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

Victoria Leong1,2,3, Kausar Raheel1, Jia Yi Sim1

  • 1Psychology, School of Social Sciences, Nanyang Technological University, Singapore, Singapore.

Journal of Medical Internet Research
|January 6, 2022
PubMed
Summary
This summary is machine-generated.

Remote guided testing (RGT) offers a valid alternative to in-person cognitive assessments. This supervised online method ensures data quality is equivalent to lab-based studies, even outperforming them in some areas.

Keywords:
COVID-19executive functionslearningneurocognitive assessmentweb-based testing

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Area of Science:

  • Cognitive Psychology
  • Neuropsychology
  • Human Factors

Background:

  • The COVID-19 pandemic necessitated a shift to digital research methods in psychology.
  • Online web-based testing emerged as a solution for large-scale cognitive data collection.
  • Concerns persist regarding the data quality and validity of online versus in-person studies.

Purpose of the Study:

  • To develop and validate a supervised online testing methodology called remote guided testing (RGT).
  • To compare the data quality and performance of RGT with traditional laboratory-based testing.

Main Methods:

  • 85 healthy adults completed 10 cognitive tasks assessing executive functioning and learning.
  • Tasks were administered either face-to-face in a lab (n=41) or online via RGT (n=44).
  • Identical web-based platforms were used; data quality was assessed via trial-level and performance measures.

Main Results:

  • Remote guided testing data was statistically equivalent to in-person lab data across all quality and performance metrics (P>.40).
  • RGT participants showed higher verbal intelligence scores than the lab group (P<.001), potentially due to environmental factors like mask-wearing.

Conclusions:

  • The RGT methodology provides a reliable alternative for collecting high-quality cognitive data remotely.
  • RGT can address concerns about online data quality, especially for high-risk or rare populations.
  • This approach facilitates cognitive data collection without the need for physical attendance.