What is normalization in CAT?
Scaling process across multiple exam slots.
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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.