Analyzing latent state-trait and multiple-indicator latent growth curve models as multilevel structural equation models

Latent state-trait (LST) and latent growth curve (LGC) models are frequently used in the analysis of longitudinal data. Although it is well-known that standard single-indicator LGC models can be analyzed within either the structural equation modeling (SEM) or multilevel (ML; hierarchical linear mode...

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Detalles Bibliográficos
Autores principales: Geiser, Christian, Bishop, Jacob, Lockhart, Ginger, Shiffman, Saul, Grenard, Jerry L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2013
Materias:
Psychology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3874722/
https://www.ncbi.nlm.nih.gov/pubmed/24416023
http://dx.doi.org/10.3389/fpsyg.2013.00975

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3874722/
https://www.ncbi.nlm.nih.gov/pubmed/24416023
http://dx.doi.org/10.3389/fpsyg.2013.00975

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