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.
|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|
|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.