This paper focuses on students credits earning speed over time and its determinants, dealing with the huge percentage of students who do not take the degree within the legal duration in the Italian University System. A new indicator for the performance of the student career is proposed on real data, concerning the cohort of students enrolled at a Faculty of the University of Palermo (followed for 7 years). The new indicator highlights a typical zero-inflated distribution and suggests to investigate the effect of the degree course (DC) change on the student career. A mixed-effect model for overdispersed data is considered, with the aim of taking into account the individual variability as well, due to the longitudinal nature of data. Results show the significant positive effect of the DC change on the student performance.
Adelfio, G., & Boscaino, G. (2016). Degree course change and student performance: a mixed-effect approach. JOURNAL OF APPLIED STATISTICS, 43(1), 3-15 [10.1080/02664763.2015.1018673].
Data di pubblicazione: | 2016 | |
Titolo: | Degree course change and student performance: a mixed-effect approach | |
Autori: | BOSCAINO, Giovanni (Corresponding) | |
Citazione: | Adelfio, G., & Boscaino, G. (2016). Degree course change and student performance: a mixed-effect approach. JOURNAL OF APPLIED STATISTICS, 43(1), 3-15 [10.1080/02664763.2015.1018673]. | |
Rivista: | ||
Digital Object Identifier (DOI): | http://dx.doi.org/10.1080/02664763.2015.1018673 | |
Abstract: | This paper focuses on students credits earning speed over time and its determinants, dealing with the huge percentage of students who do not take the degree within the legal duration in the Italian University System. A new indicator for the performance of the student career is proposed on real data, concerning the cohort of students enrolled at a Faculty of the University of Palermo (followed for 7 years). The new indicator highlights a typical zero-inflated distribution and suggests to investigate the effect of the degree course (DC) change on the student career. A mixed-effect model for overdispersed data is considered, with the aim of taking into account the individual variability as well, due to the longitudinal nature of data. Results show the significant positive effect of the DC change on the student performance. | |
Settore Scientifico Disciplinare: | Settore SECS-S/05 - Statistica Sociale Settore SECS-S/01 - Statistica | |
Appare nelle tipologie: | 1.01 Articolo in rivista |
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