Yange Xue

Yange Xue

Senior Researcher
Areas of Expertise
  • Early childhood education
  • Statistical methods
  • Large-scale data set analysis
Topics
  • Early Childhood
  • Child Development
  • Health
  • Data Analytics
About Yange

Yange Xue has experience in child development and early childhood education evaluations, including assessments of programs for disadvantaged and at-risk children and families. She has expertise in advanced statistical methodologies and extensive experience in leading and conducting secondary data analyses and designing and implementing complex analyses of large-scale data sets.

Xue’s research has included some of Mathematica’s signature studies in early education, including the First 5 LA/Los Angeles Universal Preschool Child Outcomes Study, the Head Start Family and Child Experiences Survey, the Early Head Start Family and Child Experiences Survey (Baby FACES) 2009, and the Measurement Development Quality of Caregiver-Child Interactions for Infants and Toddlers project. She is currently a co-principal investigator for Baby FACES 2017, a five-year descriptive study of Early Head Start programs and families. She also leads the data analysis task for the Early Childhood Development Secondary Data Analysis Project, a study designed to expand the knowledge base of early childhood development and programs, and First 5 LA Comprehensive Professional Development Evaluation project, a longitudinal evaluation of six professional development programs for early childhood educators.

Xue, who joined Mathematica in 2007, is a peer reviewer for numerous publications, including the American Educational Research Journal, Child Development, Early Childhood Research Quarterly, and the Journal of Emotional and Behavioral Disorders. She holds a Ph.D. in early childhood education from the University of Michigan.

Key Projects
  • woman playing with young boy
    Early Head Start Research and Evaluation

    The program promotes learning and the parenting that supports it within the first three years of life. Participating children performed significantly better in cognitive, language, and social-emotional development than their peers who did not participate.

  • Universal Preschool Child Outcomes Study (UPCOS)

    The Los Angeles Universal Preschool (LAUP) was created to increase the number of preschool slots available in the most underserved Los Angeles' communities. Since 2007, Mathematica has conducted this study to provide descriptive information about the diverse population LAUP serves.