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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.
Stanford Graduate School of Education • Stanford, California
Teaching and conducting research in statistical methods for educational assessment.
University of Chicago • Chicago, Illinois
Conducted research and taught courses in educational research methods.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.