Literature DB >> 18377106

Improving the peer-review process for grant applications: reliability, validity, bias, and generalizability.

Herbert W Marsh1, Upali W Jayasinghe, Nigel W Bond.   

Abstract

Peer review is a gatekeeper, the final arbiter of what is valued in academia, but it has been criticized in relation to traditional psychological research criteria of reliability, validity, generalizability, and potential biases. Despite a considerable literature, there is surprisingly little sound peer-review research examining these criteria or strategies for improving the process. This article summarizes the authors' research program with the Australian Research Council, which receives thousands of grant proposals from the social science, humanities, and science disciplines and reviews by assessors from all over the world. Using multilevel cross-classified models, the authors critically evaluated peer reviews of grant applications and potential biases associated with applicants, assessors, and their interaction (e.g., age, gender, university, academic rank, research team composition, nationality, experience). Peer reviews lacked reliability, but the only major systematic bias found involved the inflated, unreliable, and invalid ratings of assessors nominated by the applicants themselves. The authors propose a new approach, the reader system, which they evaluated with psychology and education grant proposals and found to be substantially more reliable and strategically advantageous than traditional peer reviews of grant applications.

Entities:  

Mesh:

Year:  2008        PMID: 18377106     DOI: 10.1037/0003-066X.63.3.160

Source DB:  PubMed          Journal:  Am Psychol        ISSN: 0003-066X


  53 in total

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Authors:  Romy van der Lee; Naomi Ellemers
Journal:  Proc Natl Acad Sci U S A       Date:  2015-09-21       Impact factor: 11.205

2.  From funding agencies to scientific agency: Collective allocation of science funding as an alternative to peer review.

Authors:  Johan Bollen; David Crandall; Damion Junk; Ying Ding; Katy Börner
Journal:  EMBO Rep       Date:  2014-01-07       Impact factor: 8.807

3.  An efficient system to fund science: from proposal review to peer-to-peer distributions.

Authors:  Johan Bollen; David Crandall; Damion Junk; Ying Ding; Katy Börner
Journal:  Scientometrics       Date:  2016-09-03       Impact factor: 3.238

4.  Understanding current causes of women's underrepresentation in science.

Authors:  Stephen J Ceci; Wendy M Williams
Journal:  Proc Natl Acad Sci U S A       Date:  2011-02-07       Impact factor: 11.205

5.  Recommendations for Reviewers of Biomedical Imaging Grant Applications.

Authors:  Mark D Pagel
Journal:  Mol Imaging Biol       Date:  2019-08       Impact factor: 3.488

6.  Health services and policy research in the first decade at the Canadian Institutes of Health Research.

Authors:  Robyn Tamblyn; Meghan McMahon; Nadyne Girard; Elizabeth Drake; Jessica Nadigel; Kim Gaudreau
Journal:  CMAJ Open       Date:  2016-05-05

7.  Low agreement among reviewers evaluating the same NIH grant applications.

Authors:  Elizabeth L Pier; Markus Brauer; Amarette Filut; Anna Kaatz; Joshua Raclaw; Mitchell J Nathan; Cecilia E Ford; Molly Carnes
Journal:  Proc Natl Acad Sci U S A       Date:  2018-03-05       Impact factor: 11.205

8.  Why published research is untrustworthy.

Authors:  Gunnar Lose; Niels Klarskov
Journal:  Int Urogynecol J       Date:  2017-07-13       Impact factor: 2.894

9.  Assessment of potential bias in research grant peer review in Canada.

Authors:  Robyn Tamblyn; Nadyne Girard; Christina J Qian; James Hanley
Journal:  CMAJ       Date:  2018-04-23       Impact factor: 8.262

10.  Administrative Discretion in Scientific Funding: Evidence from a Prestigious Postdoctoral Training Program.

Authors:  Donna K Ginther; Misty L Heggeness
Journal:  Res Policy       Date:  2020-03-14
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