Evidence map›Paper›PMID 38349663›Full record

ArticleClinical linguistics & phonetics2024

A further look at two grammatical measures from children's language samples and their contribution to the diagnostic process.

Minh Bùi, Laurence B Leonard

Abstract read
In one paragraph

Article in Clinical linguistics & phonetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Minh BùiDepartment of Communication Sciences and Disorders, California State University, Fullerton, California, USA.
Laurence B LeonardDepartment of Speech, Language, and Hearing Sciences, Purdue University, West Lafayette, Indiana, USA.

Funding

Retrieval-Based Word Learning in Specific Language ImpairmentR01DC014708 · NIDCD · PURDUE UNIVERSITY · PI Jeffrey Karpicke · 2016 to 2026
$5.8M
MORPHOLOGICAL DEFICITS IN SPECIFIC LANGUAGE IMPAIRMENTR01DC000458 · NIDCD · PURDUE UNIVERSITY WEST LAFAYETTE · PI LEONARD, LAURENCE BAKER · 1989 to 2007
$4.5M
NIDCD NIH HHS R01 DC000458NIDCD NIH HHS R01 DC014708
6 · The paper itself

Abstract

Previous research has identified two measures derived from language sample analysis as having a high level of diagnostic accuracy for developmental language disorder (DLD): a verb-based measure, the Finite Verb Morphology Composite (FVMC) and a more comprehensive grammatical measure, the Sentence Point. In this study, we evaluated the sensitivity and specificity of these two measures using a new group of children with DLD. To determine whether these measures would likely add to diagnostic decision making if used in conjuncion with other tests of language, we also examined the relationship between scores on these two measures and scores on a standardized test with a grammatical emphasis. In Study 1, FVMC and Sentence Point scores were computed from the language samples of 22 four- and five-year-olds with DLD and 22 age-matched typically developing peers. Both measures showed very good sensitivity and specificity. In Study 2, we analyzed the FVMC and the Sentence Point correlations with the SPELT-P2 for the 22 children wtih DLD from Study 1 and for a larger group of 60 children with DLD. All correlations were very low and non-significant. Results suggest that the FVMC and Sentence Point could be part of a diagnostic battery for DLD as these measures demonstrate good sensitivity and specificity. Furthermore, the findings of very low correlations between these measures and the SPELT-P2 suggest that they can contribute unique information to the diagnostic process even when used in concert with standardized tests of a grammatical nature.

Indexed as

Child LanguageLanguage Development DisordersLanguage TestsChild, PreschoolFemaleHumansLinguisticsMaleSensitivity and Specificitydevelopmental language disorderdiagnostic accuracyFinite verb morphology compositelanguage sample analysissentence point

Identifiers

PMID38349663
PMCPMC11323251

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.