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Signal clarity: an account of the variability in infant quantity discrimination tasks

Overview of attention for article published in Developmental Science, January 2015
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Article details
Title
Signal clarity: an account of the variability in infant quantity discrimination tasks
Published in
Developmental Science, January 2015
DOI 10.1111/desc.12283
Pubmed ID
Authors
Abstract

Infants have shown variable success in quantity comparison tasks, with infants of a given age sometimes successfully discriminating numerical differences at a 2:3 ratio but requiring 1:2 and even 1:4 ratios of change at other times. The current explanations for these variable results include the two-systems proposal - a theoretical framework that suggests that there are multiple systems at play and that these systems do not communicate early in infancy, leading to failure in certain numerical comparisons. An alternative proposal is that infants may be attending to continuous extent dimensions in these tasks rather than number per se. However, neither of these two main proposals is independently capable of accounting for the previously published data. Recently the Signal Clarity Hypothesis was proposed to account for and predict the variability (Cantrell & Smith, 2013). According to this hypothesis, infants' variable success may be understood from a framework of statistical learning taken together with the signal-to-noise ratio generated by control procedures in habituation tasks. Here we test specific predictions made by the Signal Clarity Hypothesis. Across four experiments assessing 9-month old discriminations of small and large sets (2 vs. 4 and 3 vs. 4), we demonstrate that infant success can be predicted by this novel approach and, further, that infants may discriminate smaller ratios of change than previously believed (3:4 numerical change and 2:3 cumulative area change).

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 2 4%
Unknown 49 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 14 27%
Student > Doctoral Student 7 14%
Researcher 5 10%
Student > Bachelor 3 6%
Professor 3 6%
Other 8 16%
Unknown 11 22%
Readers by discipline
Readers by discipline Count As %
Psychology 26 51%
Neuroscience 4 8%
Unspecified 1 2%
Mathematics 1 2%
Nursing and Health Professions 1 2%
Other 1 2%
Unknown 17 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 January 2015.
All research outputs
#24,860,381
of 27,625,920 outputs
Outputs from Developmental Science
#1,676
of 1,752 outputs
Outputs of similar age
#318,264
of 367,898 outputs
Outputs of similar age from Developmental Science
#29
of 31 outputs
Altmetric has tracked 27,625,920 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
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We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.