Child, Youth and Family Services: Child Welfare, Family Resource Centers, and Violence Prevention
Exploring the Relationship between the CA Paid Family Leave Program and the Well-Being of Low-Income Families
Mission Analytics is working with the Assistant Secretary for Planning and Evaluation (ASPE) to provide assistance in recruiting for and conducting focus groups with low-income mothers of young children in California who are eligible for the California Paid Family Leave (PFL) program. Through approximately four focus groups, this qualitative study seeks to explore the experiences of low-income mothers who worked prior to birth. It addresses: their knowledge about and experiences with PFL, access to other resources to support their families, actions taken related to work and childcare immediately after childbirth, attachment to work and pre-birth employers, and perceptions about use or non-use of PFL.
Family Leave and Lower Income Families Linkages between Mothers’ Return to Work Leave and Child Care
Mission Analytics is working with the Assistant Secretary for Planning and Evaluation (ASPE) to recruit and conduct approximately nine focus groups with low-income mothers with young children who participated in the Paid Family Leave (PFL) programs in California, New Jersey, and Rhode Island. To better understand factors that facilitate lower income mothers’ return to work following childbirth, this project analyzes the relationship between returns to work after childbirth, the use of PFL, and the role of formal and informal (e.g. care by family members) child care.
Family Resource Center Initiative Evaluation
Mission Analytics currently serves as the evaluator for the Family Resource Center (FRC) Initiative undertaken by the First Five Commission of the City and County of San Francisco. Implemented in 2009, the Initiative aims to improve the provision of social services to low-income San Francisco families, especially in the domain of parenting skills. Project activities include data analyses linking demographic, geographic, and participation information from the 22 funded FRCs to child welfare data. The analysis produces databooks for the each of the FRCs, an initiative-wide description of participation patterns, and an evaluation of the impact of participation on child welfare outcomes (reunification, subsequent maltreatment), parenting skills, and family risk profiles.
Planning and Evaluation for AB1326, SB701, AB833, and AB2368 for San Mateo County, San Francisco County, Alameda County, and Santa Clara County Individualized Child Care Subsidy Pilots
Mission Analytics provides planning support and evaluation for four child care pilot projects: the San Mateo County Child Care Partnership Council, the San Francisco Child Care Planning and Advisory Council, the Alameda County Early Care and Education Planning Council, and the Santa Clara County Office of Education and Local Early Education Planning Council. The pilots allow these four Counties to address two fundamental concerns: first, that families barely earning enough to meet the high cost of housing in the counties are nevertheless considered too high income to qualify for child care subsidies; and second, that the state reimbursement rates for providers contracted to provide high quality child care are so low that providers cannot cover their costs. Evaluation criteria include the retention of contracted providers, income growth and child care stability for families, and the increase in number of children served in funded child care slots.
Santa Clara County Children of Color Project and the California Partners for Permanency Project (Child Welfare)
Mission Analytics works with Santa Clara County Social Services Agency, Department of Family and Children's Services (DFCS) on the agency’s Children of Color Project (COC) and on its California Partners for Permanency Project (CAPP). The primary objectives of the Children of Color Project are 1) to explain why children of color are over-represented in the child welfare caseload in Santa Clara County, and 2) identify ways to address this disparity. The CAPP seeks to identify ways to limit children’s tenures in the child welfare caseload, and, to the extent possible, ensure that children exit the caseload for permanent placement. For both projects, Mission Analytics uses data from the California Child Welfare Services Case Management System (CWS/CMS), the Comprehensive Assessment Tool (CAT), and the CalWORKs program. For the Children of Color Project, Mission Analytics uses these data sources to model the likelihood that DFCS will substantiate an allegation of abuse, open a case after substantiating an allegation, and take a child into out of home placement. Mission Analytics uses these models to determine whether DFCS is more likely to take any of these actions with respect to children of color than for otherwise identical White children. For the CAPP, Mission Analytics uses the same data sources to identify factors that are associated with permanent placement and with the durations of placement episodes, and that DFCS can affect.
Violence Prevention and Intervention Initiative and Youth Workforce Development-High Risk Youth Evaluation
For the San Francisco Department of Children, Youth, and Their Familes (DCYF) Mission Analytics serves as the evaluator for the San Francisco Violence Prevention and Intervention Initiative and the Youth Workforce Development (High-Risk) program. The mid-period evaluation report linked data from the DCYF Contract Management System and the Juvenile Justice Information System (JJIS) for the San Francisco Juvenile Probation Department to identify the characteristics of youth and young adults served by the programs, success in reaching juvenile-justice involved youth, and outcomes in terms of job placements and subsequent contact with the juvenile justice system. The final report will expand to additional data sets, such as school district data and community behavioral health. The evaluation will draw on statistical modeling and descriptive techniques to identify the activities and combinations of activities associated with lower rates of violent behavior.