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Title: A new remote guided method for supervised web-based cognitive testing to ensure high-quality data: development and usability study
Authors: Leong, Victoria 
Raheel, Kausar
Sim, Jia Yi
Kacker, Kriti
Karlaftis, Vasilis M.
Vassiliu, Chrysoula
Kalaivanan, Kastoori
Chen, Annabel Shen-Hsing
Robbins, Trevor W.
Sahakian, Barbara J.
Kourtzi, Zoe
Keywords: Social sciences::General
Issue Date: 2022
Source: Leong, V., Raheel, K., Sim, J. Y., Kacker, K., Karlaftis, V. M., Vassiliu, C., Kalaivanan, K., Chen, A. S., Robbins, T. W., Sahakian, B. J. & Kourtzi, Z. (2022). A new remote guided method for supervised web-based cognitive testing to ensure high-quality data: development and usability study. Journal of Medical Internet Research, 24(1), e28368-.
Project: M4081585.SS0 
Journal: Journal of Medical Internet Research 
Abstract: The global COVID-19 pandemic has triggered a fundamental reexamination of how human psychological research can be conducted safely and robustly in a new era of digital working and physical distancing. Online web-based testing has risen to the forefront as a promising solution for the rapid mass collection of cognitive data without requiring human contact. However, a long-standing debate exists over the data quality and validity of web-based studies. This study examines the opportunities and challenges afforded by the societal shift toward web-based testing and highlights an urgent need to establish a standard data quality assurance framework for online studies.
ISSN: 1438-8871
DOI: 10.2196/28368
Schools: School of Social Sciences 
Lee Kong Chian School of Medicine (LKCMedicine) 
Research Centres: Centre for Research and Development in Learning (CRADLE) 
National Institute of Education
Rights: © 2022 Victoria Leong, Kausar Raheel, Jia Yi Sim, Kriti Kacker, Vasilis M Karlaftis, Chrysoula Vassiliu, Kastoori Kalaivanan, S H Annabel Chen, Trevor W Robbins, Barbara J Sahakian, Zoe Kourtzi. Originally published in the Journal of Medical Internet Research (, 06.01.2022. This is an open-access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on, as well as this copyright and license information must be included.
Fulltext Permission: open
Fulltext Availability: With Fulltext
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