IDEAS home Printed from https://ideas.repec.org/a/oup/rseval/v13y2004i1p51-62.html
   My bibliography  Save this article

Expert panels evaluating research: decision-making and sources of bias

Author

Listed:
  • Liv Langfeldt

Abstract

This study consists of in-depth analysis of six international evaluations of Norwegian research. There was little overlapping competence on the panels, a high degree of task division and the composition of an expert panel, the organisation of its work and lack of group interaction, may have been decisive for the conclusions of the evaluations. Moreover, there seems to have been a serious disparity between the processes and resources of the studied evaluations and the demands that ideally should be met when judging scholarly quality. The revealed weaknesses are believed to be inherent to the concept of expert panel evaluation of research as an instrument for national research policy, and not specific for the studied evaluations. Copyright , Beech Tree Publishing.

Suggested Citation

  • Liv Langfeldt, 2004. "Expert panels evaluating research: decision-making and sources of bias," Research Evaluation, Oxford University Press, vol. 13(1), pages 51-62, April.
    • Handle: RePEc:oup:rseval:v:13:y:2004:i:1:p:51-62
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.3152/147154404781776536
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sheheryar Banuri & Stefan Dercon & Varun Gauri, 2019. "Biased Policy Professionals," The World Bank Economic Review, World Bank, vol. 33(2), pages 310-327.
    2. Andrew Dustan & Stanislao Maldonado & Juan Manuel Hernandez-Agramonte, 2018. "Motivating bureaucrats with non-monetary incentives when state capacity is weak: Evidence from large-scale field experiments in Peru," Working Papers 136, Peruvian Economic Association.
    3. Andrew Dustan & Juan Manuel Hernandez-Agramonte & Stanislao Maldonado, 2018. "Motivating bureaucrats with non-monetary incentives when state capacity is weak: Evidence from large-scale," Natural Field Experiments 00664, The Field Experiments Website.
    4. A. Gaunand & L. Colinet & P.-B. Joly & M. Matt, 2022. "Counting what really counts? Assessing the political impact of science," The Journal of Technology Transfer, Springer, vol. 47(3), pages 699-721, June.
    5. Benda, Wim G.G. & Engels, Tim C.E., 2011. "The predictive validity of peer review: A selective review of the judgmental forecasting qualities of peers, and implications for innovation in science," International Journal of Forecasting, Elsevier, vol. 27(1), pages 166-182.
    6. Peter van den Besselaar & Ulf Sandström & Hélène Schiffbaenker, 2018. "Studying grant decision-making: a linguistic analysis of review reports," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 313-329, October.
    7. van den Besselaar, Peter, 2012. "Selection committee membership: Service or self-service," Journal of Informetrics, Elsevier, vol. 6(4), pages 580-585.
    8. Rahman, A.I.M. Jakaria & Guns, Raf & Rousseau, Ronald & Engels, Tim C.E., 2015. "Is the expertise of evaluation panels congruent with the research interests of the research groups: A quantitative approach based on barycenters," Journal of Informetrics, Elsevier, vol. 9(4), pages 704-721.
    9. Benda, Wim G.G. & Engels, Tim C.E., 2011. "The predictive validity of peer review: A selective review of the judgmental forecasting qualities of peers, and implications for innovation in science," International Journal of Forecasting, Elsevier, vol. 27(1), pages 166-182, January.
    10. Thomas Feliciani & Junwen Luo & Lai Ma & Pablo Lucas & Flaminio Squazzoni & Ana Marušić & Kalpana Shankar, 2019. "A scoping review of simulation models of peer review," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 555-594, October.
    11. Pournader, Mehrdokht & Ghaderi, Hadi & Hassanzadegan, Amir & Fahimnia, Behnam, 2021. "Artificial intelligence applications in supply chain management," International Journal of Production Economics, Elsevier, vol. 241(C).
    12. Andrea Bonaccorsi & Nicola Melluso & Francesco Alessandro Massucci, 2022. "Exploring the antecedents of interdisciplinarity at the European Research Council: a topic modeling approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 6961-6991, December.
    13. Manuel Carpio & Andrés J. Prieto, 2021. "Expert Panel, Preventive Maintenance of Heritage Buildings and Fuzzy Logic System: An Application in Valdivia, Chile," Sustainability, MDPI, vol. 13(12), pages 1-15, June.
    14. Doyeon Lee & Keunhwan Kim, 2022. "Public R&D Projects-Based Investment and Collaboration Framework for an Overarching South Korean National Strategy of Personalized Medicine," IJERPH, MDPI, vol. 19(3), pages 1-25, January.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:oup:rseval:v:13:y:2004:i:1:p:51-62. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Oxford University Press (email available below). General contact details of provider: https://academic.oup.com/rev .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.