Racial and ethnic differences in the predictive validity of the level of service inventory-revised among prison inmates
The Level of Service Inventory?Revised (LSI-R) is a risk/needs assessment tool that is widely used in correctional settings. Extant research has demonstrated the predictive validity of the LSI-R for individuals under correctional supervision. Yet, few researchers have assessed whether the LSI-R and...
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| Format: | Electronic Article |
| Language: | English |
| Published: |
2015
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| In: |
Criminal justice and behavior
Year: 2015, Volume: 42, Issue: 3, Pages: 286-303 |
| Online Access: |
Volltext (lizenzpflichtig) |
| Journals Online & Print: | Drawer...
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| Check availability: | HBZ Gateway |
| Keywords: |
MARC
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| 245 | 1 | 0 | |a Racial and ethnic differences in the predictive validity of the level of service inventory-revised among prison inmates |c Joselyne L. Chenane, Pauline K. Brennan, Benjamin Steiner, and Jared M. Ellison |
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| 520 | |a The Level of Service Inventory?Revised (LSI-R) is a risk/needs assessment tool that is widely used in correctional settings. Extant research has demonstrated the predictive validity of the LSI-R for individuals under correctional supervision. Yet, few researchers have assessed whether the LSI-R and its various subcomponents predict prison misconduct similarly for White versus non-White inmates. Using data collected from male inmates confined in prisons across a Midwestern state, we examined the predictive validity of the LSI-R and its 10 subcomponents for White, Black, and Hispanic inmates. We found that the LSI-R predicted the prevalence of misconduct for inmates of varying races/ethnicities. However, we reached a different conclusion when we examined the incidence of misconduct; the LSI-R composite score and subcomponent scores showed greater predictive utility for White inmates than for non-White inmates. Our findings add to a growing body of research that suggests that the predictive validity of the LSI-R differs by offender race/ethnicity. We discuss the policy implications of our findings and offer recommendations for future research. | ||
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| 650 | 4 | |a Risk assessment | |
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