Gender Gaps in Overestimation of Math Performance
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In the United States, men are more likely to pursue math-intense STEM courses and careers than women. This investigation explored whether positivity bias in the degree to which people overestimate their past performance contributes to this gender gap. To find out, two studies were conducted with undergraduate college students in the Southern United States. In Study 1, participants (n = 122) completed a math test and estimated the percent they had solved. They then were given feedback and completed a second math test and estimation. Men overestimated their performance more than women, judging they had done better on the test than they actually had. This gender difference was not present after feedback. Further, women, but not men, who reported a more positive previous experience with math were more likely to overestimate their performance. In Study 2, participants (n = 184) completed a math test and estimated the percent they had solved. They also reported their interest in pursuing math courses and careers. Again, men overestimated their performance more than women. This greater overestimation of performance in men accounted for their greater intent to pursue math fields compared to women. The findings suggest that gender gaps in STEM fields are not necessarily the result of women underestimating their abilities, but rather may be due to men overestimating their abilities.
KeywordsGender differences Positivity bias STEM Optimism
Compliance with Ethical Standards
The authors declare no conflict of interest. All participants provided informed consent prior to the reported studies. Documentation of informed consent has been maintained for all participants.
- Amelink, C. T., & Creamer, E. G. (2010). Gender differences in elements of the undergraduate experience that influence satisfaction with the engineering major and the intent to pursue engineering as a career. Journal of Engineering Education, 99, 81–92. doi: 10.1002/j.2168-9830.2010.tb01044.x.CrossRefGoogle Scholar
- American Association of University Women (AAUW). (2008). Women and girls in STEM. Washington, DC: Author.Google Scholar
- Cooper, S. E., & Robinson, D. A. G. (1991). The relationship of mathematics self-efficacy beliefs to mathematics anxiety and performance. Measurement and Evaluation in Counseling and Development, 24, 4–11.Google Scholar
- Educational Testing Service. (2007). Scholastic Aptitude Test.Google Scholar
- Hayes, A. F. (2013). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. New York: Guilford Press.Google Scholar
- Marsh, H. W. (1992). SDQ III. Campbelltown: University of Western Sydney, Publication Unit.Google Scholar
- Mezulis, A. H., Abramson, L. Y., Hyde, J. S., & Hankin, B. L. (2004). Is there a universal positivity bias in attributions? A meta-analytic review of individual, developmental, and cultural differences in the self-serving attributional bias. Psychological Bulletin, 130, 711–747. doi: 10.1037/0033-2909.130.5.711.PubMedCrossRefGoogle Scholar
- National Science Foundation. (2008). Science and Engineering Indicators 2008. Retrieved from http://www.nsf.gov/statistics/seind08/.
- Pajares, F. (2005). Gender differences in mathematics self-efficacy beliefs. In A. M. Gallagher & J. C. Kaufman (Eds.), Gender differences in mathematics: An integrative psychological approach (pp. 294–315). New York: Cambridge University Press.Google Scholar
- Stout, J. G., Dasgupta, N., Hunsinger, M., & McManus, M. A. (2011). STEMing the tide: Using ingroup experts to inoculate women’s self-concept in science, technology, engineering, and mathematics (STEM). Journal of Personality and Social Psychology, 100, 255–270. doi: 10.1037/a0021385.PubMedCrossRefGoogle Scholar