Normalization is a statistical process used to ensure fairness since CAT is conducted in multiple sessions with slight variations in difficulty levels. Raw scores obtained by candidates are adjusted through a scaling process to account for session-wise differences. The normalized scaled scores are then used to calculate percentiles. This ensures that candidates across different slots are evaluated equitably.