Methods: When reviewing the research used to link racial and ethnic disparity in the use of foster care to causal explanations, four challenges need the attention of researchers and advocates alike. They are model specification, the fallacies of causal reasoning, ecological inference in child protection research, and identification. For each of the issues raised, we demonstrate the importance of aligning the question being asked with the measure being used. We also show how the failure to pay close attention to the measurement challenges undermines the role of science as a tool for achieving greater equity.
Results: The results are organized into three clusters. First, we draw on the distinction between proportions, probabilities, and rates to highlight how foster care placement differences are measured. Efforts to connect causes to differences in the experience of Black children and White children with the foster care system have to respect the research question behind each measure. Having established those distinctions, we use a thought experiment to show how proportions and rates are used to answer a fundamental policy question: if we invest in services to bring greater equity to the foster care system, which measure provides us with the clearest view of success. We show why disproportionality and disparity have limited probative value. We close the first paper with a measurement approach that overcomes the challenges we describe.
Conclusions and implications: Regardless of how one conceptualizes a more just child welfare system, no matter what the new system is called, the family and child-serving system that emerges from the next round of reforms will propose both new structures and new processes. Among other concerns, public policy involves choosing between the structures and processes that work as intended versus those that do not. If we have to choose, how will we know the difference? Using what measures? What evidence will we use to substantiate the claim that, the solutions we applied to the problem of placement disparity worked? In the first paper, we outline the issues and propose a remedy that gives policy-makers and social scientists a robust evaluation strategy.