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来源类型 | Report |
规范类型 | 报告 |
DOI | https://doi.org/10.7249/PEA1360-1 |
来源ID | PE-A1360-1 |
How Different Sampling Methods Paint Vastly Different Pictures of Recidivism, and Why It Matters for Policy | |
Nidhi Kalra; Brian G. Vegetabile; Shawn D. Bushway; Greg Baumann | |
发表日期 | 2022-01-06 |
出版年 | 2022 |
页码 | 16 |
语种 | 英语 |
摘要 | In the national conversation around criminal justice reform in the United States, there are competing views about people with criminal histories. On the one hand, there is a long-standing view that people with criminal histories recidivate often and quickly. In the past several years, however, there has been a growing movement arguing that people should not be defined by their criminal histories and that people with criminal histories are not criminals in the persistent sense of the word. ,It is important that these debates about public safety and the effects of interventions be grounded in facts. That requirement demands accurate measurement of how people with criminal histories behave, particularly how often they return to criminal activity. In this paper, the authors argue that the recidivism statistics cited most often in debates about the collateral consequences of criminal conviction are not appropriate to answer the questions inherent in those debates. In particular, the behaviors of criminal justice cohorts are too often mistakenly used to describe, or are entangled with descriptions of, behaviors of the overall population of people who have ever had a conviction, served time in prison, or experienced some other event in the criminal justice system. This confusion has consequences. This paper demonstrates that the most-cited recidivism statistics often are based on criminal justice cohort samples that disproportionately contain frequent participants in the criminal justice system and, as a result, have higher recidivism rates compared with the broader population of concern. |
主题 | Criminal Justice ; Data Analysis ; Recidivism |
URL | https://www.rand.org/pubs/perspectives/PEA1360-1.html |
来源智库 | RAND Corporation (United States) |
引用统计 | |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/525034 |
推荐引用方式 GB/T 7714 | Nidhi Kalra,Brian G. Vegetabile,Shawn D. Bushway,et al. How Different Sampling Methods Paint Vastly Different Pictures of Recidivism, and Why It Matters for Policy. 2022. |
条目包含的文件 | ||||||
文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
RAND_PEA1360-1.pdf(155KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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