A multi-criteria approach for ranking Italian high schools

Paola Mancini () and Gabriella Marcarelli ()
Additional contact information
Paola Mancini: University of Sannio
Gabriella Marcarelli: University of Sannio

Quality & Quantity: International Journal of Methodology, 2023, vol. 57, issue 6, No 27, 5533-5549

Abstract: Abstract Multi-criteria decision making is a useful tool for economic applications, especially in the last decade. We investigate and compare the performance of Italian public high schools. We consider three outputs provided by average students’ school and academic performance, and school characteristics. Our sample includes 263 high schools (HS) in all Italian Regions, grouped into 6 types and 3 geographic areas. Employing specific weights for the outputs, we apply PROMETHEE to derive the ranking of different types of schools by geographic area. Then we apply ELECTRE III to the same problem and compare the results with those obtained using PROMETHEE. Our results show that: (a) there are significant differences between HS according to school and academic performance; (b) Classic and Scientific Lyceums are the best types of school regardless of geographic area; (c) by simultaneously considering type of school and geographic area, southern HS seem to have better performances than northern ones.

Keywords: School ranking; Academic performance; ELECTRE III; PROMETHEE; PCA (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11135-023-01621-y Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:qualqt:v:57:y:2023:i:6:d:10.1007_s11135-023-01621-y

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11135

DOI: 10.1007/s11135-023-01621-y

Access Statistics for this article

Quality & Quantity: International Journal of Methodology is currently edited by Vittorio Capecchi

More articles in Quality & Quantity: International Journal of Methodology from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().