Using eye-tracking measures to predict reading comprehension
Journal article
Mézière, Diane C., Yu, Lili, Reichle, Erik D., von der Malsburg, Titus and McArthur, Genevieve. (2023). Using eye-tracking measures to predict reading comprehension. Reading Research Quarterly. 58(3), pp. 425-449. https://doi.org/10.1002/rrq.498
Authors | Mézière, Diane C., Yu, Lili, Reichle, Erik D., von der Malsburg, Titus and McArthur, Genevieve |
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Abstract | This study examined the potential of eye-tracking as a tool for assessing reading comprehension. We administered three widely used reading comprehension tests with varying task demands to 79 typical adult readers while monitoring their eye movements. In the York Assessment of Reading for Comprehension (YARC), participants were given passages of text to read silently, followed by comprehension questions. In the Gray Oral Reading Test (GORT-5), participants were given passages of text to read aloud, followed by comprehension questions. In the sentence comprehension subtest of the Wide Range Achievement Test (WRAT-4), participants were asked to provide a missing word in sentences that they read silently (i.e., a cloze task). Linear models predicting comprehension scores from eye-tracking measures yielded different results for the three tests. Eye-tracking measures explained significantly more variance than reading-speed data for the YARC (four times better), GORT (three times better), and the WRAT (1.3 time better). Importantly, there was no common strong predictor for all three tests. These results support growing recognition that reading comprehension tests do not measure the same cognitive processes, and that participants adapt their reading strategies to the tests' varying task demands. This study also suggests that eye-tracking may provide a useful alternative for measuring reading comprehension |
Keywords | reading comprehension; eye-tracking ; eye movements; reading comprehension tests |
Year | 01 Jan 2023 |
Journal | Reading Research Quarterly |
Journal citation | 58 (3), pp. 425-449 |
Publisher | John Wiley & Sons, Inc. (US) |
ISSN | 0034-0553 |
Digital Object Identifier (DOI) | https://doi.org/10.1002/rrq.498 |
Web address (URL) | https://ila.onlinelibrary.wiley.com/doi/10.1002/rrq.498 |
Open access | Open access |
Research or scholarly | Research |
Page range | 425-449 |
Publisher's version | License File Access Level Open |
Output status | Published |
Publication dates | |
Online | 04 Apr 2023 |
Publication process dates | |
Accepted | 06 Mar 2023 |
Deposited | 26 Jul 2024 |
Supplemental file | License File Access Level Open |
ARC Funded Research | This output has been funded, wholly or partially, under the Australian Research Council Act 2001 |
Grant ID | DP190100719 |
DP200100311 | |
Additional information | © 2023 The Authors. |
Reading Research Quarterly published by Wiley Periodicals LLC on behalf of International Literacy Association. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. | |
Research funding: Australian Research Council, | |
This research was supported by an International Macquarie University Research Excellence Scholarship (iMQRES) and two Australian Research Council grants (DP190100719 & DP200100311). | |
Place of publication | United States |
https://acuresearchbank.acu.edu.au/item/90v75/using-eye-tracking-measures-to-predict-reading-comprehension
Download files
Publisher's version
OA_McArthur_2023_Using_eye_tracking_measures_to_predict.pdf | |
License: CC BY 4.0 | |
File access level: Open |
Supplemental file
SM_McArthur_2023_Using_eye_tracking_measures_to_predict.pdf | |
License: CC BY 4.0 | |
File access level: Open |
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