Using structural equation modeling to detect response shifts and true change in discrete variables: an application to the items of the SF-36

PURPOSE: The structural equation modeling (SEM) approach for detection of response shift (Oort in Qual Life Res 14:587–598, 2005. doi:10.1007/s11136-004-0830-y) is especially suited for continuous data, e.g., questionnaire scales. The present objective is to explain how the SEM approach can be appli...

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Detalles Bibliográficos
Autores principales: Verdam, Mathilde G. E., Oort, Frans J., Sprangers, Mirjam A. G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2015
Materias:
Special Section: Response Shift Effects at Item Level (by invitation only)
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4870306/
https://www.ncbi.nlm.nih.gov/pubmed/26694962
http://dx.doi.org/10.1007/s11136-015-1195-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4870306/
https://www.ncbi.nlm.nih.gov/pubmed/26694962
http://dx.doi.org/10.1007/s11136-015-1195-0

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