Using LISREL to Fit Nonlinear Latent Curve Models |
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| Authors: | Shelley A. Blozis Jeffrey R. Harring Gerhard Mels |
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| Affiliation: | 1. University of California , Davis;2. University of Maryland;3. Scientific Software International, Inc. |
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| Abstract: | 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. |
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