What Predicts Failure to Appear for Court Hearings?

Author:

Spohn Cassia1ORCID

Affiliation:

1. Arizona State University, Phoenix, USA

Abstract

Despite its importance, the pretrial process has not been subjected to the type of scrutiny directed at judges’ sentencing decisions. The goal of this project, which uses data on defendants released pretrial in four Arizona counties, was to identify the factors that predict failure to appear (FTA) for court hearings and to determine whether these predictors vary across defendants. We found that the likelihood of FTA was affected by a combination of defendant characteristics, case characteristics, and the jurisdiction where the case was adjudicated; the FTA prediction score, which is obtained from the risk assessment instrument used in all Arizona counties, also had a significant effect on the likelihood of FTA. Discussion focuses on inter-jurisdictional differences in FTA rates, the fact that the type of pretrial release did not predict FTA, and the fact that the defendant’s race/ethnicity affected the FTA prediction score and most of the Public Safety Assessment factors.

Funder

Arnold Ventures

Publisher

SAGE Publications

Subject

Law

Reference40 articles.

1. Rational Choice, Deterrence, and Social Learning Theory in Criminology: The Path Not Taken*

2. Arizona Superior Court. (n.d.). 2017 data report. https://www.azcourts.gov/statistics/Annual-Data-and-Activity-Reports/2017-Data-Report

3. A Meta-Analytic Review of Pretrial Research: Risk Assessment, Bond Type, and Interventions

4. Bechtel K., Lowenkamp C. T., Holsinger A. M. (2011). Identifying the predictors of pretrial failure: A meta-analysis. Federal Probation, 75, 78–87. https://bjs.ojp.gov/content/pub/pdf/pdmfdc9510.pdf

5. Reducing courts' failure-to-appear rate by written reminders.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3