Upcoming RMME Events
*Interested in Research Methods, Measurement, & Evaluation? Want to know if RMME is right for you? Take a non-degree course this fall! For more information, email Dr. Sarah D. Newton at: email@example.com.
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
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.
See the RMME Handbook for more information about our graduate degree programs.
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RMME News & Updates
RMME Master’s Student, Daniel Doerr, Secures New Position
RMME Faculty & Students Publish New Article: “Evaluator Education Curriculum: Which Competencies Ought to Be Prioritized in Master’s and Doctoral Programs?”
Upcoming RMME/STAT Colloquium (6/18): Jon Krosnick, “The Collapse of Scientific Standards in the World of High Visibility Survey Research”
Upcoming RMME/STAT Colloquium (5/21): David Kaplan, “Developments and Extensions in the Quantification of Model Uncertainty: A Bayesian Perspective”
Upcoming RMME/STAT Colloquium (4/30): Jennifer Hill, “thinkCausal: One Stop Shopping for Answering your Causal Inference Questions”
Upcoming RMME/STAT Colloquium (4/23): Jean-Paul Fox, “Bayesian Covariance Structure Modeling: An Overview and New Developments”
Upcoming RMME/STAT Colloquium (4/16): Susan Paddock, “Causal Inference Under Interference in Dynamic Therapy Group Studies”
Upcoming RMME/STAT Colloquium (3/26): David Dunson, “Bayesian Pyramids: Identifying Interpretable Deep Structure Underlying High-dimensional Data”
CNN Features Program Alumna, Dr. Karen Rambo-Hernandez
Upcoming RMME/STAT Colloquium (2/26): Edward Ip, “Partially Ordered Responses and Applications”
Interested in Graduate School?
Seeking qualified Master’s and Doctoral students for the 2022-2023 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, fellowships. GRE scores are required for Ph.D. applicants and recommended for M.A. applicants.