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Sharpening Our Tools: A Systematic Review to Identify Diagnostically Accurate Language Sample Measures.
Michelle N Ramos1, Penelope Collins1, Elizabeth D Peña1
1School of Education, University of California, Irvine.
Journal of Speech, Language, and Hearing Research : JSLHR
|September 29, 2022
Summary
Language sample analysis (LSA) measures effectively identify developmental language disorder in children. Morphosyntax and length measures show the highest diagnostic accuracy, aiding early intervention.
Area of Science:
- Linguistics
- Speech-Language Pathology
- Developmental Psychology
Background:
- Developmental Language Disorder (DLD) affects language acquisition in children.
- Accurate identification of DLD is crucial for timely intervention.
- Language sample analysis (LSA) is a key assessment tool.
Purpose of the Study:
- To systematically review the diagnostic accuracy of English LSA measures for identifying DLD.
- To summarize evidence on the effectiveness of various LSA measures.
Main Methods:
- Systematic review of English-language publications.
- Electronic database search for studies on diagnostic accuracy of LSA measures.
- Inclusion of studies with children aged 3 years and older.
Main Results:
- Twenty-eight studies were reviewed, involving participants aged 3 to 13 years.
- Diagnostic accuracy varied widely (25%–90%+).
- Morphosyntax measures, especially combined with length measures, demonstrated the highest accuracy.
Conclusions:
- Several LSA measures are clinically useful for DLD identification.
- Further research is needed for adolescents and diverse English varieties.
- Rigorous methodology is required for future studies.
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