How statistical learning interacts with the socioeconomic environment to shape children's language development

被引:10
作者
Eghbalzad, Leyla [1 ]
Deocampo, Joanne A. [1 ]
Conway, Christopher M. [1 ,2 ,3 ]
机构
[1] Georgia State Univ, Dept Psychol, Neurolearn Lab, Univ Plaza, Atlanta, GA 30303 USA
[2] Georgia State Univ, Neurosci Inst, Atlanta, GA 30303 USA
[3] Boys Town Natl Res Hosp, Ctr Childhood Deafness Language & Learning, Omaha, NE 68131 USA
来源
PLOS ONE | 2021年 / 16卷 / 01期
关键词
INDIVIDUAL-DIFFERENCES; IMPLICIT; MECHANISMS; EDUCATION; ACHIEVEMENT; ACQUISITION; ABILITY; INCOME; SKILLS;
D O I
10.1371/journal.pone.0244954
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Language is acquired in part through statistical learning abilities that encode environmental regularities. Language development is also heavily influenced by social environmental factors such as socioeconomic status. However, it is unknown to what extent statistical learning interacts with SES to affect language outcomes. We measured event-related potentials in 26 children aged 8-12 while they performed a visual statistical learning task. Regression analyses indicated that children's learning performance moderated the relationship between socioeconomic status and both syntactic and vocabulary language comprehension scores. For children demonstrating high learning, socioeconomic status had a weaker effect on language compared to children showing low learning. These results suggest that high statistical learning ability can provide a buffer against the disadvantages associated with being raised in a lower socioeconomic status household.
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页数:23
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