Comparing methods for measuring peak look duration: Are individual differences observed on screen-based tasks also found in more ecologically valid contexts?
Open accessAbstract
Convergent research points to the importance of studying the ontogenesis of sustained attention during the early years of life, but little research hitherto has compared and contrasted different techniques available for measuring sustained attention. Here, we compare methods that have been used to assess one parameter of sustained attention, namely infants' peak look duration to novel stimuli. Our focus was to assess whether individual differences in peak look duration are stable across different measurement techniques. In a single cohort of 42 typically developing 11-month-old infants we assessed peak look duration using six different measurement paradigms (four screen-based, two naturalistic). Zero-order correlations suggested that individual differences in peak look duration were stable across all four screen-based paradigms, but no correlations were found between peak look durations observed on the screen-based and the naturalistic paradigms. A factor analysis conducted on the dependent variable of peak look duration identified two factors. All four screen-based tasks loaded onto the first factor, but the two naturalistic tasks did not relate, and mapped onto a different factor. Our results question how individual differences observed on screen-based tasks manifest in more ecologically valid contexts.
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In typical development, individual differences in peak look duration are stable across different screen-based paradigms.
“In typical development, individual differences in peak look duration are relatively reliable, show robust relations to long-term cognitive outcomes [29], and are stable across different screen-based paradigms [30].”
The duration of individual looks during a habituation paradigm is influenced not only by sustained attention but also by the speed at which infants encode the stimulus.
“The duration of individual looks during a habituation paradigm is influenced not only by sustained attention but also by the speed at which infants encode the stimulus [30, 49].”
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“In typical development, individual differences in peak look duration are relatively reliable, show robust relations to long-term cognitive outcomes [29], and are stable across different screen-based paradigms [30].”
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- Authors
- Wass, S. V.
- Affiliations
- MRC Cognition and Brain Sciences Unit (GB)
- Corresponding author
- Wass, Sam V.
- ORCID
- Wass, Sam V.
- Venue
- Infant Behavior and Development
- Publisher
- Elsevier BV
- Published
- 2014-08
- Volume
- 37
- Issue
- 3
- Pages
- 315-325
- ISSN
- 0163-6383 (ISSN-L)
- PMC
- PMC4103485
- OpenAlex
- W2070189916
- Cited by
- 32
- References
- 62
- Citations by year
- 2025: 4 · 2024: 4 · 2023: 5 · 2022: 1 · 2021: 3 · 2020: 2 · 2019: 1 · 2018: 4 · 2017: 2 · 2016: 4 · 2015: 2
- FWCI
- 6.24
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Infant Behavior and Development (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- British Academy
- Topics
- Social Sciences › Psychology › Developmental and Educational Psychology › Child and Animal Learning Development
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Visual Attention and Saliency Detection
- Life Sciences › Neuroscience › Cognitive Neuroscience › Mind wandering and attention
- Keywords
- sustained attention, individual differences, infants, measurement validity, naturalistic observation, ecologically valid assessment, attention development, typically developing infants
- MeSH terms
- Attention, Child Development, Computer Graphics, Factor Analysis, Statistical, Female, Humans, Individuality, Infant, Male, Psychological Tests, Visual Perception, Infant Behavior
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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