Multidimensional IRT models (MIRTM), developed in the fields of psychometrics and ability assessment, are here considered in connection with the problem of evaluating customer satisfaction. Different models, that allow us to take into account more complex and, possibly, more realistic latent constructs than those usually assumed, are presented and discussed. Eventually, these models are applied to a real dataset, MCMC techniques for the estimation are implemented and analogies and differences with results from previous analyses on the same survey in the literature are discussed.

Multidimensional extensions of IRT models and their application to customer satisfaction evaluation / F. Andreis, P.A. Ferrari. - In: QUADERNI DI STATISTICA. - ISSN 1594-3739. - 14:(2012). ((Intervento presentato al convegno Methods and Models for Latent Variables tenutosi a Napoli nel 2012.

Multidimensional extensions of IRT models and their application to customer satisfaction evaluation

F. Andreis
Primo
;
P.A. Ferrari
Ultimo
2012

Abstract

Multidimensional IRT models (MIRTM), developed in the fields of psychometrics and ability assessment, are here considered in connection with the problem of evaluating customer satisfaction. Different models, that allow us to take into account more complex and, possibly, more realistic latent constructs than those usually assumed, are presented and discussed. Eventually, these models are applied to a real dataset, MCMC techniques for the estimation are implemented and analogies and differences with results from previous analyses on the same survey in the literature are discussed.
Binary Responses ; Compensatory models ; Mirt
Settore SECS-S/01 - Statistica
CFEPSR Centro per la formazione in economia e politica dello sviluppo rurale Università di Napoli Federico II
Dipartimento di scienze statistiche Università di Salerno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/179306
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