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.
Ashley Kopack Klein
- Early Childhood Education
- Training in Child Assessments and Observational Measures
- Head Start
- Early Childhood
- Child Development
- Quality Measurement
- Professional Development
Ashley Kopack Klein is a survey researcher who focuses on early childhood. Her experience includes training in child assessments, observational measures, and data use; creating professional development tools for early childhood educators; and developing measures.
Since joining Mathematica in 2009, Kopack Klein has worked on a range of projects in early childhood and education. Currently, she serves as the deputy project director for the Head Start Family and Child Experiences Survey 2019 (FACES 2019), a nationally representative study of Head Start programs, classrooms, children, and families. She also serves as the deputy project director for American Indian and Alaska Native FACES 2019 (AI/AN FACES 2019), a nationally representative study of Region XI AI/AN Head Start programs in tribal communities. In addition, she directs a project focused on responding to data users’ questions about the FACES and AI/AN FACES studies. She helped develop a child care observation tool, the Quality of Caregiver-Child Interactions for Infants and Toddlers (Q-CCIIT), to fill a gap in the availability of measures appropriate for assessing the quality of interactions between non-parental caregivers and infants and toddlers in child care settings. Since the development of the Q-CCIIT, there has been growing interest in its use. Kopack Klein currently directs the project Supporting the Sustainability of the Q-CCIIT Observation Tool (Q-CCIIT Forward), which aims to support the sustainability and dissemination of the Q-CCIIT.
Kopack Klein holds an M.A. in sociology from the Catholic University of America.
American Indian and Alaska Native Head Start Family and Child Experiences Survey (AI/AN FACES)
Head Start: The Family and Child Experiences Survey (FACES)
Mathematica conducted the 2006 and 2009 FACES studies, and, for the most recent studies (2014-2018 and 2019), redesigned FACES to provide key data more rapidly and with greater frequency and to help researchers examine more complex issues and topics in greater detail and efficiency.
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.