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- Evaluations of Early Childhood, K–12, and Postsecondary Education Interventions
- Quantitative Data Analysis
- Research Design
- Mixed-Methods Research
- K–12 Education
- Early Childhood
- Systematic Evidence Reviews
- College and Career Readiness
- Strengthening and Disseminating Research
- Labor: Strengthening and Disseminating Research
- Human Services
Jaime Thomas studies the effects of early childhood, K–12, and postsecondary education interventions on children and students, their families, and their communities. She has an extensive background in econometrics, with expertise in experimental and nonexperimental study designs, methods for addressing missing data, and mixed-methods research.
Thomas has directed several early childhood, K–12, and postsecondary education projects, including studies of informal child care in California and Detroit, an Investing in Innovation (i3) evaluation of an early math intervention, and an evaluation of expanded Pell grant eligibility. In addition, Thomas serves as principal investigator for the Clearinghouse for Labor Evaluation and Research, an initiative of the U.S. Department of Labor to develop a central and trusted resource on the effectiveness of employment programs. She has played a key role in many other projects, including the National Descriptive Study of Early Head Start-Child Care Partnerships, the Impact Evaluation of Race to the Top and School Improvement Grants, the Early Head Start Family and Child Experiences Survey, and systematic reviews for the U.S. Department of Education and other agencies.
Before joining Mathematica in 2010, Thomas held teaching positions at the University of California, San Diego; taught and created English language learning curriculum for the Japan Exchange and Teaching Program; and worked as a clinician at Lindamood-Bell Learning Processes. She is a reviewer for several academic journals, including Evaluation Review, and has served as a member of the Association for Public Policy Analysis and Management, the American Economic Association, the Society for Research on Educational Effectiveness, the Association for Education Finance and Policy, and the Society for Research in Child Development. She holds a Ph.D. in economics from the University of California, San Diego.
Informal Child Care in Detroit
Detroit’s Early Childhood Partnership initiative was designed to reduce vulnerabilities caused by economic and social inequity through community engagement, stakeholder collaboration, and research. Mathematica conducted a review of the informal child care landscape in Detroit.
Learning About Infant and Toddler Early Education Services (LITES): Identifying What Works
This project sought to identify effective models of early care and education services for infants and toddlers by reviewing the evidence on current and emerging programs.
Evaluating Race to the Top and School Improvement Grants
In this study of more than 500 schools, 60 districts, and all 50 states and the District of Columbia, Mathematica is conducting an implementation and impact analysis of Race To the Top and School Improvement Grants, two programs that aim to foster systematic school reform.
Early Learning Strategy: Informal Caregivers Research Project
Mathematica's study for the Packard Foundation is identifying caregivers who provide informal child care in California, learning about their needs for support, and evaluating promising approaches to enhance the quality of children’s experiences in these settings.
Clearinghouse for Labor Evaluation and Research (CLEAR)
CLEAR’s mission is to make research on labor topics more accessible to practitioners, policymakers, researchers, and the general public so that it can inform their decisions about labor policies and programs.