2021
DOI: 10.1002/acp.3776
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Validity of content‐based techniques for credibility assessment—How telling is an extended meta‐analysis taking research bias into account?

Abstract: Content-based techniques for credibility assessment (Criteria-Based Content Analysis [CBCA], Reality Monitoring [RM]) have been shown to distinguish between experience-based and fabricated statements in previous meta-analyses. New simulations raised the question whether these results are reliable revealing that using metaanalytic methods on biased datasets lead to false-positive rates of up to 100%. By assessing the performance of and applying different bias-correcting meta-analytic methods on a set of 71 stud… Show more

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Cited by 20 publications
(17 citation statements)
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“…Four papers in the special issue explore various aspects of interviewing to detect deception, including a meta-analysis of the Verifiability Approach (Verschuere et al, 2021), an assessment of how cognitive approaches to interviewing can facilitate judgments of deception (Mac Giolla & Luke, 2021), an extended analysis of contentbased techniques for credibility assessment (Oberlader et al, 2021), and a meta-analysis of experimental and field studies evaluating the comparison question polygraph test (Honts et al, 2021). First,…”
Section: Synthesizing the Investigative Interview Research Literaturementioning
confidence: 99%
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“…Four papers in the special issue explore various aspects of interviewing to detect deception, including a meta-analysis of the Verifiability Approach (Verschuere et al, 2021), an assessment of how cognitive approaches to interviewing can facilitate judgments of deception (Mac Giolla & Luke, 2021), an extended analysis of contentbased techniques for credibility assessment (Oberlader et al, 2021), and a meta-analysis of experimental and field studies evaluating the comparison question polygraph test (Honts et al, 2021). First,…”
Section: Synthesizing the Investigative Interview Research Literaturementioning
confidence: 99%
“…In some instances, replication of findings was encouraged to extend beyond well-defined research groups (Luke, 2021;Verschuere et al, 2021). Scholars also called for improved method variance that might expand upon the prevailing paradigms and allow for greater generalizability (Luke, 2021;Oleszkiewicz & Watson, 2021), as well as the standardization of coding or measurement procedures and the development of meaningful (practical) measures that more readily translate to investigative practice (Luke, 2021;Oberlader et al, 2021).…”
Section: Lessons Learnedmentioning
confidence: 99%
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