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Gerst, Elyssa H.; Cirino, Paul T.; Macdonald, Kelly T.; Miciak, Jeremy; Yoshida, Hanako; Woods, Steven P.; Gibbs, M. Cullen – Journal of Cognition and Development, 2021
The present study had two aims. First, we set out to evaluate the structure of processing speed in children by comparing five alternative models: two conceptual models (a unitary model, a complexity model) and three methodological models (a stimulus material model, an output response model, and a timing modality model). Second, we then used the…
Descriptors: Cognitive Processes, Reading Processes, Comparative Analysis, Predictor Variables
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Biesmans, K. E.; Aken, L.; Frunt, E. M. J.; Wingbermühle, P. A. M.; Egger, J. I. M. – Journal of Intellectual Disability Research, 2019
Background: Assessment of intelligence and executive function (EF) is common in complex neuropsychiatric practice. Although previous studies have shown that EF and intelligence are related, it is unknown whether these constructs relate to one another in a similar manner across different ability groups (mild intellectual disability, borderline…
Descriptors: Intelligence, Executive Function, Psychiatry, Correlation
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Hindal, Huda; Reid, Norman; Whitehead, Rex – European Journal of Educational Research, 2013
It is well established that girls and boys perform differently in traditional examinations in most countries. This study looks at a sample of 754 school students in Kuwait (aged about 13) and explores how boys and girls differ in the performance in a range of tests related to learner characteristics. The fundamental question is how boys and girls…
Descriptors: Foreign Countries, Student Characteristics, Learning, Adolescents
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DeLeeuw, Krista E.; Mayer, Richard E. – Journal of Educational Psychology, 2008
Understanding how to measure cognitive load is a fundamental challenge for cognitive load theory. In 2 experiments, 155 college students (ages = 17 to 22; 49 men and 106 women) with low domain knowledge learned from a multimedia lesson on electric motors. At 8 points during learning, their cognitive load was measured via self-report scales (mental…
Descriptors: Reaction Time, Rating Scales, Cognitive Processes, Experiments
Nesbit, Larry L. – 1981
A research study was designed to test the relationship between the number of eye fixations and amount of learning as determined by a criterion referenced posttest. The study sought to answer the following questions: (1) Are differences in eye movement indices related to the posttest score? (2) Do differences in eye movement indices of subjects…
Descriptors: Cognitive Processes, Correlation, Eye Movements, Higher Education
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Fagan, Joseph F. – Intelligence, 1984
Individual differences in visual recognition memory and intelligence were correlated using 52 five-year-olds whose IQs ranged from 40-136. The correlation between memory performance and IQ was .70 for whole sample, and .61 when children with IQs below 75 were omitted. Immediate recognition memory is highly associated with intelligence. (Author/RD)
Descriptors: Cognitive Processes, Correlation, Early Childhood Education, Intelligence Differences
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Lewis, Michael; Brooks-Gunn, Jeanne – Intelligence, 1981
The predictive power of various cognitive skills at three months of age in terms of later cognitive functioning was examined. Visual habituation and recovery predicted later intellectual functioning at 24 months better than global intelligence or object permanence scores. Changes in cognitive functioning may be a transformation of skills.…
Descriptors: Attention Control, Cognitive Processes, Correlation, Infants