In the United States, the large number of incarcerated individuals presents heavy social and economic burdens. To lessen these strains, many criminal justice agencies utilize risk assessment to determine which individuals are at a higher risk of recidivating and allocate limited intervention resources accordingly. To ensure these interventions are being delivered to those persons most in need, these risk assessment instruments must be tested for predictive validity. The present research seeks to revalidate one such risk assessment tool, the Level of Service Inventory Revised (LSI-R), on an adult offender population of a Midwest state. Additionally, this research expands on previous LSI-R validation studies by assessing the predictive validity of the LSI-R on an understudied population, Native Americans. The analyses utilized in this research include univariate descriptive statistics, bivariate correlation, and Receiver Operator Characteristic/Area Under the Curve analysis. Results are presented. Policy implications and recommendations for future research are discussed.

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