Evidence map›Paper›PMID 38965827›Full record

ArticleClinical linguistics & phonetics

Using language sample analyses across English dialects: A case-based approach for preschoolers.

Leslie E Kokotek, Karla N Washington, Nicole Bazzocchi

Abstract read
In one paragraph

Article in Clinical linguistics & phonetics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
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

3 authors.

Leslie E KokotekDepartment of Communication Sciences and Disorders, University of Cincinnati, Cincinnati, Ohio, USA.
Karla N WashingtonDepartment of Communication Sciences and Disorders, University of Cincinnati, Cincinnati, Ohio, USA.
Nicole BazzocchiDepartment of Speech-Language Pathology, University of Toronto, Toronto, Ontario, Canada.

Funding

Neuroimaging Reveals Treatment-Related Changes in DLD: A Randomized Controlled TrialR01DC019337 · NIDCD · UNIVERSITY OF TORONTO · PI Karla N Washington · 2021 to 2026
$3.5M
Characterizing Bilingual Speech Sound Production in Jamaican Creole and English-Speaking PreschoolersR21DC018170 · NIDCD · UNIVERSITY OF TORONTO · PI WASHINGTON, KARLA N · 2019 to 2020
$479k
NIDCD NIH HHS R01 DC019337NIDCD NIH HHS R21 DC018170
6 · The paper itself

Abstract

This study compared language samples from typically developing 4-year-olds who spoke African American English (AAE), Jamaican English (JE), or Mainstream American English (MAE) to assess the value of using language sample analysis (LSA) measures for characterising language use across dialects of English. Specific LSA metrics included mean length of utterance (MLU) in morphemes and in words, the Index of Productive Syntax (IPSyn), Developmental Sentence Scoring (DSS) and measures of lexical diversity. Children demonstrated diverse linguistic patterns across dialects, but a Kruskal-Wallis H test did not reveal significant differences in scores obtained through LSA measures. Notably, the IPSyn captured morphosyntactic structures in each category across dialects where prior research has highlighted limitations. This preliminary study uses a case-based approach to illustrate the applicability of LSAs in describing linguistic variations across children who speak different dialects of English. Moreover, the findings from this study underscore the potential use of LSAs in describing linguistic patterns to support the characterisation of communication profiles for culturally and linguistically diverse children.

Indexed as

Child LanguageLanguageLinguisticsBlack or African AmericanChild, PreschoolFemaleHumansJamaicaLanguage DevelopmentLanguage TestsMaleWhiteIPSynLanguage samplelinguistic diversity

Identifiers

PMID38965827
PMCPMC12091638

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Registered trials

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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.