Multidimensional item response theory models for dichotomous data in customer satisfaction evaluation

Federico Andreis and Pier Alda Ferrari

Journal of Applied Statistics, 2014, vol. 41, issue 9, 2044-2055

Abstract: In this paper, multidimensional item response theory models for dichotomous data, developed in the fields of psychometrics and ability assessment, are discussed in connection with the problem of evaluating customer satisfaction. These models allow us to take into account latent constructs at various degrees of complexity and provide interesting new perspectives for services quality assessment. Markov chain Monte Carlo techniques are considered for estimation. An application to a real data set is also presented.

Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:taf:japsta:v:41:y:2014:i:9:p:2044-2055

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DOI: 10.1080/02664763.2014.907395

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