An experimental test of the effects of redacting grant applicant identifiers on peer review outcomes.

Background: Blinding reviewers to applicant identity has been proposed to reduce bias in peer review. Methods: This experimental test used 1200 NIH grant applications, 400 from Black investigators, 400 matched applications from White investigators, and 400 randomly selected applications from White investigators. Applications were reviewed by mail in standard and redacted formats. Results: Redaction reduced, but did not eliminate, reviewers' ability to correctly guess features of identity. The primary, preregistered analysis hypothesized a differential effect of redaction according to investigator race in the matched applications. A set of secondary analyses (not preregistered) used the randomly selected applications from White scientists and tested the same interaction. Both analyses revealed similar effects: Standard format applications from White investigators scored better than those from Black investigators. Redaction cut the size of the difference by about half (e.g. from a Cohen's d of 0.20-0.10 in matched applications); redaction caused applications from White scientists to score worse but had no effect on scores for Black applications. Conclusions: Grant-writing considerations and halo effects are discussed as competing explanations for this pattern. The findings support further evaluation of peer review models that diminish the influence of applicant identity. Funding: Funding was provided by the NIH.

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 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.