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Improving the Accuracy and Fairness of Pretrial Release Decisions: A Multi-Site Study of Risk Assessments Implemented in Four Counties, Indiana, 2015-2018
This study was a multi-site, quasi-experimental investigation of risk assessment-informed pretrial release decisions relative to decisions made without risk assessments. The study objectives were to investigate whether use of pretrial risk assessments: 1) improved risk management decisions relative to practice as usual; 2) improved the fairness of pretrial release decisions for racial minorities relative to practice as usual; and 3) revealed judge-level variation in pretrial release decisions. Secondary, administrative data were gathered from four counties in Indiana. Apart from risk assessment information, all data represent public records: court, jail and prison. Variables gathered from the data sources fall into three main categories: defendant variables, pretrial release decisions, and pretrial misconduct outcomes. Examples of specific variables include: booking and release dates, bond amounts, number and type of charges, and demographic information (age, sex and race).
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Improving the Accuracy and Fairness of Pretrial Release Decisions: A Multi-Site Study of Risk Assessments Implemented in Four Counties, Indiana, 2015-2018
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | restricted public |
| bureauCode |
[ "011:21" ] |
| contactPoint |
{ "fn": "Open Data Office of Justice Programs (USDOJ)", "@type": "vcard:Contact", "hasEmail": "mailto:opendata@usdoj.gov" } |
| dataQuality |
false
|
| description | This study was a multi-site, quasi-experimental investigation of risk assessment-informed pretrial release decisions relative to decisions made without risk assessments. The study objectives were to investigate whether use of pretrial risk assessments: 1) improved risk management decisions relative to practice as usual; 2) improved the fairness of pretrial release decisions for racial minorities relative to practice as usual; and 3) revealed judge-level variation in pretrial release decisions. Secondary, administrative data were gathered from four counties in Indiana. Apart from risk assessment information, all data represent public records: court, jail and prison. Variables gathered from the data sources fall into three main categories: defendant variables, pretrial release decisions, and pretrial misconduct outcomes. Examples of specific variables include: booking and release dates, bond amounts, number and type of charges, and demographic information (age, sex and race). |
| distribution |
[ { "@type": "dcat:Distribution", "title": "Improving the Accuracy and Fairness of Pretrial Release Decisions: A Multi-Site Study of Risk Assessments Implemented in Four Counties, Indiana, 2015-2018", "accessURL": "https://doi.org/10.3886/ICPSR37829.v1" } ] |
| identifier |
"3018"
|
| issued | 2021-02-25T09:38:02 |
| keyword |
[ "pretrial release", "risk assessment" ] |
| language |
[ "eng" ] |
| license | http://www.usa.gov/publicdomain/label/1.0/ |
| modified | 2021-02-25T09:44:44 |
| programCode |
[ "011:060" ] |
| publisher |
{ "name": "National Institute of Justice", "@type": "org:Organization", "subOrganizationOf": { "id": 22, "name": "Office of Justice Programs", "acronym": "OJP", "parentOrganization": { "id": 10, "name": "Department of Justice", "acronym": "DOJ" }, "parentOrganizationID": 10 } } |
| rights | These data are restricted due to the increased risk of violation of confidentiality of respondent and subject data. |
| title | Improving the Accuracy and Fairness of Pretrial Release Decisions: A Multi-Site Study of Risk Assessments Implemented in Four Counties, Indiana, 2015-2018 |
