About the Evaluator
Dr. Namrata Patel is the Founder and Principal Researcher at Research for Social Impact (RSI), partnering with higher education institutions, nonprofits, and foundations across the country to strengthen programs and systems serving students and educators. Since 2008, she has conducted over 60 research and evaluation studies, including projects funded by the National Science Foundation and the US Department of Education, and has partnered with 90 postsecondary institutions nationwide. Her expertise spans formative, summative, and developmental evaluation logic models and theory-of-change development, mixed-methods, quasi-experimental, and randomized control designs, and program co-design. Dr. Patel holds a Ph.D., M.A., and B.A. in Psychology, with formal training in evaluation practice. She approaches her work collaboratively, responsively, and grounded in authentic partnership. In addition to leading RSI, she teaches Research Methods in Psychology at a California community college.
Evaluation Background
I specialize in...
- Qualitative methods
- Quantitative methods
- Mixed methods
- Culturally responsive evaluation
- Developmental evaluation
- Participatory evaluation approaches
- Utilization-focused evaluation
I have worked with projects in the areas of:
- ATE projects
- NSF projects other than ATE (e.g., IUSE, S-STEM, AISL, HSI, ADVANCE)
- Projects at two-year colleges
- STEM education projects supported by funder other than NSF
Training and Certifications
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Graduate coursework in evaluation
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Professional development workshops, webinars, or online courses on evaluation
Outside of Work, I enjoy...
…losing myself in a good novel, cooking, and exploring new places with my husband and daughter.
A Successful Evaluation...
…answers the questions that matter most to a project’s stakeholders, in time for that information to be useful.
My Working Style...
…is collaborative, responsive, and grounded in listening. I work closely with project teams throughout the evaluation so findings are practical, timely, and genuinely useful for decision-making.
EvaluATE is supported by the National Science Foundation under grant number 2332143. Any opinions, findings, and conclusions or recommendations expressed on this site are those of the authors and do not necessarily reflect the views of the National Science Foundation.