Missing item responses in latent growth analysis: Item response theory versus classical test theory.

Gorter, R; Fox, J-P; Eekhout, I; Heymans, M W; Twisk, Jwr

Gorter, R; Fox, J-P; Eekhout, I; Heymans, M W; Twisk, Jwr.

Afiliación

Gorter R; Brain research & Innovation Centre, Ministry of Defence, Utrecht, The Netherlands.
Fox JP; Department of Research Methodology, Measurement, and Data Analysis, Faculty of Behavioural, Management & Social Sciences, University of Twente, Enschede, The Netherlands.
Eekhout I; TNO Child Health, Netherlands Organization for Applied Scientific Research, Leiden, The Netherlands.
Heymans MW; Department of Epidemiology and Biostatistics, Amsterdam Public Health research institute, Amsterdam University Medical Centre, Amsterdam, The Netherlands.
Twisk J; Department of Epidemiology and Biostatistics, Amsterdam Public Health research institute, Amsterdam University Medical Centre, Amsterdam, The Netherlands.

Stat Methods Med Res ; 29(4): 996-1014, 2020 04.

Article en En | MEDLINE | ID: mdl-32338179

Asunto(s)

Interpretación Estadística de Datos; Funciones de Verosimilitud

Palabras clave

Missing data; classical test theory; longitudinal data; multilevel item response theory; multiple imputation; questionnaires

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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Interpretación Estadística de Datos Idioma: En Revista: Stat Methods Med Res Año: 2020 Tipo del documento: Article País de afiliación: Países Bajos

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