Literature DB >> 29507248

Low agreement among reviewers evaluating the same NIH grant applications.

Elizabeth L Pier1,2, Markus Brauer3, Amarette Filut4, Anna Kaatz4, Joshua Raclaw4,5, Mitchell J Nathan2, Cecilia E Ford4,6,7, Molly Carnes4,8.   

Abstract

Obtaining grant funding from the National Institutes of Health (NIH) is increasingly competitive, as funding success rates have declined over the past decade. To allocate relatively scarce funds, scientific peer reviewers must differentiate the very best applications from comparatively weaker ones. Despite the importance of this determination, little research has explored how reviewers assign ratings to the applications they review and whether there is consistency in the reviewers' evaluation of the same application. Replicating all aspects of the NIH peer-review process, we examined 43 individual reviewers' ratings and written critiques of the same group of 25 NIH grant applications. Results showed no agreement among reviewers regarding the quality of the applications in either their qualitative or quantitative evaluations. Although all reviewers received the same instructions on how to rate applications and format their written critiques, we also found no agreement in how reviewers "translated" a given number of strengths and weaknesses into a numeric rating. It appeared that the outcome of the grant review depended more on the reviewer to whom the grant was assigned than the research proposed in the grant. This research replicates the NIH peer-review process to examine in detail the qualitative and quantitative judgments of different reviewers examining the same application, and our results have broad relevance for scientific grant peer review.

Keywords:  interrater reliability; linear mixed-effects models; peer review; social sciences

Mesh:

Year:  2018        PMID: 29507248      PMCID: PMC5866547          DOI: 10.1073/pnas.1714379115

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  17 in total

1.  Peering at peer review revealed high degree of chance associated with funding of grant applications.

Authors:  Nancy E Mayo; James Brophy; Mark S Goldberg; Marina B Klein; Sydney Miller; Robert W Platt; Judith Ritchie
Journal:  J Clin Epidemiol       Date:  2006-03-27       Impact factor: 6.437

2.  Outcomes of National Institutes of Health peer review of clinical grant applications.

Authors:  Theodore A Kotchen; Teresa Lindquist; Anita Miller Sostek; Raymond Hoffmann; Karl Malik; Brent Stanfield
Journal:  J Investig Med       Date:  2006-01       Impact factor: 2.895

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

Authors:  Herbert W Marsh; Upali W Jayasinghe; Nigel W Bond
Journal:  Am Psychol       Date:  2008-04

4.  Panel discussion does not improve reliability of peer review for medical research grant proposals.

Authors:  Mikael Fogelholm; Saara Leppinen; Anssi Auvinen; Jani Raitanen; Anu Nuutinen; Kalervo Väänänen
Journal:  J Clin Epidemiol       Date:  2011-08-09       Impact factor: 6.437

5.  A quantitative linguistic analysis of National Institutes of Health R01 application critiques from investigators at one institution.

Authors:  Anna Kaatz; Wairimu Magua; David R Zimmerman; Molly Carnes
Journal:  Acad Med       Date:  2015-01       Impact factor: 6.893

6.  Race, ethnicity, and NIH research awards.

Authors:  Donna K Ginther; Walter T Schaffer; Joshua Schnell; Beth Masimore; Faye Liu; Laurel L Haak; Raynard Kington
Journal:  Science       Date:  2011-08-19       Impact factor: 47.728

7.  Constructed criteria: redefining merit to justify discrimination.

Authors:  Ericluis Uhlmann; Geoffrey L Cohen
Journal:  Psychol Sci       Date:  2005-06

8.  'Your comments are meaner than your score': score calibration talk influences intra- and inter-panel variability during scientific grant peer review.

Authors:  Elizabeth L Pier; Joshua Raclaw; Anna Kaatz; Markus Brauer; Molly Carnes; Mitchell J Nathan; Cecilia E Ford
Journal:  Res Eval       Date:  2017-02-14

9.  Funding grant proposals for scientific research: retrospective analysis of scores by members of grant review panel.

Authors:  Nicholas Graves; Adrian G Barnett; Philip Clarke
Journal:  BMJ       Date:  2011-09-27

10.  The validation of peer review through research impact measures and the implications for funding strategies.

Authors:  Stephen A Gallo; Afton S Carpenter; David Irwin; Caitlin D McPartland; Joseph Travis; Sofie Reynders; Lisa A Thompson; Scott R Glisson
Journal:  PLoS One       Date:  2014-09-03       Impact factor: 3.240

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  25 in total

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2.  Recommendations for Reviewers of Biomedical Imaging Grant Applications.

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

3.  Laughter and the Chair: Social Pressures Influencing Scoring During Grant Peer Review Meetings.

Authors:  Elizabeth L Pier; Joshua Raclaw; Molly Carnes; Cecilia E Ford; Anna Kaatz
Journal:  J Gen Intern Med       Date:  2019-04       Impact factor: 5.128

Review 4.  Academic conflict of interest.

Authors:  Djillali Annane; Nicolas Lerolle; Sylvain Meuris; Jean Sibilla; Keith M Olsen
Journal:  Intensive Care Med       Date:  2018-11-13       Impact factor: 17.440

5.  Confronting Racism in All Forms of Pain Research: Reframing Study Designs.

Authors:  Janelle E Letzen; Vani A Mathur; Mary R Janevic; Michael D Burton; Anna M Hood; Calia A Morais; Staja Q Booker; Claudia M Campbell; Edwin N Aroke; Burel R Goodin; Lisa C Campbell; Ericka N Merriwether
Journal:  J Pain       Date:  2022-02-26       Impact factor: 5.383

6.  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

7.  Unburdening the Shoulders of Giants: A Quest for Disconnected Academic Psychology.

Authors:  Dario Krpan
Journal:  Perspect Psychol Sci       Date:  2020-05-05

8.  The analysis of living systems can generate both knowledge and illusions.

Authors:  Antony M Jose
Journal:  Elife       Date:  2020-06-18       Impact factor: 8.140

9.  What makes an effective grants peer reviewer? An exploratory study of the necessary skills.

Authors:  Miriam L E Steiner Davis; Tiffani R Conner; Kate Miller-Bains; Leslie Shapard
Journal:  PLoS One       Date:  2020-05-13       Impact factor: 3.240

10.  Gender Bias Impacts Top-Merited Candidates.

Authors:  Emma Rachel Andersson; Carolina E Hagberg; Sara Hägg
Journal:  Front Res Metr Anal       Date:  2021-05-10
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