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In longitudinal data analysis, dynamic structural equation modeling refers to a framework for intensive longitudinal data that combines multilevel, time-series and structural equation models, estimated with Bayesian methods. This meaning comes from Asparouhov (2017) in Structural Equation Modeling: A Multidisciplinary Journal.[1]
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