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Cited by 342

The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.

The loss of women from science, mathematics, and engineering undergraduate majors: An explanatory account

Seymour, Elaine·1995·Science Education

Abstract

The reasons for the loss of high ability women from science, mathematics, and engineering undergraduate majors are not well understood. However, investigators have, consistently, found an early loss of confidence in their ability to “do science” among such women. In seeking to explain why the vulnerability of women to leaving science majors greatly exceeds that of men, the author draws upon the findings of a 3‐year, ethnographic study of factors contributing to high undergraduate attrition rates among men and women of different ethnicities on seven campuses of different type. The explanatory focus is upon the consequences of a misfit between the learned expectations of women entering college mathematics and science classes, and those of faculty and male peers, about the purpose and nature of the undergraduate experience in these majors. © 1995 John Wiley & Sons, Inc.

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Metadata

Authors
Seymour, E.
Venue
Science Education
Publisher
Wiley
Published
1995-07
Volume
79
Issue
4
Pages
437-473
ISSN
  • 0036-8326 (ISSN-L)
  • 1098-237X
OpenAlex
W2016201542
Cited by
342
References
29
FWCI
24.08
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The loss of women from science, mathematics, and engineering undergraduate majors: An explanatory account. https://app.cochat.ai/papers/10.1002/sce.3730790406
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Seymour, E. (1995). The loss of women from science, mathematics, and engineering undergraduate majors: An explanatory account. Science Education. https://doi.org/10.1002/sce.3730790406

Data sources

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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.