ERIC Number: EJ780227
Record Type: Journal
Publication Date: 2007-Sep
Pages: 23
Abstractor: Author
ISBN: N/A
ISSN: ISSN-0033-3123
EISSN: N/A
A Latent Transition Model with Logistic Regression
Chung, Hwan; Walls, Theodore A.; Park, Yousung
Psychometrika, v72 n3 p413-435 Sep 2007
Latent transition models increasingly include covariates that predict prevalence of latent classes at a given time or transition rates among classes over time. In many situations, the covariate of interest may be latent. This paper describes an approach for handling both manifest and latent covariates in a latent transition model. A Bayesian approach via Markov chain Monte Carlo (MCMC) is employed in order to achieve more robust estimates. A case example illustrating the model is provided using data on academic beliefs and achievement in a low-income sample of adolescents in the United States.
Descriptors: Markov Processes, Academic Achievement, Models, Case Studies, Adolescents, Beliefs, Economically Disadvantaged, Bayesian Statistics
Springer. 233 Spring Street, New York, NY 10013. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-348-4505; e-mail: service-ny@springer.com; Web site: http://www.springerlink.com
Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: National Inst. on Drug Abuse (DHHS/PHS), Rockville, MD.; Pennsylvania State Univ., University Park.; National Inst. of Mental Health (DHHS), Bethesda, MD.
Authoring Institution: N/A
Grant or Contract Numbers: N/A