Dissimilarity profile analysis (DPA) is introduced as an explorative tool for object-oriented data analysis techniques that address the problem of latent dimension extraction by using proximity measures. Potentialities of DPA are shown within a case study from Italian universities, where undergraduate courses are examined with respect to students' enrolment, career, and degree attainment.
Solaro, N. (2012). Dissimilarity profile analysis: a case study from Italian universities. ELECTRONIC JOURNAL OF APPLIED STATISTICAL ANALYSIS, 5(3), 438-444 [10.1285/i20705948v5n3p438].
Dissimilarity profile analysis: a case study from Italian universities
SOLARO, NADIA
2012
Abstract
Dissimilarity profile analysis (DPA) is introduced as an explorative tool for object-oriented data analysis techniques that address the problem of latent dimension extraction by using proximity measures. Potentialities of DPA are shown within a case study from Italian universities, where undergraduate courses are examined with respect to students' enrolment, career, and degree attainment.
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