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dc.contributor.authorBerg, Mats Kjelvik
dc.date.accessioned2017-06-01T11:27:59Z
dc.date.available2017-06-01T11:27:59Z
dc.date.issued2016
dc.identifier.urihttp://hdl.handle.net/11250/2444105
dc.descriptionMasteroppgave(MSc) in Master of Science in Leadership and Organizational Psychology - Handelshøyskolen BI, 2016nb_NO
dc.description.abstractPersonality measurements are popular in selection processes; meaning applicant faking has arisen as a potential problem. There are two classifications for personality measurements: ipsative and normative. The latter creates concerns with applicant faking and the ease by which applicants could manipulate their scores. Recent research suggests ipsative measurements as a remedy to faking behavior and that ipsative measurements generate normative trait information. In the current research, good construct validity, and consistent scores across experimental manipulations support these findings on ipsative measurements. In addition, ipsative measurements show a higher potential to cope with applicant faking than normative measurements, as they were less inflated in a real selection process. However, it is difficult to clearly suggest ipsative measurements as the most prominent method when hiring employees, as the normative measurement were not largely inflated, even though it showed more weakness than the ipsative measurement. Interestingly, warnings given to applicants before conducting personality measurements showed signs of adjusting for faking behavior by lowering mean scores of the normative measurements more than for ipsative measurements. Results suggest that the ipsative format could be a method to address the problem, but warnings also show promising results.nb_NO
dc.language.isoengnb_NO
dc.publisherBI Norwegian Business Schoolnb_NO
dc.subjectledelsenb_NO
dc.subjectorganisasjonspsykologinb_NO
dc.subjectleadershipnb_NO
dc.subjectorganizationalnb_NO
dc.subjectpsychologynb_NO
dc.titleApplicant Faking in Personality Measurements ; The faking-resistance of ipsative and normative measurements in a selection processnb_NO
dc.typeMaster thesisnb_NO


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