Auditory Processing and Comprehension-Knowledge Outrank Intelligence in Predicting Reading Success

Researchers led by Daniel Hajovsky at Texas A&M aggregated data across 137 standardized batteries to model how specific cognitive abilities relate to reading. The large sample size allowed separation of broad abilities from general intelligence, revealing that auditory processing supports phoneme-grapheme mapping while comprehension-knowledge supplies the vocabulary and schema needed for meaning construction. Visual processing contributed essentially zero unique variance once these factors were controlled.

Prior studies often reported strong g-factor links because they did not partial out narrower abilities or used smaller, homogeneous samples. The current design shows that language-based skills explain additional variance in both word recognition and passage comprehension, implying that reading failure frequently reflects targeted deficits rather than global cognitive limitation. This reframes many classroom struggles as remediable skill gaps instead of fixed traits.

Policy implications follow directly. Screening batteries that include auditory discrimination and background-knowledge measures could identify at-risk readers earlier than IQ proxies alone. Intervention trials that train these two abilities separately are now needed to test whether gains transfer to standardized reading outcomes within two academic years.