2015
DOI: 10.1002/asi.23355
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A new approach to the QS university ranking using the composite I‐distance indicator: Uncertainty and sensitivity analyses

Abstract: Some major concerns of universities are to provide quality in higher education and enhance global competitiveness, thus ensuring a high global rank and an excellent performance evaluation. This article examines the Quacquarelli Symonds (QS) World University Ranking methodology, pointing to a drawback of using subjective, possibly biased, weightings to build a composite indicator (QS scores). We propose an alternative approach to creating QS scores, which is referred to as the composite I-distance indicator (CI… Show more

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Cited by 85 publications
(63 citation statements)
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“…The main idea of incorporating the I‐distance in the DEA is to obtain the lower and upper bound in the GAR by calculating the correlation between the obtained I‐distance values and the indicators . The I‐distance solves the problem of incorporating a large number of indicators with different measurement units into one synthetic indicator without duplicating the information.…”
Section: Methodsmentioning
confidence: 99%
“…The main idea of incorporating the I‐distance in the DEA is to obtain the lower and upper bound in the GAR by calculating the correlation between the obtained I‐distance values and the indicators . The I‐distance solves the problem of incorporating a large number of indicators with different measurement units into one synthetic indicator without duplicating the information.…”
Section: Methodsmentioning
confidence: 99%
“…Ranking as a hierarchical structure is used in the academic environment for many purposes, among others for evaluating quality in higher education [9,16], for determining the success of different departments within a university [5], for student selection [15] and for ranking specific student attributes to determine the probability of success [35,37]. In this section, the three selected models will be discussed and applied to the same data set.…”
Section: Ranking As Feedback In Learningmentioning
confidence: 99%
“…Hence, since 2009, the THE model has been separated from QS, which provided a new ranking system in cooperation with the Thomson Reuters database. In this new model, 13 indices were considered (Appendix 2), categorized into 5 groups as education, research, knowledge transfer (number of citations), industrial income, and international reputation (6,(12)(13)(14)(15)(16)(17).…”
Section: The Rankingmentioning
confidence: 99%