Toward a New Method of Detecting Deliberately Faked Personality Tests: The Use of Idiosyncratic Item Responses

12 Pages Posted: 12 Jun 2007  

Nathan R. Kuncel

University of Minnesota - Twin Cities

Matthew J. Borneman

University of Minnesota - Department of Psychology

Abstract

This study presents a new method for developing faking detection scales based on idiosyncratic item-response patterns. Two scoring schemes based on this approach strongly differentiated between scores obtained under honest vs directed faking conditions in cross-validation samples (r=(pb).45 and .67). This approach is shown to successfully classify between 20% and 37% of faked personality measures with only a 1% false positive rate in a sample comprised of 56% honest responses. Of equal importance, this method does not result in a scale that meaningfully correlates with personality or cognitive ability tests. This study raises many questions about both the source and generalizabiltiy of the effect. Key directions for future research and improved scale development that may limit or enhance the utility of the idiosyncratic item-response method are discussed.

Suggested Citation

Kuncel, Nathan R. and Borneman, Matthew J., Toward a New Method of Detecting Deliberately Faked Personality Tests: The Use of Idiosyncratic Item Responses. International Journal of Selection and Assessment, Vol. 15, No. 2, pp. 220-231, June 2007. Available at SSRN: https://ssrn.com/abstract=992019 or http://dx.doi.org/10.1111/j.1468-2389.2007.00383.x

Nathan R. Kuncel (Contact Author)

University of Minnesota - Twin Cities ( email )

420 Delaware St. SE
Minneapolis, MN 55455
United States

Matthew John Borneman

University of Minnesota - Department of Psychology ( email )

75 E. River Road
Minneapolis, MN 55455
United States
(612) 625-2838 (Phone)

HOME PAGE: http://www.umn.edu/lookup?SET_INSTITUTION=UMNTC&type=name&CN=Matthew+J.+Borneman&campus=a&role=any

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