The MERM Program is dedicated to advancing the science and practice of measurement, program evaluation, and research methodology in the social and behavioral sciences (e.g., Psychology, Education, Quality of Life Studies, Health Studies). For more than 25 years, the faculty and students of the MERM program have been contributing to its international reputation as a leader in the field. Our students and faculty have done research in human and health services, psychological, educational, community and health settings. The essential difference between the MA and MED in MERM is that the MED is wholly course based whereas the MA requires two fewer courses but the completion of a master's thesis. As such completion of a master's thesis is viewed as a prerequisite for the pursuit of doctoral studies in most institutions.
- Degree: Master of Arts (research-based), Master of Education (course-based)
- Specialization: Measurement, Evaluation and Research Methodology
- Subject: Education
- Mode of delivery: On campus
- Faculty: Faculty of Education
The graduate program in Measurement, Evaluation, and Research Methodology (MERM) offers Ph.D., M.A., and M.Ed. degrees. The MERM area focuses on the preparation of graduate students to be methodological and measurement specialists. We strive to promote in our research, student supervision, and teaching the highest standards of measurement and research methodology in our discipline. Upon degree completion, our master's and Ph.D. students are employed as university faculty, data analysts, research scientists, test developers, directors of research in school districts or government, research consultants, assessment and testing specialists in business, industry, and education, certification and credentialing professionals, and psychometricians at research and testing organizations.
MERM students generally fit into one of three categories:
1. Students who have an applied interest in educational and psychological measurement, program evaluation, or data analysis. Although they may have some preparation in measurement and data analysis in their undergraduate studies, this is not always the case. These students are more oriented toward the use of measurement, program evaluation, or data analysis techniques in fields such as education, psychology, or health.
2. Students who have strong theoretical interests in technical problems related to areas such as test theory, item response theory, assessment, statistics, factor analysis, and multi-level modeling. Although some of these students come to the Program with some statistical and/or mathematical background, often obtained while studying in another social science discipline such as psychology or sociology, other students arrive with degrees in statistics or mathematics as well.
3. Students who find it compatible with their career goals to give equal attention to both applied and theoretical aspects of this program.