Fidelity of Implementation of a State Antibullying Policy With a Focus on Protected Social Classes

Bullying threatens the mental and educational well-being of students. All states have enacted antibullying laws. This study surveyed 634 educators about the implementation of the North Carolina School Violence Prevention Act, which enumerated social classes protected from bullying: race, national origin, gender, socioeconomic status, sexual orientation, gender identity, appearance, and disability. Results showed that local antibullying policies most often included race as a protected class and least often included sexual orientation and gender identity. More educators had been trained on bullying based on race than any other social class. Students were more often informed that bullying based on race was prohibited and were least often informed about prohibitions regarding sexual orientation and gender identity. Reporting, investigating, and remediating bullying was highest for racial bullying, followed by disability bullying, and was lowest for bullying based on sexual orientation and gender identity.     

The percentage of HIV treatment and prevention services in Kenya provided by faith-based health providers

ABSTRACT

Although the percentage of health services provided by the faith-based sector in sub-Saharan Africa is often cited along a range from 30% to 70%, depending on the country, such citations tend to be anecdotal and without reference to actual analysis of health service data. This article reports on a secondary analysis of health service data in Kenya to determine the percentage of HIV services provided by faith-based health providers. It then discusses the contributions of faith-based providers in light of these data, identifying opportunities and challenges involved in efforts to ensure that the resources of the faith-based sector are maximised.     

Merging content analysis and the policy sciences: A system to discern policy-specific trends from news media reports

In this article we set out to bridge a surprising methodological gap between two time-honored research traditions – news media content analysis and the policy sciences analytic framework. Lasswell, a recognized pioneer of both the method and the framework, discussed the mutual benefits of each decades ago. But few researchers, if any, have formally linked the two. To that end, in this article we (1) make the case for using news media content analysis to inform research studies using the policy sciences analytic framework; (2) introduce an original content analysis categorical system for that purpose; (3) demonstrate that system with a study of 90 national news articles about the stratospheric ozone hole; and (4) compare our system to others used to examine news content. We report that our system, used by human coders, is well geared to describing and mapping trends in the social process surrounding the development of the Montreal Protocol ozone treaty during the intelligence gathering and promotion phases encompassed by our data sample. We argue that other content analysis systems fall short – in structure and purpose – of meeting the promise ours holds to the policy scientist.