Pia Caronongan

Pia Caronongan

Senior Researcher
  • Program evaluation
  • Quality rating and improvement systems
  • Early Head Start
  • Research design
Focus Areas
  • Quality Improvement
  • Early Childhood
  • Child Development
  • Quality Measurement
  • Systematic Evidence Reviews
  • Education
  • Strengthening and Disseminating Research
  • Labor: Strengthening and Disseminating Research
  • Human Services
About Pia

Pia Caronongan’s work focuses on early childhood programs and policies, particularly those targeted toward children from low-income families.

Since joining Mathematica in 2009, Caronongan has worked on a range of projects in early childhood, education, nutrition, and family support. Currently, she is the deputy project director for a study that is assessing the implementation and cost of high quality early child care and education. She led an analysis of family participation to explore how service take-up is related to child, family, staff, and program characteristics for the Early Head Start Family and Child Experiences Survey. Past projects include an in-depth study of how quality is defined, conceptualized, and measured in child care quality rating and improvement systems. She also conducts systematic reviews for projects such as the Learning about Infant and Toddler Early Education Services, Home Visiting Evidence of Effectiveness, and the What Works Clearinghouse. 

Caronongan is a member of the Society for Research in Child Development and the Association for Public Policy Analysis and Management. She holds an Ed.D. in quantitative policy analysis in education from Harvard University.

Key Projects
  • Home Visiting
    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.

  • Evaluating Child Care Quality Rating Systems (QRS)

    Mathematica's assessment involved gathering, analyzing, and organizing information to inform each piece of the QRS logic model. We also helped states better understand the full picture, the interactions that can occur, intended and unintended consequences of policy and implementation.

Related Case Studies
  • HomVEE Literature Review Identifies Effective Home Visiting Programs

    The 2010 Patient Protection and Affordable Care Act (ACA) allocated $1.5 billion over five years for the new Maternal, Infant and Early Childhood Home Visiting Program (MIECHV) to establish home visiting programs for at-risk pregnant women and children up to age 5. As a requirement in the law, 75 percent...