Southern Illinois University Carbondale, USA.
Tennessee State University, Nashville, USA.
Int J Offender Ther Comp Criminol. 2020 Aug;64(10-11):1074-1090. doi: 10.1177/0306624X19870374. Epub 2019 Aug 20.
Consistent risk category placement of criminal justice clients across instruments will improve the communication of risk. Efforts coordinated by the Council of State Governments (CSG) Justice Center led to the development of a principled (i.e., a system based on a given set of procedures) method of developing risk assessment levels. An established risk assessment instrument (Level of Service Inventory-Revised [LSI-R]) was used to assess the risk-level concordance of the CSG Justice Center Five-Level system. Specifically, concordance was assessed by matching the defining characteristics of the data set with its distribution qualities by the level/category similarity between the observed reoffending base rate and the statistical probability of reoffending. Support for the CSG Justice Center Five-Level system was found through a probation data set ( = 24,936) having a greater proportion of offenders in the lower risk levels than a parole/community data set ( = 36,303). The statistical probabilities of reoffending in each CSG Justice Center system risk level had greater concordance to the observed Five-Level base rates than the base rates from the LSI-R original categories. The concordance evidence for the CSG Justice Center Five-Level system demonstrates the ability of this system to place clients in appropriate risk levels.
一致的犯罪司法客户风险类别定位将改善风险沟通。州政府委员会（CSG）司法中心协调的努力导致了开发基于一套既定程序的风险评估水平的原则方法。现有的风险评估工具（服务水平清单修订版 [LSI-R]）用于评估 CSG 司法中心五级系统的风险级别一致性。具体来说，通过将数据集的定义特征与其分布质量进行匹配，通过观察再犯罪基本比率与再犯罪统计概率之间的水平/类别相似性来评估一致性。通过对缓刑数据集（= 24936）的评估发现了对 CSG 司法中心五级系统的支持，该数据集的低风险级别罪犯比例高于假释/社区数据集（= 36303）。每个 CSG 司法中心系统风险级别的再犯罪统计概率与观察到的五级基础比率的一致性大于 LSI-R 原始类别中的基础比率。CSG 司法中心五级系统的一致性证据表明，该系统能够将客户分配到适当的风险级别。
