National differences in gender-science stereotypes predict national sex differences in science and math achievement

 
Thumbnail
View/Open
Author
Nosek, Brian A.
Smyth, Frederick L.
Sriram, N.
Lindner, Nicole M.
Devos, Thierry
Ayala, Alfonso
Bar-Anan, Yavo
Bergh, Robin
Cai, Huajian
Gonsalkorale, Karen
Kesebir, Selin
Maliszewski, Norbert
Neto, Felix
Olli, Eero
Park, Jaihyun
Schnabel, Konrad
Shiomura, Kimihiro
Tulbure, Bogdan Tudor
Wiers, Reinout W.
Somogyi, Monika
Akrami, Nazar
Ekehammar, Bo
Vianello, Michelangelo
Greenwald, Anthony G.
Note: Order does not necessarily reflect citation order of authors.
Published Version
https://doi.org/10.1073/pnas.0809921106
Metadata
Show full item record
Citation
Nosek, Brian A., Frederick L. Smyth, N. Sriram, Nicole M. Lindner, Thierry Devos, Alfonso Ayala, Yoav Bar-Anan, et al. 2009. National differences in gender-science stereotypes predict national sex differences in science and math achievement. Proceedings of the National Academy of Sciences 106, no. 26: 10593–10597. doi:10.1073/pnas.0809921106.
Abstract
About 70% of more than half a million Implicit Association Tests completed by citizens of 34 countries revealed expected implicit stereotypes associating science with males more than with females. We discovered that nation-level implicit stereotypes predicted nation-level sex differences in 8th-grade science and mathematics achievement. Self-reported stereotypes did not provide additional predictive validity of the achievement gap. We suggest that implicit stereotypes and sex differences in science participation and performance are mutually reinforcing, contributing to the persistent gender gap in science engagement.
Other Sources
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2705538/
Terms of Use
This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page
http://nrs.harvard.edu/urn-3:HUL.InstRepos:27414715

Collections