2026-09-15T14:37:32Zhttps://gredos.usal.es/oai/request

oai:gredos.usal.es:10366/1597502025-04-30T20:45:57Zcom_10366_156485com_10366_4512com_10366_3823col_10366_156486

Hauch, Valerie Sporer, Siegfried Ludwig Masip Pallejá, Jaume Blandón‐Gitlin, Iris 2024-09-23T07:19:52Z 2024-09-23T07:19:52Z 2017 1040-3590 http://hdl.handle.net/10366/159750 10.1037/pas0000426 1939-134X [EN]This meta-analysis synthesizes research on interrater reliability of Criteria-Based Content Analysis (CBCA). CBCA is an important component of Statement Validity Assessment (SVA), a forensic procedure used in many countries to evaluate whether statements (e.g., of sexual abuse) are based on experienced or fabricated events. CBCA contains 19 verbal content criteria, which are frequently adapted for research on detecting deception. A total of k 82 hypothesis tests revealed acceptable interrater reliabilities for most CBCA criteria, as measured with various indices (except Cohen’s kappa). However, results were largely heterogeneous, necessitating moderator analyses. Blocking analyses and metaregression analyses on Pearson’s r resulted in significant moderators for research paradigm, intensity of rater training, type of rating scale used, and the frequency of occurrence (base rates) for some CBCA criteria. The use of CBCA summary scores is discouraged. Implications for research vs. field settings, for future research and for forensic practice in the United States and Europe are discussed. eng http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess Attribution-NonCommercial-NoDerivatives 4.0 Internacional Meta-analysis Criteria-based content analysis Interrater reliability Credibility assessment Detection of deception Can credibility criteria be assessed reliably? A meta-analysis of criteria-based content analysis. info:eu-repo/semantics/article