Evidence map›Paper›PMID 40715635›Full record

ArticleBehavior research methods2025

Design and validation of a rapid visual processing measure for screening reading difficulties in early childhood.

Mahalakshmi Ramamurthy, Klint Kanopka, Adam Richie-Halford, Benjamin W Domingue, Francesca Pei, Phaedra Bell, Lucy Yan, Andrea Hartsough, Maria Luisa Gorno-Tempini, Jason D Yeatman

Abstract readValidation Study
In one paragraph

Article in Behavior research methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

10 authors.

Mahalakshmi RamamurthyDevelopmental-Behavioral Pediatrics, School of Medicine & Graduate School of Education, Stanford University, Stanford, CA, USA. maha10@stanford.edu.
Klint KanopkaDevelopmental-Behavioral Pediatrics, School of Medicine & Graduate School of Education, Stanford University, Stanford, CA, USA.
Adam Richie-HalfordDevelopmental-Behavioral Pediatrics, School of Medicine & Graduate School of Education, Stanford University, Stanford, CA, USA.
Benjamin W DomingueDevelopmental-Behavioral Pediatrics, School of Medicine & Graduate School of Education, Stanford University, Stanford, CA, USA.
Francesca PeiWeill Institute for Neurosciences, University of California, San Francisco, CA, USA.
Phaedra BellWeill Institute for Neurosciences, University of California, San Francisco, CA, USA.
Lucy YanWeill Institute for Neurosciences, University of California, San Francisco, CA, USA.
Andrea HartsoughWeill Institute for Neurosciences, University of California, San Francisco, CA, USA.
Maria Luisa Gorno-TempiniWeill Institute for Neurosciences, University of California, San Francisco, CA, USA.
Jason D YeatmanDevelopmental-Behavioral Pediatrics, School of Medicine & Graduate School of Education, Stanford University, Stanford, CA, USA.

Funding

Neural mechanisms of successful intervention in children with dyslexiaR01HD095861 · NICHD · STANFORD UNIVERSITY · PI YEATMAN, JASON D · 2019 to 2024
$3.1M
National Institute of Child Health and Human Development R01HD095861NICHD NIH HHS R01 HD095861
6 · The paper itself

Abstract

As the development of visual processing abilities is known to precede the development of reading abilities, identifying visual measures that reliably correlate with reading measures has tremendous theoretical and practical importance. A major challenge in addressing this question empirically is developing reliable behavioral measures for developmental studies, because most tasks are not equally reliable across different age groups and require iterative design changes to ensure that the measure reliably indexes the intended construct across the developmental span. Here, we present a series of studies that show how to iteratively modify a behavioral task by data-informed task changes and the use of item response theory to reduce task redundancies and develop a fun, fast, reliable, and easy-to-deploy web-based measure for K/1/2-graders in school settings. Our results show, in a large, diverse, and representative sample (N ~ 1,550), that the ability to rapidly encode visual information reliably correlates with reading outcomes at the end of the academic year. The developed measure offers the potential for use as an early screening tool to identify children at risk for developing future reading challenges.

Indexed as

DyslexiaReadingVisual PerceptionChildChild, PreschoolFemaleHumansMaleReproducibility of ResultsEarly childhoodEarly visual processing abilitiesItem response theoryMeasure developmentReading disabilities

Identifiers

PMID40715635
PMCPMC12296926

What OpenQuestion holds

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LicenceCC BY
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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.