Thou Shalt not Lie! Exploring and testing countermeasures against faking intentions and faking in selection interviews

Не лги! Исследование и тестирование контрмер против намерений симулировать и симуляции в отборочных собеседованиях
Klaus G. Melchers, Benedikt Bill
2022-09-08

countermeasuresfaking in interviewsfaking intentionslie detection algorithmstechnology-mediated interviews
Abstract Many applicants use faking in interviews to present themselves more favorably than they really are. There is widespread concern that this may affect interview validity. As previous research on countermeasures is sparse, we conducted an exploratory study to identify the most promising countermeasures. For technology‐mediated interviews, these were warnings referring to a criterion‐based content analysis and lie detection algorithms focusing on nonverbal or paraverbal cues. For face‐to‐face interviews, these were objective questions and a personable interviewer. We then investigated the effects of these countermeasures on faking intentions in two experimental vignette studies and on faking in another simulated interview study. However, none of the countermeasures could reduce faking intentions or faking. Additionally, in the vignette studies, warnings impaired applicant reactions.
1
Applicants commonly use faking in interviews to present themselves more favorably, raising validity concerns.
2
Exploratory study identified promising countermeasures: for technology-mediated interviews, criterion-based-content-analysis warnings and lie-detection algorithms using nonverbal/paraverbal cues.
3
For face-to-face interviews, identified countermeasures were objective questions and a personable interviewer.
4
In the vignette studies, warnings worsened applicant reactions.
5
None of the tested countermeasures reduced either faking intentions or actual faking in the studies.
6
Two vignette experiments and one simulated interview study tested these countermeasures' effects on faking intentions and faking behavior.

Selection interviews (technology-mediated and face-to-face) used in personnel selection

Effects of various countermeasures (warnings with criterion-based content analysis, lie-detection algorithms on nonverbal/paraverbal cues, objective questions, personable interviewer) on applicants' faking intentions, actual faking behavior, and applicant reactions

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2022-09-08
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Klaus G. Melchers
Benedikt Bill
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