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Statistical learning as a buffer: Investigating its impact on the link between home environment and reading
Jinglei Ren1, Min Wang1, Xianglin Zhang1
1Department of Human Development and Quantitative Methodology, University of Maryland, College Park, MD 20742, USA.
Home environment impacts children's reading, with vocabulary and morphological awareness playing key roles. Statistical learning, especially Chinese radical positional SL, can mitigate socioeconomic disparities in reading achievement.
Area of Science:
- Child Development
- Educational Psychology
- Linguistics
Background:
- Socioeconomic status (SES) and home literacy environment (HLE) significantly influence children's reading outcomes.
- Vocabulary and morphological awareness (MA) are crucial cognitive skills for reading development.
- Statistical learning (SL) may play a role in mediating or moderating these relationships.
Purpose of the Study:
- To investigate the association between home environment and children's reading outcomes.
- To examine the mediating roles of vocabulary and MA.
- To explore the moderating roles of domain-general and domain-specific SL.
Main Methods:
- A sample of 191 8-year-old Chinese children from diverse SES backgrounds participated.
- Assessments included vocabulary, MA, nonlinguistic and Chinese-specific SL, reading, nonverbal reasoning, and verbal working memory.
- Statistical analyses examined mediation and moderation effects.
Main Results:
- Vocabulary and MA mediated the relationship between SES and reading.
- Vocabulary, but not MA, mediated the relationship between HLE and reading.
- Domain-specific SL, particularly Chinese radical positional SL, moderated the impact of SES on reading.
Conclusions:
- Vocabulary and MA are important mediators linking home environment factors to reading.
- Domain-specific statistical learning abilities can buffer the negative effects of SES disparities on reading.
- Interventions aimed at improving SL may help reduce educational inequalities.
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