Using correlational analyses to improve prevention strategies based on survey data from youth

Community coalition prevention models often select interventions based on the types of risk factors (outcome predictors) that are elevated. Variances and correlations between predictors and targeted behaviors also may vary between communities and provide information to improve the selection of interventions. Community differences in risk factor levels and correlations between predictors and problem behaviors were examined using a child self-report computer assessment (Assessment of Liability and EXposure to Substance use and Antisocial behavior; ALEXSA^©; prevention.psu.edu/people/ALEXSA.htm). Three school-based subsamples of children were studied. Means, prevalences, and correlations differed significantly between samples. Discussion addresses developmental considerations and illustrates how correlations between predictors and problem behaviors might improve the selection of interventions. This study is preliminary and should be replicated with larger community samples, more indicated/selected sample, and in more communities.