The Ph.D. program in evaluation, measurement and research in the Department of Educational Leadership, Research and Technology at Western Michigan University is designed for highly qualified students to prepare them as evaluators, assessment specialists, or researchers for leadership and teaching positions in schools, non-school organizations, institutions of higher education and government.
The program requires at least three courses each in evaluation, measurement and research design and statistics. Courses are also required in the areas of qualitative research methods and foundations of inquiry. A 27-credit hour emphasis in some applied area of inquiry is also required. Some examples of a cognate are policy studies, assessment, computer applications or statistics. During their time in the program students will often co-author articles developed with their internship mentor. Students also participate in an internship that provides opportunities to work under the direction of a senior evaluator, measurement specialist or researcher. Students are also encouraged to submit proposals for presentations at professional state and national conferences, and to attend such conferences. Student may enter the doctoral program after completing a master's degree in a related field such as research methods or directly upon completion of a bachelor's degree.
Core comprehensive exam information
Dates to be announced.
- Assessment specialist
- Data analyst
- Evaluation coordinator
- External evaluator
- Internal evaluator
- Measurement consultant
- Monitoring specialist
- Policy associate
- Program officer
- Project manager
- Quality assurance manager
- Research analyst
- Statistical programmer
- Application form for permission to elect 700-level courses
- Graduate course substitution form
- Program of study in EMR Ph.D. program
- Request to extend time to complete graduate degree program
Graduate college forms (including forms for theses, specialist projects, dissertations and financial assistance).
The following requirements will lead to a doctoral degree in evaluation, measurement and research:
- Concentration portfolio must be submitted to evaluation, measurement and research program faculty for review prior to enrollment in advanced seminar.
- Continuous enrollment of at least six hours for all fall and spring semesters.
- Must pass doctoral exams written by evaluation, measurement and research program faculty covering all of the pre-doctoral core content. Exams are offered twice a year.
- Must possess an earned baccalaureate degree.
- Must satisfy all department and graduate college requirements for admission and graduation.
Unless otherwise noted all courses are three credit hours.
- EMR 5400: Fundamentals of Evaluation, Measurement and Research
Sample syllabus for EMR 5400
- EMR 6410: Introduction to Measurement in the Behavioral Sciences
Sample syllabus for EMR 6410
- EMR 6420: Program Evaluation
Sample syllabus for EMR 6420
- EMR 6430: Personnel Evaluation
Sample syllabus for EMR 6430
- EMR 6450: Data Analytics I: Design Studies
Sample syllabus for EMR 6450
- EMR 6480: Qualitative Research Methods
- EMR 6490: Philosophy of Science and Scientific Inquiry
- EMR 6500: Survey Research
Sample syllabus for EMR 6500
Total: 24 credits
- EMR 6510: Advanced Application of Measurement Methods
- EMR 6520: Evaluation Practicum
- EMR 6550: Experimental and Quasi-Experimental Design for Applied Research and Evaluation
- EMR 6580: Qualitative Research Practicum
- EMR 6650: General Linear Models
Total: 15 credits
Advanced seminar in concentration area (select one course)
- EMR 6600: Advanced Seminar in Research
- EMR 6610: Advanced Seminar in Measurement
- EMR 6620: Advanced Seminar in Evaluation
Total: three credits
Professional field experience
(Must register for a three-hour and a six-hour block)
- EMR 7120: Professional Field Experience
- EMR 7120: Professional Field Experience, six credits
Total: nine credits
- EMR 7300: Doctoral Dissertation, minimum of 15 hours
Total: 15 credits
- EMR 6750: Applied Multivariate Statistics
- EMR 6970: Special Topics (Topics change each term)
(e.g., Hierarchical Linear Modeling, Structural Equation Modeling, Qualitative Tools)
Total: nine credits
- 18 hours of coursework approved by advisor
Program total: 93 credits