Statistical significance and effect sizes of differences among research universities at the level of nations and worldwide based on the leiden rankings

Loet Leydesdorff, Lutz Bornmann () and John Mingers

Journal of the Association for Information Science & Technology, 2019, vol. 70, issue 5, 509-525

Abstract: The Leiden Rankings can be used for grouping research universities by considering universities which are not statistically significantly different as homogeneous sets. The groups and intergroup relations can be analyzed and visualized using tools from network analysis. Using the so‐called “excellence indicator” PPtop‐10%—the proportion of the top‐10% most‐highly‐cited papers assigned to a university—we pursue a classification using (a) overlapping stability intervals, (b) statistical‐significance tests, and (c) effect sizes of differences among 902 universities in 54 countries; we focus on the UK, Germany, Brazil, and the USA as national examples. Although the groupings remain largely the same using different statistical significance levels or overlapping stability intervals, these classifications are uncorrelated with those based on effect sizes. Effect sizes for the differences between universities are small (w

Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:bla:jinfst:v:70:y:2019:i:5:p:509-525

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