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Identifiers of Language Impairment for Spanish-English Dual Language Learners
Rochel Lazewnik1, Nancy A Creaghead1, Allison Breit Smith1
1Department of Communication Sciences and Disorders, University of Cincinnati, Ohio.
The Bilingual English-Spanish Assessment effectively identifies language impairment in Spanish-English dual language learners. Combining its morphosyntax and semantics subtests with language sample analysis improves accuracy for diagnosing language impairment.
Area of Science:
- Speech and Language Pathology
- Developmental Psychology
- Bilingual Education
Background:
- Accurate identification of language impairment (LI) in Spanish-English dual language learners (SEDLLs) is crucial for appropriate intervention.
- Existing standardized assessments may not adequately differentiate LI from typical language development in SEDLLs.
- Evaluating the efficacy of specific assessment tools and methods for this population is essential.
Purpose of the Study:
- To compare the diagnostic accuracy of a standardized assessment for SEDLLs against translated/adapted assessments.
- To investigate whether incorporating informal measures enhances the classification accuracy of LI in SEDLLs.
- To determine the optimal combination of measures for identifying LI in young SEDLLs.
Main Methods:
- Administered standardized and informal language assessments to 30 Mexican American SEDLLs aged 4-5 years.
- Utilized discriminant analyses to evaluate the predictive value of individual and combined measures.
- Assessed sensitivity and specificity of the Bilingual English-Spanish Assessment (BESA) subtests and language samples.
Main Results:
- The Morphosyntax and Semantics subtests of the BESA demonstrated the largest effect size among individual assessments (sensitivity 93.3%, specificity 86.7%).
- Combining BESA Morphosyntax and Semantics with mean length of utterance from the child's stronger language sample achieved over 90% confidence in identifying LI.
- Individual BESA subtests showed strong performance, but combined measures offered superior classification accuracy.
Conclusions:
- The BESA Morphosyntax and Semantics subtests are effective for identifying LI in SEDLLs.
- Integrating language sample analysis with these BESA subtests significantly increases the accuracy of LI identification.
- Further research validating these combined approaches is recommended for clinical practice.
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