The Multigroup Multilevel Categorical Latent Growth Curve Models

Autor/in	Hung, Lai-Fa
Titel	The Multigroup Multilevel Categorical Latent Growth Curve Models
Quelle	In: Multivariate Behavioral Research, 45 (2010) 2, S.359-392 (34 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0027-3171
Schlagwörter	Longitudinal Studies; Data; Models; Markov Processes; Monte Carlo Methods; Computation; Computer Software; Simulation; Attitude Measures; Bayesian Statistics + Suchen Sie Ihr Suchwort? Longitudinal study; Longitudinal method; Longitudinal methods; Längsschnittuntersuchung; Daten; Analogiemodell; Markowscher Prozess; Monte-Carlo-Methode; Simulation program; Simulationsprogramm
Abstract	Longitudinal data describe developmental patterns and enable predictions of individual changes beyond sampled time points. Major methodological issues in longitudinal data include modeling random effects, subject effects, growth curve parameters, and autoregressive residuals. This study embedded the longitudinal model within a multigroup multilevel framework and allowed for autoregressive residuals. The parameter in the new model can be estimated using the computer program WinBUGS, which adopts Markov Chain Monte Carlo algorithms. Two simulation studies were conducted. An empirical example was raised and established based on models generated by the results of empirical data, which have been fitted and compared. (Contains 3 figures and 8 tables.) (As Provided).
Anmerkungen	Psychology Press. Available from: Taylor & Francis, Ltd. 325 Chestnut Street Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420; Fax: 215-625-2940; Web site: http://www.tandf.co.uk/journals
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10