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Evidence supports the validity and reliability of response times from a brief survey as a digital biomarker for processing speed in a large panel study

  • Raymond Hernandez*
  • , Arthur A. Stone
  • , Elizabeth Zelinski
  • , Erik Meijer
  • , Titus Galama
  • , Jessica Faul
  • , Arie Kapteyn
  • , Doerte U. Junghaenel
  • , Haomiao Jin
  • , Margaret Gatz
  • , Pey Jiuan Lee
  • , Daniel Maupin
  • , Hongxin Gao
  • , Bart Orriens
  • , Stefan Schneider
  • *Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Survey response times (RTs) have hitherto untapped potential to allow researchers to gain more detailed insights into the cognitive performance of participants in online panel studies. We examined if RTs recorded from a brief online survey could serve as a digital biomarker for processing speed. Data from 9893 adults enrolled in the nationally representative Understanding America Study were used in the analyses. Hypotheses included that people’s average survey RTs would have a large correlation with an established processing speed test, small to moderate correlations with other cognitive tests, and associations with functional impairment. We also hypothesized that survey RTs would have sensitivity to various participant characteristics comparable to the established processing speed test’s sensitivity (eg, similar standardized means by sex). Overall, results support the validity and reliability of people’s average RTs to survey items as a digital biomarker for processing speed. The correlation between survey RTs (reverse scored) and the formal processing speed test was 0.61 (P < .001), and small to moderate associations with most other cognitive and functional status measures were observed. Sensitivity of survey RTs to various participant characteristics was nearly identical to the formal processing speed test. Survey RTs may be useful as proxies for processing speed.

Original languageEnglish
Pages (from-to)3208-3216
Number of pages9
JournalAmerican Journal of Epidemiology
Volume194
Issue number11
Early online date3 Jan 2025
DOIs
Publication statusPublished - Nov 2025

Bibliographical note

Publisher Copyright:
© The Author(s) 2025. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved.

Keywords

  • cognitive health
  • panel studies
  • paradata
  • processing speed

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