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Investigating the Simultaneous Effects of Individual, Program and Neighborhood Attributes On Juvenile Recidivism Using GIS and Spatial Data Mining

Publication year: 2008 | Cataloged on: Aug. 03, 2012

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  • Investigating the Simultaneous Effects of Individual, Program and Neighborhood Attributes On Juvenile Recidivism Using GIS and Spatial Data Mining

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Thumbnail preview ANNOTATION: “The primary goal of this project was to develop, apply, and evaluate improved techniques to investigate the simultaneous effects of neighborhood and program forces in preventing juvenile recidivism” (p. 6). This approach may benefit your agency in strategizing how to address juvenile recidivism. Seven chapters follow an abstract: introduction; neural network analysis of juvenile recidivism; spatial clustering of juvenile recidivism; hierarchical linear modeling of juvenile recidivism; a focus on drug offending with geographically weighed regression; specialization and peer contagion; and conclusions—the contributions of various methods to juvenile recidivism research and five broad conclusion based on the findings regarding recidivism.
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