Quality in Management Education - A Meta-Analysis of Recent B-School Surveys
By Arnab Kumar Laha
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Conclusion;
In this paper we have analysed the methodology of some of the recent B-School surveys. We found several discrepancies in the methodology likeinconsistencies in the parameters and their weights used for measuring quality of management education, non-participation of a large number of managementinstitutes, use of non-validated data and a summative scale for ranking and categorization purpose.
The role of AICTE is vital for deciding on theparameters to be used for measuring quality of management education,ensuring participation of the management institutes and validation of the dataprovided by them.Instead of using a summative scale, which reducesmultivariate data into univariate data, it is recommended that multivariatestatistical procedures like cluster analysis be used to determine the categoriesof the different institutes. Instead of deciding on the number of categoriesarbitrarily, it is appropriate that the data itself dictates the number of categories present. We have shown the use of Beale's criterion in the context of K-meanscluster analysis for this purpose.The use of ranking is not recommendedbecause of large variation witnessed in the different surveys.
A properly conducted B-school survey will immensely benefit the stakeholdersof management education like recruiters, students, guardians, etc, in choosingthe "right" B-schools.
posted by Aditya @ 5/16/2006 11:48:00 AM
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