Pedestrians walking on a city sidewalk with yellow taxis driving by in the background, near storefronts including a Lindt shop. People's midsections and legs are primarily visible.

Gender and Self-Perception in Competition

read time - icon

0 min read

Jul 01, 2017

In my first year of graduate school, I had the privilege of working for one of the most brilliant thinkers I have ever known — let’s call her Sarah. Sarah is objectively smarter than I am. She is also much better-credentialed and more knowledgeable. Yet, as we grew close over the course of the semester, Sarah confided that throughout her life she has often questioned her own intelligence. While this is likely a product of the hyper-intellectual circles she finds herself in, there does seem to be another component of this uncertainty that is socially-induced — one that may explain why Sarah has these doubts, while I tend not to.

Gender and Self-Perception of Intelligence

In an attempt to understand how self-perception of intelligence differs between genders, Hogan (1978) asked nearly 2,000 survey respondents to estimate their own IQs, as well as those of their parents and grandparents.[1] He found that female participants underestimated their own IQ scores, while males tended to overestimate theirs. More shockingly, without exception both male and female participants “projected higher IQs onto their fathers than their mothers.” Throughout the 90s, a number of follow-up studies successfully replicated these findings, and though some argued the effect is due to outliers rather than general differences (Reilly & Mulhern, 1995)[2], Furnham and Rawles (1999) demonstrated that these effects hold even after such outliers are removed.[3]

Expanding on these results, Rammstedt and Rammsayer (2000) showed that gender differences were not significant in overall intelligence, but rather in specific domains — with males overestimating “their mathematical, spatial, and reasoning abilities relative to females” and females rating their musical and interpersonal intelligence as higher than males.[4] The authors note that, because mathematical and spatial reasoning are often the traits most strongly-weighted when considering overall intelligence, these results may drive the differing perceptions of general intellectual ability.

From a behavioral economics standpoint, these gender differences are critically important. If one perceives herself (rightly or wrongly) to be less-qualified, she may also believe her academic or professional potential to be lower. Because elite academic and workplace environments tend to be thought of as highly competitive, self-perception may lead well-qualified candidates to not pursue such opportunities.

References

[1] Hogan, H. Wayne. “IQ self-estimates of males and females.” The Journal of Social Psychology 106.1 (1978): 137-138.

[2] Reilly, Jacqueline, and Gerry Mulhern. “Gender differences in self-estimated IQ: The need for care in interpreting group data.” Personality and individual Differences 18.2 (1995): 189-192.

[3] Furnham, Adrian, and Richard Rawles. “Correlations between self-estimated and psychometrically measured IQ.” The Journal of Social Psychology 139.4 (1999): 405-410.

[4] Rammstedt, Beatrice, and Thomas H. Rammsayer. “Sex differences in self-estimates of different aspects of intelligence.” Personality and Individual Differences 29.5 (2000): 869-880.

[5] Niederle, Muriel, and Lise Vesterlund. “Gender and competition.” Annu. Rev. Econ. 3.1 (2011): 601-630.

[6] Niederle, Muriel, and Lise Vesterlund. “Do women shy away from competition? Do men compete too much?.” The Quarterly Journal of Economics 122.3 (2007): 1067-1101.

[7] Gneezy, Uri, Muriel Niederle, and Aldo Rustichini. “Performance in competitive environments: Gender differences.” The Quarterly Journal of Economics 118.3 (2003): 1049-1074.

[8] Croson, Rachel, and Uri Gneezy. “Gender differences in preferences.” Journal of Economic literature 47.2 (2009): 448-474.

[9] Bertrand, Marianne, and Kevin F. Hallock. “The gender gap in top corporate jobs.” ILR Review 55.1 (2001): 3-21.

[10] Barbulescu, Roxana, and Matthew Bidwell. “Do women choose different jobs from men? Mechanisms of application segregation in the market for managerial workers.” Organization Science 24.3 (2013): 737-756.

[11] Cejka, Mary Ann, and Alice H. Eagly. “Gender-stereotypic images of occupations correspond to the sex segregation of employment.” Personality and social psychology bulletin 25.4 (1999): 413-423.

About the Author

A person wearing glasses and a light blue buttoned shirt is standing outside with trees and blurred natural scenery in the background.

Andrew Lewis

Contributor

Andrew is a writer and behavioral scientist focused on belief construction and how people evaluate new information. He is a PhD candidate in Politics at the University of Oxford, and a doctoral researcher at its Centre for Experimental Social Science (CESS). He was previously at Carnegie Mellon University where he worked at the BEDR Policy Lab and Center for Behavioral and Decision Research (CBDR), and was a research and teaching assistant to George Loewenstein.

About us

We are the leading applied research & innovation consultancy

Our insights are leveraged by the most ambitious organizations

Image

I was blown away with their application and translation of behavioral science into practice. They took a very complex ecosystem and created a series of interventions using an innovative mix of the latest research and creative client co-creation. I was so impressed at the final product they created, which was hugely comprehensive despite the large scope of the client being of the world's most far-reaching and best known consumer brands. I'm excited to see what we can create together in the future.

Heather McKee

BEHAVIORAL SCIENTIST

GLOBAL COFFEEHOUSE CHAIN PROJECT

OUR CLIENT SUCCESS

$0M

Annual Revenue Increase

By launching a behavioral science practice at the core of the organization, we helped one of the largest insurers in North America realize $30M increase in annual revenue.

0%

Increase in Monthly Users

By redesigning North America's first national digital platform for mental health, we achieved a 52% lift in monthly users and an 83% improvement on clinical assessment.

0%

Reduction In Design Time

By designing a new process and getting buy-in from the C-Suite team, we helped one of the largest smartphone manufacturers in the world reduce software design time by 75%.

0%

Reduction in Client Drop-Off

By implementing targeted nudges based on proactive interventions, we reduced drop-off rates for 450,000 clients belonging to USA's oldest debt consolidation organizations by 46%

Read Next

Notes illustration

Eager to learn about how behavioral science can help your organization?