Ranking versus rating in peer review of research grant applications

被引:0
|
作者
Tamblyn, Robyn [1 ,2 ,3 ]
Girard, Nadyne [1 ]
Hanley, James [2 ]
Habib, Bettina [1 ]
Mota, Adrian [4 ]
Khan, Karim M. [4 ,5 ,6 ]
Ardern, Clare L. [7 ,8 ]
机构
[1] McGill Univ, Clin & Hlth Informat Res Grp, Montreal, PQ, Canada
[2] McGill Univ, Dept Epidemiol Biostat & Occupat Hlth, Montreal, PQ, Canada
[3] McGill Univ, Ctr Hlth, Dept Med, Montreal, PQ, Canada
[4] CIHR, Ottawa, ON, Canada
[5] Univ British Columbia, Dept Family Practice, Vancouver, BC, Canada
[6] Univ British Columbia, Sch Kinesiol, Vancouver, BC, Canada
[7] Univ British Columbia, Dept Phys Therapy, Vancouver, BC, Canada
[8] La Trobe Univ, Sport & Exercise Med Res Ctr, Melbourne, Vic, Australia
来源
PLOS ONE | 2023年 / 18卷 / 10期
基金
加拿大健康研究院;
关键词
GENDER-DIFFERENCES; SCIENCE; RELIABILITY; EQUALITY; NEPOTISM; HEALTH; TRIAL; BIAS;
D O I
10.1371/journal.pone.0292306
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The allocation of public funds for research has been predominantly based on peer review where reviewers are asked to rate an application on some form of ordinal scale from poor to excellent. Poor reliability and bias of peer review rating has led funding agencies to experiment with different approaches to assess applications. In this study, we compared the reliability and potential sources of bias associated with application rating with those of application ranking in 3,156 applications to the Canadian Institutes of Health Research. Ranking was more reliable than rating and less susceptible to the characteristics of the review panel, such as level of expertise and experience, for both reliability and potential sources of bias. However, both rating and ranking penalized early career investigators and favoured older applicants. Sex bias was only evident for rating and only when the applicant's H-index was at the lower end of the H-index distribution. We conclude that when compared to rating, ranking provides a more reliable assessment of the quality of research applications, is not as influenced by reviewer expertise or experience, and is associated with fewer sources of bias. Research funding agencies should consider adopting ranking methods to improve the quality of funding decisions in health research.
引用
收藏
页数:16
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