Statistical learning (SL) is believed to be a mechanism that enables
successful language acquisition. Language acquisition in turn is
heavily influenced by environmental factors such as
socioeconomic status (SES). However, it is unknown to what
extent SL abilities interact with SES in affecting language
outcomes. To examine this potential interaction, we measured
event-related potentials (ERPs) in 38 children aged 7-12 while
performing a visual SL task consisting of a sequence of stimuli that
contained covert statistical probabilities that predicted a target
stimulus. Hierarchical regression results indicated that SL ability
moderated the relationship between SES (average of both
caregiver’s education level) and language scores (grammar, and
marginally with receptive vocabulary). For children with high SL
ability, SES had a weaker effect on language compared to children
with low SL ability, suggesting that having good SL abilities could
help ameliorate the disadvantages associated with being raised in a
family with lower SES.