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Cited by 627

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

Sex differences and similarities in job attribute preferences: A meta-analysis.

Konrad, Alison M., Ritchie, J. Edgar, Lieb, Pamela, Corrigall, Elizabeth·2000·Psychological Bulletin

Abstract

Many researchers have studied sex differences in job attribute preferences. The authors meta-analyzed 242 samples collected from 321,672 men and boys and 316,842 women and girls in the United States between 1970 and 1998. Findings indicated significant (p < .05) sex differences on 33 of 40 job attribute preferences examined. The effect sizes were small. Of the 33 significant differences, 26 had average effect sizes of magnitude .20 or less. The directions of the differences were generally consistent with gender roles and stereotypes. Many job attributes became relatively more important to women and girls in the 1980s and 1990s compared with the 1970s, indicating that women's aspirations to obtain job attributes rose as gender barriers to opportunity declined.

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Metadata

Authors
Konrad, A. M., Ritchie, J. E., Lieb, P., & Corrigall, E.
Venue
Psychological Bulletin
Published
2000
Volume
126
Issue
4
Pages
593-641
ISSN
  • 0033-2909 (ISSN-L)
  • 1939-1455
OpenAlex
W2001591675
Cited by
627
References
6
FWCI
4.98
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Sex differences and similarities in job attribute preferences: A meta-analysis. https://app.cochat.ai/papers/10.1037/0033-2909.126.4.593
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Konrad, A. M., Ritchie, J. E., Lieb, P., & Corrigall, E. (2000). Sex differences and similarities in job attribute preferences: A meta-analysis. Psychological Bulletin. https://doi.org/10.1037/0033-2909.126.4.593

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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.