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

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  • Loet Leydesdorff
  • Lutz Bornmann
  • John Mingers

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

Suggested Citation

  • Loet Leydesdorff & Lutz Bornmann & John Mingers, 2019. "Statistical significance and effect sizes of differences among research universities at the level of nations and worldwide based on the leiden rankings," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 70(5), pages 509-525, May.
    • Handle: RePEc:bla:jinfst:v:70:y:2019:i:5:p:509-525
    DOI: 10.1002/asi.24130
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    Cited by:

    1. Loet Leydesdorff & Lutz Bornmann & Jonathan Adams, 2019. "The integrated impact indicator revisited (I3*): a non-parametric alternative to the journal impact factor," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1669-1694, June.
    2. Barbara S. Lancho-Barrantes & Francisco J. Cantu-Ortiz, 2021. "Quantifying the publication preferences of leading research universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(3), pages 2269-2310, March.
    3. Cinzia Daraio & Simone Di Leo & Loet Leydesdorff, 2023. "A heuristic approach based on Leiden rankings to identify outliers: evidence from Italian universities in the European landscape," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(1), pages 483-510, January.

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