ArticleJournal of Intelligence2022
Inferring Cognitive Abilities from Response Times to Web-Administered Survey Items in a Population-Representative Sample.
Article in Journal of Intelligence, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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.
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.
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Who cites it
6 citing papers in PubMed.
- Strain and recovery activities over a week predict short-term changes in processing speed measured in everyday environments: A survey response-time study in workers from a large internet panel.Neuropsychology · 2026Article
- Examination of Total Hours of Volunteering or Informal Helping Among Older Adults and Risk of Future Functional Disability Using Data From a Large Panel Study.The American journal of occupational therapy : official publication of the American Occupational Therapy Association · 2026Article
- The added value of metadata on test completion time for the quantification of cognitive functioning in survey research.Journal of the International Neuropsychological Society : JINS · 2025Article
- The Understanding America Study (UAS).BMJ open · 2024Article
- Visual-Motor Integration (VMI) Is Also Relevant for Computer, Smartphone, and Tablet Use by Adults: Introducing the Brief Box Clicking Test.The American journal of occupational therapy : official publication of the American Occupational Therapy Association · 2024Article
- Using Item Response Times in Online Questionnaires to Detect Mild Cognitive Impairment.The journals of gerontology. Series B, Psychological sciences and social sciences · 2023Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Monitoring of cognitive abilities in large-scale survey research is receiving increasing attention. Conventional cognitive testing, however, is often impractical on a population level highlighting the need for alternative means of cognitive assessment. We evaluated whether response times (RTs) to online survey items could be useful to infer cognitive abilities. We analyzed >5 million survey item RTs from >6000 individuals administered over 6.5 years in an internet panel together with cognitive tests (numerical reasoning, verbal reasoning, task switching/inhibitory control). We derived measures of mean RT and intraindividual RT variability from a multilevel location-scale model as well as an expanded version that separated intraindividual RT variability into systematic RT adjustments (variation of RTs with item time intensities) and residual intraindividual RT variability (residual error in RTs). RT measures from the location-scale model showed weak associations with cognitive test scores. However, RT measures from the expanded model explained 22−26% of the variance in cognitive scores and had prospective associations with cognitive assessments over lag-periods of at least 6.5 years (mean RTs), 4.5 years (systematic RT adjustments) and 1 year (residual RT variability). Our findings suggest that RTs in online surveys may be useful for gaining information about cognitive abilities in large-scale survey research.
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Registered trials
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.