Courses within the program are selected from offerings of Measurement, Statistics and Evaluation program and other departments of the University. A program for a student will be structured to take into account the background and future aims of the individual. There is a common core of courses comprised of:
EDMS 623 Applied Measurement: Issues and Practices (3)
EDMS 626 Instrumentation (3)
EDMS 646 General Linear Models I (3)
EDMS 647 Causal Inference and Evaluation Methods (3)
EDMS 651 General Linear Models II (3)
EDMS 655 Introduction to Multilevel Modeling (3)
EDMS 657 Exploratory Latent and Composite Variable Methods (3)
EDMS 722 Structural Modeling (3)
EDMS 724 Modern Measurement Theory (3)
EDMS 779 Mathematical Foundations and Simulation Techniques (3)
EDMS 787 Bayesian Inference and Analysis (3)
EDMS 899 Doctoral Dissertation Research (12)
In addition, at least 21 credits of elective courses must be selected in consultation with the student's advisor. A minimum of 30 credit hours (including EDMS 899) must be taken following admission.
In addition to courses, students must complete a doctoral preliminary examination and a doctoral comprehensive examination and are expected to participate in research and publication. A faculty advisor may require courses beyond those specified in this document. The EDMS Program does not offer the Doctor of Education (Ed.D.) degree.
The many and varied professional interests of faculty members provide opportunities for presentations of research reports by students as well as faculty. Recent presentations by students have dealt with a variety of original research topics, in such areas as applied statistics, modeling of traits, test construction, test evaluation, and survey research.
If the above program interests you, contact one of the EDMS faculty members or:
- Dr. Gregory R. Hancock, Program Director
-
EDMS, Benjamin Building, Room 1230D - University of Maryland
- College Park, MD 20742-1115
- Phone: 301.405.3621 Fax: 301.314.9245 ghancock@umd.edu