Evidence map›Paper›PMID 35710865›Full record

ArticleBehavior research methods2023

Can we measure individual differences in cognitive measures reliably via smartphones? A comparison of the flanker effect across device types and samples.

Thomas Pronk, Rebecca J Hirst, Reinout W Wiers, Jaap M J Murre

Abstract read
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Article in Behavior research methods, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

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13citing papers in PubMed
–field-weighted citation impact
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

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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

13 citing papers in PubMed.

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  13. Improving the Reliability of Cognitive Task Measures: A Narrative Review.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2023
    Review
4 · The record

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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

4 authors.

Thomas PronkDepartment of Psychology, Faculty of Social and Behavioural Sciences, University of Amsterdam, P.O. Box: 15804, 1001 NH, Amsterdam, The Netherlands. t.pronk@uva.nl.ORCID http://orcid.org/0000-0001-9334-7190
Rebecca J HirstOpen Science Tools (PsychoPy) Lab, School of Psychology, University of Nottingham, Nottingham, UK.
Reinout W WiersDepartment of Psychology, Faculty of Social and Behavioural Sciences, University of Amsterdam, P.O. Box: 15804, 1001 NH, Amsterdam, The Netherlands.
Jaap M J MurreDepartment of Psychology, Faculty of Social and Behavioural Sciences, University of Amsterdam, P.O. Box: 15804, 1001 NH, Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Research deployed via the internet and administered via smartphones could have access to more diverse samples than lab-based research. Diverse samples could have relatively high variation in their traits and so yield relatively reliable measurements of individual differences in these traits. Several cognitive tasks that originated from the experimental research tradition have been reported to yield relatively low reliabilities (Hedge et al., 2018) in samples with restricted variance (students). This issue could potentially be addressed by smartphone-mediated administration in diverse samples. We formulate several criteria to determine whether a cognitive task is suitable for individual differences research on commodity smartphones: no very brief or precise stimulus timing, relative response times (RTs), a maximum of two response options, and a small number of graphical stimuli. The flanker task meets these criteria. We compared the reliability of individual differences in the flanker effect across samples and devices in a preregistered study. We found no evidence that a more diverse sample yields higher reliabilities. We also found no evidence that commodity smartphones yield lower reliabilities than commodity laptops. Hence, diverse samples might not improve reliability above student samples, but smartphones may well measure individual differences with cognitive tasks reliably. Exploratively, we examined different reliability coefficients, split-half reliabilities, and the development of reliability estimates as a function of task length.

Indexed as

IndividualitySmartphoneCognitionHumansReaction TimeReproducibility of ResultsExperimental effectsFlanker effectIndividual differencesInternetReliabilitySmartphonesWeb applications

Identifiers

PMID35710865
PMCPMC10250264

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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.