An Overview of Markov Chain Methods for the Study of Stage-Sequential Developmental Processes

Autor/in	Kapland, David
Titel	An Overview of Markov Chain Methods for the Study of Stage-Sequential Developmental Processes
Quelle	In: Developmental Psychology, 44 (2008) 2, S.457-467 (11 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0012-1649
Schlagwörter	Markov Processes; Research Methodology; Models; Individual Development; Socioeconomic Status; Reading Skills; Kindergarten; Developmental Stages + Suchen Sie Ihr Suchwort? Markowscher Prozess; Research method; Forschungsmethode; Analogiemodell; Individuelle Entwicklung; Socio-economic status; Sozioökonomischer Status; Reading skill; Lesefertigkeit
Abstract	This article presents an overview of quantitative methodologies for the study of stage-sequential development based on extensions of Markov chain modeling. Four methods are presented that exemplify the flexibility of this approach: the manifest Markov model, the latent Markov model, latent transition analysis, and the mixture latent Markov model. A special case of the mixture latent Markov model, the so-called mover-stayer model, is used in this study. Unconditional and conditional models are estimated for the manifest Markov model and the latent Markov model, where the conditional models include a measure of poverty status. Issues of model specification, estimation, and testing using the Mplus software environment are briefly discussed, and the Mplus input syntax is provided. The author applies these 4 methods to a single example of stage-sequential development in reading competency in the early school years, using data from the Early Childhood Longitudinal Study--Kindergarten Cohort. (Author).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10