Evidence map›Paper›PMID 34989691›Full record

ArticleJournal of medical Internet research2022

A New Remote Guided Method for Supervised Web-Based Cognitive Testing to Ensure High-Quality Data: Development and Usability Study.

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 and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.7field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 23 citations in OpenAlex.

  1. A digital intervention for cognitive deficits following COVID-19: a randomized clinical trial.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 2 countries.

Victoria LeongPsychology, School of Social Sciences, Nanyang Technological University, Singapore, Singapore.ORCID 0000-0003-0666-9445
Kausar RaheelPsychology, School of Social Sciences, Nanyang Technological University, Singapore, Singapore.ORCID 0000-0002-2830-0561
Jia Yi SimPsychology, School of Social Sciences, Nanyang Technological University, Singapore, Singapore.ORCID 0000-0001-9094-5523
Kriti KackerPsychology, School of Social Sciences, Nanyang Technological University, Singapore, Singapore.ORCID 0000-0002-3216-6203
Vasilis M KarlaftisDepartment of Psychology, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0003-1285-1593
Chrysoula VassiliuFaculty of Modern and Medieval Languages and Linguistics, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0001-9514-5074
Kastoori KalaivananCentre for Research and Development in Learning, Nanyang Technological University, Singapore, Singapore.ORCID 0000-0001-9213-3203
S H Annabel ChenPsychology, School of Social Sciences, Nanyang Technological University, Singapore, Singapore.ORCID 0000-0002-1540-5516
Trevor W RobbinsDepartment of Psychology, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0003-0642-5977
Barbara J SahakianBehavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0001-7352-1745
Zoe KourtziDepartment of Psychology, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0001-9441-7832
Nanyang Technological University · SGUniversity of Cambridge · GB

Funding

Biotechnology and Biological Sciences Research Council BB/P021255/1Wellcome Trust 205067/Z/16/Z
6 · The paper itself

Abstract

backgroundThe 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.

objectiveThis study aims to develop and validate a new supervised online testing methodology, remote guided testing (RGT).

methodsA 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) and delivered using identical web-based platforms (Cambridge Neuropsychological Test Automated Battery, Inquisit, and i-ABC). Data quality was assessed using detailed trial-level measures (missed trials, outlying and excluded responses, and response times) and overall task performance measures.

resultsThe results indicated that, across all data quality and performance measures, RGT data was statistically-equivalent to in-person data collected in the lab (P>.40 for all comparisons). Moreover, RGT participants out-performed the lab group on measured verbal intelligence (P<.001), which could reflect test environment differences, including possible effects of mask-wearing on communication.

conclusionsThese data suggest that the RGT methodology could help ameliorate concerns regarding online data quality-particularly for studies involving high-risk or rare cohorts-and offer an alternative for collecting high-quality human cognitive data without requiring in-person physical attendance.

Indexed as

COVID-19PandemicsHumansInternetNeuropsychological TestsSARS-CoV-2Young AdultCOVID-19executive functionslearningneurocognitive assessmentweb-based testing

Identifiers

PMID34989691
PMCPMC8778570
OpenAlexW4206012328

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.