How does the normalization of data affect the ARWU ranking?

Milica Jovanovic, Veljko Jeremic (), Gordana Savic, Milica Bulajic and Milan Martic
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Milica Jovanovic: University of Belgrade
Veljko Jeremic: University of Belgrade
Gordana Savic: University of Belgrade
Milica Bulajic: University of Belgrade
Milan Martic: University of Belgrade

Scientometrics, 2012, vol. 93, issue 2, No 6, 319-327

Abstract: Abstract The aim of this paper is to present new ideas in evaluating Shanghai University’s Academic Ranking of World Universities (ARWU). In particular, this paper shall try to determine whether the normalization of data affects University ranks. In accordance with this, both the normalized and original (raw) data for each of the six variables has been obtained. Based on a sample containing the 54 US universities which are placed in the ARWU top 100, the statistical I-distance method was performed. The results showed great inconsistencies between university ranks obtained for the original and normalized data. These findings were then analyzed and the universities that had the greatest fluctuation in their ranks were noted.

Keywords: Ranking of universities; The I-distance method; ARWU; Statistical methods; Classification; Normalization of data; 62H30 (search for similar items in EconPapers)
JEL-codes: C38 (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (9)

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DOI: 10.1007/s11192-012-0674-0

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