Multivariate permutation tests for evaluating effectiveness of universities through the analysis of student dropouts

digital

Articolo

Rivista

STATISTICA & APPLICAZIONI

Sezione

Open Access

Titolo

Multivariate permutation tests for evaluating effectiveness of universities through the analysis of student dropouts

Autori

Stefano Bonnini, Luigi Salmaso, Aldo Solari

Editore

Vita e Pensiero

Formato

Articolo |

Pdf

Lingua

inglese

Online da

06-2016

Issn

1824-6672 (stampa) | 2283-6659 (digitale)

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Descrizione Commenti dei lettori

This paper deals with the problem of testing for dropping out (by censoring all graduate students) in analogy with survival analysis. A conditional test based on the probability of dropout and on the distribution of observed time to dropout is given. The application of the proposed solution to all students who began one of the three new laurea programs in the Civil Area of the Faculty of Engineering at the University of Padua is presented. A simulation study shows that the proposed solution presents a very good overall performance.

Keywords: Competing Risks, Permutation test, Nonparametric combination, Survival analysis, Unequal censoring.

Biografia degli autori

Stefano Bonnini, Dipartimento di Scienze Statistiche – Università degli Studi di Padova – via C. Battisti, 241, 35121 PADOVA (e-mail: bonnini@stat.unipd.it)
Luigi Salmaso, Dipartimento di Tecnica e Gestione dei Sistemi Industriali – Università degli Studi di Padova – stradella San Nicola, 3, 36100 VICENZA (e-mail: salmaso@gest.unipd.it).
Aldo Solari, Dipartimento di Scienze Statistiche – Università degli Studi di Padova – via C. Battisti, 241, 35121 PADOVA (e-mail: solari@stat.unipd.it).

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