2022
DOI: 10.31234/osf.io/umrj8
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Nameability Supports Rule-based Category Learning in Children and Adults

Abstract: Learning abstract, rule-based categories is crucial to children’s development, from learning how to maneuver through the world (e.g., knowing to stop at a red light) to abstract reasoning (e.g., learning that a three-sided shape is a triangle). How do children learn rule-based categories? Past work with adults suggests that verbal labels may support novel category induction by providing compact hypotheses about category-relevant features. We asked whether children also make use of accessible labels to guide ca… Show more

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Cited by 2 publications
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“…However, it was not clear that these norms would be representative of children's perceptual discriminability judgments. To obtain a behavioral measure of the discriminability of the color features among children in the current age range, we conducted a norming study in which we asked a separate sample of 3‐ to 6‐year‐old children, as well as a separate sample of adults, to make judgments about color pairs in a speeded match‐to‐sample task (Zettersten et al, 2020). Forty 3‐ to 6‐year‐old children in the Midwestern United States ( M age = 56.4 months, SD = 6.5; range: 45–69 months; 16 female, 22 male, 2 not reported; 87.5% White, 5% more than one race, 5% Asian, 2.5% did not disclose; tested in 2023) participated in the task.…”
Section: Methodsmentioning
confidence: 99%
“…However, it was not clear that these norms would be representative of children's perceptual discriminability judgments. To obtain a behavioral measure of the discriminability of the color features among children in the current age range, we conducted a norming study in which we asked a separate sample of 3‐ to 6‐year‐old children, as well as a separate sample of adults, to make judgments about color pairs in a speeded match‐to‐sample task (Zettersten et al, 2020). Forty 3‐ to 6‐year‐old children in the Midwestern United States ( M age = 56.4 months, SD = 6.5; range: 45–69 months; 16 female, 22 male, 2 not reported; 87.5% White, 5% more than one race, 5% Asian, 2.5% did not disclose; tested in 2023) participated in the task.…”
Section: Methodsmentioning
confidence: 99%