Evidence map›Paper›PMID 25677929›Full record

ArticleJournal of speech, language, and hearing research : JSLHR2015

Are Young Children With Cochlear Implants Sensitive to the Statistics of Words in the Ambient Spoken Language?

Ling-Yu Guo, Karla K McGregor, Linda J Spencer

Abstract read
In one paragraph

Article in Journal of speech, language, and hearing research : JSLHR, 2015. 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.

  1. Article
  2. Article
  3. Article
  4. Early Vocabulary Profiles of Young Deaf Children Who Use Cochlear Implants.Journal of speech, language, and hearing research : JSLHR · 2020
    Article
  5. Article
  6. Review
  7. 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.

Ling-Yu Guo
Karla K McGregor
Linda J Spencer

Funding

Speech Production &LanguageP50DC000242 · NIDCD · UNIVERSITY OF IOWA · PI Bob McMurray · 1989 to 2026
$58.8M
NIDCD NIH HHS 5 P50DC00242NIDCD NIH HHS P50 DC000242
6 · The paper itself

Abstract

purposeThe purpose of this study was to determine whether children with cochlear implants (CIs) are sensitive to statistical characteristics of words in the ambient spoken language, whether that sensitivity changes in expected ways as their spoken lexicon grows, and whether that sensitivity varies with unilateral or bilateral implantation.

methodWe analyzed archival data collected from the parents of 36 children who received cochlear implantation (20 unilateral, 16 bilateral) before 24 months of age. The parents reported their children's word productions 12 months after implantation using the MacArthur Communicative Development Inventories: Words and Sentences (Fenson et al., 1993). We computed the number of words, out of 292 possible monosyllabic nouns, verbs, and adjectives, that each child was reported to say and calculated the average phonotactic probability, neighborhood density, and word frequency of the reported words.

resultsSpoken vocabulary size positively correlated with average phonotactic probability and negatively correlated with average neighborhood density, but only in children with bilateral CIs.

conclusionAt 12 months postimplantation, children with bilateral CIs demonstrate sensitivity to statistical characteristics of words in the ambient spoken language akin to that reported for children with normal hearing during the early stages of lexical development. Children with unilateral CIs do not.

Indexed as

Child LanguageCochlear ImplantsLinguisticsSpeech PerceptionChild, PreschoolDeafnessFemaleHumansInfantLanguage TestsMaleStatistics as Topic

Identifiers

PMID25677929
PMCPMC4490103

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.