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A ‘power law’ based method to reduce size-related bias in indicators of knowledge performance: An application to university research assessment

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  • Calabrese, Armando
  • Capece, Guendalina
  • Costa, Roberta
  • Di Pillo, Francesca
  • Giuffrida, Stefania

Abstract

The knowledge production provided by universities is essential to sustaining a country’s long-term economic growth and international competitiveness. Many nations are thus driving to create sustainable and effective funding environments. The evaluation of university knowledge, productivity and research quality becomes critical, with ever increasing share of public funding allocated on the basis of research assessment exercises. Nevertheless, the existing methods to assess the universities’ knowledge production are often affected by limits and biases, extensively discussed in the scientific literature.

Suggested Citation

  • Calabrese, Armando & Capece, Guendalina & Costa, Roberta & Di Pillo, Francesca & Giuffrida, Stefania, 2018. "A ‘power law’ based method to reduce size-related bias in indicators of knowledge performance: An application to university research assessment," Journal of Informetrics, Elsevier, vol. 12(4), pages 1263-1281.
    • Handle: RePEc:eee:infome:v:12:y:2018:i:4:p:1263-1281
    DOI: 10.1016/j.joi.2018.10.005
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    Cited by:

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    2. Katerina Guba & Mikhail Sokolov & Angelika Tsivinskaya, 2020. "Fictitious Efficiency: What the Russian Survey of Performance of Higher Education Institutions Actually Assessed," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 1, pages 97-125.
    3. Губа К. С. & Соколов М. М. & Цивинская А. О., 2020. "Фиктивная Эффективность: Что На Самом Деле Оценивал Мониторинг Эффективности Образовательных Организаций," Вопросы образования // Educational Studies Moscow, National Research University Higher School of Economics, issue 1, pages 97-125.

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