Literature DB >> 30236614

Self-initiated versus instructed cheating in the physiological Concealed Information Test.

Linda Marjoleine Geven1, Nathalie Klein Selle2, Gershon Ben-Shakhar2, Merel Kindt3, Bruno Verschuere3.   

Abstract

The validity of the Concealed Information Test (CIT) to detect recognition of critical details has been demonstrated in hundreds of laboratory studies. These studies, however, lack the factor of deliberate intent to deceive. This disparity between research and practice may affect the generalizability of laboratory based CIT findings. In the current study, 65 out of 174 participants cheated on their own initiative in a trivia quiz. These self-initiated cheaters were compared to 68 participants who were explicitly requested to cheat. Skin conductance, heart rate, and respiration were found to detect concealed information related to cheating. No significant differences emerged between self-initiated and instructed cheaters, supported by Bayesian statistics showing substantial evidence for the null hypothesis. The data demonstrate that the validity of the CIT is not restricted to instructed deception. This finding is encouraging from an ecological validity perspective and may pave the way for further field implementation of memory detection.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cheating; Concealed Information Test (CIT); Deception; Dishonesty; External validity; Memory detection

Mesh:

Year:  2018        PMID: 30236614     DOI: 10.1016/j.biopsycho.2018.09.005

Source DB:  PubMed          Journal:  Biol Psychol        ISSN: 0301-0511            Impact factor:   3.251


  2 in total

1.  Countering information leakage in the Concealed Information Test: The effects of item detailedness.

Authors:  Linda Marjoleine Geven; Bruno Verschuere; Merel Kindt; Shani Vaknine; Gershon Ben-Shakhar
Journal:  Psychophysiology       Date:  2021-10-21       Impact factor: 4.348

2.  Dispersion matters: Diagnostics and control data computer simulation in Concealed Information Test studies.

Authors:  Gáspár Lukács; Eva Specker
Journal:  PLoS One       Date:  2020-10-02       Impact factor: 3.240

  2 in total

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