Score Prediction

A subjective-response evaluation item in which a research participant, immediately after reading a passage and before learning their actual comprehension-question score, estimates the percentage of questions they will have answered correctly. Score prediction is used in accessibility research as a proxy for a reader’s meta-cognitive confidence in their own understanding of a text — it has been shown to distinguish complexity levels among lower-literacy DHH readers in some conditions, though it carries a literacy bias (higher-literacy readers predict higher scores across the board). Related concepts include meta-cognitive awareness and self-assessed reading comprehension, both of which are known to be less reliable among readers with lower literacy skill.