Evidence-Based Approaches to Domestic Violence Risk Assessment
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Training Description
According to the World Health Organization, at least one in three women will experience domestic violence during their lifetime. These incidents result in significant physical and psychological trauma, necessitating their prediction by mental health, criminal justice, and law enforcement professionals. The aim of this webinar is to identify the most commonly-used domestic violence risk assessment tools and to explore peer-reviewed research evidence of their accuracy when used in practice. Key limitations to the contemporary literature are also discussed.
Trainer Biography
Jay P Singh, PhD is Clinical Associate in the Department of Psychiatry at the University of Pennsylvania. Former Senior Clinical Researcher in Forensic Psychiatry and Psychology for the Department of Justice of Switzerland and fellow of the Mental Health Law and Policy Department at the University of South Florida, he completed his graduate studies in psychiatry at the University of Oxford. Since this time, he has lectured for Harvard, Yale, Columbia, Cornell, Brown, Dartmouth, and UPenn. He was promoted to Full Professor at Molde University College in Norway in 2014.
Learning Objectives
This training is designed to help you:
- Identify the most commonly-used domestic violence risk assessment tools in the field today
- Explore the peer-reviewed research evidence on the predictive validity of the most commonly-used domestic violence risk assessment tools
- Discuss key limitations of the current domestic violence risk assessment literature