Testing the Level of Service Inventory–Revised (LSI-R) for Racial/Ethnic Bias

AuthorKevin W. Whiteacre
Published date01 September 2006
Date01 September 2006
DOIhttp://doi.org/10.1177/0887403405284766
Subject MatterArticles
10.1177/0887403405284766Criminal Justice Policy ReviewWhiteacre/ Level of Service Inventory–Revised
Testing the Level of Service
Inventory–Revised (LSI-R)
for Racial/Ethnic Bias
Kevin W. Whiteacre
Salvation Army Correctional Services Program, Chicago
In corrections, the use of objective offender risk classification instruments is increasing.
Some observers have raisedconcerns that these instruments might overclassify poor and
minority offenders, butthere is little research to support these claims. Using contingency
tables to compare risk categories and program performance, this study examines the
Level of Service Inventory–Revised for racial/ethnic differences in classification errors
at a large federal community corrections center in the United States. The study found a
tendency toward more classification errors for African Americans than Caucasians or
Hispanics, though the types and rates of errors were dependent on the choice of the cutoff
score and the performance measure to be predicted. These findings highlight the need for
correctional facilities to conduct local tests of their classification instruments. The study
provides an easy and practical model for such tests.
Keywords: offender classification; race; risk assessment
Literature
Correctional professionals are increasingly using empirically based offender as-
sessment or classification instruments as a component of their program operations. A
national study of probation and parole agencies found that 75% of the departments
surveyed used standardized and objectiveclassification instruments (Hubbard, Travis,
& Latessa, 2001). A more recent survey by the National Institute of Corrections
(2003) found that all but two of the 73 community corrections agencies surveyedcon-
ducted some type of offender assessment. Assessment instruments are used primarily
for predicting the risk of disciplinary infractions and recidivism, assessing offenders’
needs, and evaluatingthe impact of rehabilitative programming (Raynor, Kynch, Rob-
erts, & Merrington, 2000).
Use of these instruments has been spurred by concerns over program accountabil-
ity, arbitrary staff decision making, resource allocation, and the need to identify what
works in corrections. Earlier subjective classification systems relied heavily on the
330
Criminal Justice
Policy Review
Volume 17 Number 3
Month 2006 330-342
© 2006 Sage Publications
10.1177/0887403405284766
http://cjp.sagepub.com
hosted at
http://online.sagepub.com
Author’s Note: The author wouldlike to thank Jim Van Dyke and the Salvation Army Correctional Ser-
vices Program Research Committee for their assistance and the anonymous reviewers for their helpful
suggestions.

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