Program Overview

PhD Measurement and Assessment Program

The PhD Measurement and Assessment program offers a comprehensive curriculum designed to equip students with advanced knowledge and skills in measurement and assessment. The program includes a range of courses that cover various topics in educational research and statistics.

Courses in this Program

• PHDMAC710 - Advanced Topics in Generalizability Theory
• PHDMAC730 - Advanced Topics in Multilevel Modelling
• PHDMAC740 - Advanced Topics in Rasch Measurement Theory
• PHDMAC760 - Setting Standards on Educational Assessment
• PHDMAC770 - Advanced Methods for Causal Inference from Data
• PHDMAC750 - Advanced Topics in Item Response Theory
• PHDMAC780 - Bayesian Psychometric Modelling
• INTROST - Introduction to Applied Statistics in Educational Research
• DOCM730 - Quantitative Research Methods

Faculty

The program is taught by a team of experienced faculty members, including:

• Dr. Shaljan Areepattamannil
• Dr. Rehab AlHakmani
• Dr. Dean Cairns
• Dr. Paraic Treacy