Evidence map›Paper›PMID 32058092›Full record

ArticleJournal of fluency disorders2020

Lexical diversity and lexical skills in children who stutter.

Courtney Luckman, Stacy A Wagovich, Christine Weber, Barbara Brown, Soo-Eun Chang, Nancy E Hall, Nan Bernstein Ratner

Abstract read
In one paragraph

Article in Journal of fluency disorders, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

7 authors.

Courtney LuckmanDepartment of Hearing and Speech Sciences, University of Maryland, College Park, MD, 20742, United States. Electronic address: courtney.luckman@gmail.com.
Stacy A WagovichDepartment of Speech, Language and Hearing Sciences, University of Missouri, Columbia, MO, 65211, United States.
Christine WeberDepartment of Speech, Language, and Hearing Sciences, Purdue University, West Lafayette, IN, 47907, United States.
Barbara BrownDepartment of Speech, Language, and Hearing Sciences, Purdue University, West Lafayette, IN, 47907, United States.
Soo-Eun ChangDepartment of Psychiatry, University of Michigan, Ann Arbor, MI, 48109, United States.
Nancy E HallDepartment of Communication Sciences and Disorders, University of Maine, Orono, ME, 04469, United States.
Nan Bernstein RatnerDepartment of Hearing and Speech Sciences, University of Maryland, College Park, MD, 20742, United States. Electronic address: nratner@umd.edu.

Funding

Sexual dimorphism of neural development underlying childhood stutteringR01DC011277 · NIDCD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Soo-Eun Chang · 2010 to 2026
$8.2M
COMPUTATIONAL ANALYSIS OF CHILD LANGUAGE TRANSCRIPT DATAR01HD023998 · NICHD · CARNEGIE-MELLON UNIVERSITY · PI MACWHINNEY, BRIAN · 1988 to 2013
$3.7M
A shared database for the study of the development of language fluencyR01DC015494 · NIDCD · CARNEGIE-MELLON UNIVERSITY · PI MACWHINNEY, BRIAN · 2016 to 2020
$1.6M
NICHD NIH HHS R01 HD023998NIDCD NIH HHS R01 DC011277NIDCD NIH HHS R01 DC015494
6 · The paper itself

Abstract

purposeNumerous "small N" studies of language ability in children who stutter have produced differing conclusions. We combined test and spontaneous language data from a large cohort of children who stutter (CWS) and typically fluent peers, gathered from independent laboratories across the US, to appraise a variety of lexical measures.

methodStandardized receptive and expressive vocabulary test data and spontaneous language samples from 99 pairs of CWS (ages 25-100 months), and age-, gender-, and SES-matched children who do not stutter (CWNS) were compared. Language sample transcripts were analyzed with four measures of lexical diversity. Correlations between lexical diversity measures and expressive vocabulary scores were also calculated.

resultsOn standardized tests of both receptive and expressive vocabulary, there were significant differences between CWS and CWNS. In contrast, on spontaneous language measures of lexical diversity, CWS did not differ in their lexical diversity, across analyses, compared to CWNS. Three of the four lexical diversity analyses, MATTR, VocD, and NDW, were significantly correlated with each other.

conclusionsWe were able to confirm prior findings of relative disadvantage on standardized vocabulary tests for a very large sample of well-matched CWS. However, spontaneous language measures of lexical diversity did not distinguish the groups. This relative weakness in CWS may emerge from task differences: CWS are free to encode their own spontaneous utterances but must comply with explicit lexical prompts in standardized testing situations.

Indexed as

LanguageStutteringVocabularyAlgorithmsCase-Control StudiesChildChild, PreschoolFemaleHumansLanguage TestsLinguisticsMaleFluencyLanguageLexical diversityStuttering

Identifiers

PMID32058092
PMCPMC7065723

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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.