Multilevel Models for Intensive Longitudinal Data with Heterogeneous Autoregressive Errors: The Effect of Misspecification and Correction with Cholesky Transformation

Intensive longitudinal studies, such as ecological momentary assessment studies using electronic diaries, are gaining popularity across many areas of psychology. Multilevel models (MLMs) are most widely used analytical tools for intensive longitudinal data (ILD). Although ILD often have individually...

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Detalles Bibliográficos
Autores principales: Jahng, Seungmin, Wood, Phillip K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Psychology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5323419/
https://www.ncbi.nlm.nih.gov/pubmed/28286490
http://dx.doi.org/10.3389/fpsyg.2017.00262

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5323419/
https://www.ncbi.nlm.nih.gov/pubmed/28286490
http://dx.doi.org/10.3389/fpsyg.2017.00262

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