Title |
Implicit Age Cues in Resumes: Subtle Effects on Hiring Discrimination
|
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Published in |
Frontiers in Psychology, August 2017
|
DOI | 10.3389/fpsyg.2017.01321 |
Pubmed ID | |
Authors |
Eva Derous, Jeroen Decoster |
Abstract |
Anonymous resume screening, as assumed, does not dissuade age discriminatory effects. Building on job market signaling theory, this study investigated whether older applicants may benefit from concealing explicitly mentioned age signals on their resumes (date of birth) or whether more implicit/subtle age cues on resumes (older-sounding names/old-fashioned extracurricular activities) may lower older applicants' hirability ratings. An experimental study among 610 HR professionals using a mixed factorial design showed hiring discrimination of older applicants based on implicit age cues in resumes. This effect was more pronounced for older raters. Concealing one's date of birth led to overall lower ratings. Study findings add to the limited knowledge on the effects of implicit age cues on hiring discrimination in resume screening and the usefulness of anonymous resume screening in the context of age. Implications for research and practice are discussed. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 22% |
Australia | 1 | 11% |
Luxembourg | 1 | 11% |
Belgium | 1 | 11% |
Switzerland | 1 | 11% |
Japan | 1 | 11% |
Unknown | 2 | 22% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 7 | 78% |
Practitioners (doctors, other healthcare professionals) | 1 | 11% |
Scientists | 1 | 11% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 103 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 21 | 20% |
Student > Master | 21 | 20% |
Student > Bachelor | 12 | 12% |
Student > Doctoral Student | 6 | 6% |
Researcher | 4 | 4% |
Other | 10 | 10% |
Unknown | 29 | 28% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 36 | 35% |
Business, Management and Accounting | 9 | 9% |
Social Sciences | 8 | 8% |
Economics, Econometrics and Finance | 7 | 7% |
Computer Science | 4 | 4% |
Other | 7 | 7% |
Unknown | 32 | 31% |