Utility of the Revised Level of Service Inventory (LSI-R) in Predicting Recidivism After Long-Term Incarceration

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Abstract

Assessing an inmate's risk for recidivism may become more challenging as the length of incarceration increases. Although the population of Long-Term Inmates (LTIs) is burgeoning, no risk assessment tools have been specifically validated for this group. Based on a sample of 1,144 inmates released in a state without parole, we examine the utility of the Level of Service Inventory-Revised (LSI-R) in assessing risk of general and violent felony recidivism for LTIs (n = 555). Results indicate that (a) the LSI-R moderately predicts general, but not necessarily violent, recidivism, and (b) this predictive utility is not moderated by LTI status, and is based in part on ostensibly dynamic risk factors. Implications for informing parole decision-making and risk management for LTIs are discussed.

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