Aim of the contribution is to illustrate the use of a three-level mixture Item Response Theory (IRT) model to classify university courses in homogeneous classes with respect to the level of students’ satisfaction. We rely on the Ital- ian questionnaire concerning the university teaching evaluation and composed by polytomously-scored items. Firstly, we detect the latent variables measured by the questionnaire items, performing a model-based hierarchical clustering. Secondly, we estimate a special case of multilevel mixture factor model characterized by (i) an IRT parametrization and (ii) discrete latent variables at all hierarchical levels. It has three-levels taking into account the hierarchical structure of the data: item re- sponses at level 1, students at level 2, and university courses at level 3. The proposed model is illustrated through an application on students’ satisfaction about courses of the Faculty of Political Sciences of the University of Perugia.

Multilevel mixture IRT models: an application to the university teaching evaluation / Bacci S.; Gnaldi M.. - ELETTRONICO. - (2012), pp. 0-0.

Multilevel mixture IRT models: an application to the university teaching evaluation

Bacci S.;
2012

Abstract

Aim of the contribution is to illustrate the use of a three-level mixture Item Response Theory (IRT) model to classify university courses in homogeneous classes with respect to the level of students’ satisfaction. We rely on the Ital- ian questionnaire concerning the university teaching evaluation and composed by polytomously-scored items. Firstly, we detect the latent variables measured by the questionnaire items, performing a model-based hierarchical clustering. Secondly, we estimate a special case of multilevel mixture factor model characterized by (i) an IRT parametrization and (ii) discrete latent variables at all hierarchical levels. It has three-levels taking into account the hierarchical structure of the data: item re- sponses at level 1, students at level 2, and university courses at level 3. The proposed model is illustrated through an application on students’ satisfaction about courses of the Faculty of Political Sciences of the University of Perugia.
2012
CLEUP
ITA
Okada, Vicari, Ragozini (eds.)
Analysis and modeling of complex data in behavioural and social sciences
Bacci S.; Gnaldi M.
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1151277
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