Dr. Pascal Deboeck presents an RMME/STAT Colloquium on November 15, at 11am ETDr. Sandip Sinharay presents an RMME/STAT Colloquium on October 11, at 11:15am ETCongratulations to Our Summer 2024 RMME Programs Graduates!RMME Community Members Present at the 2024 Modern Modeling Methods (M3) Conference!RMME Community Members Present at the 2024 Modern Modeling Methods (M3) Conference!RMME Community Members Present at the 2024 Modern Modeling Methods (M3) Conference!RMME Alumna, Dr. Karen Rambo-Hernandez, presents at UConn's Wallace Research Symposium on Talent Development!RMME Faculty Member, Dr. D. Betsy McCoach presents at UConn's Wallace Research Symposium on Talent Development!Congratulations to Our Spring 2024 RMME Programs Graduates!Dr. Dale Zimmerman presents an RMME/STAT Colloquium on April 12, at 11am ETDr. Zhiliang Ying presents an RMME/STAT Colloquium on March 29, at 11am ETRMME Successfully Hosts EPA 2024 Exhibits Booth!Celebrating Our Fall 2023 RMME Programs Graduates!RMME Programs Recognizes 2024 RMME Book Award WinnerDr. Irini Moustaki presented an RMME/STAT Colloquium on December 1, at 11am ETDr. Xinyuan Song Presented an RMME/STAT Colloquium on November 3, at 10am ETDr. Merve Sarac (RMME Alumna) presents research with Professor James Wollack at the Conference on Test Security 2023.Dr. D. Betsy McCoach (RMME Faculty member, Discussant), Amanda Sutter (RMME PhD Student, Presenter), Marcus Harris (RMME PhD Student, Presenter), Claudia Ventura (RMME PhD Student, Presenter), Faeze Safari (RMME PhD Student, Presenter), & Kirsten Reyna (RMME PhD Student, Presenter) present a symposium on "The Future of Educational Measurement" at NERA 2023.RMME Community Members Present at AEA 2023RMME Community Members Present at AEA 2023Christopher Esposito (RMME Program Evaluation Student), Dr. Graham Rifenbark (RMME Alumnus), and colleagues attend CEC 2023.Dr. Wes Bonifay Presents the First Fall 2023 Virtual RMME/STAT Colloquium on October 13, at 11am ETRMME Welcomes New Faculty for Fall 2023RMME Programs Congratulates 2023 RMME Book Award WinnersNeag 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 AddressStudents from RMME's Construction of Evaluation Instruments Course showcase their research in the Spring 2022 semester.Students from RMME's Construction of Evaluation Instruments Course showcase their research in the Spring 2022 semester.Bianca Montrosse-Moorhead_AEA 2018Brittney Hernandez Dandan Chen Dakota Cintron_AEA 2018RMME Alumni, Drs. David Alexandro and Xiaowen Liu, discuss presented research at NERA 2017.Dr. D. Betsy McCoach is the lead author of a popular book on designing instruments for the affective domain.

Upcoming RMME Events

*11/15 RMME/STAT Colloquium: Effects Across Time to Modeling States of a System: A Dynamical Systems Perspective on Modeling Social Science Data; Friday, 11/15/2024, 11am ET; Speaker: Dr. Pascal Deboeck, University of Utah

*12/1 Application Deadline: For Fall 2025 applications to the RMME PhD program–Why wait? Join RMME today!

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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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.