Thesis (Ph. D.)--University of Texas at Austin, 2002. / Vita. Includes bibliographical references. Available also from UMI Company.

Not available / text

Thesis (Ph. D.)--Virginia Commonwealth University, 2007. / Prepared for: Center for Public Policy. Bibliography: leaves 247-256. Also available online via the Internet.

A thesis submitted to the Faculty of Arts in fulfilment of the requirements for the Degree of Master of Arts in the Department of Criminal Justice at the University of Zululand, 2000. / Fear of crime has become a much documented crime related problem. It can lead to avoidance behaviour, for example when normal social activities are curtailed and certain areas are avoided. Lewis and Salem (1986:3) conclude that "fear of crime [has become] as much of a social problem as the crime itself. Fear of crime is escalating in most parts of South Africa. In black urban as well as rural areas, it is so high that it seriously affects lifestyles and quality of life. The impact of crime can be noted in the changes in lifestyle that are made as a result of the threat of crime. People restrict their normal activities and alter their behaviour in response to the fear of crime. Many countries in the western world have been grappling with the reality of high levels of crime for a number of decades. The crime problem is closely related to the general stability and economic position of a country. This is a well known fact that in South Africa people tend to restrict their normal activities and alter their behaviour in response to fear of crime. The consequences of fear of crime are varied and numerous: psychologically, fear of crime generates feeling of anxiety, genera! mistrust, alienation, dissatisfaction with life and in some cases, mental illness (Glanz 19B9:54). Socially the fear of crime may lead to: — a breakdown of social cohesion and solidarity; — curtailment of normal activities; — avoidance of sites and situations associated with crime; — disappearance of sociability, mutual trust, willingness to support or assist other people; and — the avoidance of strangers (Smith & Glanz 1989:54).

Thesis (M.A.) - Carleton University, 2005. / Includes bibliographical references (p. 97-102). Also available in electronic format on the Internet.

No description available.

Thesis (Ph. D.)--Northeastern University, 2008. / Title from title page (viewed April 3, 2009). Graduate School of Arts and Sciences, Dept. of Sociology and Anthropology. Includes bibliographical references (p. 225-237)

Thesis (Ph. D.)--University of Chicago, Dept. of Sociology, December 2002. / Includes bibliographical references. Also available on the Internet.

Thesis (Ph. D.)--University of Tennessee, Knoxville, 2003. / Title from title page screen (viewed Nov. 10, 2003). Thesis advisor: John M. Scheb. Document formatted into pages (viii, 89 p. : col. ill., col maps). Vita. Includes bibliographical references (p. 70-78).

Law enforcement agencies regularly collect crime scene information. There exists, however, no detailed, systematic procedure for this. The data collected is affected by the experience or current condition of law enforcement officers. Consequently, the data collected might differ vastly between crime scenes. This is especially problematic when investigating volume crimes. Law enforcement officers regularly do manual comparison on crimes based on the collected data. This is a time-consuming process; especially as the collected crime scene information might not always be comparable. The structuring of data and introduction of automatic comparison systems could benefit the investigation process. This thesis investigates descriptive and predictive models for automatic comparison of crime scene data with the purpose of aiding law enforcement investigations. The thesis first investigates predictive and descriptive methods, with a focus on data structuring, comparison, and evaluation of methods. The knowledge is then applied to the domain of crime scene analysis, with a focus on detecting serial residential burglaries. This thesis introduces a procedure for systematic collection of crime scene information. The thesis also investigates impact and relationship between crime scene characteristics and how to evaluate the descriptive model results. The results suggest that the use of descriptive and predictive models can provide feedback for crime scene analysis that allows a more effective use of law enforcement resources. Using descriptive models based on crime characteristics, including Modus Operandi, allows law enforcement agents to filter cases intelligently. Further, by estimating the link probability between cases, law enforcement agents can focus on cases with higher link likelihood. This would allow a more effective use of law enforcement resources, potentially allowing an increase in clear-up rates.