Journal article

Optimizing CBCA and RM research: recommendations for analyzing and reporting data on content cues to deception


Authors listSporer, Siegfried L.; Manzanero, Antonio L.; Masip, Jaume

Publication year2021

Pages1-39

JournalPsychology, Crime and Law

Volume number27

Issue number1

ISSN1068-316X

eISSN1477-2744

DOI Linkhttps://doi.org/10.1080/1068316X.2020.1757097

PublisherTaylor and Francis Group


Abstract
For more than a century, verbal content cues to deception have been investigated to assess the credibility of statements in judicial contexts. Among the many cues investigated, Criteria-based Content Analysis (CBCA) and criteria based on the reality monitoring (RM) approach have been most prominent. However, research with these cues used as 'tools' has not fully exploited their potential. We critically discuss statistical approaches used in past research and recommend a series of 12 principles or guidelines researchers should follow to design, analyze and report future studies on detecting deception with verbal content cues. To illustrate some of these points, we present analyses from two separate studies: A quasi-experiment in a field setting conducted with adults with intellectual disabilities who truthfully or deceptively described a negative autobiographical event to an interviewer, and a large-scale simulation study where adults wrote an account of either an experienced or an invented significant life event. Accounts in both studies were rated with CBCA and RM criteria, as well as by 'naive' raters. The guidelines should help to increase the quality and transparency of research in this area.



Citation Styles

Harvard Citation styleSporer, S., Manzanero, A. and Masip, J. (2021) Optimizing CBCA and RM research: recommendations for analyzing and reporting data on content cues to deception, Psychology, Crime and Law, 27(1), pp. 1-39. https://doi.org/10.1080/1068316X.2020.1757097

APA Citation styleSporer, S., Manzanero, A., & Masip, J. (2021). Optimizing CBCA and RM research: recommendations for analyzing and reporting data on content cues to deception. Psychology, Crime and Law. 27(1), 1-39. https://doi.org/10.1080/1068316X.2020.1757097



Keywords


ACCOUNTSCBCACREDIBILITYCriteria-based Content Analysisdeception cuesdeception detectionEFFECT SIZESREALITYreality monitoringTESTIMONYTrue

Last updated on 2025-02-04 at 00:46