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Robust Rankings; Review of multivariate assessments illustrated by the Shanghai rankings

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Freyer, Leo

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Abstract Defined errors are entered into data collections in order to test their influence on the reliability of multivariate rankings. Random numbers and real ranking data serve as data origins. In the course of data collection small random errors often lead to a switch in ranking, which can influence the general ranking picture considerably. For stabilisation an objective weighting method is evaluated. The robustness of these rankings is then compared to the original forms. Robust forms of the published Shanghai top 100 rankings are calculated and compared to each other. As a result, the possibilities and restrictions of this type of weighting become recognisable.
Keywords ranking; data capture; weighting; error; scientometry
Classification Scientometrics, Bibliometrics, Informetrics; Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods
Free Keywords objective weighting; fault tolerance; Shanghai ranking
Document language English
Publication Year 2014
Page/Pages p. 391-406
Journal Scientometrics, 100 (2014) 2
ISSN 1588-2861
Status Published Version; peer reviewed
Licence Creative Commons - Attribution