Evidence map›Paper›PMID 34566781›Full record

ArticleFrontiers in psychology2021

A Global Perspective on Testing Infants Online: Introducing ManyBabies-AtHome.

Lorijn Zaadnoordijk, Helen Buckler, Rhodri Cusack, Sho Tsuji, Christina Bergmann

Abstract read
In one paragraph

Article in Frontiers in psychology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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  9. Parental Report via a Mobile App in the Context of Early Language Trajectories: StarWords Study Protocol.International journal of environmental research and public health · 2022
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  15. Validation of an open source, remote web-based eye-tracking method (WebGazer) for research in early childhood.Infancy : the official journal of the International Society on Infant Studies
    Article
  16. 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

5 authors.

Lorijn ZaadnoordijkTrinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland.
Helen BucklerSchool of English, University of Nottingham, Nottingham, United Kingdom.
Rhodri CusackTrinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland.
Sho TsujiInternational Research Center for Neurointelligence, The University of Tokyo, Tokyo, Japan.
Christina BergmannMax Planck Institute for Psycholinguistics, Nijmegen, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Online testing holds great promise for infant scientists. It could increase participant diversity, improve reproducibility and collaborative possibilities, and reduce costs for researchers and participants. However, despite the rise of platforms and participant databases, little work has been done to overcome the challenges of making this approach available to researchers across the world. In this paper, we elaborate on the benefits of online infant testing from a global perspective and identify challenges for the international community that have been outside of the scope of previous literature. Furthermore, we introduce ManyBabies-AtHome, an international, multi-lab collaboration that is actively working to facilitate practical and technical aspects of online testing and address ethical concerns regarding data storage and protection, and cross-cultural variation. The ultimate goal of this collaboration is to improve the method of testing infants online and make it globally available.

Indexed as

global collaborationinfancymethod developmentonline testingreplicability

Identifiers

PMID34566781
PMCPMC8458619

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.