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How does the normalization of data affect the ARWU ranking?

Author

Listed:
  • Milica Jovanovic

    (University of Belgrade)

  • Veljko Jeremic

    (University of Belgrade)

  • Gordana Savic

    (University of Belgrade)

  • Milica Bulajic

    (University of Belgrade)

  • Milan Martic

    (University of Belgrade)

Abstract

The aim of this paper is to present new ideas in evaluating Shanghai University’s Academic Ranking of World Universities (ARWU). In particular, this paper shall try to determine whether the normalization of data affects University ranks. In accordance with this, both the normalized and original (raw) data for each of the six variables has been obtained. Based on a sample containing the 54 US universities which are placed in the ARWU top 100, the statistical I-distance method was performed. The results showed great inconsistencies between university ranks obtained for the original and normalized data. These findings were then analyzed and the universities that had the greatest fluctuation in their ranks were noted.

Suggested Citation

  • Milica Jovanovic & Veljko Jeremic & Gordana Savic & Milica Bulajic & Milan Martic, 2012. "How does the normalization of data affect the ARWU ranking?," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(2), pages 319-327, November.
    • Handle: RePEc:spr:scient:v:93:y:2012:i:2:d:10.1007_s11192-012-0674-0
    DOI: 10.1007/s11192-012-0674-0
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    References listed on IDEAS

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    1. Catherine Dehon & Alice McCathie & Vincenzo Verardi, 2010. "Uncovering excellence in academic rankings: a closer look at the Shanghai ranking," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(2), pages 515-524, May.
    2. Jean-Charles Billaut & Denis Bouyssou & Philippe Vincke, 2010. "Should you believe in the Shanghai ranking?," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(1), pages 237-263, July.
    3. Jeremic Veljko Milojko & Radojicic Zoran, 2010. "A New Approach in the Evaluation of Team Chess Championships Rankings," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 6(3), pages 1-11, July.
    4. Nian Cai Liu & Ying Cheng & Li Liu, 2005. "Academic ranking of world universities using scientometrics - A comment to the “Fatal Attraction”," Scientometrics, Springer;Akadémiai Kiadó, vol. 64(1), pages 101-109, July.
    5. Lutz Bornmann & Loet Leydesdorff, 2011. "Which cities produce more excellent papers than can be expected? A new mapping approach, using Google Maps, based on statistical significance testing," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(10), pages 1954-1962, October.
    6. Bornmann, Lutz & Waltman, Ludo, 2011. "The detection of “hot regions” in the geography of science—A visualization approach by using density maps," Journal of Informetrics, Elsevier, vol. 5(4), pages 547-553.
    7. Domingo Docampo, 2011. "On using the Shanghai ranking to assess the research performance of university systems," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(1), pages 77-92, January.
    8. repec:dau:papers:123456789/2947 is not listed on IDEAS
    9. Veljko Jeremic & Milica Bulajic & Milan Martic & Zoran Radojicic, 2011. "A fresh approach to evaluating the academic ranking of world universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(3), pages 587-596, June.
    10. Loet Leydesdorff & Jung C. Shin, 2011. "How to evaluate universities in terms of their relative citation impacts: Fractional counting of citations and the normalization of differences among disciplines," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(6), pages 1146-1155, June.
    11. Isidro F. Aguillo & Judit Bar-Ilan & Mark Levene & José Luis Ortega, 2010. "Comparing university rankings," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(1), pages 243-256, October.
    12. Domingo Docampo, 2012. "Adjusted sum of institutional scores as an indicator of the presence of university systems in the ARWU ranking," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 701-713, February.
    13. Domingo Docampo, 2011. "Erratum to: On using the Shanghai ranking to assess the research performance of university systems," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(1), pages 237-237, January.
    14. Daniel Torres-Salinas & Jose G. Moreno-Torres & Emilio Delgado-López-Cózar & Francisco Herrera, 2011. "A methodology for Institution-Field ranking based on a bidimensional analysis: the IFQ 2 A index," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(3), pages 771-786, September.
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    2. Milica Maricic & Jose A. Egea & Veljko Jeremic, 2019. "A Hybrid Enhanced Scatter Search—Composite I-Distance Indicator (eSS-CIDI) Optimization Approach for Determining Weights Within Composite Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 144(2), pages 497-537, July.
    3. Maričić Milica & Bulajić Milica & Radojičić Zoran & Jeremić Veljko, 2019. "Shedding Light on the Doing Business Index: a Machine Learning Approach," Business Systems Research, Sciendo, vol. 10(2), pages 73-84, September.
    4. Milica Maricic & Milica Kostic-Stankovic, 2016. "Towards an impartial Responsible Competitiveness Index: a twofold multivariate I-distance approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 50(1), pages 103-120, January.
    5. M. Marković & S. Zdravković & M. Mitrović & A. Radojičić, 2016. "An Iterative Multivariate Post Hoc I-Distance Approach in Evaluating OECD Better Life Index," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 126(1), pages 1-19, March.
    6. Seyithan Ahmet Ates & Kursad Derinkuyu, 2021. "Green growth and OECD countries: measurement of country performances through distance-based analysis (DBA)," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(10), pages 15062-15073, October.
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    More about this item

    Keywords

    Ranking of universities; The I-distance method; ARWU; Statistical methods; Classification; Normalization of data;
    All these keywords.

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis

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