Academic quality measurement: A multivariate approach
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).Download Info
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.Bibliographic Info
Paper provided by Universidad Pablo de Olavide, Department of Business Administration in its series Working Papers with number 11.07.Length: 28 pages
Date of creation: Dec 2011
Date of revision:
Handle: RePEc:pab:wpbsad:11.07
Contact details of provider:
Postal: Carretera de Utrera km.1, 41013 Sevilla
Phone: + 34 954 34 9283
Fax: + 34 954 34 8353
Web page: http://www.upo.es/dde/
More information through EDIRC
Related research
Keywords: Quality Measurement; Postgraduate Programme; Nonparametric Model.;This paper has been announced in the following NEP Reports:
- NEP-ALL-2012-01-18 (All new papers)
- NEP-EDU-2012-01-18 (Education)
- NEP-LAB-2012-01-18 (Labour Economics)
References
References listed on IDEASPlease report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Clara Cardone-Riportella & Nora Lado-Cousté & Pilar Rivera-Torres, 2001. "Measurement And Effects Of Teaching Quality: An Empirical Model Applied To Masters Programs," Business Economics Working Papers wb013110, Universidad Carlos III, Departamento de Economía de la Empresa.
Citations
Lists
This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.Statistics
Access and download statisticsCorrections
When requesting a correction, please mention this item's handle: RePEc:pab:wpbsad:11.07For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Rocío Fernández).
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.

