Never Going to Let You Down: Preventing Predictive Shrinkage via the STRONG-R Assessment Method

Authors

Zachary Hamilton, University of Nebraska at OmahaFollow
Alex Kigerl, University of Nebraska at OmahaFollow
Andrew Peterson
Grant Duwe, Minnesota Department of Corrections
John Ursino, University of Nebraska at OmahaFollow

Document Type

Report

Publication Date

8-2024

Publication Title

NCJRS

Abstract

Widely used sources of crime data, such as the Uniform Crime Reports (UCR) and National Incident-Based Reporting System (NIBRS), provide invaluable information on patterns in reported crime and justice processing. Yet, due to their measurement of crime at the incident level, these data have not been used to determine an individual’s likelihood of justice system involvement. By contrast, in the correctional field, individuals are used as the unit of analysis and common definitions to establish state-level base rates. Used for decades, base rates provide an estimate of justice system involvement, per individual, for a given jurisdiction’s population.

Comments

The authors hold the copyright to this work, reuse permission must be obtained from them directly.

This resource has not been published by the U.S. Department of Justice. This resource is being made publicly available through the Office of Justice Programs’ National Criminal Justice Reference Service.

Recommended Citation

Hamilton, Zachary; Kigerl, Alex; Peterson, Andrew; Duwe, Grant; and Ursino, John, "Never Going to Let You Down: Preventing Predictive Shrinkage via the STRONG-R Assessment Method" (2024). Criminology and Criminal Justice Faculty Publications. 297.
https://digitalcommons.unomaha.edu/criminaljusticefacpub/297