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Rapid Online Assessment of Reading Ability

View ORCID ProfileJason 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, View ORCID ProfileBenjamin W. Domingue
doi: https://doi.org/10.1101/2020.07.30.229658
Jason D. Yeatman
1Stanford University School of Medicine, Division of Developmental-Behavioral Pediatrics, Stanford, CA, USA
2Stanford University Graduate School of Education, Stanford, CA, USA
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  • For correspondence: jyeatman@stanford.edu
Kenny An Tang
1Stanford University School of Medicine, Division of Developmental-Behavioral Pediatrics, Stanford, CA, USA
2Stanford University Graduate School of Education, Stanford, CA, USA
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Patrick M. Donnelly
3University of Washington, Institute for Learning & Brain Science, Seattle, WA, USA
4University of Washington, Department of Speech & Hearing Sciences, Seattle, WA, USA
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Maya Yablonski
1Stanford University School of Medicine, Division of Developmental-Behavioral Pediatrics, Stanford, CA, USA
2Stanford University Graduate School of Education, Stanford, CA, USA
5The Gonda Multidisciplinary Brain Research Center, Bar Ilan University, Ramat-Gan, Israel
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Mahalakshmi Ramamurthy
1Stanford University School of Medicine, Division of Developmental-Behavioral Pediatrics, Stanford, CA, USA
2Stanford University Graduate School of Education, Stanford, CA, USA
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Iliana I. Karipidis
6Center for Interdisciplinary Brain Sciences Research, Department of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Stanford, CA, USA
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Sendy Caffarra
1Stanford University School of Medicine, Division of Developmental-Behavioral Pediatrics, Stanford, CA, USA
2Stanford University Graduate School of Education, Stanford, CA, USA
7Basque Center on Cognition, Brain and Language, San Sebastian, Spain
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Megumi E. Takada
1Stanford University School of Medicine, Division of Developmental-Behavioral Pediatrics, Stanford, CA, USA
2Stanford University Graduate School of Education, Stanford, CA, USA
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Klint Kanopka
2Stanford University Graduate School of Education, Stanford, CA, USA
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Michal Ben-Shachar
5The Gonda Multidisciplinary Brain Research Center, Bar Ilan University, Ramat-Gan, Israel
8Department of English Literature and Linguistics, Bar-Ilan University, Ramat-Gan, Israel
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Benjamin W. Domingue
2Stanford University Graduate School of Education, Stanford, CA, USA
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  • ORCID record for Benjamin W. Domingue
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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 minutes) 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.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • Added new results for study 2

  • https://github.com/yeatmanlab/ROAR-LDT-Public

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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Posted January 11, 2021.
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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, Benjamin W. Domingue
bioRxiv 2020.07.30.229658; doi: https://doi.org/10.1101/2020.07.30.229658
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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, Benjamin W. Domingue
bioRxiv 2020.07.30.229658; doi: https://doi.org/10.1101/2020.07.30.229658

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