Dr. Nedim Yel — Lead Statistician, DASS
Dr. Nedim Yel
Co-Founder & Lead Statistician

Dr. Nedim Yel

Nedim has a PhD in psychometrics and more than 15 years of experience in NSF-, IES- and foundation-funded research, from randomized trials across 22 colleges to school accountability, access to justice and health-system studies. He is a Harvard Strategic Data Fellow, and today also works as a Senior Data Scientist building AI products.

His methods work centers on measurement and multilevel data: validating scales, modeling growth in nested and longitudinal designs, and planning sample sizes that hold up to a methods reviewer. His doctoral research at Arizona State University examined sample sizes in longitudinal three-level models. In health research, he has worked on multi-site programs built on electronic health records, including the VA and American Heart Association's VALOR-QI program, published in JACC: Advances.

At DASS he leads the statistical work on client projects and the firm's free tools, including the power calculators, the APA results formatters and the AI-evaluation model-comparison calculator.

Areas of expertise

Measurement & psychometrics
Scale development and validation, factor analysis, item response theory, dimensionality.
Multilevel & longitudinal models
Students in schools, patients in clinics, repeated measures over time, and the sample sizes they need.
Program & policy evaluation
Randomized and quasi-experimental designs, from school interventions to access-to-justice research.
Health research
Outcomes analysis and reporting for multi-site health-system programs using electronic health records.
AI evaluation
Evaluation design, uncertainty and model comparison for AI and LLM products.
Power & study design
Sample-size planning for trials, cluster-randomized and multilevel studies.

Roles, partnerships and grants

  • Peer reviewer, Statistics and Modeling panel, Institute of Education Sciences (FY2021–FY2024, reappointed for FY2025–FY2028), reviewing federal education research grant applications.
  • Senior Statistician/Researcher, Rutgers Center for Effective School Practices (CESP), where DASS is a partner organization.
  • Consulting Statistician, Equity Accelerator, which helps colleges and workplaces build more equitable learning and working environments.
  • Statistical analysis consultant (key personnel), Smooth Sailing: an IES-funded randomized controlled trial ($3.6M, 2023–2028) of a professional-development program that helps general-education teachers build strong relationships with their autistic students.
  • Strategic Data Project Fellow (Harvard Center for Education Policy Research) and Senior Data Scientist, California Department of Education: geocoded nearly four million student addresses in R and linked them to federal broadband maps to show where students lacked home internet during the pandemic, an analysis that Harvard’s Strategic Data Project credits with informing California’s response to the digital divide. The same effort included the California Digital Divide Innovation Challenge, a $1 million global competition for ways to expand broadband access.
  • Co-Principal Investigator, Project PRIME2 (Institute of Education Sciences, $3.7M), with Melissa Collier-Meek and Lisa Sanetti: a federal trial helping educators plan, implement and maintain evidence-based interventions (grant announcement). Its randomized-trial and single-case study plans are preregistered on the Open Science Framework.
  • Longitudinal analysis and data management, National Center on Assessment and Accountability for Special Education (Institute of Education Sciences, $11.7M), including technical reports comparing school-performance models across four state accountability systems (center publications).

Selected publications

Health research

Plus five conference abstracts on VALOR-QI outcomes in Circulation (2024, 2026) and the European Heart Journal (2025).

Measurement, psychometrics and methods

Evaluation, law and policy

Psychology and wellbeing

Full list on Google Scholar and ORCID.

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