PubMed · 2008 · 27 citations · 0 references
Social SciencesSocial PolicySocial WorkChild PolicyChild WelfareWelfare PolicyChild ProtectionChild Welfare AdministrationChild Welfare PolicyChild Welfare PracticeChild Welfare SystemsRacial StratificationBinary Logistic RegressionChild Protection PlacementChild Welfare Decision-makingDecision Point DesignLogistic RegressionNested Model TestingPolicy Decision PointsStatistical Disparity Analysis
Minnesota has been recognized by several studies as a state with a significant amount of racial disparity in its child protection system. This study, using 2001 data from Minnesota's Social Services Information Service, was conducted to determine at which of the six decision points in Minnesota's child welfare system racial disparities are statistically significant. The authors employ a nested model to examine a child's journey through the Minnesota child protection system. Using binary logistic regression, they are able to determine the odds that a child belonging to a particular racial or ethnic group would progress to the next decision point.