Te Puna Haumaru Seminar Series – A Comprehensive Meta-Analysis on Predictors of Domestic Violence Recidivism

artak petrosyan Qp1qpHbsAcU unsplash
  • Thursday 29 May 2025
  • 2pm - 4pm
  • Online
  • Dr Apriel Jolliffe Simpson, Te Puna Haumaru
  • apriels@waikato.ac.nz
  • Free

Te Puna Haumaru Seminar Series — A Comprehensive Meta-Analysis on Predictors of Domestic Violence Recidivism: The Role of Universal and Specialized Risk Factors

Despite the proliferation of general risk assessment tools designed to predict any recidivism, numerous tools have been developed for specialised sub-populations, including perpetrators of domestic violence. This is predicated on the assumption that there are unique risk factors for domestic violence compared to general offending.

An early meta-analysis, however, suggested that this assumption may not be supported, as generic violence risk tools predicted domestic violence recidivism equally if not better than specialised tools. This meta-analysis coded over 1,800 effect sises from 120 studies to examine predictors of domestic violence recidivism.

Results will compare the predictive accuracy of the generic Central 8 risk factors for crime alongside more specialised factors specific to domestic violence (e.g., dynamics of the relationship, jealousy, stalking behaviour), as well as variables related to personality, mental health, criminal justice system processing, and treatment behaviour. Implications for the relative contribution of generic versus specialised risk factors for this population will be discussed.

Speaker

Dr L. Maaike Helmus is an Associate Professor in Criminology at Simon Fraser University in Vancouver, British Columbia, Canada.

She is also the Vice-President (Research) for the non-profit organisation SAARNA (the Society for the Advancement of Actuarial Risk Needs Assessment). Her research has focused on assessing risk of reoffending, particularly for people charged with sexual offences and intimate partner violence. Her research also examines risk assessment topics such as tool development and validation, risk communication, biases in decision-making, and cross-cultural validity.