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Detecting Children's True and False Denials of Wrongdoing: Effects of Question Type and Base Rate Knowledge

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Journal Behav Sci Law
Date 2020 Nov 25
PMID 33236788
Citations 2
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Abstract

One common and unfortunately overlooked obstacle to the detection of sexual abuse is non-disclosure by children. Non-disclosure in forensic interviews may be expressed via concealment in response to recall questions or via active denials in response to recognition (e.g., yes/no) questions. In two studies, we evaluated whether adults' ability to discern true and false denials of wrongdoing by children varied as a function of the types of interview question the children were asked. Results suggest that adults are not good at detecting deceptive denials of wrongdoing by children, even when the adults view children narrate their experiences in response to recall questions rather than provide one word answers to recognition questions. In Study 1, adults exhibited a consistent "truth bias," leading them toward believing children, regardless of whether the children's denials were true or false. In Study 2, adults were given base-rate information about the occurrence of true and false denials (50% of each). The information eliminated the adults' truth bias but did not improve their overall detection accuracy, which still hovered near chance. Adults did, however, perceive children's denials as slightly more credible when they emerged in response to recall rather than recognition questions, especially when children were honestly denying wrongdoing. Results suggest the need for caution when evaluating adults' judgments of children's veracity when the children fail to disclose abuse.

Citing Articles

Reliability of the Sexual Knowledge Picture Instrument: a potential diagnostic instrument for sexual abuse in young children.

van Ham K, Bolt S, van Doesterling M, Brilleslijper-Kater S, Teeuw R, van Rijn R BMJ Paediatr Open. 2022; 6(1).

PMID: 36053625 PMC: 9280880. DOI: 10.1136/bmjpo-2022-001437.


Causal Indicators for Assessing the Truthfulness of Child Speech in Forensic Interviews.

Durante Z, Ardulov V, Kumar M, Gongola J, Lyon T, Narayanan S Comput Speech Lang. 2021; 71.

PMID: 34602738 PMC: 8486173. DOI: 10.1016/j.csl.2021.101263.

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