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The Little Village Gang Violence Reduction Project in Chicago

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We try to identify those specific components of the program important <strong>in</strong> achiev<strong>in</strong>g<strong>Project</strong> objectives, particularly those related to reduction of particular types of crime. Wealready have evidence, presented <strong>in</strong> Tables 12.2 and 12.3, that the <strong>Project</strong> may have had somedirect <strong>in</strong>fluence <strong>in</strong> lower<strong>in</strong>g the total arrests and serious violence arrests of <strong>in</strong>dividual gangyouth, at least based on <strong>in</strong>terview responses related to various social-space and relationshipfactors. <strong>The</strong> <strong>Project</strong> may have directly and significantly contributed to modification of thesefactors.We now turn briefly to the question of what direct effects the <strong>Project</strong> may have had onthe life-space and social-relationship factors that, <strong>in</strong> turn, contributed to reductions <strong>in</strong> varioustypes of crime by program youth. We ask: what elements of the program <strong>in</strong>duced youths to giveup certa<strong>in</strong> dysfunctional attitudes and behaviors? Also: what concepts are relevant <strong>in</strong> expla<strong>in</strong><strong>in</strong>gthe transition process of gang youth to legitimate roles <strong>in</strong> society? Us<strong>in</strong>g program characteristicsdescribed <strong>in</strong> Chapter 9, we identify variables, or comb<strong>in</strong>ations of variables, that predict thosespecific life-space/life-course changes important <strong>in</strong> lower<strong>in</strong>g levels of crime – total arrests,arrests for serious violence, arrests for all types of violence, and drug arrests (refer to Table12.6 subtables).We are limited by the categorical nature of program data collected through the workertrack<strong>in</strong>g<strong>in</strong>strument, but many of our program and life-space/life-course variables are also of acategorical nature. We employ Logistic Regression analysis to determ<strong>in</strong>e which particularprogram elements are particularly useful <strong>in</strong> predict<strong>in</strong>g successful life-space/life-course changesand developments that contribute to higher proportions of youth with reduced arrests. We<strong>in</strong>clude age as a covariate <strong>in</strong> these change models. We know that the youth gang problem is12.15

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