RT Article
T1 Examining Whether Practical Measures of Neighborhood Characteristics Improve Correctional Risk Assessment Tools
JF Criminal justice and behavior
VO 49
IS 9
SP 1359
OP 1375
A1 Papp, Jordan
A2 Linning, Shannon J.
LA English
YR 2022
UL https://krimdok.uni-tuebingen.de/Record/1813370826
AB This study examined whether inclusion of a neighborhood domain improved prediction and classification in an existing risk assessment tool. Logistic regression and analysis of covariance (ANCOVA) with random effects were conducted using a sample of individuals under community supervision (N = 10,548) to determine whether a neighborhood domain improved the predictive validity of the Ohio Risk Assessment System-Community Supervision Tool (ORAS-CST). In five of our six models, inclusion of the neighborhood domain did not significantly improve the predictive validity of the ORAS-CST regardless of whether it was considered as an additive variable or moderator. One model found that the addition of a neighborhood domain improved prediction; however, the relationship was opposite from what was theoretically expected. The findings suggest that individual-level factors remain the most meaningful predictors in correctional risk assessment tools for those under community supervision. Future research is needed on whether neighborhood indicators improve assessment tools for individuals under other forms of supervision.
K1 Corrections
K1 criminal justice decision-making
K1 Measurement
K1 Neighborhood effects
K1 Risk assessment
DO 10.1177/00938548221104404