Evidence map›Paper›PMID 35895289›Full record

ArticleLanguage assessment quarterly2020

Identifying Developmental Language Disorder in School age Bilinguals: Semantics, Grammar, and Narratives.

Elizabeth D Peña, Lisa M Bedore, Mirza J Lugo-Neris, Nahar Albudoor

Open access · greenAbstract read
In one paragraph

Article in Language assessment quarterly, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
6.5field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 48 citations in OpenAlex.

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  11. Sentence Diversity in Spanish-English Bilingual Toddlers.American journal of speech-language pathology · 2023
    Article
  12. Article
  13. Identifying Language Disorder in Bilingual Children Using Automatic Speech Recognition.Journal of speech, language, and hearing research : JSLHR · 2022
    Article
  14. Article
  15. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

Elizabeth D PeñaUniversity of California Irvine, School of Education, Irvine, CA, USA.
Lisa M BedoreTemple University College of Public Health, Communication Sciences and Disorders, Philadelphia, PA, USA.
Mirza J Lugo-NerisThe University of Texas at Austin Moody College of Communication, Speech Language and Hearing Sciences, Austin, TX, USA.
Nahar AlbudoorThe University of Texas at Austin Moody College of Communication, Speech Language and Hearing Sciences, Austin, TX, USA.
Austin College · USTemple University · USUniversity of California, Irvine · US

Funding

Cross-Language Outcomes of Bilingual Experience in Typical and Atypical DevelopmeR01DC010366 · NIDCD · UNIVERSITY OF TEXAS AT AUSTIN · PI PEÑA, ELIZABETH D · 2010 to 2014
$3.2M
NIDCD NIH HHS R01 DC010366
6 · The paper itself

Abstract

Children with Developmental language disorder (DLD) have particular difficulty learning language despite otherwise general normal development. When school age bilingual children struggle with language, a common question is if the difficulties they present reflect lack of ability or lack of language experience. To address the question of identification of DLD in the context of bilingualism, we explore the diagnostic accuracy of measures administered in two languages. The Bilingual English Spanish Assessment Middle Extension (BESA-ME) assesses semantics and morphosyntax and the Test of Narrative Language (TNL) assesses comprehension and production of narratives. These measures were administered to 112 second graders (19 with DLD) and 64 fourth graders (7 with DLD). We explored the classification accuracy of each of these measures alone and in combination using receiver operator characteristic (ROC) curve analysis. The ROC curve illustrates diagnostic classification of a measure at various cutpoints. We compared the extent to which measures in English, Spanish, or best language account for area under the (ROC) curve. Discriminant function analysis using the best indicator (Spanish, English, best language) from each type of measure (semantics, morphosyntax, narrative) in combination demonstrate classification accuracy above 80%. Morphosyntax in the best language was the strongest predictor of DLD for second grade children. In fourth grade, the three measures contributed more equally in predicting DLD.

Identifiers

PMID35895289
PMCPMC9311479
OpenAlexW3090763109

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.