Upcoming RMME Events
*12/1 Application Deadline: For Fall 2025 applications to the RMME PhD program–Why wait? Join RMME today!
*12/6 RMME/STAT Colloquium: Friday, 12/6/2024; Speaker: Dr. Kristen Olson, University of Nebraska–Lincoln
*Interested in Research Methods, Measurement, & Evaluation? Take a non-degree course this spring! For more, email Dr. Sarah D. Newton at methods@uconn.edu.
Contacts
For questions about Research Methods, Measurement, and Evaluation programs, please contact the appropriate person below:
RMME Programs
Bianca Montrosse-Moorhead, Ph.D.
methods@uconn.edu
bianca@uconn.edu
Program Coordinator, RMME Programs
100% Online RMME Programs
Sarah D. Newton, Ph.D.
methods@uconn.edu
sarah.newton@uconn.edu
Associate Director, RMME Online Programs
General Questions
epsy@uconn.edu
Overview
The graduate programs in Research Methods, Measurement, and Evaluation (RMME) lead to an M.A. or Ph.D. degree in Educational Psychology, with an area of concentration in Research Methods, Measurement, and Evaluation. These programs are designed for 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 research and/or evaluation consulting firms across disciplines, federal/state/local government agencies, testing companies, higher education agencies, and more.
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 who have entered (or plan to enter) the workforce, who are interested in developing expertise in research methods, quantitative analysis, measurement, and program evaluation. It also offers maximum flexibility to working professionals looking to brush up on their research, data analysis, and evaluation skills to improve upward mobility in their current careers or facilitate a future career or employment change.
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.
See our RMME Handbooks (via the specific program links above) for more information about each of our three graduate programs.
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RMME News & Updates
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Upcoming RMME/STAT Colloquium (11/15): Pascale Deboeck, “Effects Across Time to Modeling States of a System: A Dynamical Systems Perspective on Modeling Social Science Data”
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RMME Community Members Present at AEA 2024
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Upcoming RMME/STAT Colloquium (10/11): Sandip Sinharay, “Assessment of Fit of Item Response Theory Models: Full-information and Limited-information Methods, Item and Person Fit Analysis, and Beyond”
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Dr. Ken Bollen Gives Talk at UConn!
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RMME Community Members Present at SREE 2024
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UConn’s Dr. David Kenny Presents!
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RMME Programs Celebrates its Summer 2024 Grads!!!
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RMME Programs Seeking Qualified Instructors for Spring 2025
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RMME Participates in M3 2024
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RMME Programs Celebrates its Spring 2024 Grads!!!
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RMME Community Members to Present at M3 2024
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Pamela Peters Successfully Defends Doctoral Dissertation
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RMME Alumna, Dr. Jessica Flake Presents at APS 2024!
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. Ph.D. applications must be received by December 1st to be considered for funding opportunities, which include graduate assistantships and fellowships. GRE scores are now optional. M.A. applications are accepted on a rolling basis.