Academic quality measurement: A multivariate approach

Andres Redchuk (), Javier Moguerza () and Clara Cardone Riportella
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Andres Redchuk: Department of Statistics and Operations Research, Rey Juan Carlos University
Javier Moguerza: Department of Statistics and Operations Research, Rey Juan Carlos University

No 11.07, Working Papers from Universidad Pablo de Olavide, Department of Business Administration

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).

Keywords: Quality Measurement; Postgraduate Programme; Nonparametric Model. (search for similar items in EconPapers)
Pages: 28 pages
Date: 2011-12
New Economics Papers: this item is included in nep-edu and nep-lab
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http://www.upo.es/serv/bib/wpbsad/bsad1107.pdf First version, 2011 (application/pdf)

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Persistent link: https://EconPapers.repec.org/RePEc:pab:wpbsad:11.07

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