Graduate Certificate in Research Methods, Concentration in Applied Quantitative Methods
The Applied Quantitative Methods concentration provides a foundation in applied quantitative methods for data analysis. After completing foundational course work in quantitative design and multivariate statistics, students will select elective courses from advanced data analytic methods such as Structural Equation Modeling (SEM), Hierarchical Linear Modeling (HLM), measurement methods including Survey Development and Item Response Theory (IRT), or analytic approaches including Bayesian Analysis and Machine learning options.
Required Courses (9 credits)
- EDEP 823: Research Project: Designing your Study (3 credits)
- EDEP 824: Research Project: Analyzing your Data and Disseminating Findings (3 credits)
- EDRS 821: Advanced Applications of Quantitative Methods (3 credits)
Elective Courses (9 credits)
Choose 9 credits from the following:
- EDRS 827: Introduction to Measurement and Survey Development (3 credits)
- EDRS 828: Item Response Theory (3 credits)
- EDRS 829: Bayesian Methods (3 credits)
- EDRS 830: Hierarchical Linear Modeling (3 credits)
- EDRS 831: Structural Equation Modeling (3 credits)
Total: 18 credits



