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A More Consistent Application of the RNR Model: The Strong-R Needs Assessment

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Criminal Justice and Behavior

Published online on

Abstract

The development of risk–needs assessments has substantially expanded assessment content, which is reflected in the now regular use of both static and dynamic items. However, while the risk–need–responsivity model differentiates between risks and needs theoretically, the scoring of risks and needs does not make for a clear demarcation. We argue that an assessment of an offender’s needs should be scored separately and solely on items that are changeable and predict recidivism. This article describes the conceptualization and development of Washington State’s offender needs assessment. Designed to complement an offender’s assessment of risk, we make use of key design elements to avoid many theoretical and methodological caveats. Using preexisting item selection, weighting, and validation methods, we present domain-based needs models that maximize item content and provide substantial performance in the prediction of recidivism.