Evidence map›Paper›PMID 39538380›Full record

ArticleDevelopmental science2025

Bursty, Irregular Speech Input to Children Predicts Vocabulary Size.

Margaret Cychosz, Rachel R Romeo, Jan R Edwards, Rochelle S Newman

Abstract read
In one paragraph

Article in Developmental science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Theoretical and Methodological Insights From Five Transcribed and Annotated Daylong Audio Recordings of Young Children's Language Environments.Perspectives on psychological science : a journal of the Association for Psychological Science · 2026
    Article
  2. Article
  3. Review
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

4 authors.

Margaret CychoszDepartment of Linguistics, University of California, Los Angeles, California, USA.ORCID https://orcid.org/0000-0001-7523-0503
Rachel R RomeoDepartment of Hearing and Speech Sciences, University of Maryland, College Park, Maryland, USA.
Jan R EdwardsDepartment of Hearing and Speech Sciences, University of Maryland, College Park, Maryland, USA.
Rochelle S NewmanDepartment of Hearing and Speech Sciences, University of Maryland, College Park, Maryland, USA.

Funding

Longitudinal Study of Vocabulary Growth and Phonological DevelopmentR01DC002932 · NIDCD · UNIV OF MARYLAND, COLLEGE PARK · PI BECKMAN, MARY E., EDWARDS, JAN · 1998 to 2015
$4.9M
Language Input as a Mechanism Underlying Socioeconomic Disparities in Neurocognitive DevelopmentR00HD103873 · NICHD · UNIV OF MARYLAND, COLLEGE PARK · PI ROMEO, RACHEL RENE · 2022 to 2024
$1.1M
How children with cochlear implants learn speech from their environmentsF32DC019539 · NIDCD · UNIV OF MARYLAND, COLLEGE PARK · PI CYCHOSZ, MARGARET EMILYN · 2021 to 2022
$137k
Language Input as a Mechanism Underlying Socioeconomic Disparities in Neurocognitive DevelopmentK99HD103873 · NICHD · HARVARD UNIVERSITY · PI ROMEO, RACHEL RENE · 2021 to 2021
$128k
Effects of linguistic input on the neural capacity for language developmentF31HD086957 · NICHD · HARVARD MEDICAL SCHOOL · PI ROMEO, RACHEL RENE · 2016 to 2017
$55k
NICHD NIH HHS F31 HD086957NICHD NIH HHS K99 HD103873NICHD NIH HHS R00 HD103873NIDCD NIH HHS F32 DC019539NIDCD NIH HHS R01 DC002932
6 · The paper itself

Abstract

Children learn language by listening to speech from caregivers around them. However, the type and quantity of speech input that children are exposed to change throughout early childhood in ways that are poorly understood due to the small samples (few participants, limited hours of observation) typically available in developmental psychology. Here we used child-centered audio recorders to unobtrusively measure speech input in the home to 292 children (aged 2-7 years), acquiring English in the United States, over 555 distinct days (approximately 8600 total hours of observation, or 29.62 h/child). These large timescales allowed us to compare how different dimensions of child-directed speech input (quantity, burstiness) varied throughout early childhood. We then evaluated the relationship between each dimension of input and children's concurrent receptive vocabulary size. We found that the burstiness of speech input (spikes of words) was a stronger correlate with age than the quantity of speech input. Input burstiness was also a stronger predictor than input quantity for children's vocabulary size: children who heard spiky, more intense bouts of input had larger vocabularies. Overall, these results reaffirm the importance of speech input in the home for children's language development and support exposure-consolidation models of early language development.

Indexed as

Language DevelopmentSpeechVocabularyChildChild LanguageChild, PreschoolFemaleHumansMaleSpeech Perceptionearly childhoodhome environmentlanguage developmentsocialization

Identifiers

PMID39538380
PMCPMC12313352

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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.