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Regime-Switching Bivariate Dual Change Score Model.
- Source :
-
Multivariate behavioral research [Multivariate Behav Res] 2013 Jul; Vol. 48 (4), pp. 463-502. - Publication Year :
- 2013
-
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).
Details
- Language :
- English
- ISSN :
- 0027-3171
- Volume :
- 48
- Issue :
- 4
- Database :
- MEDLINE
- Journal :
- Multivariate behavioral research
- Publication Type :
- Academic Journal
- Accession number :
- 26742002
- Full Text :
- https://doi.org/10.1080/00273171.2013.787870