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.
Notes
aOverall model: χ2(8) = 102.127, p < .001.
bGoodness of fit: −2LL = 568.707; χ2(7) = 4.79, p = .686.
*p < .05;
**p < .01.