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Predicting Recidivism Through Machine Learning
The current study attempts to explore more precise solutions for the prediction problem in the U.S. criminal justice system. Using data obtained from the Bureau of Justice Statistics (BJS), Recidivism of Prisoners Released ...
Perceptions of Success in Serious Juvenile Offenders: A Group-Based Trajectory Approach
Despite having implications for several theoretical frameworks in criminology, most notably Robert Agnew’s General Strain Theory (1992), few researchers have assessed the impact of how serious offenders’ perceptions of ...
Identifying Dangerous Places to Homeless People: An Application of Risk Terrain Modeling
Spatial analysis in criminology is an emerging area due to the rapid development of technology. The spatial analysis can forecast future crime locations by considering prior crime and risk factors that potentially lead ...
The Longitudinal Relations between Religiosity, Moral Disengagement, and Offending in Serious Adolescent Offenders
Much prior research has found that religiosity is negatively related to crime. Still, less is known about the mechanisms that govern this relationship, especially among offending populations. One theory that can offer more ...