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17 Just. Rsch. & Pol'y 3 (2016)

handle is hein.journals/jcerhadp17 and id is 1 raw text is: Research Article Justice Research and Policy 2016, Vol. 17(1) 3-27 Utilizing Incident-Based ŠTh Authris 6 Reprints and permission: sagepub.com/journalsPermissions.nav Crim e Data to Inform DOI: 10.1177/1525107116674925 ournals~sagepub com/home/jrx Strategic Interventions: @SAGE A Problem Analysis of Violence in Michigan Jason Rydberg', Rebecca Stone', and Edmund F. McGarrelP2 Abstract A public health approach to violence prevention involves the empirical identification of groups and communities at the highest risk for violence to inform targeted inter- ventions. We demonstrate the utility of complete incident-level crime data toward this end. Data for 32,056 unique incidents involving homicide, aggravated assault, and robbery were extracted from the 2013 Michigan Incident Crime Reporting system, a statewide National Incident-Based Reporting System (NIBRS) data system. Differ- ential victimization rates were calculated across demographic subgroups and jur- isdictions to identify patterns in risk. Two-stage least squares regression models were estimated to examine correlates of variation in excess risk. Analyses identified young Black males and females at relatively high risk for violent victimization, and that this risk was amplified within cities with disproportionately high crime rates. Multivariate models suggested concentrated disadvantage as the most stable correlate of variation in excess risk across Michigan cities and towns. The results highlight the importance of expanding NIBRS adoption and the deployment of focused interventions involving both short-term enforcement and long-term social reinvestment. Keywords NIBRS, violent crime, public health approach, victimization risk ' School of Criminology and Justice Studies, University of Massachusetts Lowell, Lowell, MA, USA 2 School of Criminal Justice, Michigan State University, East Lansing, MI, USA Corresponding Author: Jason Rydberg, School of Criminology and Justice Studies, University of Massachusetts Lowell, Health and Social Sciences Building 495, 113 Wilder Street, Lowell, MA 01854, USA. Email: jasonrydberg@uml.edu