Offender Risk Assessment
By J. Bonta. 2002
214 citations recorded by the source corpus.
Subfields: Clinical Psychology, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/01879db0437ff3395ec5729e990c50ef59e2b713
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Clinical Psychology
- Jay P. Singh
- J. Bonta
- Demetra Andrews
- Michael T. Baglivio
- J. Wormith
- Katherine Jackowski
- P. Raynor
- Faye S. Taxman
In Sociology and Political Science
- Jay P. Singh
- J. Bonta
- Demetra Andrews
- Michael T. Baglivio
- J. Wormith
- Katherine Jackowski
- P. Raynor
- Faye S. Taxman
Citations in the corpus
- A comparative study of violence risk assessment tools: a systematic review and metaregression analysis of 68 studies involving 25,980 participants. (2011, background): “Due to the potential utility of such tools, researchers have developed many risk assessment instruments, the manuals for which promise high rates of construct and predictive validity (Bonta, 2002).”
- Examining the Validity of a Juvenile Offending Risk Assessment Instrument Across Gender and Race/Ethnicity (2013, background): “This allows for individualized strengths to be built upon, and responsivity factors and learning styles to be considered when determining appropriate interventions (Andrews & Bonta, 2003; Bonta, 2002).”
- Advances in offender assessment and rehabilitation: Contributions of the risk–needs–responsivity approach (2004, background): “Assessments should be based on empirically-based factors, be related to criminal activity, possess predictive validity, and sample multiple domains of risk and criminogenic need (Bonta, 2002).”
- Development of the California Static Risk Assessment (CSRA): Recidivism Risk Prediction in the California Department of Corrections and Rehabilitation (2013, background): “The principles of evidence-based corrections acknowledge the need to identify risk levels and offender treatment needs appropriately if rehabilitation efforts are truly to be effective (Gendreau 1996; Bonta 2002; Andrews and Dowden 2006; Austin 2006).”
- The Recent Past and Near Future of Risk and/or Need Assessment (2006, background): “Proposals have been presented of breaking down the PCL-R items into static criminal history, dynamic criminogenic needs, and responsivity items (Andrews & Bonta, 2003; Bonta, 2002; Simourd & Hoge, 2000).”
- How well do dynamic needs predict recidivism? Implications for risk assessment and risk reduction (2013, background): “The distinction is that these dynamic items may be more relevant for informing treatment classification and placement decisions instead of predicting risk (Bonta, 2002; Gottfredson & Moriarty, 2006; Hannah-Moffat, 2005; Maurutto & Hannah-Moffat, 2006).”
- Evaluating the Predictive Validity of the Compas Risk and Needs Assessment System (2009, unknown): “Criminologists have long lamented the lack of theory-guided assessments (Bonta, 2002; Clements, 1996; Jones, 1996).”
- Risk and need assessment in British probation: the contribution of LSI-R (2007, background): “This potential for risk-related change measurement (or ‘‘dynamic predictive validity’’, Bonta, 2002) is demonstrated if it can be shown that changes over time in LSI-R scores are in fact related to changes in the probability of reconviction.”