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Early care and education programs seek new strategies to improve children’s learning and development. Mathematica is a leader in studying how investments in early learning initiatives can affect children’s success in school and later life as well as family well-being. We have led the longtitudinal evaluation of Early Head Start, and continue to study the development of children served by Head Start through the FACES and Baby FACES studies, of children served by the Los Angeles universal preschool initiative (UPCOS), and of children enrolled in comprehensive educational programs sponsored by the Harlem Children’s Zone.
Developing a Policy Research Agenda for Low-Income Families with Young Children
Research shows that the earliest years of life are a critical period of human development. Young children’s earliest relationships and experiences have a strong influence on brain development and a child’s future health and well-being.
American Indian and Alaska Native Head Start Family and Child Experiences Survey (AI/AN FACES)
Mathematica conducted AI/AN FACES 2015, the first national descriptive study of children and families in Region XI Head Start programs. Again in AI/AN FACES 2019, Mathematica will assess the strengths and service needs of children and families in Region XI.
Pia Caronongan’s work focuses on early childhood programs and policies, particularly those targeted toward children from low-income families.Featured Projects
- Assessing the Implementation and Cost of High Quality Early Care and Education
- Early Head Start Family and Child Experiences Survey (Baby FACES)
- Toddlers in Early Head Start: A Portrait of 2-Year-Olds, Their Families, and the Programs Serving Them (Executive Summary)
- Early Head Start Programs Deliver a Variety of Quality Services to Families with Infants and Toddlers (In Focus Brief)
- Quality Improvement
- Early Childhood
- Child Development
- Quality Measurement
- Systematic Evidence Reviews
- Strengthening and Disseminating Research
- Labor: Strengthening and Disseminating Research
- Human Services