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dc.contributor.authorLeong, Victoria
dc.contributor.authorRaheel, Kausar
dc.contributor.authorSim, Jia Yi
dc.contributor.authorKacker, Kriti
dc.contributor.authorKarlaftis, Vasileios
dc.contributor.authorVassiliu, Chrysoula
dc.contributor.authorChen, SH Annabel
dc.contributor.authorRobbins, Trevor
dc.contributor.authorSahakian, Barbara
dc.contributor.authorKourtzi, Zoe
dc.description.abstractBackground. 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.
dc.description.sponsorshipBiotechnology and Biological Sciences Research Council (H012508 and BB/P021255/1). Wellcome Trust (205067/Z/16/Z).
dc.publisherJMIR Publications Inc.
dc.rightsAttribution 4.0 International
dc.titleA New Remote Guided Method for Supervised Web-Based Cognitive Testing to Ensure High Quality Data
dc.publisher.departmentDepartment of Psychology
prism.publicationNameJournal of Medical Internet Research
dc.contributor.orcidKarlaftis, Vasileios [0000-0003-1285-1593]
dc.contributor.orcidRobbins, Trevor [0000-0003-0642-5977]
dc.contributor.orcidSahakian, Barbara [0000-0001-7352-1745]
dc.contributor.orcidKourtzi, Zoe [0000-0001-9441-7832]
rioxxterms.typeJournal Article/Review
pubs.funder-project-idEuropean Commission (290011)
pubs.funder-project-idWellcome Trust (205067/Z/16/Z)
pubs.funder-project-idNational Research Foundation Singapore (via Cambridge Centre for Advanced Research and Education in Singapore (CARES)) (NRF-CLIC)
pubs.funder-project-idBiotechnology and Biological Sciences Research Council (BB/P021255/1)
pubs.funder-project-idEuropean Commission Horizon 2020 (H2020) Marie Sk?odowska-Curie actions (765121)
pubs.funder-project-idEuropean Commission Horizon 2020 (H2020) Marie Sk?odowska-Curie actions (840271)
cam.orpheus.success2021-12-20 - Embargo set during processing via Fast-track
pubs.licence-display-nameApollo Repository Deposit Licence Agreement

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Attribution 4.0 International
Except where otherwise noted, this item's licence is described as Attribution 4.0 International