Measurement, Evaluation and Research Methodology
Measurement, Evaluation and Research Methodology (MERM) focuses on the preparation of graduate students to be methodological and measurement specialists. MERM students generally fit into one of three categories:
- Students who have an applied interest in educational and psychological measurement, program evaluation, or data analysis. These students are more oriented toward the use of measurement, program evaluation, or data analysis techniques in fields such as education, psychology, or health.
- 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 modelling.
- Students who find it compatible with their career goals to give equal attention to both applied and theoretical aspects of this program.
Explore our Programs in Measurement, Evaluation and Research Methodology
Faculty Members in Measurement, Evaluation and Research Methodology
| Name | Research Interests |
|---|---|
| Hubley, Anita | Psychological and health measurement; test development and validation; adult neuropsychological, personality, and mental health topics and assessment; research with general community and vulnerable populations (e.g. elderly, homeless, drug addicted) |
| Kroc, Edward | measurement; applied and theoretical research methodology and best practice; spatio-temporal modelling; Causal inference; urban ecology; life cycle of gulls |
| Wu, Amery | Development of new psychometric methods (e.g. reliability of complex assessment designs, validation methods using structural equation modeling or item response theory); methodology for group comparison in item responses (e.g. detection of differential option functioning in multiple choice tests); understanding response processes; large-scale educational assessment and English Language assessment |
| Zumbo, Bruno | Psychological methodology design and analysis, and psychometrics; Statistical theory and modeling; Educational assessment and evaluation; Psychometrics and Test Theory; Mathematical sciences of measurement; Latent Variable Models, Item Response Theory, Factor Analysis, Mixed models; Validity Theory and Validation; Multivariate Analysis |
