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Applying Implicit Propositional Measures to Detect Faking in Personality-Related Scales: Reliability, Discriminating

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Two implicit measures effectively detect faking on personality scales. These tools, the Deception Relational Responding Task and Deception Implicit Association Test (Dec-aIAT), show strong reliability and accuracy in identifying response distortion.

Keywords:
deceptionfakingimplicit association testimplicit social cognitionrelational responding task

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Area of Science:

  • Psychological Assessment
  • Personality Psychology
  • Research Methods

Background:

  • Detecting response distortion in personality assessments is crucial for data validity.
  • Implicit measures offer a potential avenue to identify dissimulative responding unobtrusively.

Purpose of the Study:

  • To evaluate the efficacy of two implicit measures, the Deception Relational Responding Task and the Deception Implicit Association Test (Dec-aIAT), in detecting faking on personality scales.
  • To assess the reliability, discriminating power, and classification accuracy of these implicit faking-detection measures across different conditions.

Main Methods:

  • Four experimental studies were conducted with varying sample sizes (n=74 to 133).
  • Participants were randomly assigned to either a faking (faking-good or faking-bad) or a no-faking (honest responding) condition.
  • Implicit measures (Deception Relational Responding Task, Dec-aIAT) were used as faking detectors, with target scales including the Narcissistic Admiration and Rivalry Questionnaire and the Big Five Questionnaire-2.

Main Results:

  • The implicit measures demonstrated adequate-to-excellent reliability across the studies.
  • Both the Deception Relational Responding Task and Dec-aIAT showed significant discriminating power between honest and faking responders.
  • Classification accuracy for detecting faking was consistently high, indicating effective identification of response distortion.

Conclusions:

  • Implicit propositional measures, particularly the Dec-aIAT, are effective tools for detecting faking in personality assessments.
  • These measures offer a valuable, less susceptible method for identifying response biases compared to explicit techniques.
  • The findings support the utility of implicit measures in enhancing the validity of personality data in research and applied settings.