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Natasha Chaku; Kelly Barry – Infant and Child Development, 2024
During adolescence, increases in pubertal hormones lead to reproductive maturity as well as changes in cognitive development. Yet, little is known about how to best characterize interindividual differences in hormone concentrations. The goal of the current study was to examine the antecedents and consequences of membership in empirically derived…
Descriptors: Early Adolescents, Puberty, Physiology, Biochemistry
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Ho, Shuen; Kozhevnikov, Maria – British Journal of Educational Psychology, 2023
Background: Previous research on cognitive styles (CSs) has often overlooked their complexity and the effect of the environment on their development. While research supports visual abilities as predictors of domain-specific creativity, there is a lack of studies on the predictive power of CS in relation to creativity beyond abilities. Aims: The…
Descriptors: Cognitive Style, Individual Differences, Environmental Influences, Creativity
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Jakob Åsberg Johnels; Martyna A. Galazka; Maria Sundqvist; Nouchine Hadjikhani – British Journal of Educational Psychology, 2025
Background: When looking at faces, we tend to attend more to the left visual field (corresponding to the right side of the person's face). This phenomenon is called the left visual field bias (LVF) and is presumed to reflect the brain's right-sided dominance for face processing. Whether alterations in hemispheric dominance are present in dyslexia,…
Descriptors: Visual Perception, Individual Differences, Reading Skills, Dyslexia
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Zupan, Zorana; Blagrove, Elisabeth L.; Watson, Derrick G. – Developmental Psychology, 2023
By approximately 6 years of age, children can use time-based visual selection to ignore stationary stimuli, already in the visual field and prioritize the selection of newly arriving stimuli. This ability can be studied using preview search, a version of the visual search paradigm with an added temporal component, in which one set of distractors…
Descriptors: Age Differences, Visual Stimuli, Comparative Analysis, Adults
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Pratte, Michael S.; Green, Marshall L. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
People vary in their performance on visual working memory tasks, and these individual differences covary with a wide range of higher-level cognitive processes including fluid intelligence. Performance also varies across study displays, purportedly driven by both low- and higher-level processes. Understanding what causes these sources of systematic…
Descriptors: Short Term Memory, Visual Perception, Individual Differences, Cognitive Processes
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T. Vessonen; H. Hellstrand; P. Aunio; A. Laine – International Journal of Early Childhood, 2024
The aim of this study was to investigate individual differences in mathematical problem-solving among 3- to 5-year-old children (N = 328; n[subscript 3-year-olds] = 115, n[subscript 4-year-olds] = 167, n[subscript 5-year-olds] = 46). First, we examined the extent to which children in this age group were able to solve open and closed non-routine…
Descriptors: Individual Differences, Mathematics Skills, Problem Solving, Preschool Children
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Kotsopoulos, Donna; Makosz, Samantha; Zambrzycka, Joanna; Dickson, Brandon A. – Early Child Development and Care, 2021
An enduring challenge in visual-spatial research has been to identify the factors contributing to individual differences in ability. This research investigated the overall, verbal, and nonverbal visual-spatial ability of 61 (34 boys) three- to five-year-olds (M[subscript age] = 57.3 months; SD = 7.9) and the following factors known to be related…
Descriptors: Individual Differences, Spatial Ability, Visual Perception, Preschool Children
Anita Marie Knox – ProQuest LLC, 2024
This quantitative study examined the effects of stored color knowledge on learning achievement and cognitive load using a randomized pretest-posttest control group design. Social media was used to recruit 60 adult participants, randomized into control and experimental groups. A multimedia lesson was presented where the control group viewed images…
Descriptors: Color, Cognitive Processes, Difficulty Level, Knowledge Level
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Turbett, Kaitlyn; Jeffery, Linda; Bell, Jason; Burton, Jessamy; Palermo, Romina – Journal of Autism and Developmental Disorders, 2022
Face recognition difficulties are common in autism and could be a consequence of perceptual atypicalities that disrupt the ability to integrate current and prior information. We tested this theory by measuring the strength of serial dependence for faces (i.e. how likely is it that current perception of a face is biased towards a previously seen…
Descriptors: Autism, Symptoms (Individual Disorders), Visual Perception, Recognition (Psychology)
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Bialecka-Pikul, Marta; Bialek, Arkadiusz; Kosno, Magdalena; Stepien-Nycz, Malgorzata; Blukacz, Mateusz; Zubek, Julian – European Journal of Developmental Psychology, 2022
The current research aims at constructing a developmentally sensitive mindreading scale (i.e., a battery of tasks measuring different aspects of mindreading ability in children from 1 to 3.5 years of age). Over 300 Polish children were tested at six-month intervals with 48 different tasks designed to measure mindreading ability (for a total of six…
Descriptors: Measures (Individuals), Reliability, Task Analysis, Beliefs
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Nicholas J. Wyche; Mark Edwards; Stephanie C. Goodhew – Cognitive Research: Principles and Implications, 2024
The Useful Field of View task (UFOV) is a strong and reliable predictor of crash risk in older drivers. However, while the functional domain of attention is clearly implicated in UFOV performance, the potential role of one specific attentional process remains unclear: attentional breadth (the spatial extent of the attended region around the point…
Descriptors: Task Analysis, Older Adults, Attention Control, Risk
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Tortelli, Chiara; Turi, Marco; Burr, David C.; Binda, Paola – Journal of Autism and Developmental Disorders, 2021
We measured the pupil response to a light stimulus subject to a size illusion and found that stimuli perceived as larger evoke a stronger pupillary response. The size illusion depends on combining retinal signals with contextual 3D information; contextual processing is thought to vary across individuals, being weaker in individuals with stronger…
Descriptors: Eye Movements, Visual Stimuli, Autism, Symptoms (Individual Disorders)
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Dreneva, Anna; Shvarts, Anna; Chumachenko, Dmitry; Krichevets, Anatoly – Cognitive Science, 2021
The paper addresses the capabilities and limitations of extrafoveal processing during a categorical visual search. Previous research has established that a target could be identified from the very first or without any saccade, suggesting that extrafoveal perception is necessarily involved. However, the limits in complexity defining the processed…
Descriptors: Cognitive Processes, Geometric Concepts, Visual Perception, Eye Movements
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Wang, Qiandong; Lu, Haoyang; Feng, Shuyuan; Song, Ci; Hu, Yixiao; Yi, Li – Autism: The International Journal of Research and Practice, 2022
We investigated the intra-individual variability of face scanning in autistic children to represent a new avenue for understanding abnormal face scanning in autism spectrum condition. Across four studies, we used eye-tracking techniques to systematically examine the variability of face scanning patterns in autistic children when performing…
Descriptors: Autism Spectrum Disorders, Eye Movements, Visual Perception, Individual Differences
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Chabal, Sarah; Hayakawa, Sayuri; Marian, Viorica – Cognitive Research: Principles and Implications, 2021
Over the course of our lifetimes, we accumulate extensive experience associating the things that we see with the words we have learned to describe them. As a result, adults engaged in a visual search task will often look at items with labels that share phonological features with the target object, demonstrating that language can become activated…
Descriptors: Individual Differences, Visual Perception, Task Analysis, Phonology
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