Mathematica is designing an evaluation framework and pilot data system that would enhance the National Science Foundation’s ability to monitor the Research Experiences for Undergraduates program and to conduct evaluations with increasing level of rigor in the future.
- Survey design and administration
- Interviewer training
- Survey data collection
- Qualitative interviews and focus groups
- School Choice and Charters
- College and Career Readiness
- Youth Employment
Lisbeth Goble has expertise developing and administering surveys, drafting interview protocols, conducting qualitative interviews, and analyzing data for both labor and education projects.
Goble manages data collection across grade levels in schools and leads survey and data collection activities for labor evaluations. She served as the survey director for evaluations of the Knowledge Is Power Program charter schools as well as the Bill & Melinda Gates Foundation District-Charter Collaboration Evaluation. She was the implementation task leader for a study of a competency-based information technology curriculum model for adults and played a key role on an evaluation of YouthBuild, administering the grantee survey and developing strategies for retaining the youth sample across multiple rounds of data collection. Currently, Goble is survey director for an evaluation of Youth CareerConnect, which encourages school districts, institutions of higher education, the workforce investment system, and their partners to scale up evidence-based high school models, overseeing all data collection as well as design and administration of parent and student surveys.
Goble, who joined Mathematica in 2010, is a member of the American Sociological Association and the American Educational Research Association. She has a Ph.D. in human development and social policy from Northwestern University.
Research Experiences for Undergraduates: Developing an Evaluation Framework and Pilot-Testing a Longitudinal Tracking System
In the School Choice Era, Making Shopping for Schools Easier
This project is running an experiment to learn how best to curate and present school choice data so that it is easy to use and understand and leads to smart choices.