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The Use of Language Sample Analysis to Differentiate Developmental Language Disorder From Typical Language in
José A Ortiz1, Jessica M Nolasco1, Yi Ting Huang1
1Department of Hearing and Speech Sciences, University of Maryland, College Park.
Language sample analysis (LSA) effectively differentiates developmental language disorder (DLD) from typical language (TL) in bilingual children. This method shows clinical utility for assessing language in diverse populations.
Area of Science:
- Linguistics
- Developmental Psychology
- Clinical Research
Background:
- Bilingual children present unique challenges in language assessment.
- Developmental Language Disorder (DLD) requires accurate differentiation from typical language development.
- Language Sample Analysis (LSA) is a key assessment tool for bilingual children.
Purpose of the Study:
- To systematically review and meta-analyze the literature on LSA for differentiating DLD from TL in bilingual children.
- To assess the overall effectiveness of LSA in distinguishing between DLD and TL.
- To explore factors influencing LSA's diagnostic utility.
Main Methods:
- Comprehensive electronic database searches and citation tracking.
- Systematic screening of abstracts and full texts for relevant studies.
- Multilevel modeling to estimate standardized mean differences and analyze effect sizes.
Main Results:
- 35 articles met inclusion criteria, covering diverse languages and age ranges (2;0–11;9).
- Children with DLD performed 0.78 SD lower on LSA measures compared to children with TL.
- Morphosyntactic accuracy measures showed the largest pooled effect size.
Conclusions:
- LSA demonstrates clinical utility in differentiating DLD from TL in bilingual children.
- Further research is recommended to enhance classification accuracy and diagnostic utility.
- Task characteristics require further investigation for improved diagnostic capabilities.
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