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dc.contributor.authorTowers, Crystal Murani
dc.description.abstractIn 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.en_US
dc.publisherNorth Dakota State Universityen_US
dc.rightsNDSU policy 190.6.2en_US
dc.titleA Revalidation of the Level of Service Inventory–Revised (LSI-R)en_US
dc.typeThesisen_US
dc.date.accessioned2022-03-28T20:48:21Z
dc.date.available2022-03-28T20:48:21Z
dc.date.issued2020
dc.identifier.urihttps://hdl.handle.net/10365/32298
dc.subjectLSI-Ren_US
dc.subjectNative Americanen_US
dc.subjectrisk assessmenten_US
dc.subjectvalidationen_US
dc.identifier.orcid0000-0003-3215-1615
dc.rights.urihttps://www.ndsu.edu/fileadmin/policy/190.pdfen_US
ndsu.degreeMaster of Science (MS)en_US
ndsu.collegeArts, Humanities, and Social Sciencesen_US
ndsu.departmentCriminal Justice and Political Scienceen_US
ndsu.programCriminal Justiceen_US
ndsu.advisorMyer, Andrew


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