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Predicting deception detection ability based on the concept of self-compassionate personality trait, openness personality structure, and agreeableness personality structure

<p> Abstract Although the poor performance of most professionals who are trained and experienced in deception detection is inexplicable, research has been able to single out some professionals who have developed an exceptional understanding of the kind of knowledge it takes to deceive others. Individual differences in ability to detect deceit have rarely been approached in research designs where ability was broken down into personality traits. This was a non-experimental correlational study, which sought to examine the degree to which elements or facets of personality dimensions self-compassion, agreeableness, and openness could predict the ability to detect deception. A sample of convenience comprised of student participants (N=201) was drawn from a local community college. It used a regression model to examine the maximum likelihood that deception detection ability can be predicted. This was accomplished though specific measurements derived from three paper-and-pencil questionnaires, the deception detection ability scores obtained from the BBC survey, &ldquo;Spot the Fake Smile,&rdquo; the self-compassion values obtained from the Neff self-compassion scale (2003), and the agreeableness and openness values obtained from the NEO-PI-R personality inventory (Costa &amp; McCrae, 2010). The self-compassion subscales and the agreeableness and openness subscales were combined totaling 18 predictor variables where 17 of the 18 predictor variables retained the null hypothesis. Although hypothesis testing provided a meager beginning for bridging the gap between personality domains and deception detection ability, practical significance precludes the transferability of the results without further investigation.</p>

Identiferoai:union.ndltd.org:PROQUEST/oai:pqdtoai.proquest.com:10002509
Date03 February 2016
CreatorsPurdioux, Lee
PublisherCapella University
Source SetsProQuest.com
LanguageEnglish
Detected LanguageEnglish
Typethesis

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