The use of model based recursive partitioning as an analytic tool in child welfare.
Child welfare agencies are tasked with investigating allegations of child maltreatment and intervening when necessary. Researchers are turning to the field of predictive analytics to optimize data analysis and data-driven decision making. This paper examines the utility of statistical algorithms in predictive analytics.

