Evidence map›Paper›PMID 33737729›Full record

ArticleScientific reports2021

Rapid online assessment of reading ability.

Jason D Yeatman, Kenny An Tang, Patrick M Donnelly, Maya Yablonski, Mahalakshmi Ramamurthy, Iliana I Karipidis, Sendy Caffarra, Megumi E Takada, Klint Kanopka, Michal Ben-Shachar and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 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.

  1. Article
  2. Article
  3. Reading ability conflates SES creativity gaps.NPJ science of learning · 2026
    Article
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  14. Understanding the interplay between executive functions and reading development: A challenge for researchers and practitioners alike.Mind, brain and education : the official journal of the International Mind, Brain, and Education Society · 2023
    Article
  15. Article
  16. 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

11 authors.

Jason D Yeatman *Division of Developmental-Behavioral Pediatrics, Stanford University School of Medicine, Stanford, CA, USA. jyeatman@stanford.edu.
Kenny An Tang *Division of Developmental-Behavioral Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.
Patrick M DonnellyInstitute for Learning and Brain Science, University of Washington, Seattle, WA, USA.
Maya YablonskiDivision of Developmental-Behavioral Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.
Mahalakshmi RamamurthyDivision of Developmental-Behavioral Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.
Iliana I KaripidisDepartment of Psychiatry and Behavioral Sciences, School of Medicine, Center for Interdisciplinary Brain Sciences Research, Stanford University, Stanford, CA, USA.
Sendy CaffarraDivision of Developmental-Behavioral Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.
Megumi E TakadaDivision of Developmental-Behavioral Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.
Klint KanopkaStanford University Graduate School of Education, Stanford, CA, USA.
Michal Ben-ShacharThe Gonda Multidisciplinary Brain Research Center, Bar Ilan University, Ramat-Gan, Israel.
Benjamin W DomingueStanford University Graduate School of Education, 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
6 · The paper itself

Abstract

An accurate model of the factors that contribute to individual differences in reading ability depends on data collection in large, diverse and representative samples of research participants. However, that is rarely feasible due to the constraints imposed by standardized measures of reading ability which require test administration by trained clinicians or researchers. Here we explore whether a simple, two-alternative forced choice, time limited lexical decision task (LDT), self-delivered through the web-browser, can serve as an accurate and reliable measure of reading ability. We found that performance on the LDT is highly correlated with scores on standardized measures of reading ability such as the Woodcock-Johnson Letter Word Identification test (r = 0.91, disattenuated r = 0.94). Importantly, the LDT reading ability measure is highly reliable (r = 0.97). After optimizing the list of words and pseudowords based on item response theory, we found that a short experiment with 76 trials (2-3 min) provides a reliable (r = 0.95) measure of reading ability. Thus, the self-administered, Rapid Online Assessment of Reading ability (ROAR) developed here overcomes the constraints of resource-intensive, in-person reading assessment, and provides an efficient and automated tool for effective online research into the mechanisms of reading (dis)ability.

Indexed as

ReadingAdolescentAdultChildDecision MakingFemaleHumansMalePattern Recognition, VisualYoung Adult

Identifiers

PMID33737729
PMCPMC7973435

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.