Dynamic Latent Class Analysis

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Latent Variable Centering of Predictors and Mediators in Multilevel and Time-Series Models (2018, methodology): “Simulation results for the above model are presented in Asparouhov et al. (2018).”
Number of Subjects and Time Points Needed for Multilevel Time-Series Analysis: A Simulation Study of Dynamic Structural Equation Modeling (2018, methodology): “This article aims to give insights and guidelines regarding the data requirements of some of the two-level timeseries models available in Mplus Version 8 (Muthén & Muthén, 2017) through the DSEM framework of Asparouhov et al. (2017b). To investigate the small sample properties of the estimation of t”
At the Frontiers of Modeling Intensive Longitudinal Data: Dynamic Structural Equation Models for the Affective Measurements from the COGITO Study (2018, unknown): “Asparouhov et al. (2018) also include a simulation study that shows that choosing a finer grid, such that there is a better agreement with observed times, results in good estimates despite inserting a large amount (e.”