Major in Research and Evaluation Methodology
Students in the Research and Evaluation Methodology (REM) program learn to design research projects, analyze data, develop assessment instruments, implement program evaluation, and conduct research about the efficacy of research methodologies.
Work with the Experts, Become an Expert
Students develop skills in data analysis, educational research design and evaluation assessment through the courses offered by REM program faculty, by participating in research projects with faculty, and by conducting their own research projects. Graduates of the REM program find work as researchers, psychometricians, and data analysts in testing companies, research and evaluation companies, universities, school districts, state and federal agencies. In addition to providing learning experiences for program majors, the REM program provides service courses in quantitative methodology and in qualitative methodology.
Why We’re Different
NSF grants, grant evaluation.
We allow students to bridge theory
REM welcomes social science students, in addition to education majors.
— Areas of Interest —
Analyze social science data using a variety of statistical methods. Some example of these methods are analysis of variance, multiple regression, multilevel modeling and structural equation modeling. Engage in research about different aspects of these statistical methods, such as evaluation of different statistical methods with real datasets.
Gain an understanding of the theory and mathematical models for measuring constructs such as writing ability, personality and intelligence. For example, students learn classical test theory, item response theory (addresses mathematical models that relate individual abilities with their performance on the items of a test) and generalizability theory.
Program Evaluation in Educational Environments
Perform evaluations of educational programs, with the purpose of providing information for program adoption and/or modification. Also, learn formative and summative methods for evaluating program effectiveness and how to collect, examine and report data in a political context.
Design experimental, quasi-experimental and non-experimental education research. Gain the training needed to design research projects that maximize the interpretability, or validity, of the results.