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NIH peer review: Criterion scores completely account for racial disparities in overall impact scores

Previous research has found that funding disparities are driven by applications’ final impact scores and that only a portion of the black/white funding gap can be explained by bibliometrics and topic choice. Using National Institutes of Health R01 applications for council years 2014–2016, we examine...

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Detalles Bibliográficos
Autores principales: Erosheva, Elena A., Grant, Sheridan, Chen, Mei-Ching, Lindner, Mark D., Nakamura, Richard K., Lee, Carole J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7269672/
https://www.ncbi.nlm.nih.gov/pubmed/32537494
http://dx.doi.org/10.1126/sciadv.aaz4868
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author Erosheva, Elena A.
Grant, Sheridan
Chen, Mei-Ching
Lindner, Mark D.
Nakamura, Richard K.
Lee, Carole J.
author_facet Erosheva, Elena A.
Grant, Sheridan
Chen, Mei-Ching
Lindner, Mark D.
Nakamura, Richard K.
Lee, Carole J.
author_sort Erosheva, Elena A.
collection PubMed
description Previous research has found that funding disparities are driven by applications’ final impact scores and that only a portion of the black/white funding gap can be explained by bibliometrics and topic choice. Using National Institutes of Health R01 applications for council years 2014–2016, we examine assigned reviewers’ preliminary overall impact and criterion scores to evaluate whether racial disparities in impact scores can be explained by application and applicant characteristics. We hypothesize that differences in commensuration—the process of combining criterion scores into overall impact scores—disadvantage black applicants. Using multilevel models and matching on key variables including career stage, gender, and area of science, we find little evidence for racial disparities emerging in the process of combining preliminary criterion scores into preliminary overall impact scores. Instead, preliminary criterion scores fully account for racial disparities—yet do not explain all of the variability—in preliminary overall impact scores.
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spelling pubmed-72696722020-06-11 NIH peer review: Criterion scores completely account for racial disparities in overall impact scores Erosheva, Elena A. Grant, Sheridan Chen, Mei-Ching Lindner, Mark D. Nakamura, Richard K. Lee, Carole J. Sci Adv Research Articles Previous research has found that funding disparities are driven by applications’ final impact scores and that only a portion of the black/white funding gap can be explained by bibliometrics and topic choice. Using National Institutes of Health R01 applications for council years 2014–2016, we examine assigned reviewers’ preliminary overall impact and criterion scores to evaluate whether racial disparities in impact scores can be explained by application and applicant characteristics. We hypothesize that differences in commensuration—the process of combining criterion scores into overall impact scores—disadvantage black applicants. Using multilevel models and matching on key variables including career stage, gender, and area of science, we find little evidence for racial disparities emerging in the process of combining preliminary criterion scores into preliminary overall impact scores. Instead, preliminary criterion scores fully account for racial disparities—yet do not explain all of the variability—in preliminary overall impact scores. American Association for the Advancement of Science 2020-06-03 /pmc/articles/PMC7269672/ /pubmed/32537494 http://dx.doi.org/10.1126/sciadv.aaz4868 Text en Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY). http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Erosheva, Elena A.
Grant, Sheridan
Chen, Mei-Ching
Lindner, Mark D.
Nakamura, Richard K.
Lee, Carole J.
NIH peer review: Criterion scores completely account for racial disparities in overall impact scores
title NIH peer review: Criterion scores completely account for racial disparities in overall impact scores
title_full NIH peer review: Criterion scores completely account for racial disparities in overall impact scores
title_fullStr NIH peer review: Criterion scores completely account for racial disparities in overall impact scores
title_full_unstemmed NIH peer review: Criterion scores completely account for racial disparities in overall impact scores
title_short NIH peer review: Criterion scores completely account for racial disparities in overall impact scores
title_sort nih peer review: criterion scores completely account for racial disparities in overall impact scores
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7269672/
https://www.ncbi.nlm.nih.gov/pubmed/32537494
http://dx.doi.org/10.1126/sciadv.aaz4868
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