Graduation Semester and Year
2020
Language
English
Document Type
Thesis
Degree Name
Master of Arts in Criminology and Criminal Justice
Department
Criminology and Criminal Justice
First Advisor
Michael F TenEyck
Abstract
Little is known regarding predictive factors that contribute to adults successfully completing felony probation—particularly those who are granted early release. The current study attempts to fill this gap by analyzing data from a large, urban, community supervision and corrections department to examine what predictive factors—as identified by the Texas Risk Assessment System (TRAS) impact successful early release from adult felony probation. Results from multivariate logistic regression models revealed that the TRAS domains of criminal history and education/employment were significant predictors of early dismissal from felony community supervision as was the total TRAS risk score. Additionally, being male and black significantly reduced the odds of early release from felony probation. The ability to capitalize on the areas leading to successful early release promotes greater efficacy in probation supervision strategies and alerts staff to areas where practitioners may have a direct effect on proper supervision techniques to enhance positive behavioral changes in the clients they serve.
Keywords
Risk assessment, Texas Risk Assessment System (TRAS), Adult probation: early release, Rehabilitation, Recidivism
Disciplines
Criminology and Criminal Justice | Legal Studies | Social and Behavioral Sciences
License
This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.
Recommended Citation
Shelton, Carley Rene, "Forecasting Success: Using the Texas Risk Assessment System to Predict Early Discharge in a Large Sample of High, Moderate, and Low Risk Offenders" (2020). Criminology & Criminal Justice Theses. 108.
https://mavmatrix.uta.edu/crcj_theses/108
Comments
Degree granted by The University of Texas at Arlington