Department of Educational Psychology

Measurement, Evaluation, and Data Science (formerly known as Measurement, Evaluation, and Cognition)

Program Description

The graduate program of Measurement, Evaluation, and Data Science (MEDS), in association with the Centre for Research in Applied Measurement and Evaluation (CRAME), provides students with a solid core foundation in the following four areas:

  1. Psychometrics: The Psychometrics area focuses on designing, analyzing, and interpreting high-quality instruments (e.g., assessments, multiple-choice tests, scales, and surveys) using modern measurement and psychometric techniques (e.g., computer-based and computerized adaptive testing, automatic item generation, and automated essay scoring).

  2. Research Methodology: The Research Methodology area provides training in statistical methods and research design that guide the students in (1) identifying research problems related to educational assessments; (2) determining the type of research design and statistical methods to be used; and (3) planning how to collect and analyze quantitative and qualitative data for addressing research problems.

  3. Evaluation: The Evaluation area focuses on the processes for assessing and evaluating student learning and on the evaluation of educational and organizational programs using a variety of quantitative, qualitative, and mixed method techniques.

  4. Data Science: The Data Science area provides training in data mining techniques, machine learning algorithms, and learning analytics to equip students with the skills to analyze complex behavioural and physiological data (e.g., computer log files as well as eye tracking, facial expression, and other biometric data) generated from technology-based assessments to discover patterns and features that could predict learning performance.

Graduate Students

All graduate students in the MEDS program are expected to:

  • develop a solid knowledge base in psychometrics, research methodology, evaluation, and data science;

  • think critically and analytically about research and practices in educational assessment;

  • conduct sound, high-quality research to inform the construction, interpretation, and validation of large-scale and classroom assessment practices; and

  • communicate and disseminate research findings through research papers, technical reports, and scholarly presentations.