» Articles » PMID: 39233717

A Re-evaluation of Gender Bias in Receptiveness to Scientific Evidence of Gender Bias

Overview
Journal R Soc Open Sci
Specialty Science
Date 2024 Sep 5
PMID 39233717
Authors
Affiliations
Soon will be listed here.
Abstract

Gender bias has been documented in many aspects of Science, Technology, Engineering and Mathematics (STEM) careers, yet efforts to identify the underlying causes have been inconclusive. To what extent do cognitive biases, including unequal receptiveness in women and men to evidence of gender bias, contribute to gender bias in STEM? We investigated receptiveness in a STEM context among members of the general public, by undertaking a high-powered (total = 1171) replication, including three experiments (2 pre-registered) of the prominent study by Handley . [22]. It was hypothesized that men would evaluate a research summary reporting evidence of gender bias less favourably than women but that there would be no difference between men and women's evaluations of research summaries unrelated to gender bias. The results revealed no effect of the assessor's gender on receptiveness to scientific evidence of gender bias. The different results compared to those of Handley . [22] suggest either that the gender bias they detected has diminished in the past decade or that their findings are a false positive. The present research adds to a growing body of evidence suggesting that some influential studies on cognitive 'markers' of gender bias warrant re-examination.

References
1.
Faul F, Erdfelder E, Buchner A, Lang A . Statistical power analyses using G*Power 3.1: tests for correlation and regression analyses. Behav Res Methods. 2009; 41(4):1149-60. DOI: 10.3758/BRM.41.4.1149. View

2.
Kuhberger . The Influence of Framing on Risky Decisions: A Meta-analysis. Organ Behav Hum Decis Process. 1998; 75(1):23-55. DOI: 10.1006/obhd.1998.2781. View

3.
Balduzzi S, Rucker G, Schwarzer G . How to perform a meta-analysis with R: a practical tutorial. Evid Based Ment Health. 2019; 22(4):153-160. PMC: 10231495. DOI: 10.1136/ebmental-2019-300117. View

4.
Williams W, Ceci S . National hiring experiments reveal 2:1 faculty preference for women on STEM tenure track. Proc Natl Acad Sci U S A. 2015; 112(17):5360-5. PMC: 4418903. DOI: 10.1073/pnas.1418878112. View

5.
Connor P, Weeks M, Glaser J, Chen S, Keltner D . Intersectional implicit bias: Evidence for asymmetrically compounding bias and the predominance of target gender. J Pers Soc Psychol. 2022; 124(1):22-48. DOI: 10.1037/pspa0000314. View