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A Two-Step Bayesian Approach to Modeling Within-Person Moderation Using Intensive Longitudinal Data

delete2026-05-20
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PRE
AI
Y
Yuan Fang *
L
Lijuan Wang
DOI：10.1080/00273171.2026.2674441delete
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Abstract

Abstract

En 中文
This study proposed a two-step Bayesian approach for estimating random within-person moderation effects in dynamic structural equation models using intensive longitudinal data. Simulation results showed that the proposed method achieved stable convergence and satisfactory estimation performance, offering a practical alternative when one-step full Bayesian approaches fail for complex moderated dynamic models.
Keywords:
within-person moderation
dynamic structural equation modeling
stepwise estimation
Bayesian estimation
intensive longitudinal data

Journal

M
Multivariate Behavioral Research
IF:
3.5
Papers:
1.8K
Citations:
9.4K

Organization

U
university of notre dame
Scholars:
1.4K
Papers: 663
Citations: 0
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