ERIC Number: EJ1290586
Record Type: Journal
Publication Date: 2021
Pages: 18
Abstractor: As Provided
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ISSN: ISSN-0888-4080
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Available Date: N/A
Validity of Content-Based Techniques for Credibility Assessment--How Telling Is an Extended Meta-Analysis Taking Research Bias into Account?
Applied Cognitive Psychology, v35 n2 p393-410 Mar-Apr 2021
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 meta-analytic 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 studies we aimed for more precise effect size estimates. According to the sole bias-correcting meta-analytic method that performed well under a priori specified boundary conditions, CBCA and RM distinguished between experience-based and fabricated statements. However, great heterogeneity limited precise point estimation (i.e., moderate to large effects). In contrast, Scientific Content Analysis (SCAN)--another content-based technique tested--failed to discriminate between truth and lies. It is discussed how the gap between research on and forensic application of content-based credibility assessment may be narrowed.
Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www-wiley-com.bibliotheek.ehb.be/en-us
Publication Type: Journal Articles; Reports - Research; Information Analyses
Education Level: N/A
Audience: N/A
Language: English
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