The Profiling of Robbery Offenders

By Jamie Richard Yapp

This thesis has investigated the offence of robbery. Specifically, the semi-systematic review analysed commercial armed robbery, grouping offenders in terms of an apparent scale of professionalism to amateurism. Within armed robbery, target hardening strategies appear to have reduced opportunities for professionals, with a corresponding increase in amateur armed robbers fuelled by drug habits. The empirical study found that levels of interaction used by an offender with a victim increased with offender age. Interaction was lower for a robbery committed in an external location and for offenders with previous convictions for offences against the person and property. The violence facet could not be labelled as a specific discriminatory predictor. The findings from the research and semi-systematic review distinguished between two types of robbery offender; a career professional and an amateur antisocial robber. A career professional is older and more experienced, more likely to offend in a commercial location, commit the crime in a planned and controlled manner, use high levels of interaction and lower levels of violence. An amateur antisocial robber is more likely to commit an offence outside, have previous convictions for offences against the person and property and/or be under the influence of an illegal substance. The offence is likely to be opportunistic and chaotic, characterised by high levels of violence and low levels of interaction. The Inventory of Offender Risk, Needs and Strengths (IORNS) psychometric measure was analysed. It has the potential to provide an assessment of a robbery offender‟s ongoing treatment and risk management. However, it requires further validation and reliability analysis before it is deemed appropriate in doing so. The case study highlighted the impact of cannabis misuse on a robbery offender‟s behaviour pattern and mental illness. Implications for offender treatment needs, future therapeutic intervention and risk management are discussed along with the need for further validation of the proposed model.

Birmingham, UK: University of Birmingham, 2010. 215p.