A New Remote Guided Method for Supervised Web-Based Cognitive Testing to Ensure High Quality Data
Authors
Leong, Victoria
Raheel, Kausar
Sim, Jia Yi
Kacker, Kriti
Karlaftis, Vasilis M
Chen, SH Annabel
Robbins, Trevor W
Sahakian, Barbara J
Publication Date
2022-01-06Journal Title
Journal of Medical Internet Research
ISSN
1438-8871
Publisher
JMIR Publications Inc.
Type
Article
This Version
VoR
Metadata
Show full item recordCitation
Leong, V., Raheel, K., Sim, J. Y., Kacker, K., Karlaftis, V. M., Vassiliu, C., Chen, S. A., et al. (2022). A New Remote Guided Method for Supervised Web-Based Cognitive Testing to Ensure High Quality Data. Journal of Medical Internet Research https://doi.org/10.2196/28368
Abstract
Background. The global COVID-19 pandemic has triggered a fundamental reexamination of how human psychological research can be conducted both safely and robustly in a new era of digital working and physical distancing. Online web-based testing has risen to the fore as a promising solution for 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. Here, we examine the opportunities and challenges afforded by the societal shift toward web-based testing, highlight an urgent need to establish a standard data quality assurance framework for online studies, and develop and validate a new supervised online testing methodology, remote guided testing (RGT).
Methods. A total of 85 healthy young adults were tested on 10 cognitive tasks assessing executive functioning (flexibility, memory and inhibition) and learning. Tasks were administered either face-to-face in the laboratory (N=41) or online using remote guided testing (N=44), delivered using identical web-based platforms (CANTAB, Inquisit and i-ABC). Data quality was assessed using detailed trial-level measures (missed trials, outlying and excluded responses, response times), as well as overall task performance measures.
Results. The results indicated that, across all measures of data quality and performance, RGT data was statistically-equivalent to data collected in person in the lab. Moreover, RGT participants out-performed the lab group on measured verbal intelligence, which could reflect test environment differences, including possible effects of mask-wearing on communication.
Conclusions. These data suggest that the RGT methodology could help to ameliorate concerns regarding online data quality and - particularly for studies involving high-risk or rare cohorts - offer an alternative for collecting high-quality human cognitive data without requiring in-person physical attendance.
Keywords
COVID-19, executive functions, learning, neurocognitive assessment, web-based testing, COVID-19, Humans, Internet, Neuropsychological Tests, Pandemics, SARS-CoV-2, Young Adult
Sponsorship
Biotechnology and Biological Sciences Research Council (H012508 and BB/P021255/1).
Wellcome Trust (205067/Z/16/Z).
Funder references
European Commission (290011)
Wellcome Trust (205067/Z/16/Z)
National Research Foundation Singapore (via Cambridge Centre for Advanced Research and Education in Singapore (CARES)) (NRF-CLIC)
Biotechnology and Biological Sciences Research Council (BB/P021255/1)
European Commission Horizon 2020 (H2020) Marie Sk?odowska-Curie actions (765121)
European Commission Horizon 2020 (H2020) Marie Sk?odowska-Curie actions (840271)
Embargo Lift Date
2100-01-01
Identifiers
External DOI: https://doi.org/10.2196/28368
This record's URL: https://www.repository.cam.ac.uk/handle/1810/331640
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