Effectiveness of Programs to Prevent School Bullying

Sixteen major evaluations of programs to prevent school bullying, conducted in 11 different countries, are reviewed in detail. Of these 16 evaluations, 8 produced desirable results, 2 produced mixed results, 4 produced small or negligible effects, and 2 produced undesirable results. These varying findings may reflect variations in programs, in implementation, in assessment methods, or in evaluation designs. It is concluded that high-quality evaluations are needed in the future, with randomized designs, theoretically grounded interventions, multiple measures of bullying, and attempts to disentangle the effectiveness of different program components.     

Taking Stock of Drug Courts: Do They Work?

ABSTRACT

Although researchers, policymakers, and practitioners alike have long known about the established link between substance abuse and criminal behavior, criminal justice agencies in the United States are still tasked with managing an influx of individuals who display symptoms of abuse and dependence. By the late 1980s, the drug court model emerged as an innovative response to this problem, and this reform has since proliferated to such an extent that it is the most common type of problem-solving court in America. Still, there remains much variation in how drug courts are implemented across jurisdictions, which can have strong implications for the outcomes among the courts’ participants. In this review, we summarize the key research on drug court implementation, followed by an assessment of whether they can be said to “work” in terms of reducing criminal behavior and relapse among adults. We conclude that the model remains an evidence-based practice and suggest some directions for future work, including increased emphasis on theory and causal dynamics and key measurement issues.     

Disseminating Public Data as Public Use Files: What Makes a Successful Initiative?

The current policy emphasis on data-driven decision-making is creating the right incentives for government agencies around the world that have not traditionally disseminated their administrative data to do so. The literature on statistical disclosure control focuses on the technical aspects of a variety of methods designed to protect data confidentiality. There is, however, a void in the literature in regard to what other elements are necessary to create and sustain a successful initiative. This paper examines six case studies of individual-level datasets. It reviews current practice in several domains and summarizes recommendations from expert practitioners including challenges for future initiatives.