This document discusses various methods for adjusting assessment scores. It describes four main methods: 1) Normalizing scores to fit a normal distribution curve, which determines grades based on standard deviations from the mean. 2) Changing the total points by removing difficult questions, which increases scores more for high-performing students. 3) Applying a percentage increase to all students based on the points they missed, which helps low-performing students more. 4) Linear regression between two manually set grade cutoffs to compress the score range. Other minor methods are also briefly mentioned, and pros/cons of score adjustment are debated.