Abstract
Very little current empirical evidence exists to guide U.S. child welfare policymaking interventions. This article builds on the knowledge base to determine the factors that best predict a witness' level of influence in federal child welfare policymaking. This content analysis of 150 randomly selected congressional child welfare hearings testimonies from the 10-year period covered by the 106th–110th Congresses (1999–2008) uses a binary logistic regression model. Researchers found that witness affiliation and the Congress in which the witness submitted testimony were significant predictors of a witness' level of influence. The political ideology of Congressional leadership and the committee to which the testimony was submitted were not significantly associated with a witness' level of influence. The article concludes with implications for research and practice.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
