Richard Hoefer, Ph.D.http://hdl.handle.net/10106/270572024-03-29T07:18:55Z2024-03-29T07:18:55ZControlling the Levers of Power: How Advocacy Organizations Affect the Regulation Writing ProcessHoefer, RichardFerguson, Kristinhttp://hdl.handle.net/10106/270602020-05-26T14:21:46Z2007-03-01T00:00:00ZControlling the Levers of Power: How Advocacy Organizations Affect the Regulation Writing Process
Hoefer, Richard; Ferguson, Kristin
The Federal regulation-writing process is vital to understanding how laws are translated into policy. This paper re-examines data on human services interest groups active in lobbying the executive branch to determine what factors influence their effectiveness. Building on findings from Hoefer (2000), structural equation modeling is used to re-analyze the original regression model of interest group effectiveness (IGE) on a sample of 127 Washington D.C.-based interest groups. Results indicate that some of the previous findings are not supported and an alternative model is proposed. A group's position, context and access to information and policymakers emerge as significant determinants of IGE. Access also mediates the impact of a group's strategy and position on IGE. Implications for practice and future research are provided.
2007-03-01T00:00:00ZDating Violence Policy: Making the GradeHoefer, RichardBlack, Beverly M.Salehin, Mashooq Azadhttp://hdl.handle.net/10106/270592020-05-22T12:33:33Z2012-12-01T00:00:00ZDating Violence Policy: Making the Grade
Hoefer, Richard; Black, Beverly M.; Salehin, Mashooq Azad
Dating violence rates affect an unacceptably high percentage of youth. This paper tests a model to understand the considerable variation in state dating violence policy comprehensiveness. Independent variables in the model are state political culture, partisan control of political institutions, prevalence of dating violence, and median household income. Bivariate results show partial support for preliminary hypotheses. Regression analysis indicates that
strength of Democratic Party control of governmental institutions is the only variable in the model that achieved statistical significance. Implications and recommendations for future research are provided.
2012-12-01T00:00:00Z