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Are numerical scores important for grant assessment? A cross-sectional study [version 2; peer review: 2 approved, 1 approved with reservations, 1 not approved]

Authors :
Ivan Buljan
David G. Pina
Antonija Mijatović
Ana Marušić
Author Affiliations :
<relatesTo>1</relatesTo>Department of Psychology, Faculty of Humanities and Social Sciences in Split, University of Split, Split, Croatia<br /><relatesTo>2</relatesTo>European Research Executive Agency, European Commission, Brussels, Belgium<br /><relatesTo>3</relatesTo>Department of Research in Biomedicine and Health and Center for Evidence-based Medicine, Medical School of Split, Split, Croatia
Source :
F1000Research. 12:1216
Publication Year :
2024
Publisher :
London, UK: F1000 Research Limited, 2024.

Abstract

Background: In the evaluation of research proposals, reviewers are often required to provide their opinions using various forms of quantitative and qualitative criteria. In 2020, the European Commission removed, for the Marie Skłodowska-Curie Actions (MSCA) Innovative Training Networks (ITN) funding scheme, the numerical scores from the individual evaluations but retained them in the consensus report. This study aimed to assess whether there were any differences in reviewer comments’ linguistic characteristics after the numerical scoring was removed, compared to comments from 2019 when numerical scoring was still present. Methods: This was an observational study and the data were collected for the Marie Skłodowska-Curie Actions (MSCA) Innovative Training Networks (ITN) evaluation reports from the calls of 2019 and 2020, for both individual and consensus comments and numerical scores about the quality of the research proposal on three evaluation criteria: Excellence, Impact and Implementation. All comments were analyzed using the Linguistic Inquiry and Word Count (LIWC) program. Results: For both years, the comments for proposal’s strengths were written in a style that reflects objectivity, clout, and positive affect, while in weaknesses cold and objective style dominated, and that pattern remained stable across proposal status and research domains. Linguistic variables explained a very small proportion of the variance of the differences between 2019 and 2020 (McFadden R 2=0.03). Conclusions: Removing the numerical scores was not associated with the differences in linguistic characteristics of the reviewer comments. Future studies should adopt a qualitative approach to assess whether there are conceptual changes in the content of the comments.

Details

ISSN :
20461402
Volume :
12
Database :
F1000Research
Journal :
F1000Research
Notes :
Revised Amendments from Version 1 The new version contains justifications on methodological (e.g. panel grouping) and statistical decisions made. On top of that, we published all analyses and data online in order to make our study reproducible., , [version 2; peer review: 2 approved, 1 approved with reservations, 1 not approved]
Publication Type :
Academic Journal
Accession number :
edsfor.10.12688.f1000research.139743.2
Document Type :
research-article
Full Text :
https://doi.org/10.12688/f1000research.139743.2