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Cited by 307

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Questioning a White Male Advantage in STEM: Examining Disparities in College Major by Gender and Race/Ethnicity

Riegle-Crumb, Catherine, King, Barbara·2010·Educational Researcher

Abstract

The authors analyze national data on recent college matriculants to investigate gender and racial/ethnic disparities in STEM fields, with an eye toward the role of academic preparation and attitudes in shaping such disparities. Results indicate that physical science/engineering (PS/E) majors are dominated by men, but not, however, disproportionately by White men. After accounting for high school preparation, the odds of declaring a PS/E major are two times greater for Black males than for White males, and Black females are closer than White females to closing the gap with White males. The authors find virtually no evidence that math attitudes contribute to disparities in choice of a PS/E major. Finally, in contrast to PS/E fields, biological sciences draw relatively equitably from all groups.

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Metadata

Authors
Riegle-Crumb, C., & King, B.
Venue
Educational Researcher
Published
2010-12
Volume
39
Issue
9
Pages
656-664
ISSN
  • 0013-189X (ISSN-L)
  • 1935-102X
OpenAlex
W2062484249
Cited by
307
References
2
FWCI
20.03
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Questioning a White Male Advantage in STEM: Examining Disparities in College Major by Gender and Race/Ethnicity. https://app.cochat.ai/papers/10.3102/0013189x10391657
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Riegle-Crumb, C., & King, B. (2010). Questioning a White Male Advantage in STEM: Examining Disparities in College Major by Gender and Race/Ethnicity. Educational Researcher. https://doi.org/10.3102/0013189x10391657

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.