Predictive Utility of the El Paso Pretrial Risk Assessment Instrument - Revised (EPPRA-R)
Abstract
Pretrial risk assessments are used to divert defendants from pretrial detention by estimating risk of pretrial specific outcomes (i.e., failure to appear, rearrest). Ongoing validation of this tool is recommended to assess accuracy and ensure that there is no bias against specific subgroups (e.g., gender, race/ethnicity, or age) of defendants. The present study evaluates the utility of a locally developed instrument in El Paso County – a predominantly Latinx county. Area Under the Curve (AUC) Receiving Operator Condition (ROC) analyses indicate statistically “fair” predictive utility for the tool. Binary logistic regression models suggest no evidence of bias. This study will provide direct and significant outcome information to key stakeholders in the community and inform future validation efforts with diverse populations in pretrial settings.
Subject Area
Experimental psychology|Behavioral psychology
Recommended Citation
Queen, Chelsea Sierra, "Predictive Utility of the El Paso Pretrial Risk Assessment Instrument - Revised (EPPRA-R)" (2022). ETD Collection for University of Texas, El Paso. AAI30241406.
https://scholarworks.utep.edu/dissertations/AAI30241406