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Cited by 197

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Reconsidering the Impact of Gender Stereotypes on the Advancement of Women in Organizations

Agars, Mark D.·2004·Psychology of Women Quarterly

Abstract

Over the last 30 years, gender issues in the workplace have received much attention. A review of this literature, however, reveals limited investigation of the impact of gender stereotypes on personnel decisions and the demographic differences present in upper management. In fact, this issue has rarely received serious attention. A misinterpretation of the small effect size typically reported when describing the relationship between stereotypes and evaluations of performance is a likely reason, and a hypothetical demonstration elucidates the more severe impact of stereotypes on women's advancement. Considered cumulatively, stereotypes are a certain and meaningful contributor to the limited presence of women in high-level positions. Renewed consideration of the role of stereotypes in organizational decision making is required, and recommendations for researchers are presented. Other applied issues for which the misinterpretation of gender-based effect sizes has hindered research are discussed.

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Metadata

Authors
Agars, M. D.
Venue
Psychology of Women Quarterly
Published
2004-06
Volume
28
Issue
2
Pages
103-111
ISSN
  • 0361-6843 (ISSN-L)
  • 1471-6402
OpenAlex
W2072811925
Cited by
197
References
6
FWCI
17.77
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Reconsidering the Impact of Gender Stereotypes on the Advancement of Women in Organizations. https://app.cochat.ai/papers/10.1111/j.1471-6402.2004.00127.x
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Agars, M. D. (2004). Reconsidering the Impact of Gender Stereotypes on the Advancement of Women in Organizations. Psychology of Women Quarterly. https://doi.org/10.1111/j.1471-6402.2004.00127.x

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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.