Oderators of race, impulsivity, positive attitudes toward violence, peer violence, and neighborhood crime simultaneously. All

Oderators of race, impulsivity, positive attitudes toward violence, peer violence, and neighborhood crime simultaneously. All moderators were grand mean centered prior to Protein degrader 1 (hydrochloride) conducting analyses (Cohen, Cohen, West, Aiken, 2003). Significant interactions were probed at high (1 SD above the mean) and low (1 SD below the mean)2Skewness of the within-individual alcohol and aggressive behavior changes scores was less than 1 (-.11 to .38), and for all timeinvariant variables, except peer violence (1.69), was less than 1 (-.07 to .73), suggesting non-normality was not a concern for the current models.J Abnorm Child Psychol. Author manuscript; available in PMC 2014 February 01.White et al.Pagevalues of the moderator to determine the nature of the interaction using standard procedures for continuous variables (Aiken West, 1991). We also repeated these analyses with changes in alcohol use as the dependent variable and changes in aggression as the independent variable.NIH-PA Author Manuscript NIH-PA Author Manuscript NIH-PA Author ManuscriptRESULTSDescriptive Statistics Correlations and descriptive statistics for study variables are presented in Table 1. Original measures of alcohol quantity and aggressive behavior (without any person-mean centering) are included in this table to demonstrate the correlations between these variables and the moderators (i.e., how closely the relative standings of individuals on these variables are associated). This was done because, as mentioned previously in the analysis section, the correlation between the time invariant moderators and the change scores for alcohol and aggression over time (which are used in the primary analysis) will be zero. All risk factors but neighborhood crime were moderately to strongly associated with aggressive behavior (rs = .44 to .69, ps < .01) and alcohol use (rs = .32 to .38, ps < .01). Correlations among risk factors ranged from .09 to .51, with the largest correlation found between positive attitudes toward violence and peer violence. Multicollinearity among risk factors was not a concern for the current study. Whites (mean = 2.28) reported significantly (t = -8.43; p < .001) higher levels of alcohol use quantity PubMed ID:http://www.ncbi.nlm.nih.gov/pubmed/21093624 averaged across all waves than Blacks (mean = 1.51). No significant racial differences in mean levels of aggressive behavior were found. (These data are not shown but are available from the first author upon request.) Changes in Aggression in Relation to Changes in Alcohol Use A model in which within-individual change in aggressive behavior was regressed on withinindividual change in alcohol, marijuana, and hard drug use was first estimated (see Model 1, Table 2). Within-individual increases in alcohol use were associated with within-individual increases in aggressive behavior across adolescence, while increases in marijuana use were actually associated with decreases in aggressive behavior. The effect associated with changes in hard drug use was nonsignificant. The interactions between change in alcohol use and the potential moderators were then simultaneously added to the model (see Model 2, Table 2). When simultaneously examining the interactions, positive attitudes toward violence and neighborhood crime moderated the link between change in alcohol use and change in aggressive behavior. At high levels (i.e., one SD above the mean) of positive attitudes toward violence ( = .12, p < .001) and neighborhood crime ( = .10, p < .001), increases in alcohol use were associated.