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Exploring University Performance through Multiple Factor Analysis: A Case Study

Author

Listed:
  • Delimiro Visbal-Cadavid

    (Facultad de Ingeniería, Universidad del Magdalena, Santa Marta 470004, Colombia)

  • Mónica Martínez-Gómez

    (Centre for Quality and Change Management, Universitat Politècnica de València, 46022 València, Spain)

  • Rolando Escorcia-Caballero

    (Facultad de Ciencias de la Educación, Universidad del Magdalena, Santa Marta 470004, Colombia)

Abstract

Higher Education in Colombia is experiencing a period of shortfalls in funding which has obliged Universities to seek resources from non-governmental sources, in addition to this, the Ministry of National Education (MEN) has implemented a scheme where funds are assigned year on year but this is not considered part of the budgetary base. This study seeks to create a characterisation of the model and proposes the creation of a synthetic performance index based on Multiple Factorial Analysis (MFA). This index enabled us to rank the Higher Education Institutions (HEI) according to their performance and analyse the trajectory of Colombian Universities at a given moment, which meant their evolution over time could be reviewed, moreover within the complexity of the model of indices of results in Colombian higher education, the majority of HEI have a similar, yet, to some degree, distinct structure and display scores which show that within a certain degree of homogeneity, each institution has its strengths in some of the variables considered and its weaknesses in others.

Suggested Citation

  • Delimiro Visbal-Cadavid & Mónica Martínez-Gómez & Rolando Escorcia-Caballero, 2020. "Exploring University Performance through Multiple Factor Analysis: A Case Study," Sustainability, MDPI, vol. 12(3), pages 1-24, January.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:3:p:924-:d:313459
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    References listed on IDEAS

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    2. P. Robert & Y. Escoufier, 1976. "A Unifying Tool for Linear Multivariate Statistical Methods: The RV‐Coefficient," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 25(3), pages 257-265, November.
    3. Vivian Tam & C. M. Tam & Kenneth Yiu & S. O. Cheung, 2006. "Critical factors for environmental performance assessment (EPA) in the Hong Kong construction industry," Construction Management and Economics, Taylor & Francis Journals, vol. 24(11), pages 1113-1123.
    4. Zárraga, A. & Goitisolo, B., 2009. "Simultaneous analysis and multiple factor analysis for contingency tables: Two methods for the joint study of contingency tables," Computational Statistics & Data Analysis, Elsevier, vol. 53(8), pages 3171-3182, June.
    5. World Commission on Environment and Development,, 1987. "Our Common Future," OUP Catalogue, Oxford University Press, number 9780192820808, Decembrie.
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    2. Delahoz-Domínguez, Enrique & Zuluaga-Ortiz, Rohemi & Periñan-Luna, Arantxa & Mendoza-Brand, Silvana, 2022. "Un enfoque de Seis Sigma para evaluar la calidad de la educación superior en Colombia [A Six Sigma Approach to Assessing the Quality of Higher Education in Colombia]," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 33(1), pages 386-407, June.

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