Research Methods, Measurement,
and Evaluation (RMME)
UConn's RMME program equips educators and other professionals with skills and expertise in quantitative research methodology, psychometrics, educational measurement, and program evaluation. Offering 100% online and in-person program options, RMME features a variety of ways for you to learn with us today!
100% Online RMME
Master's Degree (MA)
Enhance your quantitative analysis, educational measurement, and program evaluation skills.
100% Online Program Evaluation Certificate
Gain graduate-level skills and knowledge to conduct competent, comprehensive evaluations.
Take an Online Course
in RMME
Take an online course for credit without formal admission to our program.
RMME Master's Degree (MA)
Emphasizes the application of measurement, assessment, and evaluation theory and procedures.
RMME Doctoral Degree (PhD)
Integrates theory and practice to promote the scientific uses of measurement within the field of education and related disciplines.
In-Person Program Evaluation Certificate
Gain graduate-level skills and knowledge
to conduct competent, comprehensive
evaluations.
Data Analysis Training Institute of Connecticut
All workshops are geared toward researchers who wish to utilize modern data analytic techniques in their own work.
Modern Modeling Methods (M3) Conference
Designed to showcase the latest modeling methods and to present research related to these methodologies.
Specialized Training & Colloquia
The RMME program hosts workshops and partners with UConn's Statistics Department to present monthly RMME/STAT Colloquia.
*10/22 RMME Doctoral Dissertation Defense (Dani Yomtov): An Experimental Study of Ideology, Advocacy, and Confirmation Bias in Program Evaluation; Friday, 10/22/2021, 1pm - 3pm ET
*11/5 RMME/STAT Colloquium: Friday, 11/5/2021, 12pm ET; Speaker: Dr. Jerry Reiter, Duke University
*11/5 Application Deadline: For Spring 2022 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!
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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!!!