TY - JOUR
T1 - Meta-Research
T2 - Weak evidence of country- and institution-related status bias in the peer review of abstracts
AU - Nielsen, Mathias Wullum
AU - Baker, Christine Friis
AU - Brady, Emer
AU - Petersen, Michael Bang
AU - Andersen, Jens Peter
N1 - © 2021, Nielsen et al.
PY - 2021/3/18
Y1 - 2021/3/18
N2 - Research suggests that scientists based at prestigious institutions receive more credit for their work than scientists based at less prestigious institutions, as do scientists working in certain countries. We examined the extent to which country- and institution-related status signals drive such differences in scientific recognition. In a preregistered survey experiment, we asked 4,147 scientists from six disciplines (astronomy, cardiology, materials science, political science, psychology and public health) to rate abstracts that varied on two factors: (i) author country (high status vs lower status in science); (ii) author institution (high status vs lower status university). We found only weak evidence of country- or institution-related status bias, and mixed regression models with discipline as random-effect parameter indicated that any plausible bias not detected by our study must be small in size.
AB - Research suggests that scientists based at prestigious institutions receive more credit for their work than scientists based at less prestigious institutions, as do scientists working in certain countries. We examined the extent to which country- and institution-related status signals drive such differences in scientific recognition. In a preregistered survey experiment, we asked 4,147 scientists from six disciplines (astronomy, cardiology, materials science, political science, psychology and public health) to rate abstracts that varied on two factors: (i) author country (high status vs lower status in science); (ii) author institution (high status vs lower status university). We found only weak evidence of country- or institution-related status bias, and mixed regression models with discipline as random-effect parameter indicated that any plausible bias not detected by our study must be small in size.
U2 - 10.7554/eLife.64561
DO - 10.7554/eLife.64561
M3 - Journal article
C2 - 33734086
VL - 10
SP - e64561
JO - eLife
JF - eLife
SN - 2050-084X
ER -