Evidence map›Paper›PMID 35305028›Full record

SynthesisChild development2022

A systematic review and Bayesian meta-analysis of the development of turn taking in adult-child vocal interactions.

Vivian Nguyen, Otto Versyp, Christopher Cox, Riccardo Fusaroli

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Child development, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Parents' neural dynamics in response to their children's speech.bioRxiv : the preprint server for biology · 2026
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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.

Vivian NguyenPsychology, Ghent University, Gent, Belgium.
Otto VersypPsychology, Ghent University, Gent, Belgium.ORCID 0000-0002-9536-3634
Christopher CoxDepartment of Linguistic, Cognitive Science and Semiotics, Aarhus University, Aarhus, Denmark.
Riccardo FusaroliDepartment of Linguistic, Cognitive Science and Semiotics, Aarhus University, Aarhus, Denmark.ORCID 0000-0003-4775-5219

Funding

Early Predictors to School Age Language: Individual and Interactional Child and Parent FactorsR01DC016665 · NIDCD · UNIVERSITY OF CONNECTICUT STORRS · PI NAIGLES, LETITIA R · 2019 to 2023
$1.6M
NIDCD NIH HHS R01 DC016665
6 · The paper itself

Abstract

Fluent conversation requires temporal organization between conversational exchanges. By performing a systematic review and Bayesian multi-level meta-analysis, we map the trajectory of infants' turn-taking abilities over the course of early development (0 to 70 months). We synthesize the evidence from 26 studies (78 estimates from 429 unique infants, of which at least 152 are female) reporting response latencies in infant-adult dyadic interactions. The data were collected between 1975 and 2019, exclusively in North America and Europe. Infants took on average circa 1 s to respond, and the evidence of changes in response over time was inconclusive. Infants' response latencies are related to those of their adult conversational partners: an increase of 1 s in adult response latency (e.g., 400 to 1400 ms) would be related to an increase of over 1 s in infant response latency (from 600 to 1857 ms). These results highlight the dynamic reciprocity involved in the temporal organization of turn-taking. Based on these results, we provide recommendations for future avenues of enquiry: studies should analyze how turn-by-turn exchanges develop on a longitudinal timescale, with rich assessment of infants' linguistic and social development.

Indexed as

Bayes TheoremAdultEuropeFemaleHumansInfantMale

Identifiers

PMID35305028
PMCPMC9271548

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.