Five-County Validation of the Indiana Risk Assessment System – Pretrial Assessment Tool (IRAS-PAT) using a Local Validation Approach

View Dataset
Lowder, Evan M.;Lawson, Spencer G.;Grommon, Eric;Ray, Brad R.

Description

Local jurisdictions are increasingly using pretrial risk assessment instruments to assess risk of pretrial misconduct and inform release decisions. We adopted a local validation approach to examine the predictive validity of Indiana Risk Assessment System – Pretrial Assessment Tool (IRAS-PAT) assessments in 3,739 unique pretrial defendants across five Indiana counties. Jail, court, and pretrial risk assessment records were matched within each jurisdiction to examine pretrial misconduct outcomes (i.e., any arrest, any new arrest, and any failure to appear) during the case processing period. Area Under the Curve (AUC) estimates showed good-to-excellent levels of predictive accuracy for total scores for all outcomes (AUC Range: 0.67-0.72). Multivariable models showed defendants assessed at High (OR Range: 5.42-8.62) and Moderate (OR Range: 2.56-3.08) risk had higher rates of pretrial misconduct relative to those assessed at Low risk. Findings provide strong evidence for the predictive accuracy of IRAS-PAT assessments overall, though some item-level considerations are noted.

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.3

FAIR Score

85%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Taylor & Francis

Assigned Domain

Subfield

Management Science and Operations Research

Field

Decision Sciences

Domain

Social Sciences

Confidence Score

49%

Source

Scholar Data Model

Keywords

Medicine39999 Chemical Sciences not elsewhere classifiedFOS: Chemical sciencesSociologyFOS: Sociology69999 Biological Sciences not elsewhere classifiedFOS: Biological sciencesCancer111714 Mental HealthFOS: Health sciences

Normalization Factors

FT

13.46

CTw

1.00

MTw

1.00