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).
Resources
1 resource available
-
Improving the Accuracy and Fairness of Pretrial Release Decisions: A Multi-Site Study of Risk Assessments Implemented in Four Counties, Indiana, 2015-2018
FILE
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 |
