Evidence map›Paper›PMID 36002623›Full record

ArticleBehavior research methods2023

Peekbank: An open, large-scale repository for developmental eye-tracking data of children's word recognition.

Martin Zettersten, Daniel Yurovsky, Tian Linger Xu, Sarp Uner, Angeline Sin Mei Tsui, Rose M Schneider, Annissa N Saleh, Stephan C Meylan, Virginia A Marchman, Jessica Mankewitz and 12 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Behavior research methods, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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  6. Rapid infant learning of syntactic-semantic links.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
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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

22 authors.

Martin ZetterstenDepartment of Psychology, Princeton University, 218 Peretsman Scully Hall, Princeton, NJ, 08540, USA. martincz@princeton.edu.ORCID 0000-0002-0444-7059
Daniel YurovskyDepartment of Psychology, Carnegie Mellon University, Pittsburgh, PA, USA.
Tian Linger XuDepartment of Psychological and Brain Sciences, Indiana University, Bloomington, IN, USA.
Sarp UnerData Science Institute, Vanderbilt University, Nashville, TN, USA.
Angeline Sin Mei TsuiDepartment of Psychology, Stanford University, Stanford, CA, USA.
Rose M SchneiderDepartment of Psychology, University of California, San Diego, CA, USA.
Annissa N SalehDepartment of Psychology, The University of Texas at Austin, Austin, TX, USA.
Stephan C MeylanDepartment of Psychology and Neuroscience, Duke University, Durham, NC, USA.
Virginia A MarchmanDepartment of Psychology, Stanford University, Stanford, CA, USA.
Jessica MankewitzDepartment of Psychology, Stanford University, Stanford, CA, USA.
Kyle MacDonaldCore Technology, McD Tech Labs, Mountain View, CA, USA.
Bria LongDepartment of Psychology, Stanford University, Stanford, CA, USA.
Molly LewisDepartment of Psychology, Carnegie Mellon University, Pittsburgh, PA, USA.
George KachergisDepartment of Psychology, Stanford University, Stanford, CA, USA.
Kunal HandaBrown University, Providence, RI, USA.
Benjamin deMayoDepartment of Psychology, Princeton University, 218 Peretsman Scully Hall, Princeton, NJ, 08540, USA.
Alexandra CarstensenDepartment of Psychology, University of California, San Diego, CA, USA.
Mika BraginskyDepartment of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA.
Veronica BoyceDepartment of Psychology, Stanford University, Stanford, CA, USA.
Naiti S BhattDepartment of Psychology, New York University, New York, NY, USA.
Claire Augusta BergeyDepartment of Psychology, University of Chicago, Chicago, IL, USA.
Michael C FrankDepartment of Psychology, Stanford University, Stanford, CA, USA.

Funding

Predicting language processing efficiency in preterm children: Social-environmental and neuro-biological factorsR01HD069150 · NICHD · STANFORD UNIVERSITY · PI FELDMAN, HEIDI M. · 2011 to 2024
$5.8M
Early language processing skill and school-relevant outcomes in emerging bilingual studentsR01HD092343 · NICHD · STANFORD UNIVERSITY · PI FERNALD, ANNE · 2017 to 2021
$2.7M
NICHD NIH HHS R01 HD069150NICHD NIH HHS R01 HD092343
6 · The paper itself

Abstract

The ability to rapidly recognize words and link them to referents is central to children's early language development. This ability, often called word recognition in the developmental literature, is typically studied in the looking-while-listening paradigm, which measures infants' fixation on a target object (vs. a distractor) after hearing a target label. We present a large-scale, open database of infant and toddler eye-tracking data from looking-while-listening tasks. The goal of this effort is to address theoretical and methodological challenges in measuring vocabulary development. We first present how we created the database, its features and structure, and associated tools for processing and accessing infant eye-tracking datasets. Using these tools, we then work through two illustrative examples to show how researchers can use Peekbank to interrogate theoretical and methodological questions about children's developing word recognition ability.

Indexed as

Eye-Tracking TechnologyLanguage DevelopmentAuditory PerceptionHumansInfantVocabularyEye-trackingLexical processingLooking-while-listeningVisual world paradigmVocabulary developmentWord recognition

Identifiers

PMID36002623
PMCPMC9950292

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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.