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The Little Village Gang Violence Reduction Project in Chicago

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elationship of life-course and life-space variables to changes <strong>in</strong> the program youth’s selfreportedoffenses (arrests) between Time I and Time III, particularly the difference betweenfrequency of self-reported total offenses and violence offenses. <strong>The</strong> second test more directlyaddresses changes <strong>in</strong> responses of program youth which might be associated with <strong>Project</strong> effects.We do not yet consider changes us<strong>in</strong>g arrest data.We have selected multiple regression model<strong>in</strong>g as the statistical analysis method bywhich to predict the effects of neighborhood, family, gang, and <strong>in</strong>dividual-youth characteristicsidentified as statistically significant from the correlation analyses above – along with controlvariables (the youths’ ages, and the gangs with which they are affiliated), and covariates (priortotal offenses, prior violence offenses) – on change <strong>in</strong> self-reported offenses. <strong>The</strong>se sets ofvariables will enter our model as predictors of change <strong>in</strong> four dependent, or outcome, variables:total offenses, total violence offenses and changes <strong>in</strong> these two sets of offenses over time. S<strong>in</strong>cethe values of some of the characteristics are miss<strong>in</strong>g for 6 program youth, the sample size for themodels <strong>in</strong> this analysis is 121.Predict<strong>in</strong>g Total Self-Reported Offenses at Time IIIOur best model for predict<strong>in</strong>g total offenses at Time III <strong>in</strong>cludes ten variables. Three arecontrol variables, or covariates, derived from responses at Time I: total offenses (exclud<strong>in</strong>g drugoffenses), youth’s age (1 = under 19 years of age, [ma<strong>in</strong>ly 14 to 18 years]) (0 = 19 years andover, [ma<strong>in</strong>ly 19 to 24 years]) and gang affiliation ( 1 = Lat<strong>in</strong> K<strong>in</strong>gs) (0 = Two Six).<strong>The</strong> rema<strong>in</strong><strong>in</strong>g seven variables <strong>in</strong> this model are derived from responses at Time III: gangmembership status (1 = former) (0 = current); th<strong>in</strong>k<strong>in</strong>g of quitt<strong>in</strong>g gang (1 = yes) (0 = no);10.26

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