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Interactions between motivation to fake and personality item characteristics: Clarifying the process

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  • Hauenstein, Neil M.A.
  • Bradley, Kevin M.
  • O’Shea, Patrick Gavan
  • Shah, Yashna J.
  • Magill, Douglas P.

Abstract

Using a think aloud protocol, the interaction between motivation to fake and personality item characteristics (social desirability and face validity) on both response processes and self-ratings were studied under three instructional sets. The first study compared respond honestly to a fake-good instructional set, and results indicated that motivation to fake and item characteristics have interactive effects on both response processes and self-ratings. The second study replicated the first study using an applicant instructional set and results indicated that applicant response processes and self-ratings were more similar to the respond honestly instructional set than fake-good instructional set from study 1. However, there were meaningful differences between the applicant and respond honestly instructional sets. Results were discussed in relation to process models of faking, importance of considering item characteristics in all faking research, and practical implications related to the predictive accuracy of personality scales and detection of faking.

Suggested Citation

  • Hauenstein, Neil M.A. & Bradley, Kevin M. & O’Shea, Patrick Gavan & Shah, Yashna J. & Magill, Douglas P., 2017. "Interactions between motivation to fake and personality item characteristics: Clarifying the process," Organizational Behavior and Human Decision Processes, Elsevier, vol. 138(C), pages 74-92.
    • Handle: RePEc:eee:jobhdp:v:138:y:2017:i:c:p:74-92
    DOI: 10.1016/j.obhdp.2016.11.002
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    1. ,, 1998. "Problems And Solutions," Econometric Theory, Cambridge University Press, vol. 14(5), pages 687-698, October.
    2. Shoss, Mindy K. & Strube, Michael J, 2011. "How do you fake a personality test? An investigation of cognitive models of impression-managed responding," Organizational Behavior and Human Decision Processes, Elsevier, vol. 116(1), pages 163-171, September.
    3. ,, 1998. "Problems And Solutions," Econometric Theory, Cambridge University Press, vol. 14(3), pages 381-386, June.
    4. ,, 1998. "Problems And Solutions," Econometric Theory, Cambridge University Press, vol. 14(4), pages 525-537, August.
    5. ,, 1998. "Problems And Solutions," Econometric Theory, Cambridge University Press, vol. 14(2), pages 285-292, April.
    6. ,, 1998. "Problems And Solutions," Econometric Theory, Cambridge University Press, vol. 14(1), pages 151-159, February.
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