Análisis de datos longitudinales y de curvas de crecimiento: enfoque clásico y propuestas actuales

• Autores: Jaume Arnau Gras, Nekane Balluerka Lasa
• Localización: Psicothema, ISSN-e 1886-144X, ISSN 0214-9915, Vol. 16, Nº. 1, 2004, págs. 156-162
• Idioma: español
• Enlaces
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• Dialnet Métricas: 7 Citas
• Resumen

  • En el presente trabajo se examinan los principales modelos de análisis aplicados a datos longitudinales y de curvas de crecimiento. Se parte de un enfoque clásico que abarca los modelos de análisis univariado y multivariado de la variancia de medidas repetidas, para proseguir con el MANOVA generalizado (GMANOVA) y con el modelo multinivel de dos estadíos, que constituye la base para el desarrollo del modelo general lineal mixto. Por último, se aborda el modelo multinivel para datos longitudinales y de curvas de crecimiento. Se describen las características y los supuestos esenciales de cada modelo, tratando de poner de manifiesto las razones por las que han ido emergiendo los sucesivos modelos y de establecer las principales similitudes y diferencias existentes entre ellos. Se concluye que los modelos lineales jerárquicos para datos longitudinales constituyen una excelente alternativa para realizar investigaciones aplicadas en el ámbito de las ciencias sociales y del comportamiento.

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