Dr. Karen Draney

Associate Professor

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Biography

Karen Draney is an adjunct associate professor at the Berkeley School of Education and co-director of the Berkeley Evaluation Assessment Research (BEAR) Center. She teaches graduate courses in introductory data analysis and undergraduate courses on standardized testing issues in U.S. schools. Draney’s research emphasizes the development of formative and summative assessments based on constructs of learning progressions, and she utilizes Item Response Theory (IRT) to provide actionable information for teachers, parents, and schools. She received her PhD in Education from the University of California, Berkeley in 1996, and her dissertation focused on the polytomous saltus model, which applies a mixture model approach to diagnose developmental differences. Her work has earned recognition, including an award from the American Psychological Association's Division 5 for her dissertation. Draney’s academic interests cover various topics within social research methodologies, focusing on how assessment impacts educational practices.

Research Interests

Experience

Co-Director

1996-01-01 — Present

Berkeley Evaluation Assessment Research Center • Berkeley, CA

Adjunct Associate Professor

1996-01-01 — Present

Berkeley School of Education • Berkeley, CA

Teaches graduate courses in data analysis and undergraduate courses on standardized testing.

Requirements for University of California, Berkeley

Doctorate Program
Requirements
GPA Requirement
Required:3
GRE Subject
Overall Score
Required:500
Overall
Required:500
TOEFL
Total
Required:90
IELTS
Overall
Required:7
Prerequisites
Bachelor's degree or recognized equivalent Preparation comparable to undergraduate major at Berkeley in Mathematics or Applied Mathematics 2 full years lower-division work (Calculus, Linear Algebra, Differential Equations, Multivariable Calculus) 8 one-semester upper-division courses (Real Analysis, Complex Analysis, Abstract Algebra, Linear Algebra)
Application Checklist
  • Graduate Application
  • Statement of Purpose
  • Personal History Statement
  • Three Letters of Recommendation
  • Unofficial Transcripts
  • C.V./Resume
  • Course and Textbook List
Specialization Notes

The Mathematics Subject GRE is required for the Fall 2026 admissions cycle. General GRE is optional.