Multidimensional Rasch Analysis is a statistical technique used to assess the measurement properties of items in educational or psychological tests when multiple latent traits are involved. It extends the Rasch model to accommodate the complexity of multidimensional data, where test items measure more than one latent trait simultaneously. This analysis aims to disentangle the relationships between items and multiple underlying traits, providing a clearer understanding of test performance. It’s valuable for test development, refinement, and validation in fields like education and psychology, allowing for the creation of more precise and valid assessments that consider the multidimensionality of the constructs being measured. In this occasion, Dr Diah Wihardini will share her expertise and experience about PISA Mathematics data analysis using this approach.