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ERIC Number: EJ791596
Record Type: Journal
Publication Date: 2008-Apr
Pages: 24
Abstractor: Author
Reference Count: 25
ISSN: ISSN-1070-5511
Using LISREL to Fit Nonlinear Latent Curve Models
Blozis, Shelley A.; Harring, Jeffrey R.; Mels, Gerhard
Structural Equation Modeling: A Multidisciplinary Journal, v15 n2 p346-369 Apr 2008
Latent curve models offer a flexible approach to the study of longitudinal data when the form of change in a response is nonlinear. This article considers such models that are conditionally linear with regard to the random coefficients at the 2nd level. This framework allows fixed parameters to enter a model linearly or nonlinearly, and random coefficients at the 2nd level may only enter linearly. Beginning with LISREL 8.80 for Windows, such models can be fitted, giving users greater flexibility in model specification. An example with LISREL syntax is provided. (Contains 3 figures, 4 tables, and 3 footnotes.)
Lawrence Erlbaum. Available from: Taylor & Francis, Ltd. 325 Chestnut Street Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420; Fax: 215-625-2940; Web site:
Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A