How accurately do tests measure results in multicultural societies—and how fair are they? These are two of the questions at the heart of research by Dr. Bruno Zumbo, Canada Research Chair in Psychometrics and Measurement.
Zumbo and his research team are particularly interested in equity and fairness when it comes to data science, digital innovation and social justice. They are focusing on the social context of test fairness and data science methods for examining fairness. Using survey and test data, they are developing and refining new theories and methods that make the most of advances in multivariate statistics and computational technology. Ultimately, their goal is to ensure that measurement practices in education and the social sciences embrace the diversity of test-takers in Canada’s contemporary multicultural society.