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.
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 Statistical theory and modeling; Mathematical modelling and simulation; Ecological applications, n.e.c.; Psychological methodology design and analysis, and psychometrics; measurement; Measurement error; Statistics; urban ecology; Seabirds; Gulls; Quantitative ecology
Liao, Xiangyi latent variable modeling; item response theory (IRT) models; multilevel modeling and causal machine learning
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 Educational assessment and evaluation; Statistical theory and modeling; Psychological methodology design and analysis, and psychometrics; Psychometrics and Test Theory; Mathematical sciences of measurement; Latent Variable and Mixed Models, Item Response Theory, Factor Analysis; Validity Theory and Validation; Multivariate Analysis