811
Views
11
CrossRef citations to date
0
Altmetric
Original Articles

A biclustering approach to university performances: an Italian case study

, &
Pages 31-45 | Received 16 Feb 2014, Accepted 14 Jan 2015, Published online: 16 Feb 2015

References

  • M. Abbott and C. Doucouliagos, The efficiency of Australian universities: A data envelopment analysis, Econ. Educ. Rev. 22 (2003), pp. 89–97. doi: 10.1016/S0272-7757(01)00068-1
  • P. Arabie and L. Hubert, Iterative projection strategies for the least-squares fitting of graph theoretic structures to proximity data, Research Report RR-94-02, Department of Data Theory, University of Leiden, Leiden, 1994.
  • W. Arulampalam, R.A. Naylor, and J.P. Smith, A hazard model of the probability of medical school drop-out in the UK, J. R. Stat. Soc. Ser. A 167 (2004), pp. 157–178. doi: 10.1046/j.0964-1998.2003.00717.x
  • F. Belloc, A. Maruotti, and L. Petrella, University drop-out: An Italian experience, Higher Educ. 60 (2010), pp. 127–138. doi: 10.1007/s10734-009-9290-1
  • F. Belloc, A. Maruotti, and L. Petrella, How individual characteristics affect university students drop-out: A semiparametric mixed-effects model for an Italian case study, J. Appl. Stat. 38 (2011), pp. 2225–2239. doi: 10.1080/02664763.2010.545373
  • F. Belloc, A. Maruotti, and L. Petrella, A correlated random effects model for longitudinal data with non-ignorable drop-out: An application to university student performance, in Advanced Statistical Methods for the Analysis of Large Data-Sets, A. Di Ciaccio, M. Coli, and J.M.A. Ibanez, eds., Springer, Berlin, 2012, pp. 127–136.
  • L. Biggeri, M. Bini, and L. Grilli, The transition from university to work: A multilevel approach to the analysis of the time to obtain the first job, J. R. Stat. Soc. Ser. A 164 (2001), pp. 293–305. doi: 10.1111/1467-985X.00203
  • M. Bini, B. Bertaccini, and S. Bacci, Robust diagnostics in university performance studies, in Statistical Methods for the Evaluation of Educational Services and Quality of Products, P. Monari, M. Bini, D. Piccolo, and L. Salmaso, eds., Physica-Verlag HD, Heidelberg, 2009, pp. 139–160.
  • H. Bozdogan, Multi-sample cluster analysis and approaches to validity studies in clustering. Ph.D. diss., Department of Mathematics, University of Illinois, Champaign, IL, 1981.
  • H. Bozdogan, Choosing the number of component clusters in the mixture-model using a new informational complexity criterion on the inverse-Fisher information matrix, in Information and Classification, O. Opitz, B. Lause, and R. Klar, eds., Springer, Berlin, 1993, pp. 40–54.
  • Censis, La Grande Guida Universitá 2012–2013, 2012.
  • W. Fisher, Clustering and Aggregation in Economics, Johns Hopkins, Baltimore, MD, 1969.
  • C. Fraley and A.E. Raftery, Model-based clustering, discriminant analysis and density estimation, J. Am. Stat. Assoc. 97 (2002), pp. 611–631. doi: 10.1198/016214502760047131
  • J.A. Hartigan, Direct clustering of a data matrix, J. Am. Stat. Assoc. 67 (1972), pp. 123–129. doi: 10.1080/01621459.1972.10481214
  • A. Ibáñez, P. Larrañaga, and C. Bielza, Cluster methods for assessing research performance: Exploring Spanish computer science, Scientometrics 97 (2013), pp. 571–600. doi: 10.1007/s11192-013-0985-9
  • I.T. Jolliffe, B. Jones, and B.J.T. Morgan, Cluster analysis of the elderly at home: A case study, in Data and Informatics, E. Diday, L. Lebart, J.P. Pagès, and R. Tomassone, eds., North Holland, Amsterdam, 1980, pp. 745–757.
  • J. Macri and D. Sinha, Rankings methodology for international comparisons of institutions and individuals: An application to economics in Australia and New Zealand, J. Econ. Surv. 20 (2006), pp. 111–156. doi: 10.1111/j.0950-0804.2006.00277.x
  • S.C. Madeira and A.L. Oliveira, Biclustering algorithms for biological data analysis: A survey, IEEE/ACM Trans. Comput. Biol. Bioinform. 1 (2004), pp. 24–45. doi: 10.1109/TCBB.2004.2
  • F. Martella, M. Alfó, and M. Vichi, Biclustering of gene expression data by an extension of mixture of factor analyzers, Int. J. Biostat. 4 (2008) (article 3). doi:10.2202/1557-4679.1078
  • G.J. McLachlan and D. Peel, Finite Mixture Models, Wiley, New York, 2000.
  • X.-L. Meng and D. van Dyk, The EM algorithm – An old folk-song sung to a fast tune (with discussion), J. R. Stat. Soc. Ser. B 59 (1997), pp. 511–567. doi: 10.1111/1467-9868.00082
  • OECD, Education at a Glance 2008: OECD Indicators, OECD, Paris, 2008.
  • R. Pomfret and L.C. Wang, Evaluating the research output of Australian universities' economics departments, Aust. Econ. Pap. 42 (2003), pp. 418–441. doi: 10.1111/1467-8454.00208
  • C. Rampichini, L. Grilli, and A. Petrucci, Analysis of university course evaluations: From descriptive measures to multilevel models, Stat. Methods Appl. 13 (2004), pp. 357–373.
  • D.J. Smyth and D. Smyth, The research output of economics departments: Some league tables, Econ. Issues 6 (2001), pp. 79–85.
  • I. Stolz, D.D. Hendel, and A.S. Horn, Ranking of rankings: Benchmarking twenty-five higher education ranking systems in Europe, Higher Educ. 60 (2010), pp. 507–528. doi: 10.1007/s10734-010-9312-z
  • M. Triventi and P. Trivellato, Participation, performance and inequality in Italian higher education in the 20th century, Higher Educ. 57 (2009), pp. 681–702. doi: 10.1007/s10734-008-9170-0
  • A. Valadkhani and S. Ville, Ranking and clustering of the faculties of commerce research performance in Australia, Appl. Econ. 42 (2009), pp. 2881–2895. doi: 10.1080/00036840801964674
  • M.H. Van Edem, An Analysis of Complexity, Mathematical Centre Tracts, Mathematisch Centrum Amsterdam, Amsterdam, 1971.
  • I. Van Mechelen, H.-H. Bock, and P. De Boeck, Two-mode clustering methods: A structured overview, Stat. Methods Med. Res. 13 (2004), pp. 363–394. doi: 10.1191/0962280204sm373ra
  • J.H. Wolfe, Pattern clustering by multivariate mixture analysis, Multivariate Behav. Res. 5 (1970), pp. 329–350. doi: 10.1207/s15327906mbr0503_6
  • J.H. Wolfe, A Monte-Carlo study of the sampling distribution of the likelihood ratio for mixtures of multinormal distribution, Research Memorandum, 72-2, U.S. Naval Personnel Research Activity, San Diego, CA, 1971.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.