Differential gender bias in self-predicted performance in medical tests

The percentage of women in highly competitive programs increased significantly when applicants chose their program after knowing their standardized test scores. Men studying Medicine overestimated their test performance vs. all other groups. Although their actual scores were not statistically different from those of women, men predicted higher test scores regardless of how difficult they perceived the evaluated topic to be or how relevant they thought it would be for their future career plans.

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Publication Details

Journal
BMC Medical Education
Published
2025-07-01
DOI
https://doi.org/10.1186/s12909-025-07568-y
Primary Topic
Advanced Causal Inference Techniques
Type
article
Field-Weighted Citation Impact
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article

Differential gender bias in self-predicted performance in medical tests

Adrián Soto-Mota, Andrés Castañeda Prado, Lisa Ortiz, Martı́n Lara et al.
1 links
BMC Medical Education
Advanced Causal Inference Techniques
article

Differential gender bias in self-predicted performance in medical tests

Adrián Soto-Mota, Andrés Castañeda Prado, Lisa Ortiz, Martı́n Lara, Pablo Soto-Mota
article en

Abstract

The percentage of women in highly competitive programs increased significantly when applicants chose their program after knowing their standardized test scores. Men studying Medicine overestimated their test performance vs. all other groups. Although their actual scores were not statistically different from those of women, men predicted higher test scores regardless of how difficult they perceived the evaluated topic to be or how relevant they thought it would be for their future career plans.

BMC Medical EducationVol. 25(1)
El Colegio de México (MX), Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán (MX), Universidad Nacional Autónoma de México (MX), Tecnológico de Monterrey (MX)
Instituto Tecnológico y de Estudios Superiores de Monterrey
Gender equality
Openalex Percentile: Top 84%
Advanced Causal Inference Techniques
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