Evidence map›Paper›PMID 35148490›Full record

ArticleJournal of speech, language, and hearing research : JSLHR2022

Working Memory Predicts New Word Learning Over and Above Existing Vocabulary and Nonverbal IQ.

Shelley I Gray, Roy Levy, Mary Alt, Tiffany P Hogan, Nelson Cowan

Abstract read
In one paragraph

Article in Journal of speech, language, and hearing research : JSLHR, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Direct Instruction Improves Word Learning for Children With Developmental Language Disorder.Journal of speech, language, and hearing research : JSLHR · 2022
    Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. The Relation Between Attention and Memory.Annual review of psychology · 2024
    Review
  8. Article
  9. Article
  10. Article
  11. 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

5 authors.

Shelley I GrayArizona State University, Tempe.ORCID 0000-0002-7258-547X
Roy LevyArizona State University, Tempe.ORCID 0000-0001-7737-9176
Mary AltThe University of Arizona, Tucson.ORCID 0000-0003-0642-4878
Tiffany P HoganMGH Institute of Health Professions, Boston, MA.ORCID 0000-0003-2160-6995
Nelson CowanUniversity of Missouri, Columbia.ORCID 0000-0003-3711-4338

Funding

Working Memory and Word Learning in Children with Typical Development and LanguagR01DC010784 · NIDCD · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI GRAY, SHELLEY I, PHD, CCC-SLP · 2011 to 2022
$5.8M
NIDCD NIH HHS R01 DC010784
6 · The paper itself

Abstract

purposeThe purpose of this study was to use an established model of working memory in children to predict an established model of word learning to determine whether working memory explained word learning variance over and above the contributions of expressive vocabulary and nonverbal IQ.

methodOne hundred sixty-seven English-speaking second graders (7- to 8-year-olds) with typical development from two states participated. They completed a comprehensive battery of working memory assessments and six word learning tasks that assessed the creation, storage, retrieval, and production of phonological and semantic representations of novel nouns and verbs and the ability to link those representations.

resultsA structural equation model with expressive vocabulary, nonverbal IQ, and three working memory factors predicting two word learning factors fit the data well. When working memory factors were entered as predictors after expressive vocabulary and nonverbal IQ, they explained 45% of the variance in the phonological word learning factor and 17% of the variance in the semantic word learning factor. Thus, working memory explained a significant amount of word learning variance over and above expressive vocabulary and nonverbal IQ.

conclusionResults show that working memory is a significant predictor of dynamic word learning over and above the contributions of expressive vocabulary and nonverbal IQ, suggesting that a comprehensive working memory assessment has the potential to identify sources of word learning difficulties and to tailor word learning interventions to a child's working memory strengths and weaknesses. SUPPLEMENTAL MATERIAL: https://doi.org/10.23641/asha.19125911.

Indexed as

Memory, Short-TermVocabularyChildHumansPhoneticsSemanticsVerbal Learning

Identifiers

PMID35148490
PMCPMC9150727

What OpenQuestion holds

Textmetadata
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.