ERIC Number: EJ933087
Record Type: Journal
Publication Date: 2011
Abstractor: As Provided
Reference Count: 11
On the Trajectories of the Predetermined ALT Model: What Are We Really Modeling?
Jongerling, Joran; Hamaker, Ellen L.
Structural Equation Modeling: A Multidisciplinary Journal, v18 n3 p370-382 2011
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.)
Descriptors: Statistics, Structural Equation Models, Scores, Predictor Variables, Statistical Analysis, Models, Researchers, Predictive Measurement, Computation, Equations (Mathematics), Evaluation
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
Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Authoring Institution: N/A