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A multi-criteria approach for ranking Italian high schools

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  • Paola Mancini

    (University of Sannio)

  • Gabriella Marcarelli

    (University of Sannio)

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.

Suggested Citation

  • Paola Mancini & Gabriella Marcarelli, 2023. "A multi-criteria approach for ranking Italian high schools," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(6), pages 5533-5549, December.
    • Handle: RePEc:spr:qualqt:v:57:y:2023:i:6:d:10.1007_s11135-023-01621-y
    DOI: 10.1007/s11135-023-01621-y
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    References listed on IDEAS

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    1. JosÉ Figueira & Salvatore Greco & Matthias Ehrogott, 2005. "Multiple Criteria Decision Analysis: State of the Art Surveys," International Series in Operations Research and Management Science, Springer, number 978-0-387-23081-8, June.
    2. Carmen Aina & Eliana Baici & Giorgia Casalone, 2011. "Time to degree: students' abilities, university characteristics or something else? Evidence from Italy," Education Economics, Taylor & Francis Journals, vol. 19(3), pages 311-325.
    3. Burgess, Simon & Wilson, Deborah & Worth, Jack, 2013. "A natural experiment in school accountability: The impact of school performance information on pupil progress," Journal of Public Economics, Elsevier, vol. 106(C), pages 57-67.
    4. Nunes, Luis C. & Reis, Ana Balcão & Seabra, Carmo, 2015. "The publication of school rankings: A step toward increased accountability?," Economics of Education Review, Elsevier, vol. 49(C), pages 15-23.
    5. Giambona, Francesca & Porcu, Mariano, 2018. "School size and students' achievement. Empirical evidences from PISA survey data," Socio-Economic Planning Sciences, Elsevier, vol. 64(C), pages 66-77.
    6. Corrente, Salvatore & Greco, Salvatore & Słowiński, Roman, 2016. "Multiple Criteria Hierarchy Process for ELECTRE Tri methods," European Journal of Operational Research, Elsevier, vol. 252(1), pages 191-203.
    7. Roy, Bernard & Vincke, Philippe, 1981. "Multicriteria analysis: survey and new directions," European Journal of Operational Research, Elsevier, vol. 8(3), pages 207-218, November.
    8. Lauer, Charlotte, 2003. "Family background, cohort and education: A French-German comparison based on a multivariate ordered probit model of educational attainment," Labour Economics, Elsevier, vol. 10(2), pages 231-251, April.
    9. Carmen Aina & Massimiliano Bratti & Enrico Lippo, 2021. "Ranking high schools using university student performance in Italy," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 38(1), pages 293-321, April.
    10. Masci, Chiara & De Witte, Kristof & Agasisti, Tommaso, 2018. "The influence of school size, principal characteristics and school management practices on educational performance: An efficiency analysis of Italian students attending middle schools," Socio-Economic Planning Sciences, Elsevier, vol. 61(C), pages 52-69.
    11. Mladen Stamenković & Ivan Anić & Marijana Petrović & Nataša Bojković, 2016. "An ELECTRE approach for evaluating secondary education profiles: evidence from PISA survey in Serbia," Annals of Operations Research, Springer, vol. 245(1), pages 337-358, October.
    12. Cassandra M. D. Hart & David N. Figlio, 2015. "School Accountability and School Choice: Effects on Student Selection Across Schools," National Tax Journal, National Tax Association;National Tax Journal, vol. 68(3S), pages 875-900, September.
    13. Ishizaka, Alessio & Resce, Giuliano, 2021. "Best-Worst PROMETHEE method for evaluating school performance in the OECD's PISA project," Socio-Economic Planning Sciences, Elsevier, vol. 73(C).
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