The literature has suggested that students' progress at university is influenced by their personal characteristics; this article examines whether these factors act differently according to the study fields of degree courses in which students are enrolled. In particular, the factors influencing the various outcomes of the university programme (withdrawals, course changes, delays, completion of degrees) in three-year degree courses in a large Italian university are analysed from the perspective of study fields. The authors examined the records of over 32,000 students enrolling from academic years 2002/3 to 2005/6 in 84 first-cycle degree courses, grouped in four different fields of study. Analyses were conducted by considering the time dimension within the methodological approach of survival analysis, by means of individual longitudinal data from university administrative archives. A discrete-time method for competing risks event history analysis was applied to study the determinants of university outcomes in the various fields of study.

The determinants of academic outcomes in a competing risks approach: evidence from Italy

CLERICI, RENATA;GIRALDO, ANNA;MEGGIOLARO, SILVIA
2015

Abstract

The literature has suggested that students' progress at university is influenced by their personal characteristics; this article examines whether these factors act differently according to the study fields of degree courses in which students are enrolled. In particular, the factors influencing the various outcomes of the university programme (withdrawals, course changes, delays, completion of degrees) in three-year degree courses in a large Italian university are analysed from the perspective of study fields. The authors examined the records of over 32,000 students enrolling from academic years 2002/3 to 2005/6 in 84 first-cycle degree courses, grouped in four different fields of study. Analyses were conducted by considering the time dimension within the methodological approach of survival analysis, by means of individual longitudinal data from university administrative archives. A discrete-time method for competing risks event history analysis was applied to study the determinants of university outcomes in the various fields of study.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/2802515
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