This track has suspended admissions effective Fall 2026.
The Methodology, Measurement, and Analysis track in the Education PhD program is designed to prepare methodologists in education, the social sciences, and other human sciences for either the professoriate or practice including diverse quantitative and qualitative areas such as statistical consulting and data analytic fields, psychometrics, and program evaluation.
Four major areas are encompassed in the Methodology, Measurement, and Analysis program: quantitative research, qualitative research, measurement, and program evaluation.
Track Prerequisites
A master's degree in a closely related field.
Application Requirements
Financial Information
Graduate students may receive financial assistance through fellowships, assistantships, tuition support, or loans. For more information, see the College of Graduate Studies Funding website, which describes the types of financial assistance available at 性视界传媒 and provides general guidance in planning your graduate finances. The Financial Information section of the Graduate Catalog is another key resource.
Fellowship Information
Fellowships are awarded based on academic merit to highly qualified students. They are paid to students through the Office of Student Financial Assistance, based on instructions provided by the College of Graduate Studies. Fellowships are given to support a student's graduate study and do not have a work obligation. For more information, see 性视界传媒 Graduate Fellowships, which includes descriptions of university fellowships and what you should do to be considered for a fellowship.
Group A (Course below may be taken in place of IDS 7502 - Case Studies in Research Design in fulfilling CORE requirement above; Course below may be taken in place of EDF 7406 - Multivariate Statistics in Education in fulfilling CORE requirement above)
- EDF 7405 - Quantitative Methods II 3 Credit Hours
- EDF 7406 - Multivariate Statistics in Education 3 Credit Hours
- EDF 7410 - Application of Nonparametric and Categorical Data Analysis in Education 3 Credit Hours
- EDF 7415 - Latent Variable Modeling In Education 3 Credit Hours
- EDF 7473 - Ethnography in Educational Settings 3 Credit Hours
- EDF 7474 - Multilevel Data Analysis In Education 3 Credit Hours
- EDF 7488 - Monte Carlo Simulation Research in Education 3 Credit Hours
- SPA 7495 - Doctoral Seminar II: Spoken and Written Language Disorders 3 Credit Hours (Communication Sciences Track students only)
- IDS 7938 - Research Cluster Seminar 3 Credit Hours
Independent Learning
The dissertation satisfies the independent learning experience.
