Evidence map›Paper›PMID 42525893›Full record

ArticleJournal of speech, language, and hearing research : JSLHR2026

Interactive Effects of Executive Function and Language Ability on Children's Cross-Situational Word Learning.

Kimberly Crespo, Malvika Khandelwal, Gabriela Rushi

Abstract read
In one paragraph

Article in Journal of speech, language, and hearing research : JSLHR, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Kimberly CrespoDepartment of Speech, Language & Hearing Sciences, Boston University, MA.ORCID 0000-0002-7232-2493
Malvika KhandelwalDepartment of Speech, Language & Hearing Sciences, Boston University, MA.ORCID 0009-0009-6827-2022
Gabriela RushiDepartment of Speech, Language & Hearing Sciences, Boston University, MA.

Funding

Advanced Research Training in Communication Sciences and DisordersT32DC013017 · NIDCD · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI Cara E. Stepp · 2016 to 2026
$4.9M
Dual language input, semantic structure and word learning in typically developing and late talking bilingual childrenK23DC022006 · NIDCD · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI Kimberly Crespo · 2024 to 2026
$578k
NIDCD NIH HHS K23 DC022006NIDCD NIH HHS T32 DC013017
6 · The paper itself

Abstract

purposeThis study examined whether executive function (EF) skills predict cross-situational word learning (CSWL) in children and whether EF-CSWL relationships vary as a function of language ability, including in children with developmental language disorder (DLD).

methodFifty monolingual English-speaking children 5-9 years of age completed a CSWL task in which they learned five novel words. EF was measured using indices derived from the dimensional change card sort task, indexing shifting, inhibitory control, and monitoring skills.

resultsEF skills predicted CSWL, but critically, language ability moderated these effects. Specifically, statistical word learning performance improved as shifting and monitoring skills increased, but only in children with average-to-high language skills. Weaker EF skills attenuated the benefit of language ability on statistical word learning in children with robust language systems. Across models, EF explained little variance in CSWL performance in children with weaker language skills, including those with DLD. Inhibitory control, as measured here, played a minimal role in CSWL across children with different language profiles. Lastly, language ability uniquely predicted CSWL, and performance improved with age.

conclusionsThe findings refine theoretical accounts of CSWL by showing that statistical word learning may depend on the dynamic interplay between executive control and language ability. Results indicate that poor CSWL in children may not stem from a deficit in a single domain (e.g., language or EF), especially among children with weaker or atypical language profiles. These results underscore the need for language acquisition models to incorporate EF-language interactions. SUPPLEMENTAL MATERIAL: https://doi.org/10.23641/asha.33061790.

Indexed as

Child LanguageExecutive FunctionLanguage Development DisordersVerbal LearningChildChild, PreschoolFemaleHumansLanguage TestsMaleVocabulary

Identifiers

PMID42525893
PMCPMC13577951

What OpenQuestion holds

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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.