Open Conference Systems, 50th Scientific meeting of the Italian Statistical Society

Font Size: 
Benefits of the Erasmus mobility experience: a discrete latent variable analysis
silvia bacci, valeria caviezel, anna maria falzoni

Last modified: 2018-05-18


Internationalization of higher education has become a priority in the Europeaneducation policy. For this reason, research in this area is expanding with theaim of understanding motivations and potential benefits of international mobility. Insuch a context, an online survey addressed to about 1,600 students with Erasmusmobility experiences was conducted by the University of Bergamo (IT). Two latenttraits, that is, the impact of the Erasmus experience on the student’s abilities and thestudent’s satisfaction for this experience, are analyzed through a two-dimensionallatent class Item Response Theory model under a concomitant variable approach.The twofold issue concerning the choice of the optimal number of latent classes aswell as the selection of significant covariates is specially addressed.


Bacci, S., Bartolucci, F., Gnaldi, M.: A class of multidimensional latent class IRT models forordinal polytomous item responses. Commun Stat Theory Methods 43, 787 – 800 (2014)

Bartolucci, F., Bacci, S., Gnaldi, M.: Statistical analysis of questionnaires: A unified approachbased on R and Stata. Chapman & Hall/CRC Press, Boca Raton (2015)

CHE Consult, Brussels Education Services, Centrum fur Hochschulentwicklung, CompostelaGroup of Universities, Erasmus Student Network: The Erasmus impact study. European Commission,Brussels (2014)

CHE Consult GmbH and CHE Consult Prague s.r.o.: The Erasmus impact study. RegionalAnalysis. European Commission, Brussels (2016)

European Commission: Erasmus - Facts, Figures & Trends. Publications Office of the EuropeanUnion, Luxembourg (2015)

Formann, A. K.: Mixture analysis of multivariate categorical data with covariates and missingentries. Comput Stat Data Anal 51, 5236 – 5246 (2007)

Full Text: PDF