Overcoming Size and Subject Bias in Rankings: A Review of Various Trends and Bias in Data Commonly Used in Rankings and Methods to Overcome Them

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Author(s): Simon Michael Pratt (Thomson Reuters, Canada)
Copyright: 2017
Pages: 11
Source title: World University Rankings and the Future of Higher Education
Source Author(s)/Editor(s): Kevin Downing (City University of Hong Kong, China)and Fraide A. Ganotice, Jr. (The University of Hong Kong, China)
DOI: 10.4018/978-1-5225-0819-9.ch014

Keywords: Education / Higher Education / Information Science Reference

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Abstract

Although it is impossible to distill the complexity of a university down to a single ranking position that represents the multiple missions of a university or the different stakeholders of ranking user, rankings are here to stay. It is essential that rankings publishers are clear about their objectives and use techniques to overcome bias. This paper discusses in detail some of the trends and bias found in data used in rankings and methods that can be used to overcome bias. It also discusses the motivations behind rankings and the influence of institution size on ranking outcome.

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Overcoming Size and Subject Bias in Rankings: A Review of Various Trends and Bias in Data Commonly Used in Rankings and Methods to Overcome Them

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