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NCJ Number: 230226 Find in a Library
Title: Assessing the Spatial–Temporal Relationship Between Disorder and Violence
Journal: Journal of Quantitative Criminology  Volume:26  Issue:1  Dated:March 2010  Pages:139-163
Author(s): Sue-Ming Yang
Date Published: March 2010
Page Count: 25
Sponsoring Agency: National Institute of Justice (NIJ)
Washington, DC 20531
Grant Number: 2005-IJ-CX-0006
Document: PDF
Dataset: DATASET 1
Publisher: http://www.springer.com 
Type: Report (Study/Research)
Format: Article
Language: English
Country: United States of America
Annotation: This study examined the longitudinal relationship between crime and disorder.
Abstract: The relationship between disorder and violence has generated much debate in the field of criminology. While advocates of the broken windows thesis believe disorder is the root cause of crime, other researchers view both disorder and crime as analogous behaviors resulting from the breakdown of collective efficacy. Scholars from both sides of this debate, however, assume a long-term correlation between disorder and crime at places. This assumption has not been tested with a longitudinal dataset at a relatively small geographic unit of analysis. The current study used data collected in Seattle, Washington and utilized Group-based Trajectory Analysis and Joint Trajectory Analysis to explore the longitudinal relationship between disorder and violence. The results showed that disorder, just like crime, concentrates in a few “hot spots.” Additionally, the results showed that while the lack of disorder problems guarantees places to be violence free, having high levels of disorder predicts having violence problems only about 30 percent of time. As such, these findings point out the need for future theorization efforts on the disorder-violence nexus to include contextual factors which could explain this imperfect association between the two. Figures, tables, and references (Published Abstract)
Main Term(s): Criminology
Index Term(s): Crime analysis; Crime patterns; Violence; Violence causes; Violence prediction
Note: For additional articles see NCJ-230220-225.
To cite this abstract, use the following link:
http://www.ncjrs.gov/App/publications/abstract.aspx?ID=252258

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