From 2001 Italian university system has adopted the credits to mea- sure the workload of the students. The weighted mean of marks with credits as weights is used to measure the their performance. In our opinion it does not seem a proper way to measure. We suggest to adopt the median of the weighted marks, because we are considering an ordinale variable, with a non-normal empir- ical distribution, and a®ected by outliers. Then, instead of using an OLS multiple regression, we investigate the determinants of the performance measured by the median using a regression quantile for ordinal response. A real dataset concerning 133 students of the Faculty of Economics of the University of Palermo is consid- ered. Results show how the quantile regression is more able than the OLS one to catch the e®ect of each covariate on student performance.
Adelfio, G., Boscaino, G., & Capursi, V. (2012). Regression quantiles to assess higher education performance. In Proceedings of the 27th International Workshop on Statistical Modelling (pp.401).
Autori: | Adelfio, G.; Boscaino, G.; Capursi, V. | |
Titolo: | Regression quantiles to assess higher education performance | |
Settore Scientifico Disciplinare: | Settore SECS-S/01 - Statistica Settore SECS-S/05 - Statistica Sociale | |
Data di creazione: | 2012-07 | |
Nome del convegno: | International Worshop on Statistical Modelling | |
Luogo del convegno: | Praga | |
Anno del convegno: | July 16-20 , 2012 | |
Numero del convegno: | 27th | |
Data di pubblicazione: | 2012 | |
Numero di pagine: | 6 | |
Citazione: | Adelfio, G., Boscaino, G., & Capursi, V. (2012). Regression quantiles to assess higher education performance. In Proceedings of the 27th International Workshop on Statistical Modelling (pp.401). | |
Tipologia: | 0 - Proceedings (TIPOLOGIA NON ATTIVA) | |
Appare nelle tipologie: | 0 - Proceedings (TIPOLOGIA NON ATTIVA) |
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