Correlates of perceived effectiveness of the Safe Schools/Healthy Students Initiative.

A three-level growth-curve model was applied to estimate perceived impact growth trajectories, using multi-year data from project and school surveys on outcome and program implementation collected from 59 sites and approximately 1165 participating schools in the Safe Schools and Healthy Students Initiative. Primary interest is to determine whether and how project-level and school-level correlates affect schools' perceptions of the Initiative's effectiveness over time when the effects of the pre-grant environmental conditions, grant operations, and near-term outcomes are considered. Coordination and service integration, comprehensive programs and activities for early childhood development, and change in school involvement were found to be significant predictors of school-perceived overall impact when the effect of poverty was considered. Partnership functioning, perceived importance of school resources, and school involvement were found to be significant predictors of school-perceived impact on substance use prevention when the effect of poverty was considered.

A national evaluation of Safe Schools/Healthy Students: outcomes and influences.

The Safe Schools/Healthy Students (SS/HS) Initiative has awarded over $2 billion in grants to more than 350 school districts in partnership with local mental health, law enforcement, and juvenile justice agencies. To estimate the impact of grantee characteristics, grant operations, and near-term outcomes in reducing violence and substance use, promoting mental health, and enhancing school safety, logged odds ratios (LORs) were calculated contrasting Year 3 with Baseline performance from grantee-provided data on seven outcome measures. After comparing grantee performance across outcomes and outcomes across grantees, the LORs were entered as dependent variables in a series of meta-regressions in which grantee characteristics, grant operations, and near-term outcomes were tested after controlling for pre-grant characteristics. Findings indicate that the SS/HS Initiative significantly improved most outcomes, that within-grantee performance varied greatly by outcome, and that random-effects meta-regression appreciably decreased the variance available for modeling. The approach demonstrates that the SS/HS Initiative is effective and that locally collected performance data can be used to estimate grantee success in improving youth outcomes.