Constrained and Unconstrained Multivariate Normal Finite Mixture Modeling of Piagetian Data

Autor/inn/en	Dolan, Conor V.; Jansen, Brenda R. J.; van der Maas, Han L. J.
Titel	Constrained and Unconstrained Multivariate Normal Finite Mixture Modeling of Piagetian Data
Quelle	In: Multivariate Behavioral Research, 39 (2004) 1, S.69-98 (30 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0027-3171
Schlagwörter	Cognitive Development; Piagetian Theory; Multivariate Analysis; Longitudinal Studies; Children; Developmental Stages; Computer Assisted Testing + Suchen Sie Ihr Suchwort? Kognitive Entwicklung; Multivariate Analyse; Longitudinal study; Longitudinal method; Longitudinal methods; Längsschnittuntersuchung; Child; Kind; Kinder
Abstract	We present the results of multivariate normal mixture modeling of Piagetian data. The sample consists of 101 children, who carried out a (pseudo-)conservation computer task on four occasions. We fitted both cross-sectional mixture models, and longitudinal models based on a Markovian transition model. Piagetian theory of cognitive development provides a strong basis for the number and interpretation of the components in the mixtures. Most studies of Piagetian development have been based on mixture modeling of discrete responses. The present results show that normal mixture modeling is a useful approach, when responses are continuous and approximately normal within the components. Multivariate normal mixture modeling has the advantage that the covariance structure within the components may be modeled. Generally the results are consistent with the presence of distinct modes of responding. This provides support for the hypothesis of stage-wise development. (Author).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10