Birk Diedenhofen, Adrian Hoffmann, F. Aust, Sascha Müller
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引用次数: 0
Abstract
Abstract: In the context of personnel selection, self-reports are often biased by social desirability. For example, applicants may overstate their knowledge to make a good impression on a potential employer. Overclaiming questionnaires (OCQs) offer a means to assess whether applicants claim to have knowledge that they do not have. Previous studies evaluating whether OCQs are capable of detecting faking in personnel selection contexts reported mixed results but did not take the fit between the content of OCQ items and the selection context into account. In the present study, we therefore tailored an OCQ to the specific application context and compared its performance to that of Residualized Individual Change Scores (RICS), a competing measure of faking based on an achievement motivation questionnaire. A total of 123 participants first answered the OCQ and the motivational questionnaire in a control condition without application context. The two measures were then completed again as part of a mock application process, and participants were asked to honestly report their faking behavior afterward. Participants exhibited more overclaiming in the application context than in the control condition. The OCQ and RICS scores predicted participants’ self-reported faking with comparable accuracy. These results suggest that OCQs can compete with other measures of faking if their content is appropriately tailored to the application context.
期刊介绍:
Researchers, teachers, and students interested in all areas of individual differences (e.g., gender, temperament, personality, intelligence) and their assessment in human and animal research will find the Journal of Individual Differences useful. The Journal of Individual Differences publishes manuscripts dealing with individual differences in behavior, emotion, cognition, and their developmental aspects. This includes human as well as animal research. The Journal of Individual Differences is conceptualized to bring together researchers working in different areas ranging from, for example, molecular genetics to theories of complex behavior.