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Adjusted sum of institutional scores as an indicator of the presence of university systems in the ARWU ranking

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  • Domingo Docampo

    (Universidad de Vigo)

Abstract

In this article I introduce a new indicator that measures the presence of a higher education system in the Shanghai Jiao Tong Academic Ranking of World Universities (ARWU). First, the benefits of introducing such a measure and the drawbacks associated with the possible choices of the indicator are discussed. To analyze the drawbacks, the sample of countries with presence in ARWU is split into two groups of small and large world’s GDP share. A raw indicator based upon the sum of the scores of all the universities from a country divided by its world’s GDP share shows a noticeable bias in favor of small countries, so a one-way between-groups analysis of variance is conducted to help in canceling the bias. That leads to the introduction of a new aggregate indicator that can be computed in a very simple fashion. A discussion of the performance of higher education systems using this new indicator closes the paper.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:scient:v:90:y:2012:i:2:d:10.1007_s11192-011-0490-y
    DOI: 10.1007/s11192-011-0490-y
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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. 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.
    3. 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.
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    Cited by:

    1. Teodoro Luque-Martínez & Salvador Barrio-García, 2016. "Constructing a synthetic indicator of research activity," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1049-1064, September.
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    4. 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.

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