1. Adelfio, G., & Boscaino, G. (2013). The student talent in a random effects Quantile Regression Model for university performance. In V. M. R. Muggeo, V. Capursi, G. Boscaino, & G. Lovison (Eds). Proceedings of the 28th international workshop on statistical modelling (Vol. 2, pp. 479–483). Istituto Poligrafico Europeo Casa editrice.
2. Agasisti, T., & Dal Bianco, A. (2009). Reforming the university sector: Effects on teaching efficiency—evidence from Italy. Higher education, (Vol. 57, pp. 477–498). Springer Science.
3. Attanasio, M., Boscaino, G., Capursi, V., & Plaia, A. (2013). May the students’ career performance helpful in predicting an increase in universities income? In P. Giudici, S. Ingrassia, & M. Vichi (Eds.), Statistical models for data analysis, series in studies in classification, data analysis, and knowledge organization (pp. 9–16). Switzerland: Springer International Publishing.
4. Baker, S. (2011). ’Two tribes’ to the wall? Elite set may adopt GPA. At the heart of the higher education debate. http://www.timeshighereducation.co.uk/416582.article . Accessed 1 November 2013
5. Biggs, J., & Tang, C. (2007). Teaching for quality learning at university (3rd ed.). Berkshire: McGraw Hill, Society for Research into Higher Education & Open University Press.