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Nosek et al. (2009): National differences in gender-science stereotypes predict national sex differences in science and math achievement
hdl:1902.1/12643
Version: 1 – Released: Sun May 03 15:31:45 EDT 2009
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Data Citation Details
Study Global IDhdl:1902.1/12643
AuthorsBrian Nosek, Fred Smyth + 23 co-authors (University of Virginia)
ProducerFred Smyth, University of Virginia
Production Date2008
DistributorBrian Nosek, University of Virginia; Murray Research Archive Logo
Distributor ContactFred Smyth (University of Virginia), fsmyth@virginia.edu
Distribution Date2009
Deposit DateMay 03, 2009
Provenance
Abstract and Scope
Abstract

About 70% of more than half a million Implicit Association Tests (IATs) completed by citizens of 34 countries revealed expected implicit stereotypes associating science with male more than with female. We discovered that nation-level implicit stereotype 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.

Abstract Date2009
Keywordsscience achievement, gender stereotypes, implicit social cognition
Related Publications Nosek, B. A., Smyth, F. L., Sriram, N., Lindner, N. M., Devos, T., Ayala, A., Bar-Anan, Y., Bergh, R., Cai, H., Gonsalkorale, K., Kesebir, S., Maliszewski, N., Neto, F., Olli, E., Park, J., Schnabel, K., Shiomura, K., Tulbure, B., Wiers, R. W., Somogyi, M., Akrami, N., Ekehammar, B., Vianello, M., Banaji, M. R., & Greenwald, A. G. (2009). National differences in gender-science stereotypes predict national sex differences in science and math achievement. Proceedings of the National Academy of Sciences.
Related Materialhttp://projectimplicit.net/nosek/papers/timss/
Time Period Covered1999 - 2006
Date of Collection1999 - 2006
Country/NationWorld
Geographic CoverageWorld
Geographic UnitWorld
Data Availability
Number of Files 3
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