Title: Response patterns for the identification of fakers: Detecting drifting dissimulators
Abstract: In this research, we provide a simple, novel operationalization of a method for identifying fakers on a self-report measure of personality. This operationalization is applied to six distinct samples of experimentally instructed fakers (total N = 1360) who completed the NEO-FFI under varying instructions, modes of test administration and answering, and response time constraints. Based on quantifying individual item response patterns that indicate changes in response positivity over items, the new index of faking demonstrated medium to large effect sizes for identifying faking. Further, this index generally demonstrated added value relative to a standard validity scale for accounting for variability in faking.
Publication Year: 2017
Publication Date: 2017-04-01
Language: en
Type: article
Indexed In: ['crossref']
Access and Citation
Cited By Count: 6
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