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An Academic Performance Indicator Using Flexible Multi-Criteria Methods

Author

Listed:
  • Olga Blasco-Blasco

    (Departamento de Economía Aplicada, Facultad de Economía, Universitat de València, Avda. Tarongers s/n, 46022 Valencia, Spain
    These authors contributed equally to this work.)

  • Marina Liern-García

    (Department of Maths Analises, Universitat de València, Av. Blasco Ibáñez 13, 46010 Valencia, Spain
    These authors contributed equally to this work.)

  • Aarón López-García

    (Department of Computer Science, Universitat de València, Av. Blasco Ibáñez 13, 46010 Valencia, Spain
    These authors contributed equally to this work.)

  • Sandra E. Parada-Rico

    (School of Mathematics, Industrial University of Santander, Carrera 27 Calle 9, Edificio Camilo Torres, Bucaramanga 680002, Colombia
    These authors contributed equally to this work.)

Abstract

Composite indicators are a very useful tool for conveying summary information on the overall performance of institutions and facilitating decision-making. Increasingly, there is a demand for indicators that allow performance to be assessed after the implementation of a strategy. This has several difficulties, and in this paper, we address three of them: how to evaluate at different points in time, how to estimate the weighting of the criteria and how to normalize the data. Our proposal is based on multicriteria techniques, using a recent method, uwTOPSIS, and is applied to data collected from 2975 students enrolled in the first year of science and engineering at the Industrial University of Santander (Colombia) from the first semester of 2016 to the first semester of 2019. In the paper, we show that our proposal makes it possible to measure and evaluate the academic performance of students at two points in time, and this allows the University to know whether its student support policy has been successful and to what degree it has been effective. Due to the large amount of data handled, data management has been done using R programming language, and model implementation has been done with Python.

Suggested Citation

  • Olga Blasco-Blasco & Marina Liern-García & Aarón López-García & Sandra E. Parada-Rico, 2021. "An Academic Performance Indicator Using Flexible Multi-Criteria Methods," Mathematics, MDPI, vol. 9(19), pages 1-19, September.
    • Handle: RePEc:gam:jmathe:v:9:y:2021:i:19:p:2396-:d:643446
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    References listed on IDEAS

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    1. R. E. Bellman & L. A. Zadeh, 1970. "Decision-Making in a Fuzzy Environment," Management Science, INFORMS, vol. 17(4), pages 141-164, December.
    2. P. Zhou & B. Ang & D. Zhou, 2010. "Weighting and Aggregation in Composite Indicator Construction: a Multiplicative Optimization Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 96(1), pages 169-181, March.
    3. Ouenniche, Jamal & Pérez-Gladish, Blanca & Bouslah, Kais, 2018. "An out-of-sample framework for TOPSIS-based classifiers with application in bankruptcy prediction," Technological Forecasting and Social Change, Elsevier, vol. 131(C), pages 111-116.
    4. F. Hutton Barron & Bruce E. Barrett, 1996. "Decision Quality Using Ranked Attribute Weights," Management Science, INFORMS, vol. 42(11), pages 1515-1523, November.
    5. José Vicens-Colom & Joe Holles & Vicente Liern, 2021. "Measuring Sustainability with Unweighted TOPSIS: An Application to Sustainable Tourism in Spain," Sustainability, MDPI, vol. 13(9), pages 1-14, May.
    6. Michael Freudenberg, 2003. "Composite Indicators of Country Performance: A Critical Assessment," OECD Science, Technology and Industry Working Papers 2003/16, OECD Publishing.
    7. Claudia Margarita Acuña-Soto & Vicente Liern & Blanca Pérez-Gladish, 2020. "Multiple criteria performance evaluation of YouTube mathematical educational videos by IS-TOPSIS," Operational Research, Springer, vol. 20(4), pages 2017-2039, December.
    8. Pilar Murias & José Miguel & David Rodríguez, 2008. "A Composite Indicator for University Quality Assesment: The Case of Spanish Higher Education System," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 89(1), pages 129-146, October.
    9. I. Ivanova & F.J. Arcelus & G. Srinivasan, 1999. "An Assessment of the Measurement Properties of the Human Development Index," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 46(2), pages 157-179, February.
    10. Mareschal, Bertrand, 1988. "Weight stability intervals in multicriteria decision aid," European Journal of Operational Research, Elsevier, vol. 33(1), pages 54-64, January.
    11. Fischer, Gregory W., 1995. "Range Sensitivity of Attribute Weights in Multiattribute Value Models," Organizational Behavior and Human Decision Processes, Elsevier, vol. 62(3), pages 252-266, June.
    12. Constantin Zopounidis & Michael Doumpos, 2017. "Multiple Criteria Decision Making," Post-Print hal-02880222, HAL.
    13. Sandra E. Parada & Olga Blasco-Blasco & Vicente Liern, 2019. "Adequacy Indicators Based on Pre-established Goals: An Implementation in a Colombian University," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 143(1), pages 1-24, May.
    14. Giuseppe Munda & Michela Nardo & Michaela Saisana & Tanja Srebotnjak, 2009. "Measuring uncertainties in composite indicators of sustainability," International Journal of Environmental Technology and Management, Inderscience Enterprises Ltd, vol. 11(1/2/3), pages 7-26.
    15. M. Saisana & A. Saltelli & S. Tarantola, 2005. "Uncertainty and sensitivity analysis techniques as tools for the quality assessment of composite indicators," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 168(2), pages 307-323, March.
    16. P. Zhou & B. Ang, 2009. "Comparing MCDA Aggregation Methods in Constructing Composite Indicators Using the Shannon-Spearman Measure," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 94(1), pages 83-96, October.
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