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Using the Violence Risk Scale-Sexual Offense Version in Sexual Violence Risk Assessments: Updated Risk Categories and Recidivism Estimates From a Multisite Sample of Treated Sexual Offenders

机译:利用暴力风险规模 - 性暴力风险风险评估:更新的风险类别和常规估算来自对待性犯罪者的多种样本

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摘要

The present study sought to develop updated risk categories and recidivism estimates for the Violence Risk Scale-Sexual Offense version (VRS-SO; Wong, Olver, Nicholaichuk, & Gordon, 2003-2017), a sexual offender risk assessment and treatment planning tool. The overarching purpose was to increase the clarity and accuracy of communicating risk assessment information that includes a systematic incorporation of new information (i.e., change) to modify risk estimates. Four treated samples of sexual offenders with VRS-SO pretreatment, posttreatment, and Static-99R ratings were combined with a minimum follow-up period of 10-years postrelease (N = 913). Logistic regression was used to model 5-and 10-year sexual and violent (including sexual) recidivism estimates across 6 different regression models employing specific risk and change score information from the VRS-SO and/or Static-99R. A rationale is presented for clinical applications of select models and the necessity of controlling for baseline risk when utilizing change information across repeated assessments. Information concerning relative risk (percentiles) and absolute risk (recidivism estimates) is integrated with common risk assessment language guidelines to generate new risk categories for the VRS-SO. Guidelines for model selection and forensic clinical application of the risk estimates are discussed.
机译:本研究寻求为暴力风险规模 - 性犯规版本(VRS-SO; WONG,Olver,Nicholaichuk,&Gordon,2003-2017),性犯罪风险评估和治疗工具,制定更新的风险范围和常规估算。首要目的是提高沟通风险评估信息的清晰度和准确性,包括系统纳入新信息(即,变更)来修改风险估计。与VRS-SO预处理,后处理和静态-99R评级进行了四次处理的性犯罪样品与10年脓泌脲(n = 913)的最低随访期结合。 Logistic回归用于模拟5-和10年的性和暴力(包括性)常规估计,这些模型介于6种不同的回归模型,采用特定风险和从VRS-SO和/或STATIC-99R改变得分信息。选择模型的临床应用以及在利用重复评估中使用更改信息时控制基线风险的必要性的理由。关于相对风险(百分比)和绝对风险(累官估计)的信息与共同风险评估语言指南集成在一起,为VRS制定新的风险类别。讨论了模型选择和法医临床应用的指南。

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