Risk Assessment Stability: A Revalidation Study of the Arizona Risk/Needs Assessment Instrument.

The actuarial method is the gold standard for risk assessment in child welfare, juvenile justice, and criminal justice. It produces risk classifications that are highly predictive and that may be robust to sampling error. This article reports a revalidation study of the Arizona Risk/Needs Assessment...

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Publicado en:Research on Social Work Practice Vol. 19; no. 2; pp. 205 - 214
Autor principal: Schwalbe, Craig S.
Formato: Artículo
Publicado: Sage Publications Inc. March 2009
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Risk Assessment Stability: A Revalidation Study of the Arizona Risk/Needs Assessment Instrument.
      aug:
        au: Schwalbe, Craig S.
      su:
        Risk assessment
        Test validity
        Juvenile delinquency
        Prediction of criminal behavior
      sug:
        subj:
          Risk assessment
          Test validity
          Juvenile delinquency
          Prediction of criminal behavior
      ab: The actuarial method is the gold standard for risk assessment in child welfare, juvenile justice, and criminal justice. It produces risk classifications that are highly predictive and that may be robust to sampling error. This article reports a revalidation study of the Arizona Risk/Needs Assessment instrument, an actuarial instrument for juvenile offenders. Results of this study (N = 29,711) show that the actuarial model provided stable predictive validity estimates for recidivism up to 7 years after its initial validation and that predictive validity did not vary appreciably for males, females, White offenders, Latino youth, African American youth, and Native American youth. These findings lend further support to the actuarial approach to risk assessment and clarify the literature about risk assessment across gender and race/ethnicity. Reprinted by permission of the publisher.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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