Exploring social-emotional learning, school climate, and social network analysis.

There is currently limited research on student peer leadership in the social-emotional literature. This paper used exploratory methods of social network analysis to understand the structure of school peer relationships, peer leadership, and school climate. Self-report measures of perceptions of peer leadership and climate were given to students during the 2016-2017 school year. Data collected from a peer leadership survey were used to calculate closeness and indegree centrality values. The results showed that student Ambassadors have higher peer nominated leadership scores compared to non-Ambassador controls and the rest of the school. Additionally, Ambassadors did not demonstrate a change in centrality scores, non-Ambassador students increased in centrality scores, and school climate was not correlated with the leadership centrality score. Results suggest that influence spreads, and that good leadership may be emulated among students, leading to a diffusion effect. This supports the need for good leaders in schools. Additionally, climate may not be associated with leadership centrality scores due to the length of the intervention. Future studies should look toward behavioral data to unravel what comprises positive and negative influences in Social-Emotional and Character Development interventions.

The moderating effect of neighborhood sense of community on predictors of substance use among Hispanic urban youth.

Hispanic adolescents represent a disproportionate number of youth living in urban communities. These youth confront significant social problems that increase their likelihood for substance use. However, youth that have a greater neighborhood sense of community are postulated, through empowerment theory, to be less influenced by negative environmental experiences and less inclined to engage in drug and alcohol use. We examine the moderating effect neighborhood SOC has on predictors of substance use among Hispanic (N = 538) urban youth in low- (n = 246) and high-conflict homes (n = 292). Using logistic regression analysis and a plotting technique to examine interaction effects, we explore these relationships and provide recommendations for practice and prevention.