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Abstract

Admissions Information

Application Deadlines

Degree Requirements

Facilities

Financial Assistance

Contact

Website

Courses

Keywords

Faculty

Professor

Hancock, Gregory R., Full Member

Associate Professor

Harring, Jeffrey R., Full Member

Jiao, Hong, Full Member

Stapleton, Laura, Full Member

Assistant Professor

Sweet, Tracy Morrison, Full Member

Yang, Ji Seung, Full Member

University Affiliate

Coulson, Douglas, Adjunct Member

Fidelman, Carolyn, Adjunct Member

Kroopnick, Marc, Adjunct Member

Rupp, Andre, Full Member

Yumoto, Futoshi, Adjunct Member

Professor Emeritus

Dayton, C. Mitchell, Full Member

Lissitz, Robert W., Full Member

Macready, George B., Full Member

Mislevy, Robert J., Full Member

Schafer, William D., Full Member

More EDMS Faculty Information




Measurement, Statistics and Evaluation (EDMS)   

Program Title and Classification

Measurement, Statistics and Evaluation

Graduate Degree Program

College: Education

Abstract

Measurement, Statistics and Evaluation offers graduate study leading to the Master of Arts 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.

Admissions Information

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.

  1. GRE General Test
  2. Three Letters of Recommendation
  3. Statement of Goals and Research Interests
  4. Previous College Transcripts
  5. TOEFL Scores for Non-native Speakers of English

Application Deadlines

Type of Applicant FallSpring
Domestic Applicants:
US Citizens and Permanent Residents
1 Mar (Final) / 1 Dec (Preferred)30 Sep (Final) / 30 Aug (Preferred)
International Applicants:
F (student) or J (exchange visitor) visas
A,E,G,H,I and L visas and immigrants.
1 Feb (Final) / 15 Nov (Preferred)30 Sep (Final) / 30 Aug (Preferred)


Other Deadlines: Please visit the program website at http://www.education.umd.edu/Academics/Departments/HDQM/academic/degreePrograms/mseval.html

Degree Requirements

Certificate of Advanced Study (C.A.S.)

The Certificate in Measurement, Statistics and Evaluation is designed to provide advanced training in quantitative methods for graduate students majoring in other doctoral programs. The certificate requires a minimum of 21 graduate credit hours. In addition, an advisor must be selected from members of the Measurement, Statistics and Evaluation faculty.

 

Master of Education (M.Ed.)

The M.Ed. option is not currently offered.

 

Master of Arts (M.A.)

Total CreditsCore Requirements

Thesis or Non-thesis option: 30 credits required

Core courses:

EDMS 623: Applied Measurement: Issues and Practices (3 credits)

EDMS 646: General Linear Models I (3 credits)

EDMS 647: Causal Inference and Evaluation Methods (3 credits)

EDMS 651: General Linear Models II (3 credits)

EDMS 655: Introduction to Multilevel Modeling (3 credits)

EDMS 657: Exploratory Latent and Composite Variable Methods (3 credits)

EDMS 724: Modern Measurement Theory (3 credits)

Thesis option:

EDMS 799: Master's Thesis Research (6 credits)

Elective (3 credits)

Non-thesis option:

Electives (9 credits)

 

The Measurement, Statistics and Evaluation M.A. degree program requires a minimum of 30 credit hours. Both thesis and non-thesis options are available. A written comprehensive examination is required for both options and a research paper is required for the non-thesis option. 

 

Doctor of Philosophy (Ph.D.)

Core Requirements

Doctoral students are required to complete 66 credits including 12 credits of EDMS 899: Doctoral Dissertation Research and 21 credits of electives.

Required courses:

EDMS 623: Applied Measurement: Issues and Practices (3 credits)

EDMS 626: Instrumentation (3 credits)

EDMS 646: General Linear Models I (3 credits)

EDMS 647: Causal Inference and Evaluation Methods (3 credits)

EDMS 651: General Linear Models II (3 credits)

EDMS 655: Introduction to Multilevel Modeling (3 credits)

EDMS 657: Exploratory Latent and Composite Variable Methods (3 credits)

EDMS 722: Structural Modeling (3 credits)

EDMS 724: Modern Measurement Theory (3 credits)

EDMS 779: Seminar in Applied Statistics (3 credits)

EDMS 787: Bayesian Inference and Analysis (3 credits)

 

The Ph.D. program requires both preliminary and comprehensive examinations; the comprehensive examination is designed to assess broad, integrated understanding as well as the student's specialization. All students are expected to engage in research. Measurement, Statistics and Evaluation does not currently offer the Ed.D. degree.

 

Facilities and Special Resources

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.

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 Statement

For additional information and application procedures, please visit our web site: www.education.umd.edu/EDMS/

Website

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

Contacts

Jannitta Graham, Graduate Coordinator

3304 Benjamin BuildingUniversity of MarylandCollege Park

MD, 20742

Telephone: (301) 405-8432

Fax: (301) 405-2891

jgraham7@umd.edu

 

Associated Information

Courses

EDMS

Keywords

Doctoral students may emphasize areas such as Applied Statistics, Psychometrics, or Program Evaluation. Graduates teach at the university/college level, do original methodological research and serve as specialists in school systems, industry or government. The Master's program provides students with the data management, analysis, assessment and computer skills to serve as research associates.