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Using time-series analysis to evaluate the impact of policy initiatives in child welfareby: Vicky N. Albert
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AbstractThis paper discusses how a unique outcome evaluation approach was applied in the field of child welfare. This time-series approach was used to analyze the impact of Senate Bill 2669 (SB2669), commonly known as the Presely Bill, on child maltreatment reports. California's Presely Bill requires California's counties to identify and intervene in cases involving perinatal substance use or exposure. It also requires that cases not be reported as suspected abuse or neglect solely because of a positive toxicology screen. The paper describes the factors that influenced the researchers’ decisions concerning the method of evaluation and the selection of outcome and exogenous measures. Recommendations are made that can be useful to stakeholders, including policy makers and social service administrators that would facilitate the implementation of evaluations of this sort. Some of the recommendations include designing social policy objectives which are justified on the basis of social science findings and developing useful and credible databases which provide uniform and detailed information about children's experiences in the child welfare system.
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