An Exploration of Risk Factors for Further Police Contact Among Females Known for Online Child Sexual Exploitation Offenses.

IF 1 3区 社会学 Q2 LAW Behavioral Sciences & the Law Pub Date : 2024-12-02 DOI:10.1002/bsl.2703
Erika Fortunato, Reneta Slikboer, Marie Henshaw, Denny Meyer, James R P Ogloff
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Abstract

Despite increases in online child sexual exploitation (OCSE) internationally, no study has examined risk factors for re-offending among females who perpetrate OCSE, resulting in limited knowledge regarding the idiosyncratic needs of this cohort. This study explored factors predictive of further police contact among 116 females known to police for OCSE offenses in Victoria, Australia. Four binary regressions were run for each of Any, Violent, and Non-Violent re-offending, with one regression each focusing on characteristics related to offending history, index offending, co-offending, and victimization. Predicted probabilities from each model were then input as predictors into a final binary regression for each recidivism type. Offending history emerged as the most robust predictor across re-offending types, even when controlling for other domains. Victimization and index offending also predicted Non-Violent re-offending, while co-offending was not predictive across any analysis. These preliminary findings have implications for the unique management needs of females who perpetrate OCSE.

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网络儿童性剥削犯罪女性进一步与警方联系的风险因素探讨。
尽管网络儿童性剥削(OCSE)在国际上有所增加,但没有研究调查过发生网络儿童性剥削(OCSE)的女性再次犯罪的风险因素,导致对这一群体特殊需求的了解有限。这项研究在澳大利亚维多利亚州的116名女性中探索了预测进一步与警察接触的因素。对任意、暴力和非暴力再犯罪分别进行了四个二元回归,每个回归分别关注与犯罪历史、指数犯罪、共同犯罪和受害相关的特征。然后将每个模型的预测概率作为预测因子输入到最终的二元回归中,用于每种累犯类型。即使在控制其他领域的情况下,犯罪历史也成为再犯罪类型中最可靠的预测因素。受害和指数犯罪也能预测非暴力再犯罪,而共同犯罪在任何分析中都不能预测。这些初步发现对女性OCSE患者独特的管理需求具有启示意义。
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来源期刊
CiteScore
2.50
自引率
7.10%
发文量
50
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