Comparisons of Four Methods for Estimating a Dynamic Factor Model

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Comparison of Models for the Analysis of Intensive Longitudinal Data (2019, methodology): “The model generalizes the standard DAFS model, see Zhang, Hamaker, and Nesselroade (2008), in two ways.”
Dynamic Structural Equation Models (2018, methodology): “The DSEM model described here can also be viewed as the multilevel extension of the dynamic factor models described in Molenaar (1985), Zhang and Nesselroade (2007), and Zhang, Hamaker, and Nesselroade (2008).”
Dynamic Latent Class Analysis (2017, methodology): “The estimation of the DSEM is a combination of the Bayes estimation method described in Zhang and Nesselroade (2007) and Zhang et al. (2008) for singlelevel DSEM and the two-level estimation described in Asparouhov and Muthén (2010); when ½Y2;ij is generated in the MCMC, the latent variables are…”
Latent Variable Centering of Predictors and Mediators in Multilevel and Time-Series Models (2018, methodology): “Such simplification is often used in the continuous case and it has been used to estimate multivariate time-series models from variance covariance matrices of the dependent variables and its lagged variables, see Zhang, Hamaker, and Nesselroade (2008).”