
doi: 10.2139/ssrn.3170284
This lecture presents students, and professionals who are training in crime statistics reporting, with a concrete tutorial in how to critically evaluate government crime statistics with reference to public data collected from public surveys on their recounted experiences of crime. Using historical crime statistics from Home Office UK reports and statistics from what was previously known as the British Crime Survey, the tutorial demonstrates the inconsistencies in police reported crime and crime reported in the same time period by a representative sample of people from public households in England & Wales. What's more, the tutorial explores whether public fear of crime can be justified by crime's extent. The tutorial presents a worked clear example of the 'Dark Figure of Crime' phenomenon, and provides detailed coverage of the following: 1. Advantages and disadvantages of police reporting v public reporting of crime, 2. Understanding the explanatory steps to attend to when discrepancies in official policing crime statistics, and official public crime reporting statistics arise, 3. The circumstances that brought about the 'Simmons Report (2000)', 4. Explanations for the rise in crime according to societal and psychological factors, 5. The 'Social Psychological Fear of Crime Model' of explanation regarding public perception of their likelihood to be victims of crime, regardless of crime statistics reporting, 6. The psychological consequences of victimization and how it relates to lack of crime reporting to the police in the first instance, and finally the presentation closes with an evaluation. The lecture will be suitable to those working in social research and studying criminology, law, socio-legal studies, forensic psychology, critical psychology, or social statistics.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
