Predicting recidivism by mentally disordered offenders using the LSI-R:SV

A. Murray Ferguson; James R.P. Ogloff; Lindsay Thomson

doi:10.1177/0093854808326525

Predicting recidivism by mentally disordered offenders using the LSI-R:SV

A. Murray Ferguson^*, James R.P. Ogloff, Lindsay Thomson

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

Abstract / Description of output

The Level of Service Inventory-Revised: Screening Version (LSI-R:SV) has proven to validly predict reoffending in general offender populations but has not previously been studied specifically with offenders who have a major mental illness, including those with a dual diagnosis. This research project measures the validity of the LSI-R:SV for use with 208 mentally ill offenders who were released from a secure forensic hospital in Melbourne, Australia. Results indicate that the LSI-R:SV is a good predictor of recidivism among mentally disordered offenders. However, the LSI-R:SV does not reliably predict recidivism in individuals who attracted a dual diagnosis. Further research needs to reevaluate risk factors associated with recidivism in offenders with a dual diagnosis.

Original language	English
Pages (from-to)	5-20
Number of pages	16
Journal	Criminal Justice and Behavior
Volume	36
Issue number	1
Early online date	20 Oct 2008
DOIs	https://doi.org/10.1177/0093854808326525
Publication status	Published - Jan 2009

Keywords / Materials (for Non-textual outputs)

Dual diagnosis
Mentally ill (disordered) offender
Recidivism
Risk assessment
Violence risk

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10.1177/0093854808326525

Cite this

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title = "Predicting recidivism by mentally disordered offenders using the LSI-R:SV",

abstract = "The Level of Service Inventory-Revised: Screening Version (LSI-R:SV) has proven to validly predict reoffending in general offender populations but has not previously been studied specifically with offenders who have a major mental illness, including those with a dual diagnosis. This research project measures the validity of the LSI-R:SV for use with 208 mentally ill offenders who were released from a secure forensic hospital in Melbourne, Australia. Results indicate that the LSI-R:SV is a good predictor of recidivism among mentally disordered offenders. However, the LSI-R:SV does not reliably predict recidivism in individuals who attracted a dual diagnosis. Further research needs to reevaluate risk factors associated with recidivism in offenders with a dual diagnosis.",

keywords = "Dual diagnosis, Mentally ill (disordered) offender, Recidivism, Risk assessment, Violence risk",

author = "{Murray Ferguson}, A. and Ogloff, {James R.P.} and Lindsay Thomson",

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T1 - Predicting recidivism by mentally disordered offenders using the LSI-R:SV

AU - Murray Ferguson, A.

AU - Ogloff, James R.P.

AU - Thomson, Lindsay

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N2 - The Level of Service Inventory-Revised: Screening Version (LSI-R:SV) has proven to validly predict reoffending in general offender populations but has not previously been studied specifically with offenders who have a major mental illness, including those with a dual diagnosis. This research project measures the validity of the LSI-R:SV for use with 208 mentally ill offenders who were released from a secure forensic hospital in Melbourne, Australia. Results indicate that the LSI-R:SV is a good predictor of recidivism among mentally disordered offenders. However, the LSI-R:SV does not reliably predict recidivism in individuals who attracted a dual diagnosis. Further research needs to reevaluate risk factors associated with recidivism in offenders with a dual diagnosis.

AB - The Level of Service Inventory-Revised: Screening Version (LSI-R:SV) has proven to validly predict reoffending in general offender populations but has not previously been studied specifically with offenders who have a major mental illness, including those with a dual diagnosis. This research project measures the validity of the LSI-R:SV for use with 208 mentally ill offenders who were released from a secure forensic hospital in Melbourne, Australia. Results indicate that the LSI-R:SV is a good predictor of recidivism among mentally disordered offenders. However, the LSI-R:SV does not reliably predict recidivism in individuals who attracted a dual diagnosis. Further research needs to reevaluate risk factors associated with recidivism in offenders with a dual diagnosis.

KW - Dual diagnosis

KW - Mentally ill (disordered) offender

KW - Recidivism

KW - Risk assessment

KW - Violence risk

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DO - 10.1177/0093854808326525

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Predicting recidivism by mentally disordered offenders using the LSI-R:SV

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Keywords / Materials (for Non-textual outputs)

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