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