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Updated: Nov 20, 2025

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
Published on: June 30, 2020
How statistical learning interacts with the socioeconomic environment to shape children's language development.
Leyla Eghbalzad1, Joanne A Deocampo1, Christopher M Conway1,2
1Neurolearn Laboratory, Department of Psychology, Georgia State University, Atlanta, Georgia, United States of America.
Children
Area of Science:
- Cognitive Science
- Developmental Psychology
- Neuroscience
Background:
- Language acquisition relies on statistical learning of environmental regularities.
- Socioeconomic status (SES) significantly influences language development.
- The interaction between statistical learning and SES in language outcomes is not well understood.
Purpose of the Study:
- To investigate the interplay between statistical learning abilities and socioeconomic status (SES) in children's language development.
- To determine if statistical learning moderates the impact of SES on language comprehension.
Main Methods:
- Event-related potentials (ERPs) were recorded from 26 children (aged 8-12) during a visual statistical learning task.
- Regression analyses were used to examine the relationship between learning performance, SES, and language comprehension scores (syntactic and vocabulary).
Main Results:
- Children's statistical learning performance moderated the association between SES and language comprehension.
- Higher statistical learning was linked to a weaker negative effect of lower SES on language skills.
- Lower statistical learning amplified the disadvantages of lower SES on language development.
Conclusions:
- Statistical learning abilities may act as a protective factor, mitigating the negative impact of lower socioeconomic status on language acquisition.
- Interventions aimed at enhancing statistical learning could potentially support language development in children from disadvantaged backgrounds.
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