Menage a quoi? Optimal number of peer reviewers.

Peer review represents the primary mechanism used by funding agencies to allocate financial support and by journals to select manuscripts for publication, yet recent Cochrane reviews determined literature on peer review best practice is sparse. Key to improving the process are reduction of inherent...

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Main Author: Richard R Snell
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2015-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0120838
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spelling doaj-da988e7ab05c48c39bed1c07d46c1a182021-03-03T20:06:56ZengPublic Library of Science (PLoS)PLoS ONE1932-62032015-01-01104e012083810.1371/journal.pone.0120838Menage a quoi? Optimal number of peer reviewers.Richard R SnellPeer review represents the primary mechanism used by funding agencies to allocate financial support and by journals to select manuscripts for publication, yet recent Cochrane reviews determined literature on peer review best practice is sparse. Key to improving the process are reduction of inherent vulnerability to high degree of randomness and, from an economic perspective, limiting both the substantial indirect costs related to reviewer time invested and direct administrative costs to funding agencies, publishers and research institutions. Use of additional reviewers per application may increase reliability and decision consistency, but adds to overall cost and burden. The optimal number of reviewers per application, while not known, is thought to vary with accuracy of judges or evaluation methods. Here I use bootstrapping of replicated peer review data from a Post-doctoral Fellowships competition to show that five reviewers per application represents a practical optimum which avoids large random effects evident when fewer reviewers are used, a point where additional reviewers at increasing cost provides only diminishing incremental gains in chance-corrected consistency of decision outcomes. Random effects were most evident in the relative mid-range of competitiveness. Results support aggressive high- and low-end stratification or triaging of applications for subsequent stages of review, with the proportion and set of mid-range submissions to be retained for further consideration being dependent on overall success rate.https://doi.org/10.1371/journal.pone.0120838
collection DOAJ
language English
format Article
sources DOAJ
author Richard R Snell
spellingShingle Richard R Snell
Menage a quoi? Optimal number of peer reviewers.
PLoS ONE
author_facet Richard R Snell
author_sort Richard R Snell
title Menage a quoi? Optimal number of peer reviewers.
title_short Menage a quoi? Optimal number of peer reviewers.
title_full Menage a quoi? Optimal number of peer reviewers.
title_fullStr Menage a quoi? Optimal number of peer reviewers.
title_full_unstemmed Menage a quoi? Optimal number of peer reviewers.
title_sort menage a quoi? optimal number of peer reviewers.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2015-01-01
description Peer review represents the primary mechanism used by funding agencies to allocate financial support and by journals to select manuscripts for publication, yet recent Cochrane reviews determined literature on peer review best practice is sparse. Key to improving the process are reduction of inherent vulnerability to high degree of randomness and, from an economic perspective, limiting both the substantial indirect costs related to reviewer time invested and direct administrative costs to funding agencies, publishers and research institutions. Use of additional reviewers per application may increase reliability and decision consistency, but adds to overall cost and burden. The optimal number of reviewers per application, while not known, is thought to vary with accuracy of judges or evaluation methods. Here I use bootstrapping of replicated peer review data from a Post-doctoral Fellowships competition to show that five reviewers per application represents a practical optimum which avoids large random effects evident when fewer reviewers are used, a point where additional reviewers at increasing cost provides only diminishing incremental gains in chance-corrected consistency of decision outcomes. Random effects were most evident in the relative mid-range of competitiveness. Results support aggressive high- and low-end stratification or triaging of applications for subsequent stages of review, with the proportion and set of mid-range submissions to be retained for further consideration being dependent on overall success rate.
url https://doi.org/10.1371/journal.pone.0120838
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