he National Agency for the Evaluation of Universities and Research (ANVUR) has for some decades defined the criteria for systematically evaluating student satisfaction. The analysis of these data presents various difficulties both in terms of data collection and analysis. The aim of this work is to propose Cande- comp/Parafac for a compositional analysis, which is able to capture the multidi- mensional aspects of the phenomenon taking into account its ordinal nature and the temporal characteristics of data collection.
How to improve the Quality Assurance System of the Universities: a study based on compositional analysis / Bertaccini, B; Gallo, M; Simonacci, V; Menini, T. - (2018), pp. 972-975. (Intervento presentato al convegno 49th Scientific meeting of the Italian Statistical Society tenutosi a Palermo nel 20-22 June 2018).
How to improve the Quality Assurance System of the Universities: a study based on compositional analysis
Gallo M;Simonacci V;
2018
Abstract
he National Agency for the Evaluation of Universities and Research (ANVUR) has for some decades defined the criteria for systematically evaluating student satisfaction. The analysis of these data presents various difficulties both in terms of data collection and analysis. The aim of this work is to propose Cande- comp/Parafac for a compositional analysis, which is able to capture the multidi- mensional aspects of the phenomenon taking into account its ordinal nature and the temporal characteristics of data collection.File | Dimensione | Formato | |
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