Evidence map›Paper›PMID 40890989›Full record

ArticleCognitive science2025

The Development of Early Phonological Networks: An Analysis of Individual Longitudinal Vocabulary Growth.

Judith Kalinowski, Laura Hansel, Michaela Vystrčilová, Alexander Ecker, Nivedita Mani

Abstract read
In one paragraph

Article in Cognitive science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
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.

Judith KalinowskiPsychology of Language Research Group, University of Göttingen.
Laura HanselInstitute of Computer Science and Campus Institute Data Science, University of Göttingen.
Michaela VystrčilováInstitute of Computer Science and Campus Institute Data Science, University of Göttingen.
Alexander EckerInstitute of Computer Science and Campus Institute Data Science, University of Göttingen.
Nivedita ManiPsychology of Language Research Group, University of Göttingen.

Funding

Deutsche Forschungsgemeinschaft Project-ID 429844083Deutsche Forschungsgemeinschaft Project-ID 454648639Leibniz Science Campus Primate Cognition
6 · The paper itself

Abstract

While much work has emphasized the role of the environment in language learning, research equally reports consistent effects of the child's knowledge, in particular, the words known to individual children, in steering further lexical development. Much of this work is based on cross-sectional data, assuming that the words typically known to children at n months predict the words typically known to children at n+x months. Given acknowledged variability in the number of words known to individual children at different ages, a more conclusive analysis of this issue requires examination of individual differences in the words learned by individual children across development, that is, using longitudinal data. In the current study, using longitudinal vocabulary data from children learning Norwegian, we ask whether the phonological connectivity of a word to words that the child already knows or words in the child's environment predicts the likelihood of the child learning that word across development. The results suggest that the early vocabulary grows predominantly in a rich-get-richer manner, where word learning is predicted by the connectivity of a word to already known words. However, word learning is, to a lesser extent, also influenced by the connectivity of a word to words in the child's linguistic environment. Our results highlight the promise of using longitudinal data to better understand the factors that influence vocabulary development.

Indexed as

Language DevelopmentPhoneticsVerbal LearningVocabularyChild LanguageChild, PreschoolFemaleHumansInfantLongitudinal StudiesMaleNorwayLongitudinal vocabulary developmentPhonological distancePhonological networksWord learning

Identifiers

PMID40890989
PMCPMC12402682

What OpenQuestion holds

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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.