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A composite indicator dimension reduction procedure with application to university student satisfaction

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  • Marco Marozzi

Abstract

Universities play a central role within society and should provide high quality services to students. Therefore, a careful evaluation of university services is necessary. This evaluation is complex because it involves many partial aspects and can be assessed through a composite indicator. In this paper, we propose a simple method for reducing the number of partial aspects underlying a composite indicator. A practical application to data from a sample survey conducted on the last year students of the University of Padova is discussed. This survey considered the quality of many services, lecture rooms, library services, computer classrooms, reading rooms in libraries, study rooms, structure of exams, student socialization, reached skills and so forth. The method has been compared with principal component analysis. The results show that our method is worthy of consideration as it is markedly simpler to be applied than the other dimension reduction methods and requires milder assumptions.

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  • Marco Marozzi, 2009. "A composite indicator dimension reduction procedure with application to university student satisfaction," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 63(3), pages 258-268, August.
    • Handle: RePEc:bla:stanee:v:63:y:2009:i:3:p:258-268
    DOI: 10.1111/j.1467-9574.2009.00422.x
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    1. Alessandro Lago & Fortunato Pesarin, 2000. "Nonparametric combiantion of dependent rankings with application to the quality assessment of industrial products," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(1-2), pages 39-52.
    2. Peter M. Fayers & David J. Hand, 2002. "Causal variables, indicator variables and measurement scales: an example from quality of life," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 165(2), pages 233-253, June.
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    1. Marco Marozzi, 2014. "Construction, dimension reduction and uncertainty analysis of an index of trust in public institutions," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(2), pages 939-953, March.
    2. Marco Marozzi, 2015. "Measuring Trust in European Public Institutions," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 123(3), pages 879-895, September.
    3. Marco Marozzi, 2016. "Construction, Robustness Assessment and Application of an Index of Perceived Level of Socio-Economic Threat from Immigrants: A Study of 47 European Countries and Regions," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 128(1), pages 413-437, August.
    4. Mattia Tassinari & Marco R. Di Tommaso, 2014. "Open Innovation Practices: Measuring, Economic Performance, And Industrial Policy Issues. An Analysis Of The Italian Manufacturing System," Working Papers 1406, c.MET-05 - Centro Interuniversitario di Economia Applicata alle Politiche per L'industria, lo Sviluppo locale e l'Internazionalizzazione, revised Dec 2014.
    5. Elisa Barbieri & Manli Huang & Shenglei Pi & Mattia Tassinari, 2017. "Restructuring the Production of Medicines: An Investigation on the Pharmaceutical Sector in China and the Role of Mergers and Acquisitions," IJERPH, MDPI, vol. 14(10), pages 1-21, October.
    6. Marco Marozzi & Mario Bolzan, 2018. "An Index of Household Accessibility to Basic Services: A Study of Italian Regions," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 136(3), pages 1237-1250, April.
    7. Michela Gnaldi & M. Giovanna Ranalli, 2016. "Measuring University Performance by Means of Composite Indicators: A Robustness Analysis of the Composite Measure Used for the Benchmark of Italian Universities," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 129(2), pages 659-675, November.
    8. Sieds, 2012. "Complete Volume LXVI n.1 2012," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 66(1), pages 1-296.
    9. Milica Maricic & Veljko Jeremic, 2023. "Imposing unsupervised constraints to the Benefit-of-the-Doubt (BoD) model," METRON, Springer;Sapienza Università di Roma, vol. 81(3), pages 259-296, December.

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