Dynamic Risk Factors: What role should they play in the explanation, assessment and rehabilitation of offenders?

Tony Ward (Curatore)

Clare-Ann Fortune (Curatore)

Taylor & Francis Ltd, 2018

Dynamic risk factors are the children of risk prediction. They were identified to help practitioners assess risk of recidivism and to set treatment targets likely to reduce reoffending. This resulted in the development of intervention programs designed to modify the characteristics of individuals and their environments associated with crime. The predictive nature of their legacy lies in their ability to provide reliable information about the likelihood of future reoffending. In this respect, dynamic risk factors are useful complements to static risk factors such as age, gender, and history of offending, and add incremental validity to recidivism prediction. Their treatment utility resides in the fact that practitioners increasingly rely on the identification of dynamic risk factors to direct correctional assessment and interventions. Thus, dynamic risk factors have a dual status. They are both useful predictors of reoffending and measures of risk status, and potential causes of reoffending, capable of serving an explanatory role as well as a predictive one. It is a simple and powerful conceptualization that has streamlined forensic and correctional research, program development, and the delivery of treatment. Despite its conceptual elegance we believe that the dual conceptualization of dynamic risk factors is problematic and these difficulties spill over into their role in assessment, assessment, treatment, and desistance contexts. In this publication, the nature and function of dynamic risk factors are investigated and their strengths and limitations identified. This book was originally published as a special issue of Psychology, Crime and Law.

• Curatore: Tony Ward, Clare-Ann Fortune
• Editore: Taylor & Francis Ltd
• Anno: 2018
• Rilegatura: Paperback / softback
• Pagine: 220 p.
• Dimensioni: 246 x 174 mm
• Peso: 453 gr.
• EAN: 9780367109561

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