RT Article
T1 Revisiting prediction models in policing: Identifying high-risk offenders
JF American journal of criminal justice
VO 31
IS 1
SP 35
OP 50
A1 Jennings, Wesley G.
LA English
YR 2006
UL https://krimdok.uni-tuebingen.de/Record/1764202643
AB The use of prediction models for classifying offenders has been a common practice by the criminal justice system. Given the recent developments in criminal career research and continuing evidence that a small proportion of chronic offenders are responsible for the majority of crime, there is a continued need to identify high-risk offenders early on in their offending careers. The present study provides support for the accuracy of an innovative prediction instrument that was developed for identifying high-risk offenders in a rural county in a southern state. Offender risk classification was found to be associated with reoffending across different dimensions of assessment and the high-risk offenders had accumulated a greater mean number of arrests upon six-month follow-up when compared to the medium and low-risk offenders. Policy implications and directions for future research incorporating prediction models in policing are also discussed.
K1 Risk Assessment Instrument
K1 Eysenck Personality Questionnaire
K1 Repeat Offender
K1 Criminal Career
K1 Recidivism Rate
DO 10.1007/BF02885683