Mathematica is conducting a rigorous, mixed-method evaluation of multifaceted, scalable community-based initiatives in five Washington state communities that seek to prevent adverse childhood experiences.
Understanding the risk factors children face helps strengthen the work of agencies and programs. Mathematica contributes to these efforts by advancing research on child welfare programs. We work across a range of issues to provide expertise on the design of child abuse and neglect studies, evaluation technical assistance for homelessness prevention efforts, and data-driven evaluations of home visiting and other programs. For ACF, we are conducting a participatory and utilization-focused cross-site evaluation by identifying strategies for adopting, implementing, and sustaining evidence-based home visiting programs to prevent child maltreatment. Also for ACF, we are participating in a multi-site randomized trial evaluation of state grants to fund home visiting services for families with pregnant women and children ages birth to 5, in addition to developing design options for future studies to improve monitoring and assessment of child abuse reporting. Read more about our child welfare work.
Evaluating Community-Based Family Support Networks to Reduce Adverse Childhood Experiences
Supporting Evidence-Based Home Visiting Programs to Prevent Child Maltreatment
This national cross-site evaluation was designed to (1) examine the degree to which system change occurred, (2) document the fidelity with which the program models were implemented, and (3) identify implementation strategies and challenges.
Promoting Safe and Stable Families: Regional Partnership Grants National Cross-Site Evaluation
Mathematica is conducting a cross-site evaluation and providing evaluation technical assistance to partnerships that are working with families in which children are at risk for maltreatment due to a parent or caretaker’s potential substance use dependence.
Design Options for Understanding Child Maltreatment Incidence
This project will result in a set of rigorous and creative design options to address critical research questions and improve ongoing surveillance of child abuse and neglect as well as related risk factors.
Building Capacity to Evaluate Interventions for Youth with Child Welfare Involvement at Risk of Homelessness
ACF funded 18 grantees to develop and test comprehensive programs to reduce homelessness among former foster youth. Mathematica provided evaluation technical assistance to grantees, assisted with testing the interventions, and conducted a process study.
Building Capacity to Evaluate Interventions for Youth with Child Welfare Involvement at Risk of Homelessness: Phase II
Mathematica is guiding usability testing, formative evaluation, and summary evaluation prep for grantees developing comprehensive and innovative programs to support at-risk youth in making a successful transition to independent adult life.
Human Services for Low-Income and At-Risk LGBT Populations: Identifying the Knowledge Base and Developing a Research Agenda
Research indicates that lesbian, gay, bisexual, and transgender (LGBT) populations can face disproportionate risks to their economic and social well-being, yet much remains unknown about the needs of these populations and whether federal human service programs are equipped to meet them. Mathematica Policy...
How Effective Is Home Visiting?
The Home Visiting Evidence of Effectiveness study is a thorough and transparent review of the home visiting research literature and an assessment of the evidence of effectiveness for home visiting programs that serve families with pregnant women and children from birth to age 5.
Housing for Youth Aging Out of Foster Care
This project focused on public resources and policies that can help prevent or mitigate homelessness among this population. The project included a focus on how communities are utilizing Family Unification Program (FUP) vouchers to serve these youth.