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Detecting Deception using Reality Monitoring: A Multi-method Exploration

Authors: Kashif, Aisha; Zubaa Akhtar;

Detecting Deception using Reality Monitoring: A Multi-method Exploration

Abstract

The present research was conducted using multi-method techniques. The first phase was a qualitative exploration of the need for an assessment tool for screening deception in confession statements. The second phase used objective quantitative technique to investigate the efficacy and validity of Reality Monitoring technique; within indigenous settings, with reference to different professions. The sample of the study consisted of 30 professionals from 5 professions, namely lawyers, police officers, psychologists, journalists, Urdu language and English language experts. The results followed that police officers had the highest ability to detect deception in confession statements and that RM technique is viable for indigenous setting, after a few practical considerations.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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1
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