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Cited by 193

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Evaluating Gender Biases on Actual Job Performance of Real People: A Meta‐Analysis1

Bowen, Chieh‐Chen, Swim, Janet K., Jacobs, Rick R.·2000·Journal of Applied Social Psychology

Abstract

This study examined gender bias on job performance in work settings where confounding variables (e. g., organizational level, experience, education) were cautiously taken into consideration to ensure fair comparisons. Although previous meta‐analyses examined gender biases on evaluations, findings in tightly controlled laboratory environments may differ from those in highly complicated field studies. We found little evidence of overall gender bias in performance appraisals in nonconfounded field studies. However, there were significant pro‐male biases when only men served as raters. Measure‐specific gender stereotypicality, instead of genera! stereotypicality about the job, produced gender bias in performance appraisal. Masculine measures produced pro‐male bias, and feminine measures produced pro‐female bias.

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Crossref · 10.1111/j.1559-1816.2000.tb02432.x

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Metadata

Authors
Bowen, C., Swim, J. K., & Jacobs, R. R.
Venue
Journal of Applied Social Psychology
Publisher
Wiley
Published
2000-10
Volume
30
Issue
10
Pages
2194-2215
ISSN
  • 0021-9029 (ISSN-L)
  • 1559-1816
OpenAlex
W2031964252
Cited by
193
References
3
FWCI
6.05
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Evaluating Gender Biases on Actual Job Performance of Real People: A Meta‐Analysis1. https://app.cochat.ai/papers/10.1111/j.1559-1816.2000.tb02432.x
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Bowen, C., Swim, J. K., & Jacobs, R. R. (2000). Evaluating Gender Biases on Actual Job Performance of Real People: A Meta‐Analysis1. Journal of Applied Social Psychology. https://doi.org/10.1111/j.1559-1816.2000.tb02432.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.