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Examining psychopathy as a predictor of recidivism in a sample of women who have sexually offended
Journal of Criminal Justice ( IF 5.009 ) Pub Date : 2023-08-03 , DOI: 10.1016/j.jcrimjus.2023.102094
Nhi N.H. Le , Holly A. Miller , Ethan A. Marshall

Purpose

As there are no validated risk assessment tools to predict recidivism for females who have sexually offended, the current study examines the utility of PCL-R to predict recidivism for this population.

Methods

Psychopathy scores were collected from a sample of 244 women that received risk assessments before they were released from prison for a sexual offense.

Results

Results indicate that only one woman in the sample sexually recidivated during the follow-up time. However, 40% of the sample recidivated with any type of arrest, including general, violent, and breach offenses. Harrell's C and Cox Regression analyses found significant predictions for the PCL-R total score, factors, and items on overall recidivism and criminal recidivism for the sample, with most of the relationships small to moderate in effect. Additionally, some of the PCL-R items were significant predictors, offering more detailed information about connections to recidivism for this population. However, when control variables were added to multivariate prediction, age and number of total prior arrests negated many significant predictors for the PCL-R.

Conclusions

The construct of psychopathy may be part of a risk assessment scheme when assessing risk of women who have sexually offended, especially in relation to items on the PCL-R.



中文翻译:

在性犯罪女性样本中检查精神病作为累犯的预测因素

目的

由于没有经过验证的风险评估工具来预测性犯罪女性的累犯,当前的研究探讨了 PCL-R 预测该人群累犯的效用。

方法

精神病评分是从 244 名女性样本中收集的,这些女性在因性犯罪出狱前接受了风险评估。

结果

结果表明,样本中只有一名女性在随访期间再次发生性行为。然而,40% 的样本再次犯有任何类型的逮捕,包括一般犯罪、暴力犯罪和违规犯罪。Harrell 的 C 和 Cox 回归分析发现,对于样本的总体累犯和犯罪累犯的 PCL-R 总分、因素和项目有显着的预测,其中大多数关系的影响较小到中等。此外,一些 PCL-R 项目是重要的预测因素,提供了有关该人群与累犯的联系的更详细信息。然而,当将控制变量添加到多变量预测中时,年龄和之前逮捕的总数否定了 PCL-R 的许多重要预测因素。

结论

在评估遭受性侵犯的女性的风险时,尤其是与 PCL-R 上的项目相关的风险评估方案中,精神病的概念可能是其中的一部分。

更新日期:2023-08-05
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