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Academic quality measurement: A multivariate approach

Author

Listed:
  • Andres Redchuk

    (Department of Statistics and Operations Research, Rey Juan Carlos University)

  • Javier M. Moguerza

    (Department of Statistics and Operations Research, Rey Juan Carlos University)

  • Clara Laura Cardone Riportella

    (Department of Business Administration, Universidad Pablo de Olavide)

Abstract

This paper applies a new quality measurement methodology to measure the quality of the postgraduate courses. The methodology we propose is the Academic Quality Measurement (AQM). The model is applied to several simulated data sets where we know the true value of the parameters of the model. A nonparametric model, based in Nearest Neighbours combined with Restricted Least Squared methods, is developed in which students evaluate the overall academic programme quality and a set of dimensions or attributes that determine this quality. The database comes from a Spanish Public University post graduate programme. Among the most important conclusion we say the methodology presented in this work has the following advantages: Knowledge of the attribute weights allow the ordering of the attributes according to their relative importance to the student, showing the key factors for improving quality. Student weights can be related to student characteristics to make market segmentation directly linked to quality objectives. The relative strengths and weaknesses of the service (high educations) can be determined by comparing the mean value of the attributes of the service to the values of other companies (Benchmark process or SWOT analysis).

Suggested Citation

  • Andres Redchuk & Javier M. Moguerza & Clara Laura Cardone Riportella, 2011. "Academic quality measurement: A multivariate approach," Working Papers 11.07, Universidad Pablo de Olavide, Department of Business Administration.
    • Handle: RePEc:pab:wpbsad:11.07
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    References listed on IDEAS

    as
    1. Gregory S. Martin & Jeffrey K. Bray, 1997. "Assessing Customer Satisfaction with a Master of Business Administration Program: Implications for Resource Allocation," Journal of Marketing for Higher Education, Taylor & Francis Journals, vol. 8(2), pages 15-28, August.
    2. Cardone Riportella, Clara & Lado, Nora & Rivera Torres, Pilar, 2001. "Measurement and effects of teaching quality : an empirical model applied to masters programs," DEE - Working Papers. Business Economics. WB wb013110, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
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    More about this item

    Keywords

    Quality Measurement; Postgraduate Programme; Nonparametric Model.;
    All these keywords.

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