Literaturnachweis - Detailanzeige
Autor/inn/en | Tong, Xin; Zhang, Zhiyong |
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Titel | Diagnostics of Robust Growth Curve Modeling Using Student's "t" Distribution |
Quelle | In: Multivariate Behavioral Research, 47 (2012) 4, S.493-518 (26 Seiten)
PDF als Volltext |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 0027-3171 |
DOI | 10.1080/00273171.2012.692614 |
Schlagwörter | Models; Robustness (Statistics); Statistical Analysis; Error of Measurement; Computation; Comparative Analysis; Nonverbal Ability; Mathematics Achievement; National Longitudinal Survey of Youth; Peabody Individual Achievement Test |
Abstract | Growth curve models with different types of distributions of random effects and of intraindividual measurement errors for robust analysis are compared. After demonstrating the influence of distribution specification on parameter estimation, 3 methods for diagnosing the distributions for both random effects and intraindividual measurement errors are proposed and evaluated. The methods include (a) distribution checking based on individual growth curve analysis; (b) distribution comparison based on Deviance Information Criterion, and (c) post hoc checking of degrees of freedom estimates for "t" distributions. The performance of the methods is compared through simulation studies. When the sample size is reasonably large, the method of post hoc checking of degrees of freedom estimates works best. A web interface is developed to ease the use of the 3 methods. Application of the 3 methods is illustrated through growth curve analysis of mathematical ability development using data on the Peabody Individual Achievement Test Mathematics assessment from the National Longitudinal Survey of Youth 1997 Cohort (Bureau of Labor Statistics, U.S. Department of Labor, 2005). (Contains 5 figures, 2 footnotes 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 |