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La Rana or El Rana: Dual Language Learners' Grammatical Variability in Narrative Retells
1Department of Communication Disorders, Southern Connecticut State University, New Haven.
Language, Speech, and Hearing Services in Schools
|June 6, 2024
Summary
Spanish article accuracy in dual language learners (DLLs) remained stable from preschool to first grade, showing significant individual differences. Lower Spanish proficiency, not English proficiency, impacted accuracy in English immersion settings.
Area of Science:
- Linguistics
- Developmental Psychology
- Education
Background:
- Dual language learners (DLLs) in English immersion settings may face challenges in maintaining Spanish grammatical skills.
- Longitudinal data on Spanish article accuracy in DLLs is crucial for understanding language development trajectories.
Purpose of the Study:
- To investigate the longitudinal trajectory of Spanish article accuracy in Spanish-English DLLs from preschool to first grade.
- To examine the variability in Spanish grammatical skills among DLLs in English immersion classrooms.
Main Methods:
- Language sample analysis of Spanish and English narrative retells from 31 Spanish-English DLLs (ages 45-85 months).
- Growth curve modeling to assess within- and between-individual changes in article accuracy over time.
Main Results:
- Overall Spanish article accuracy remained stable at 76% from preschool to first grade, with no significant group growth.
- Significant individual variability in article accuracy was observed, partly explained by Spanish proficiency.
- Lower Spanish proficiency correlated with lower Spanish article accuracy, while English proficiency did not show a significant effect.
Conclusions:
- Expectations for Spanish grammatical performance in DLLs require adjustment, considering the lack of Spanish support in English immersion settings.
- DLLs in these programs typically do not achieve the article accuracy levels of monolingual Spanish speakers.
- Substantial individual differences in Spanish article accuracy highlight the diverse language skills among DLLs in the U.S.
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