A Bayesian Decision-Support Tool for Child Sexual Abuse Assessment and Investigation

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dc.contributor University of Helsinki, Department of Mathematics and Statistics en
dc.contributor University of Helsinki, University of Oslo en
dc.contributor.author Tadei, Alessandro
dc.contributor.author Pensar, Johan
dc.contributor.author Corander, Jukka
dc.contributor.author Finnilä, Katarina
dc.contributor.author Santtila, Pekka
dc.contributor.author Antfolk, Jan
dc.date.accessioned 2018-09-03T13:24:01Z
dc.date.available 2018-09-03T13:24:01Z
dc.date.issued 2019-06
dc.identifier.citation Tadei , A , Pensar , J , Corander , J , Finnilä , K , Santtila , P & Antfolk , J 2019 , ' A Bayesian Decision-Support Tool for Child Sexual Abuse Assessment and Investigation ' , Sexual Abuse , vol. 31 , no. 4 , pp. 374-396 . https://doi.org/10.1177/1079063217732791 en
dc.identifier.issn 1079-0632
dc.identifier.other PURE: 107152758
dc.identifier.other PURE UUID: bad61588-8f2b-4d58-b64e-121b7c35be47
dc.identifier.other WOS: 000469404600002
dc.identifier.uri http://hdl.handle.net/10138/240786
dc.description.abstract In assessments of child sexual abuse (CSA) allegations, informative background information is often overlooked or not used properly. We therefore created and tested an instrument that uses accessible background information to calculate the probability of a child being a CSA victim that can be used as a starting point in the following investigation. Studying 903 demographic and socioeconomic variables from over 11,000 Finnish children, we identified 42 features related to CSA. Using Bayesian logic to calculate the probability of abuse, our instrument-the Finnish Investigative Instrument of Child Sexual Abuse (FICSA)-has two separate profiles for boys and girls. A cross-validation procedure suggested excellent diagnostic utility (area under the curve [AUC] = 0.97 for boys and AUC = 0.88 for girls). We conclude that the presented method can be useful in forensic assessments of CSA allegations by adding a reliable statistical approach to considering background information, and to support clinical decision making and guide investigative efforts. en
dc.format.extent 23
dc.language.iso eng
dc.relation.ispartof Sexual Abuse
dc.rights en
dc.subject 112 Statistics and probability en
dc.subject 515 Psychology en
dc.title A Bayesian Decision-Support Tool for Child Sexual Abuse Assessment and Investigation en
dc.type Article
dc.description.version Peer reviewed
dc.identifier.doi https://doi.org/10.1177/1079063217732791
dc.type.uri info:eu-repo/semantics/other
dc.type.uri info:eu-repo/semantics/acceptedVersion
dc.contributor.pbl

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