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Cited by 401

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Sex and physical attractiveness of raters and applicants as determinants of resumé evaluations.

Dipboye, Robert L., Arvey, Richard D., Terpstra, David E.·1977·Journal of Applied Psychology

Abstract

Male and female student interviewers, classified as either high, moderate, or low on physical attractiveness, evaluated 12 bogus job applicants for whom sex, physical attractiveness, and qualifications had been varied. A 2 X 3 X 2 X 3 X 2 analysis of variance was computed, with the first two variables (interviewer sex and attractiveness) constituting between-group factors, and the last three variables (applicant sex, attractiveness, and qualifications) constituting repeated measures factors. Regardless of interviewer sex and attractiveness, highly qualified applicants were preferred over poorly qualified applicants, male applicants were preferred over female applicants, and attractive candidates were preferred over unattractive candidates. Discrimination in employment decisions was attributed to sex-role and physical attractiveness stereotypes.

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Metadata

Authors
Dipboye, R. L., Arvey, R. D., & Terpstra, D. E.
Venue
Journal of Applied Psychology
Published
1977-06
Volume
62
Issue
3
Pages
288-294
ISSN
  • 0021-9010 (ISSN-L)
  • 1939-1854
OpenAlex
W2052164826
Cited by
401
References
1
FWCI
41.15
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Sex and physical attractiveness of raters and applicants as determinants of resumé evaluations. https://app.cochat.ai/papers/10.1037/0021-9010.62.3.288
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Dipboye, R. L., Arvey, R. D., & Terpstra, D. E. (1977). Sex and physical attractiveness of raters and applicants as determinants of resumé evaluations. Journal of Applied Psychology. https://doi.org/10.1037/0021-9010.62.3.288

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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.