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LYING PERSON‐TO‐PERSON ABOUT LIFE EVENTS: A COGNITIVE FRAMEWORK FOR LIE DETECTION
Author(s) -
WALCZYK JEFFREY J.,
SCHWARTZ JONATHAN P.,
CLIFTON RAYNA,
ADAMS BARETT,
WEI MIN,
ZHA PEIJIA
Publication year - 2005
Publication title -
personnel psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.076
H-Index - 142
eISSN - 1744-6570
pISSN - 0031-5826
DOI - 10.1111/j.1744-6570.2005.00484.x
Subject(s) - lying , deception , lie detection , psychology , social psychology , cognition , cognitive psychology , value (mathematics) , statistics , medicine , neuroscience , radiology , mathematics
Undetected lies of prospective or current employees cost business billions of dollars annually. The ability to detect these lies would be of immense benefit. Several recent reports have called for research on new, theoretically based methods of lie detection. In response, we tested the Activation‐Decision‐Construction Model of lying (Walczyk, Roper, Seeman, & Humphreys, 2003) according to which response time is a cue to deception. Participants were tested person‐to‐person. In Experiment 1, half lied to questions probing recent episodic memories. The other half answered honestly. Liar‐truth teller response time differences were observed between subjects. Discriminant analyses demonstrated the value of response time for uncovering deceit. Those highest in social skills were the quickest liars. In Experiment 2, lying was shown to take longer than truth telling within subjects, and within‐subject response time standard deviations were shown to be converging cues to deception. Based on these data and the ADCM, a Time‐Restricted Integrity Confirmation (Tri‐Con) framework for lie detection is proposed that might one day provide cost effective lie detection for business.