Measuring the Expertise of Burglars
Expertise literature in mainstream cognitive psychology is rarely applied to criminal behaviour. Yet, if closely scrutinised, examples of the characteristics of expertise can be identified in many studies examining the cognitive processes of offenders, especially regarding residential burglary. We evaluated two new methodologies that might improve our understanding of cognitive processing in offenders through empirically observing offending behaviour and decision-making in a free-responding environment. We tested hypotheses regarding expertise in burglars in a small, exploratory study observing the behaviour of 'expert' offenders (ex-burglars) and novices (students) in a real and in a simulated environment. Both samples undertook a mock burglary in a real house and in a simulated house on a computer. Both environments elicited notably different behaviours between the experts and the novices with experts demonstrating superior skill. This was seen in: more time spent in high value areas; fewer and more valuable items stolen; and more systematic routes taken around the environments. The findings are encouraging and provide support for the development of these observational methods to examine offender cognitive processing and behaviour.
The lead researcher calls this "dysfunctional expertise," but I disagree. It's expertise.
Claire Nee, a researcher at the University of Portsmouth in the U.K., has been studying burglary and other crime for over 20 years. Nee says that the low clearance rate means that burglars often remain active, and some will even gain expertise in the crime. As with any job, practice results in skills. "By interviewing burglars over a number of years we've discovered that their thought processes become like experts in any field, that is they learn to automatically pick up cues in the environment that signify a successful burglary without even being aware of it. We call it 'dysfunctional expertise,'" explains Nee.
See also this paper.
Posted on April 30, 2015 at 2:22 PM • 13 Comments