Are men more likely than women to commit scientific misconduct? Maybe, maybe not
Related Experiment Video
Updated: May 12, 2026

Protocol for Studying Extinction of Conditioned Fear in Naturally Cycling Female Rats
Published on: February 23, 2015
Abstract:
In their study published in January 2013 in mBio, Fang et al. reviewed records from the Office of Research Integrity (ORI) and found more cases of scientific misconduct committed by men than women, particularly by faculty (F. C. Fang, J. W. Bennett, and A. Casadevall, mBio 4:1-3, 2013). Powerful social norms shape the way men and women behave, and implicit gender schemas can lead to different evaluation standards for men and women for tasks stereotypically linked to one gender. It is possible that norms for acceptable male and female behavior could lead to a lower threshold for men than women to engage in the risky behavior of scientific misconduct. It is also possible that women and men commit scientific fraud at the same rate but that, because crime is a male-gendered domain, evaluators require more proof of the criminal "competence" of women for an investigation to rise to the level of an ORI case or that female gender norms for likeability and a lower apology threshold more often prevent escalation of women's fraud beyond a local level. Male scientists also have more opportunity to commit fraud than female scientists because they receive more NIH research funding--a finding that may also be influenced by gender schemas. We cannot conclude from the ORI data that men are more likely than women to risk the consequences of committing scientific misconduct simply because risk taking aligns with male gender stereotypes. Neither can we conclude that because men are more likely than women to commit fraud in other contexts, men are also more likely than women to commit scientific fraud. We can conclude, however, that scientific misconduct, regardless of who commits it, diminishes all who contribute to the scientific enterprise.
Insights
Men commit more scientific misconduct cases than women, particularly faculty. Social norms and gender schemas may influence this disparity, affecting how misconduct is perceived and reported, though the underlying rates may be similar.
Area of Science:
- Scientific integrity and ethics
- Gender studies in academia
Background:
- Social norms and implicit gender schemas influence behavior and evaluation standards.
- Potential differences in acceptable behavior thresholds for men and women in scientific misconduct.
- Gendered perceptions of crime and competence may affect investigation escalation.
Purpose of the Study:
- To analyze gender disparities in scientific misconduct cases reported to the Office of Research Integrity (ORI).
- To explore potential societal and gender-based factors contributing to observed differences in misconduct.
- To examine the influence of funding opportunities and gender schemas on the incidence of scientific fraud.
Main Methods:
- Review of scientific misconduct records from the Office of Research Integrity (ORI).
- Analysis of cases involving male and female scientists, with a focus on faculty.
Main Results:
- A higher number of scientific misconduct cases were committed by men compared to women.
- Faculty members were disproportionately represented in the cases reviewed.
- Potential influence of gender schemas on research funding allocation (NIH) and opportunities for misconduct.
Conclusions:
- While data show more reported cases by men, definitive conclusions about inherent risk-taking or fraud rates cannot be drawn solely from ORI data.
- Societal norms and gender schemas may play a role in the reporting and escalation of scientific misconduct.
- Scientific misconduct, irrespective of the perpetrator's gender, undermines the scientific enterprise.
Related Concept Videos
Criticisms of the Evolutionary Perspective
Evolutionary psychology provides one explanation for these findings, suggesting...
The Y Chromosome Determines Maleness
Evolution
Around 300 million years ago, the two sex chromosomes diverged from two identical autosomal chromosomes. Over time, the Y chromosome has lost most of its genes, shrinking in size. Today,...
Bias
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
Ethics in Research
Fundamental Attribution Error
Regression Toward the Mean

