Cited by 1,372Career Development and DiversityGender and Technology in EducationScience Education and Perceptions

The DOI matches its Crossref record; 69 of the 70 references it cites were found in a registry or an index.

Ambient belonging: how stereotypical cues impact gender participation in computer science

Cheryan, Sapna, Plaut, Victoria C., Davies, Paul G., Steele, Claude M.·2009·Journal of Personality and Social Psychology

Abstract

People can make decisions to join a group based solely on exposure to that group's physical environment. Four studies demonstrate that the gender difference in interest in computer science is influenced by exposure to environments associated with computer scientists. In Study 1, simply changing the objects in a computer science classroom from those considered stereotypical of computer science (e.g., Star Trek poster, video games) to objects not considered stereotypical of computer science (e.g., nature poster, phone books) was sufficient to boost female undergraduates' interest in computer science to the level of their male peers. Further investigation revealed that the stereotypical broadcast a masculine stereotype that discouraged women's sense of ambient belonging and subsequent interest in the environment (Studies 2, 3, and 4) but had no similar effect on men (Studies 3, 4). This masculine stereotype prevented women's interest from developing even in environments entirely populated by other women (Study 2). Objects can thus come to broadcast stereotypes of a group, which in turn can deter people who do not identify with these stereotypes from joining that group.

Overview

Integrity signals

Registry

Crossref · 10.1037/a0016239

Cites

69 of 69 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Flagged first, then by citations

Show all 70 references

1 of the 70 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Items 901–1,000 of 1,000

Metadata

Authors
Cheryan, S., Plaut, V. C., Davies, P. G., & Steele, C. M.
Affiliations
  • University of Washington (US)
  • University of British Columbia (CA)
  • Stanford University (US)
Venue
Journal of Personality and Social Psychology
Published
2009
Volume
97
Issue
6
Pages
1045-1060
ISSN
  • 0022-3514 (ISSN-L)
  • 1939-1315
OpenAlex
W2056648275
Cited by
1,372
References
70
Citations by year
2026: 71 · 2025: 105 · 2024: 137 · 2023: 106 · 2022: 98 · 2021: 117 · 2020: 182 · 2019: 131 · 2018: 91 · 2017: 66 · 2016: 56 · 2015: 66 · 2014: 50 · 2013: 41 · 2012: 21
FWCI
47.09
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Personality and Social Psychology (publishedVersion)
  • PubMed (publishedVersion)
  • Berkley Law Scholarship Repository (University of California, Berkeley) (submittedVersion)
Topics
  • Social Sciences › Psychology › Applied Psychology › Career Development and Diversity
  • Social Sciences › Gender Studies › Gender and Technology in Education
  • Social Sciences › Psychology › Developmental and Educational Psychology › Science Education and Perceptions
Keywords
gender stereotypes, gender gap in computing, stereotype threat, women in technology, gendered objects, female undergraduates
MeSH terms
Analysis of Variance, Computers, Cues, Environment, Female, Gender Identity, Georgia, Group Processes, Humans, Male, Social Identification, Social Perception, Stereotyped Behavior, Stereotyping, Students, Organizational Culture, Informatics

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review