Ph.D. in Educational Psychology with an emphasis in Research, Measurement, and Statistics
The Ph.D. program in Educational Psychology with a emphasis in Research, Measurement and Statistics (RMS) focuses on a broad range of quantitative and methodological issues, including multivariate statistics, item response theory, generalizability theory, hierarchical linear modeling, structural equation modeling, time series analysis, growth modeling, and Monte Carlo study.
RMS faculty are leading scholars who have earned international recognition. They recently instituted Summer Statistics Workshops attract students and faculty from around the state and across the nation. RMS faculty not only engage in the development and application of cutting-edge quantitative research methods, but they are also committed to training the next generation of methodologists. Graduates with this specialization are in demand for higher education academic positions and school- and industry-based jobs in measurement and evaluation. RMS graduates hold positions at many major universities and research agencies.
December 1 for the following fall semester
* An alternate application deadline of April 1 is available for the Educational Psychology Ph.D. programs. Note that applications submitted by the December 1 deadline will receive priority in the review process and may have access to more funding opportunities.
To be admitted to a graduate program, you must apply to the EPSY department and Texas A&M University.How to Apply
Degree: Doctorate in Educational Psychology
Emphasis: Research, Measurement, and Statistics
Degrees Offered: Ph.D.
Credit Hours: minimum 72 hours
*Select College of Education and update credit hours
PREREQUISITE COURSES (3 credits each)
CORE COURSES (3 credits each)
EPSY 625: Advanced Psychometric Theory
EPSY 633: Qualitative Research Design and Data Collection
EPSY 640: Statistical Analysis in Educational Research I
EPSY 641: Statistical Analysis in Educational Research II
EPSY 642: Meta-Analysis of Behavioral Research
EPSY 650: Multiple Regression and Other Linear Model in Educational Research
EPSY 651: Theory of Structural Equation Modeling
EPSY 652: Theory of Hierarchical Linear Modeling
EPSY 656: Survey Instrument Development
EPSY 691: Dissertation Research Hours (Minimum 13 credits)
Electives: RMS Courses **-(Minimum 24 credits)
RMS Related Electives
EPSY 631: Program Evaluation
EPSY 637: Qualitative Grounded Theory Methodologies
EPSY 643: Applied Multivariate Methods
EPSY 653: Advanced Structural Equation Modeling
EPSY 654: Longitudinal Data Analysis
EPSY 655: Item Response Theory
EPSY 690: Experimental Research Design in Educational Settings
- Electives which have been offered in the last three years and have permanent numbering in the 2018-2019 Graduate Course Catalog. The course code is currently listed as EPSY 690 and will be changed to EPSY 639.
OTHER EPSY Electives
EPSY 630: Single Case Experimental Design
EPSY 634: Educational Neuroscience
EDTC 608: Foundations of Distance Learning
EDTC 654: Instructional Design-Technique in Educational Technology
EPSY 646: Issues in Child and Adolescent Development
EPSY 647: Lifespan Development
EPSY 673: Learning Theories for Education
- Electives which have been offered in the last three years and which have permanent numbering in the 2018-2019 Graduate Course Catalog.
Total: 64 credits
*Prerequisite course requirements may be waived for students who have comparable previous coursework or demonstrate requisite knowledge skills. Students who feel they meet these criteria should consult their advisor.
Frequently Asked Questions
What are the typical program costs?
The following website can help you estimate the cost of the program, including current costs of tuition and fees: Click here for the cost of attendance estimator
Please note, you must update the program hours.
Can you guide me through the application process?
I live out of state. Do you accept out-of-state applicants?
Yes, we accept in-state and out-of-state applicants.
Is there any opportunity for financial assistance?
Yes, there are opportunities for financial assistance through the following departments: Office of Graduate Studies Financial Aid