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The big consequences of small biases: A simulation of peer review

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  • Day, Theodore Eugene

Abstract

To determine the effect of reviewer bias on grant application funding rates between a “preferred class” (PC) and a “non-preferred class” (NPC) of principal investigator.

Suggested Citation

  • Day, Theodore Eugene, 2015. "The big consequences of small biases: A simulation of peer review," Research Policy, Elsevier, vol. 44(6), pages 1266-1270.
  • Handle: RePEc:eee:respol:v:44:y:2015:i:6:p:1266-1270
    DOI: 10.1016/j.respol.2015.01.006
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    References listed on IDEAS

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    1. Viner, Neil & Powell, Philip & Green, Rod, 2004. "Institutionalized biases in the award of research grants: a preliminary analysis revisiting the principle of accumulative advantage," Research Policy, Elsevier, vol. 33(3), pages 443-454, April.
    2. Bornmann, Lutz & Mutz, Rüdiger & Daniel, Hans-Dieter, 2007. "Gender differences in grant peer review: A meta-analysis," Journal of Informetrics, Elsevier, vol. 1(3), pages 226-238.
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    Cited by:

    1. repec:spr:scient:v:113:y:2017:i:1:d:10.1007_s11192-017-2244-y is not listed on IDEAS
    2. Kapeller, Jakob & Steinerberger, Stefan, 2016. "Emergent phenomena in scientific publishing: A simulation exercise," Research Policy, Elsevier, vol. 45(10), pages 1945-1952.
    3. Olgica Nedić & Aleksandar Dekanski, 2016. "Priority criteria in peer review of scientific articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(1), pages 15-26, April.
    4. Simone Righi & Károly Takács, 2017. "The miracle of peer review and development in science: an agent-based model," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 587-607, October.
    5. Lina M. Cortés & Andrés Mora-Valencia & Javier Perote, 2016. "The productivity of top researchers: a semi-nonparametric approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 891-915, November.
    6. Michail Kovanis & Raphaël Porcher & Philippe Ravaud & Ludovic Trinquart, 2016. "Complex systems approach to scientific publication and peer-review system: development of an agent-based model calibrated with empirical journal data," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(2), pages 695-715, February.

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