Dr. David Rogosa

Associate Professor

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Biography

David Rogosa is an Associate Professor Emeritus at the Stanford Graduate School of Education, where he has focused his research on developing and applying statistical methods critical to educational research. His current work emphasizes statistical issues related to educational assessment and accountability. Rogosa has a prolific publication record, particularly in longitudinal research that examines learning and development, as well as statistical methods for analyzing behavioral observation data. He served as a faculty member at Stanford since 1980 and was previously an Assistant Professor at the University of Chicago from 1977 to 1980. Rogosa holds a PhD in Mathematical Methods for Educational Research from Stanford University and has earned both an MS in Statistics and a BA from Princeton University. His scholarly interests also include assessment, testing, and measurement research methods in the context of educational statistics.

Research Interests

Experience

Associate Professor

1980-01-01 — Present

Stanford Graduate School of Education • Stanford, California

Teaching and conducting research in statistical methods for educational assessment.

Assistant Professor

1977-01-01 — 1980-01-01

University of Chicago • Chicago, Illinois

Conducted research and taught courses in educational research methods.

Courses

EDUC 480 EDUC 180 EDUC 490 EDUC 190 EDUC 140 EDUC 185 EDUC 470 EDUC 380

Requirements for Stanford University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:26
Reading
Required:26
Writing
Required:26
Speaking
Required:26
Total
Required:100
GRE General
Verbal
Required:160
Quantitative
Required:165
Analytical Writing
Required:4.5
Overall
Required:4.5
Prerequisites
Bachelor degree from an accredited institution Strong background in mathematics and programming
Application Checklist
  • Statement of Purpose
  • Three letters of recommendation
  • Official transcripts
  • Resume/CV
Specialization Notes

The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.