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Three-Level Dynamic Structural Equation Modeling

delete2026-01-29
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PRE
AI
T
Tihomir Asparouhov *
B
Bengt Muthén
DOI:10.1080/10705511.2025.2608122delete
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Abstract

Abstract

En 中文
In this paper, we describe a three level dynamic structural modeling framework as a generalization of the DSEM framework of Asparouhov et al. Model estimation is discussed and the framework is illustrated with simulation studies and practical examples. Two common scenarios are described. The first is intensive longitudinal data for a group of individuals where observations are nested within days, periods, waves or bursts. The second is intensive longitudinal data for individuals nested within higher level clusters. Comparisons are made with two-level DSEM models and emphasis is given to what can be learned from the additional level of clustering.
Keywords:
Double autoregressive model
dynamic structural equation modeling
multilevel time series modelling
three-level latent centering
three-level modeling

Journal

S
structural equation modeling: a multidisciplinary journal
IF:
0
Papers:
22
Citations:
0

Organization

M
mplus
Scholars:
4
Papers: 5
Citations: 0
M
mpluscorrespondencetihomir@statmodel.com
Scholars:
2
Papers: 4
Citations: 0
Cited Papers

Cited Papers

Complex Sample Data in Structural Equation Modeling
err1995-01-01
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PREAI
errBengt O. Muthen; Albert Satorra
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The multilevel latent covariate model:: A new, more reliable approach to group-level effects in contextual studies
err2008-09-01
err674
errOAAI
errLuedtke, Oliver; Marsh, Herbert W.; Robitzsch, Alexander; Trautwein, Ulrich; Asparouhov, Tihomir; Muthen, Bengt
errShare
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errShare
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Dynamic Structural Equation Modeling With Floor Effects
err2025-01-06
err0
PREAI
errMuthen, Bengt; Asparouhov, Tihomir
errShare
errSave
Dynamic Structural Equation Models
err2017-12-27
err0
errOAAI
errTihomir Asparouhov; Ellen L. Hamaker; Bengt Muthén
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