Drs. Bengt Muthén, Tihomir Asparouhov, & Ellen Hamaker will Present a Full-Day Pre-Conference Workshop at the 2023 Modern Modeling Methods Conference, on June 26. Early-Bird Registration Ends May 31!RMME Programs Congratulates 2023 RMME Book Award WinnersRMME Programs Welcomes Instructors for Spring 2023Register Now! Modern Modeling Methods Early-Bird Conference Registration Ends May 31!Neag Researchers Earn Awards at NAGC 2022Dr. Bianca Montrosse-Moorhead (RMME Faculty) and Amanda Sutter (RMME PhD student) Host Packed Session at AEA 2022Dr. D. Betsy McCoach Gives 2022 NAGC Distinguished Scholar AddressRMME PhD Student, Amanda Sutter, Welcomed to AEA 2022RMME Programs at AEA 2022RMME Community Members Present at AEA 2022RMME Community Members Present at AEA 2022Bianca Montrosse-Moorhead_AEA 2018Brittney Hernandez Dandan Chen Dakota Cintron_AEA 2018Dr. D. Betsy McCoach is the lead author of a popular book on designing instruments for the affective domain.Alumnus, Dr. Paul Hernandez Defends his Dissertation Research

Upcoming RMME Events

*11/3 Application Deadline: For Spring 2024 enrollment in the RMME Master’s and/or Graduate Certificate in Program Evaluation programs. With 100% Online or Campus-based options, RMME offers the flexibility to meet a variety of work and home life schedules and learning preferences. Apply today!

Contacts

For questions about Research Methods, Measurement, and Evaluation programs, please contact the appropriate person below:

M.A. and Ph.D. Programs
(Campus-based)
Chris Rhoads, Ph.D.
christopher.rhoads@uconn.edu
RMME Program Coordinator

Graduate Certificate Program in Program Evaluation (GCPPE)
Bianca Montrosse-Moorhead, Ph.D.
methods@uconn.edu
bianca@uconn.edu
GCPPE Program Coordinator

100% Online RMME Programs
Sarah D. Newton, Ph.D.
methods@uconn.edu
sarah.newton@uconn.edu
Associate Director, RMME Online Programs

General Questions
Katie Gelsomini
katie.gelsomini@uconn.edu
Educational Program Assistant
Department of Educational Psychology

 

Overview

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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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.