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This research develops a structural model of crime and imprisonment in the United States from data on 49 states which was evaluated through a series of path and regression analyses. The major findings revealed that crime rates were effectively predicted by social structural characteristics, primarily urban population characteristics, and in turn that prison admissions were predicted by crime rates. Prison releases were not as strongly influenced by structural characteristics as crime rates and prison admissions; however, prison admissions were found to significantly affect releases. Variations in social structural determinants of violent and property crimes were also observed. The implication of these results ore discussed and suggestions for future research are presented.  相似文献   

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