first step affects the performance of two-step DSEM. The modeling approaches were evaluated by a simulation study and illustrated with a real data example. Results showed that two-step DSEM without auxiliary variables exhibited estimation bias, low coverage rates, and deflated Typ

SUBMITTER: Wang L 

PROVIDER: S-EPMC12779111 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature