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Cited by 285

The DOI matches its Crossref record; 97 of the 97 references it cites were found in a registry or an index.

The Effects of a Female Role Model on Academic Performance and Persistence of Women in STEM Courses

Open access
Herrmann, Sarah D., Adelman, Robert Mark, Bodford, Jessica E., Graudejus, Oliver, Okun, Morris A., Kwan, Virginia S. Y.·2016·Basic and Applied Social Psychology

Abstract

Women are more likely to leave science, technology, engineering, and mathematics compared to men, in part because they lack similar role models such as peers, teaching assistants, and instructors. We examined the effect of a brief, scalable online intervention that consisted of a letter from a female role model who normalized concerns about belonging, presented time spent on academics as an investment, and exemplified overcoming challenges on academic performance and persistence. The intervention was implemented in introductory psychology (Study 1, N = 258) and chemistry (Study 2, N = 68) courses. Relative to the control group, the intervention group had higher grades and lower failing and withdrawal rates.

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Metadata

Authors
Herrmann, S. D., Adelman, R. M., Bodford, J. E., Graudejus, O., Okun, M. A., & Kwan, V. S. Y.
Venue
Basic and Applied Social Psychology
Published
2016-08-19
Volume
38
Issue
5
Pages
258-268
ISSN
  • 0197-3533 (ISSN-L)
  • 1532-4834
OpenAlex
W2512169538
Cited by
285
References
97
FWCI
29.59
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: The Effects of a Female Role Model on Academic Performance and Persistence of Women in STEM Courses. https://app.cochat.ai/papers/10.1080/01973533.2016.1209757
The paper
Herrmann, S. D., Adelman, R. M., Bodford, J. E., Graudejus, O., Okun, M. A., & Kwan, V. S. Y. (2016). The Effects of a Female Role Model on Academic Performance and Persistence of Women in STEM Courses. Basic and Applied Social Psychology. https://doi.org/10.1080/01973533.2016.1209757

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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.