Longitudinal data: different approaches in the context of item-response theory models
In this paper, some extended Rasch models are analyzed in the presence of longitudinal measurements of a latent variable. Two main approaches, multidimensional and multilevel, are compared: we investigate the different information that can be obtained from the latent variable, and we
give advice on the use of the different kinds of models. The multidimensional and multilevel approaches are illustrated with a simulation study and with a longitudinal study on the health-related quality of life in terminal cancer patients.
Keywords: Rasch model; health-related quality of life; latent variable; multidimensional model; multilevel model
Document Type: Research Article
Affiliations: Dipartimento di Economia, Finanza e Statistica,Università degli Studi di Perugia, Perugia, Italy
Publication date: 01 September 2012
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