The curriculum of the M.S. Ed. in RME is structured around three components: (A) a core set of 24 credits (8 courses of 3 credits each) of required coursework covering the fundamentals of research design, measurement, and statistical analysis; (B) 6 credits of elective course-work; and (C) a comprehensive exam occurring upon the completion of the 24 credits of required coursework. The specific details of the curriculum are given below.
Admission to all graduate-degree concentrations in the School of Education and Human Development is based on the recommendation of the faculty. Admissions decisions are based on faculty review of the following general requirements that apply to all Graduate Programs in the School as well as specific documents listed under each concentration.
- achieve acceptable scores on the Graduate Record Exam (GRE) taken within the past five years. International applicants whose native language is not English or applicants whose degrees are from a non-U.S. University must pass the Test of English as a Foreign Language (TOEFL) or International English Language Testing Systems (IELTS) and the GRE;
- provide official transcripts showing completion of a bachelor’s degree from an accredited institution and an acceptable undergraduate grade point average. A minimum of 3.0 undergraduate GPA is required. Official transcripts from every institution attended by an applicant, whether or not the applicant completed a degree program at the institution, are required;
- provide three letters of recommendation that address the issues and meet the criteria established by the program being applied to;
- provide a personal statement that addresses the mission and purpose of the program being applied to;
- take part in an admissions interview (required by some programs); and
- exhibit personal and professional experiences and characteristics that are relevant to the profession and/or field and/or degree program for which the application is being submitted.
All international applications must provide additional information and meet additional requirements as required by the UM Graduate School and the Office of International Student and Scholar Services. For an appropriate link to these requirements, please visit the Graduate School website.
Once an applicant has been admitted to graduate study, that individual should meet with the faculty advisor who was appointed to serve in that capacity and whose name appears in the admissions letter. This advisor will help the student enroll in courses that are appropriate to the program; to develop and to refine a Course Sequence Plan that must be on file in the Office of Graduate Studies by the end of the first semester of enrollment.
Honor Code/Handbook of Policies and Procedures
The School of Education and Human Development follows the Graduate School’s Honor Code. All students are required to review the Graduate Student Honor Code and the School of Education and Human Development’s Handbook of Policies and Procedures for Graduate Students and submit the signed Acknowledgement of Receipt located on page 3 by the end of their first semester of enrollment.
|Quantitative Methods I|
|Introduction to Research Methods|
|Quantitative Methods II|
|Applied Multivariate Statistics|
|Computer Applications in Educational and Behavioral Science Research|
|Measurement and Psychometric Theory|
|Categorical Data Analysis|
|An Introduction to Structural Equation Modeling for Multivariable Data|
Select 2 courses from the following for a total of 6 credit hours:
|Advanced Individual Study I|
|Item Response Theory|
|Introduction to Multilevel Modeling|
|Meta-Analytic Methods for Research Synthesis|
|Advanced Topics in Research, Measurement, and Evaluation|
|Field Experience in Educational Research|
|Qualitative Methods I|
|Qualitative Methods II: Case Studies and Grounded Theory|
|Qualitative Methods II: Interviews and Content Analysis|
Each student must successfully pass a comprehensive exam that covers the content of the core 24 credits. This exam assesses the student’s competency in these core areas of research methodology and use of statistical software, and is based on content that is aligned with the material covered in the core 24 credits.
|Total Credit Hours||30|
Students work with faculty member(s) to select from a large number of graduate courses relevant to the students’ interests and professional goals. Appropriate courses may be related to advanced statistical modeling or other content areas.
Upon the approval of your academic advisor, you can take the classes from other departments.
This is a sample Plan of Study. Your actual course sequence may vary depending on your previous academic experience as well as current course offerings. Students should meet with their academic advisor each semester to determine the appropriate course selection.
Sample Plan of Study
|EPS 700||Quantitative Methods I||3|
|EPS 701||Introduction to Research Methods||3|
|EPS 703||Applied Multivariate Statistics||3|
|EPS 702||Quantitative Methods II||3|
|EPS 704||Computer Applications in Educational and Behavioral Science Research||3|
|EPS 705||Measurement and Psychometric Theory||3|
|EPS 707||Item Response Theory||3|
|EPS 699||Advanced Individual Study I||3|
|EPS 706||Categorical Data Analysis||3|
|EPS 708||An Introduction to Structural Equation Modeling for Multivariable Data||3|
|Total Credit Hours||30|
The mission of the RME Master’s program is to provide students with the requisite training in the application of statistical and measurement methodologies to be a data analyst, research coordinator, or measurement advisor in a variety of professional (e.g., educational assessment) and/or academic (e.g., doctoral student in a related program) settings.
Student Learning Outcomes
- Students will demonstrate adequate mastery in the advanced statistical and measurement methodology.
- Students will demonstrate adequate mastery for conducting statistical analyses and database management using the R program.