VIDEO DOI: https://doi.org/10.48448/69a0-0p58

technical paper

Peer Review Congress 2022

September 09, 2022

Chicago, United States

Association Between Author Prominence and Peer Reviewers' Willingness to Review and Their Evaluations of Manuscripts Submitted to a Finance Journal

keywords:

editorial and peer review process

peer review

bias

Objective Merton 1 argued that “eminent scientists get disproportionately great credit for their contribution to science while relatively unknown scientists tend to get disproportionately little credit for comparable contributions.” In this context, this study asked (1) is there a status bias in reviewers’ propensity to accept review invitations? and (2) is there a status bias in their evaluation of the paper?

Design A manuscript written by Vernon Smith (Nobel laureate, high prominence) and Sabiou Inoua (young researcher, low prominence) was submitted to the Journal of Behavioral and Experimental Finance for peer review. The paper was assigned to 3299 reviewers randomized into 5 conditions: (1) no author name in the invitation email or on the manuscript’s title page (treatment: AA; 576 reviewers); (2) high-prominence author name on manuscript only (AH; 696); (3) low-prominence author name on manuscript only (AL; 739); (4) high-prominence author name on both email and manuscript (HH; 507); and (5) low-prominence author name on both email and manuscript (LL; 781). To avoid confounding, only 1 name was shown in the email and on the manuscript, and the author was always designated as the corresponding author. Reviewers gave consent to being part of the study prior to accessing the paper. Those who submitted a report were debriefed after the study. Reviewers’ decisions to accept the invitation in response to anonymized (AA, AH, AL) vs nonanonymized (LL, HH) emails were compared using Fisher exact tests. The distribution of publication recommendations (eg, reject, major revision, minor revision, or accept) was compared for manuscripts that showed the author’s name (AL, AH) vs those that did not (AA) using Mann-Whitney tests.

Results A total of 2611 researchers (79.1%) responded to the invitation, 821 of whom agreed to review (31.4%). The invitation showing Vernon Smith was accepted statistically significantly more often than those showing no author name or Sabiou Inoua (acceptances: HH, 158 of 410 38.5% vs LL, 174 of 610 28.5%; P = .001; HH, 158 of 410 38.5% vs anonymized, 489 of 1591 30.7%; P = .003). Of the 821 reviewers who accepted the invitation, 534 (65.0%) submitted reports (AA, 110; AL, 101; AH, 102; LL, 114; and HH, 107). The manuscript showing the prominent author received 53.3% less reject recommendations and more than 10 times as many accept recommendations as the anonymized version (test on the distribution of recommendations: AH vs AA, P < .001) (Table 11, A). The manuscript showing the name of the less prominent author got 35.5% more reject recommendations and 63.7% less minor revision recommendations than the anonymized version (test on the distribution of recommendations: AL vs AA, P = .005) (Table 11, B). Author prominence affected the willingness to review and reviewers’ recommendations.

Conclusions Although double-anonymized peer review is not a panacea, 2 this study’s results still support its use in the field of finance.

References 1. Merton, RK. The Matthew effect in science. Science. 1968;159(3810):56-63. doi:10.1126/science.159.3810.56

2. Snodgrass, R. Single- versus double-blind reviewing: an analysis of the literature. ACM SIGMOD Record. 2006;35(3):8-21. doi:10.1145/1168092.1168094

Conflict of Interest Disclosures None reported.

Funding/Support Financial support from the Austrian Science Fund through SFB F63 is gratefully acknowledged.

Role of the Funder/Sponsor The funding organization did not play any role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the abstract; and the decision to submit the abstract for presentation.

Additional Information Jürgen Huber is a co–corresponding author.

Downloads

SlidesTranscript English (automatic)

Next from Peer Review Congress 2022

Factor Analysis of Academic Reviewers Ratings of Journal Articles on a 38-Item Scientific Quality Instrument | VIDEO
technical paper

Factor Analysis of Academic Reviewers Ratings of Journal Articles on a 38-Item Scientific Quality Instrument | VIDEO

Peer Review Congress 2022

Guy Madison

09 September 2022

Similar lecture

Decision-making approaches to grant funding allocation: insights from a realist synthesis
technical paper

Decision-making approaches to grant funding allocation: insights from a realist synthesis

PEERE

+7Cephas A. S. BarretoJuan Pablo AlperinAlejandra Recio-Saucedo
Alejandra Recio-Saucedo and 9 other authors

30 September 2020

Stay up to date with the latest Underline news!

Select topic of interest (you can select more than one)

PRESENTATIONS

  • All Lectures
  • For Librarians
  • Resource Center
  • Free Trial
Underline Science, Inc.
1216 Broadway, 2nd Floor, New York, NY 10001, USA

© 2023 Underline - All rights reserved