Regime-Switching Bivariate Dual Change Score Model |
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| Authors: | Sy-Miin Chow Kevin J. Grimm Guillaume Filteau Conor V. Dolan John J. McArdle |
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| Affiliation: | 1. The Pennsylvania State University;2. University of California , Davis;3. University of North Carolina at Chapel Hill;4. University of Amsterdam;5. University of Southern California |
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| Abstract: | Mixture structural equation model with regime switching (MSEM-RS) provides one possible way of representing over-time heterogeneities in dynamic processes by allowing a system to manifest qualitatively or quantitatively distinct change processes conditional on the latent “regime” the system is in at a particular time point. Unlike standard mixture structural equation models such as growth mixture models, MSEM-RS allows individuals to transition between latent classes over time. This class of models, often referred to as regime-switching models in the time series and econometric applications, can be specified as regime-switching mixture structural equation models when the number of repeated measures involved is not large. We illustrate the empirical utility of such models using one special case—a regime-switching bivariate dual change score model in which two growth processes are allowed to manifest regime-dependent coupling relations with one another. The proposed model is illustrated using a set of longitudinal reading and arithmetic performance data from the Early Childhood Longitudinal Study, Kindergarten Class of 1998–99 study (ECLS-K; U.S. Department of Education, National Center for Education Statistics, 2010). |
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