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Relative importance of applicant sex, attractiveness, and scholastic standing in evaluation of job applicant resumes.
Abstract
College students (« = 30) and professional interviewers (n ~ 30) rated and ranked bogus resumes on suitability for a managerial position. Applicant sex, physical attractiveness, and scholastic standing were systematically varied in the resumes. A 2 X 2 X 2 X 3 repeated measures analysis of variance on the ratings yielded four significant main effects (p < .OS), while the same analysis on the rankings yielded three significant main effects (p<.Q\). Students rated applicants more favorably than professionals. Both groups preferred males to females, attractive applicants to unattractive applicants, and applicants of high scholastic standing. The latter variable accounted for the greatest proportion of variance. However, internal analyses of the rankings revealed sex and physical attractiveness were more important than indicated by the analysis of variance.
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Cites
Dion, K., Berscheid, E., & Walster, E. (1972) · Journal of Personality and Social Psychology · doi:10.1037/h0033731 · Cited by 3,865
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DeNisi, A. S., Cafferty, T. P., & Meglino, B. M. (1984) · Organizational Behavior and Human Performance · doi:10.1016/0030-5073(84)90029-1 · Cited by 444
Gender and attractiveness biases in hiring decisions: Are more experienced managers less biased?
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Meta-analyzing the relationship between grades and job performance.
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Metadata
- Authors
- Dipboye, R. L., Fromkin, H. L., & Wiback, K.
- Venue
- Journal of Applied Psychology
- Published
- 1975-02
- Volume
- 60
- Issue
- 1
- Pages
- 39-43
- ISSN
- 0021-9010 (ISSN-L)
- 1939-1854
- OpenAlex
- W2003247590
- Cited by
- 483
- References
- 1
- FWCI
- 70.42
- Type
- journal article
- Language
- en
- Open access
- closed
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- Dipboye, R. L., Fromkin, H. L., & Wiback, K. (1975). Relative importance of applicant sex, attractiveness, and scholastic standing in evaluation of job applicant resumes. Journal of Applied Psychology. https://doi.org/10.1037/h0076352
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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.