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ERIC Number: EJ788270
Record Type: Journal
Publication Date: 2008-Mar
Pages: 11
Abstractor: Author
Reference Count: 0
ISBN: N/A
ISSN: ISSN-0012-1649
An Overview of Markov Chain Methods for the Study of Stage-Sequential Developmental Processes
Kapland, David
Developmental Psychology, v44 n2 p457-467 Mar 2008
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.
American Psychological Association. Journals Department, 750 First Street NE, Washington, DC 20002-4242. Tel: 800-374-2721; Tel: 202-336-5510; Fax: 202-336-5502; e-mail: order@apa.org; Web site: http://www.apa.org/publications
Publication Type: Journal Articles; Reports - Descriptive
Education Level: Early Childhood Education; Kindergarten
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A