Upcoming RMME Events
*3/24 RMME/STAT Colloquium: Modeling Coarsened Categorical Variables: Techniques and Software; Friday, 3/24/2023, 11am ET; Speaker: Dr. Joe Schafer, U.S. Census Bureau
*3/24 Application Deadline: For Summer 2023 enrollment in the RMME Master’s and/or Graduate Certificate in Program Evaluation programs. 100% Online or Campus-based learning options available–Apply today!
*Modern Modeling Methods Conference Registration Open!!! Register at: https://uconnuecs.cventevents.com/MMM2023
For questions about Research Methods, Measurement, and Evaluation programs, please contact the appropriate person below:
M.A. and Ph.D. Programs
Chris Rhoads, Ph.D.
RMME Program Coordinator
Graduate Certificate Program in Program Evaluation (GCPPE)
Bianca Montrosse-Moorhead, Ph.D.
GCPPE Program Coordinator
100% Online RMME Programs
Sarah D. Newton, Ph.D.
Associate Director, RMME Online Programs
Educational Program Assistant
Department of Educational Psychology
The graduate program in Research Methods, Measurement, and Evaluation (RMME) leads to an M.A. or Ph.D. degree in Educational Psychology with an area of concentration in Research Methods, Measurement, and Evaluation. The program is designed for educators and other professionals who wish to develop expertise in quantitative research methodology, psychometrics, educational measurement, and/or program evaluation. We also offer a Graduate Certificate in Program Evaluation. Our graduates work in a variety of settings including higher education, testing companies, state departments of education, and research firms.
The 100% online Master’s Program is designed for professionals seeking to become more knowledgeable about research methods, measurement, and evaluation. Further, it is an ideal graduate degree for recent bachelor’s graduates having entered, or for those entering, the workforce, who are interested in developing expertise in research methods, quantitative analysis, measurement, and program evaluation.
The campus-based Master’s program emphasizes the application of quantitative research methods, measurement and evaluation theory and procedures. We encourage students to supplement their RMME coursework with courses in other discipline areas that best suit their individual goals and objectives.
The Ph.D. program in Research Methods, Measurement, and Evaluation (also campus-based) integrates theory and practice to promote the scientific uses of measurement and quantitative research methodology within education and the social and behavioral sciences. Coursework focuses on current and emerging topics including instrument development, classical and modern measurement theory and applications, item response theory, latent variable modeling, causal inference, multivariate statistical techniques, and multilevel modeling. Learn more about Neag School doctoral-level programs.
See the RMME Handbook for more information about our graduate degree programs.
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RMME News & Updates
Upcoming RMME/STAT Colloquium (3/24): Joseph L. Schafer, “Modeling Coarsened Categorical Variables: Techniques and Software”
Upcoming RMME Evaluation Colloquium (3/10): Laura Peck, “The Health Profession Opportunity Grant (HPOG) Impact Study: A Behind-the-Scenes Look at Experimental Evaluation in Practice”
Upcoming RMME/STAT Colloquium (2/24): Ben Domingue, “Bookmaking for Binary Outcomes: Prediction, Profits, and the IMV”
Ashley Taconet, Program Evaluation Certificate Grad, Earns Award
RMME Community Members Contribute to Construct Validation Article
Dr. D. Betsy McCoach and Pamela M. Peters Honored at NAGC 2022
SAVE THE DATE! Modern Modeling Methods Returns to UConn!
Upcoming RMME/STAT Colloquium (11/11): Dylan Small, “Testing an Elaborate Theory of a Causal Hypothesis”
RMME Community Members Earn NAGC Awards
Interested in Graduate School?
Seeking qualified Master’s and Doctoral students for the 2023-2024 academic year. Graduate assistantships (including tuition remission and health insurance) are awarded on a competitive basis to incoming Ph.D. students. While M.A. applications are accepted on a rolling basis, Ph.D. applications must be received by December 1st to be considered for funding opportunities, which include graduate assistantships and fellowships. GRE scores are required for Ph.D. applicants and recommended for M.A. applicants.