The Measurement, Statistics, & Evaluation Ph.D. program is designed to qualify individuals to teach courses at the university level in applied measurement, statistics, and evaluation, to provide leadership in the conduct of research studies, and to serve as applied statistics, measurement, or evaluation specialists in school systems, industry and government.

Go to graduate admission requirements page for more information. Select an area of interest from the various offerings in the College of Education to determine the admission requirements and deadlines. 

Please refer to the Guide to Applying for instructions on how to apply for graduate admission. If you have questions or concerns, we ask you to first review our list of Frequently Asked Questions.  International applicants should visit the International admissions webpage for additional information.  For questions about the application process, or to check on the completion of your application please contact:

Judy Foster, Coordinator of Graduate Admissions
Office of Student Services, College of Education
(301) 405-2359                  

After you apply for graduate admission you may check your application status by logging into the online graduate application using your user name and password.  Graduate faculty in the Academic Department you applied to will review your completed application for graduate admission.  Questions regarding application reviews and decision recommendations should be directed to the Department of Human Development and Quantitative Methodology (HDQM).  Please contact:

Jannitta Graham, Coordinator of Graduate Studies
Human Development and Quantitative Methodology
(301) 405-2827

Please contact the Dr. Gregory Hancock, or (301) 405-3621.

Academic advisement for graduate students is provided by the graduate faculty in the Department of Human Development and Quantitative Methodology (HDQM).   For advising information, please contact the Coordinator of Graduate Studies, Jannitta Graham at (301) 405-8384 or

Visit the Graduate School Fellowship and Graduate Assistantship web page for additional funding opportunities 

For information about other student financial aid, review the Office of the Student Financial Aid website.

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

Academic deadlines are provided by the Office of the Registrar for the academic year.  

Students should check with their Department or Program for any deadlines it may have.  Please contact:

Jannitta Graham, Coordinator of Graduate Studies
Human Development and Quantitative Methodology
(301) 405-8432

Gregory R. Hancock, Professor and Program Director
UM Distinguished Scholar-Teacher
1230D Benjamin Building
(301) 405-3621 |

Jeffrey Harring, Professor
1230E Benjamin Building
(301) 405-3630 |

Hong Jiao, Associate Professor
1230C Benjamin Building
(301) 405-3627 |

Yang Liu, Assistant Professor
1230B Benjamin Building
(301) 314-1126 |

Laura Stapleton, Professor
1230A Benjamin Building
(301) 405-1933 |

Tracy Sweet, Assistant Professor
1229 Benjamin Building
(301) 405-3623 |

Ji Seung Yang, Assistant Professor
1225 Benjamin Building
(301) 405-6073 |

Graduate students in the College of Education are responsible for meeting University and the Graduate School policy, and for meeting Program requirements.   The Graduate Catalog  is the official listing of Policies governing graduate education at the University of Maryland.  The schedule adjustment policy is available from the Office of the Registrar and provides information on adding and dropping courses, penalties, and refund schedules.


The Graduate Student Life Handbook provides information on academics, campus resources, finances, health, job opportunities, and information on how to get involved as a graduate student. 


Graduate students are required to submit various forms at specific points in the program and as part of the degree clearance process. To determine the steps and forms that are required, visit the following link "Graduate Studies forms"