Measurement, Statistics and Evaluation (EDMS)

Graduate Degree Program
College: Education

Abstract

Measurement, Statistics and Evaluation offers graduate study leading to the Master of Science or Doctor of Philosophy degrees for students with strong interests in research methods and their applications. Students pursuing Doctoral degrees in other programs may enroll in a dual degree program leading to the Master's degree in Measurement, Statistics and Evaluation, or there is also a 21-credit certificate program for doctoral students. For select undergraduates, there is a five-year Bachelor's/Master's program in Measurement, Statistics and Evaluation. Please note that for those PhD applicants who are hoping to receive a funding offer, you should adhere to the preferred deadlines on the program website and not the deadlines listed below.

Financial Assistance

Graduate teaching assistantships, research assistantships, and fellowships are available. The Department can usually aid students in locating part-time employment opportunities, both on and off campus, as well as providing funding from its own contracts and grants.

Contact

Jannitta Graham
Graduate Coordinator
Department of Human Development and Quantitative Methodology

3304 Benjamin Building
3942 Campus Drive
University of Maryland
College Park, MD 20742
Telephone: 301.405.8432
Fax: 301.405.2891
Email: jgraham7@umd.edu

Website: http://www.education.umd.edu/Academics/Departments/HDQM/academic/degreePrograms/mseval.html
 
Courses: EDMS.

General Requirements

Program-Specific Requirements

  • Letters of Recommendation (3)
  • Graduate Record Examination (GRE) 
  • CV/Resume
  • Writing Sample

In addition to Graduate School requirements, admission decisions are based on the quality of previous undergraduate and graduate work, strength of letters of recommendation from persons competent to judge the applicant's likelihood of success in graduate school, scores on the Graduate Record Examination, and the applicant's statement of academic and career objectives in relation to the program of study to be pursued. Students who seek admission should display strong evidence of aptitude and interest in quantitative methods. Programs of study may be designed to meet the individual needs of both full-time and part-time students since many courses are offered in the late afternoon or evening.

Application Deadlines

Type of Applicant Fall Deadline Spring Deadline
Domestic Applicants
US Citizens and Permanent Residents December 1, 2022 September 30, 2022
International Applicants
F (student) or J (exchange visitor) visas; A, E, G, H, I and L visas and immigrants December 1, 2022 September 30, 2022

RESOURCES AND LINKS:

Program Website: http://www.education.umd.edu/HDQM/
Application Process: gradschool.umd.edu/admissions

The Department maintains computer equipment and high performance server with up-to-date statistical software packages. The faculty are actively engaged in a large variety of basic and applied research projects and students are encouraged to become involved in these activities. The Washington and Baltimore areas have numerous organizations that provide opportunities to become involved in projects that have national importance.

Last Name First/Middle Name Graduate Faculty Status Academic Credentials Positions
Hancock Gregory R. Full Member B.S., University of Washington, 1986; B.S., 1986; Secondary Teaching Certificate, 1987; M.Ed., 1989; Ph.D., 1991. Professor, Measurement, Statistics and Evaluation
Harring Jeffrey R. Full Member B.A., Macalester College, 1986; M.S., University of Minnesota-Twin Cities, 2004; Ph.D., University of Minnesota-Twin Cities, 2005. Professor, Measurement, Statistics and Evaluation
Jiao Hong Full Member B.S., Shanghai Jiaotong University, 1989; M.A., Shanghai Jiaotong University, 1992; Ph.D., Florida State University, 2003. Professor, Measurement, Statistics and Evaluation
Lissitz Robert W. Full Member B.A., Northwestern University,1963; Ph.D., Syracuse University, 1969. Professor Emeritus, Measurement, Statistics and Evaluation
Affiliate Professor, Second Language Acquisition
Liu Yang Full Member B.S. Psychology, Peking University; M.A. Psychology, University of North Carolina, Chapel Hill; M.S. Statistics, University of North Carolina, Chapel Hill; Ph.D. Psychology, University of North Carolina, Chapel Hill Assistant Professor, Measurement, Statistics and Evaluation
Mislevy Robert J. Full Member B.S., M.S., Northern Illinois University, 1972, 1974; Ph.D., University of Chicago, 1981; Professor Emeritus, Measurement, Statistics and Evaluation
Stapleton Laura Full Member B.A., University of Michigan, 1988; M.Ed., George Mason University, 1992; Ph.D., University of Maryland - College Park, 2001. Professor, Measurement, Statistics and Evaluation
Steiner Peter Full Member M.Sc. Economics, University of Vienna; M.Sc. Statistics, University of Vienna; Ph.D. Statistics, University of Vienna Associate Professor, Measurement, Statistics and Evaluation
Sweet Tracy Morrison Full Member B.S. Biology, Bucknell University, May 2000; M.A. Mathematics, Morgan State University, December 2007; M.S. Statistics, Carnegie Mellon University, May 2008; Ph.D. Statistics, Carnegie Mellon University, July 2012. Associate Professor, Measurement, Statistics and Evaluation
Yang Ji Seung Full Member B.A., Yonsei University, Seoul, Korea, 2005; M.A., Yonsei University, Seoul, Korea, 2007; Ph.D., University of California, Los Angeles,Department of Education, Graduate School of Education and Information Studies, 2012. Associate Professor, Measurement, Statistics and Evaluation