Discrimination due to Ethnicity and Gender: How susceptible are video‐based job interviews?
Esther Kroll and
Matthias Ziegler
EconStor Open Access Articles and Book Chapters, 2016, vol. 24, issue 2, 161-171
Abstract:
Fairness toward job applicants differing in gender and ethnicity in a video‐based assessment interview was explored. For this purpose, 103 female and 105 male participants, including 38 who declared to have a migration background of their own, rated a behavior anchored rating scale after having watched the videotaped answers of a potential applicant. The domains assessed were communication skills and the capacity to work in a team. The videos of the applicants were generated with the help of standardized scripts and semi‐professional actors. Eight videos were made operationalizing a two (Turkish migration background–native German) by two (male–female) by two (more positive applicant answers–moderately good applicant answers) experimental design. A multivariate analysis of variance (MANOVA) revealed a small to moderate main effect only for migration background of the applicants. Subsequent ANOVAs found that in three of the four dependent variables this effect reached significance of p
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.econstor.eu/bitstream/10419/194858/1/K ... iscrimination-v2.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:zbw:espost:194858
Access Statistics for this article
More articles in EconStor Open Access Articles and Book Chapters from ZBW - Leibniz Information Centre for Economics Contact information at EDIRC.
Bibliographic data for series maintained by ZBW - Leibniz Information Centre for Economics ().