The heterogeneity of the Higher Education (HE) Institutions is one of the main critical issues to address properly the assessment of systemic performance. We adopt a multi-level perspective by combining national (macro) and institution (micro) level data and analyses. We combine clustering and efficiency analysis to characterize the heterogeneity of HE systems (at the national level) exploiting micro level data. We show also the potential of using micro level data to characterize national level performance. The obtained results may provide a quantitative support to identify the higher education institutions that need to be further investigated through qualitative case studies in political science analyses of HE systems.
Characterizing the heterogeneity of European higher education institutions combining cluster and efficiency analyses / Bruni, R.; Catalano, G.; Daraio, C.; Gregori, M.; Moed, H. F.. - 2:(2019), pp. 2094-2105. (Intervento presentato al convegno 17th International Conference on Scientometrics and Informetrics, ISSI 2019 tenutosi a Sapienza University of Rome, ita).
Characterizing the heterogeneity of European higher education institutions combining cluster and efficiency analyses
Bruni R.
;Catalano G.
;Daraio C.
;Gregori M.
;Moed H. F.
2019
Abstract
The heterogeneity of the Higher Education (HE) Institutions is one of the main critical issues to address properly the assessment of systemic performance. We adopt a multi-level perspective by combining national (macro) and institution (micro) level data and analyses. We combine clustering and efficiency analysis to characterize the heterogeneity of HE systems (at the national level) exploiting micro level data. We show also the potential of using micro level data to characterize national level performance. The obtained results may provide a quantitative support to identify the higher education institutions that need to be further investigated through qualitative case studies in political science analyses of HE systems.File | Dimensione | Formato | |
---|---|---|---|
Bruni_Postprint_Characterizing-the-heterogeneity_2019.pdf
accesso aperto
Tipologia:
Documento in Post-print (versione successiva alla peer review e accettata per la pubblicazione)
Licenza:
Tutti i diritti riservati (All rights reserved)
Dimensione
305.39 kB
Formato
Adobe PDF
|
305.39 kB | Adobe PDF | |
Bruni_Characterizing-the-heterogeneity_2019.pdf
solo gestori archivio
Tipologia:
Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza:
Tutti i diritti riservati (All rights reserved)
Dimensione
595.8 kB
Formato
Adobe PDF
|
595.8 kB | Adobe PDF | Contatta l'autore |
Bruni_Frontespizio-indice_Characterizing-the-heterogeneity_2019.pdf
solo gestori archivio
Tipologia:
Altro materiale allegato
Licenza:
Tutti i diritti riservati (All rights reserved)
Dimensione
233.38 kB
Formato
Adobe PDF
|
233.38 kB | Adobe PDF | Contatta l'autore |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.