On the Trajectories of the Predetermined ALT Model: What Are We Really Modeling?

Autor/inn/en	Jongerling, Joran; Hamaker, Ellen L.
Titel	On the Trajectories of the Predetermined ALT Model: What Are We Really Modeling?
Quelle	In: Structural Equation Modeling: A Multidisciplinary Journal, 18 (2011) 3, S.370-382 (13 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1070-5511
Schlagwörter	Statistics; Structural Equation Models; Scores; Predictor Variables; Statistical Analysis; Researchers; Predictive Measurement; Computation; Equations (Mathematics); Evaluation + Suchen Sie Ihr Suchwort? Statistik; Prädiktor; Statistische Analyse; Researcher; Forscher; Equations; Mathematics; Gleichungslehre; Evaluierung
Abstract	This article shows that the mean and covariance structure of the predetermined autoregressive latent trajectory (ALT) model are very flexible. As a result, the shape of the modeled growth curve can be quite different from what one might expect at first glance. This is illustrated with several numerical examples that show that, for example, a linear trajectory might be present among the model predicted scores even though no latent change parameter was included in the model. In addition, 2 examples are given that show that the predetermined ALT model can fit to data generated by models with model structures that are rather different from that of the ALT model itself. The practical relevance of these findings is demonstrated using an empirical example. We end by providing recommendations for researchers considering the use of the predetermined ALT model. (Contains 6 figures and 2 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