Evidence map›Paper›PMID 33138541›Full record

ArticleThe Journal of the Acoustical Society of America2020

Context effects on phoneme categorization in children with dyslexia.

Gabrielle E O'Brien, Liesbeth Gijbels, Jason D Yeatman

Abstract read
In one paragraph

Article in The Journal of the Acoustical Society of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Gabrielle E O'BrienInstitute for Learning and Brain Sciences, University of Washington, Seattle, Washington 98105, USA.
Liesbeth GijbelsInstitute for Learning and Brain Sciences, University of Washington, Seattle, Washington 98105, USA.
Jason D YeatmanGraduate School of Education, Stanford University, Stanford, California 94305, USA.

Funding

THE FLORIDA LONGITUDINAL STUDYP50HD052120 · NICHD · FLORIDA STATE UNIVERSITY · PI CHRIS W SCHATSCHNEIDER · 2006 to 2026
$31.7M
Auditory Neuroscience Traning ProgramT32DC005361 · NIDCD · UNIVERSITY OF WASHINGTON · PI Adrian KC Lee, DAVID J PERKEL · 2002 to 2026
$8.8M
Biological origins of literacyR21HD092771 · NICHD · UNIVERSITY OF WASHINGTON · PI KUHL, PATRICIA K, YEATMAN, JASON D · 2018 to 2019
$435k
NICHD NIH HHS P50 HD052120NICHD NIH HHS R21 HD092771NIDCD NIH HHS T32 DC005361
6 · The paper itself

Abstract

Research shows that, on average, children with dyslexia behave less categorically in phoneme categorization tasks. This study investigates three subtle ways that struggling readers may perform differently than their typically developing peers in this experimental context: sensitivity to the frequency distribution from which speech tokens are drawn, bias induced by previous stimulus presentations, and fatigue during the course of the task. We replicate findings that reading skill is related to categorical labeling, but we do not find evidence that sensitivity to the stimulus frequency distribution, the influence of previous stimulus presentations, and a measure of task engagement differs in children with dyslexia. It is, therefore, unlikely that the reliable relationship between reading skill and categorical labeling is attributable to artifacts of the task design, abnormal neural encoding, or executive function. Rather, categorical labeling may index a general feature of linguistic development whose causal relationship to literacy remains to be ascertained.

Indexed as

DyslexiaPhoneticsSpeech PerceptionChildFemaleHumansMaleReadingSpeech

Identifiers

PMID33138541
PMCPMC7575329

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.