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Walters, Glenn D.; Espelage, Dorothy L. – Journal of School Violence, 2020
Interactive and mediating effects have the ability to elucidate variable relationships. The goal of the current study was to explore how these two effects potentially clarify the victimization-offending relationship. Examining three waves of longitudinal data, it was predicted that Wave 1 victimization would enhance Wave 2 cognitive impulsivity,…
Descriptors: Victims, Peer Relationship, Cognitive Processes, Antisocial Behavior
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Walters, Glenn D.; Espelage, Dorothy L. – Journal of Early Adolescence, 2021
In a previous study, reactive criminal thinking or cognitive impulsivity mediated the relationship between parental knowledge and delinquency. This study sought to determine whether cognitive impulsivity also mediated the relationship between parental knowledge and childhood aggression. A path analysis was performed on a sample of 438 early…
Descriptors: Aggression, Conceptual Tempo, Correlation, Bullying
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Walters, Glenn D.; Espelage, Dorothy L. – School Psychology Quarterly, 2018
Psychological inertia, the process by which social-cognitive variables help maintain behavioral patterns over time, has been found to explain crime continuity. The present study sought to determine whether psychological inertia can also be used to explain continuity in bullying behavior. A group of 1,161 youth (567 male) from the Illinois Study of…
Descriptors: Psychological Patterns, Bullying, Social Influences, Cognitive Processes
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Cepeda, Nicholas J.; Blackwell, Katharine A.; Munakata, Yuko – Developmental Science, 2013
The rate at which people process information appears to influence many aspects of cognition across the lifespan. However, many commonly accepted measures of "processing speed" may require goal maintenance, manipulation of information in working memory, and decision-making, blurring the distinction between processing speed and executive…
Descriptors: Cognitive Processes, Individual Differences, Short Term Memory, Decision Making
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Albert, Dustin; Steinberg, Laurence – Child Development, 2011
The present study examined age differences in performance on the Tower of London, a measure of strategic planning, in a diverse sample of 890 individuals between the ages of 10 and 30. Although mature performance was attained by age 17 on relatively easy problems, performance on the hardest problems showed improvements into the early 20s.…
Descriptors: Strategic Planning, Self Control, Late Adolescents, Age Differences
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Flynn, Emma; Whiten, Andrew – Child Development, 2012
In one of the first open diffusion experiments with young children, a tool-use task that afforded multiple methods to extract an enclosed reward and a child model habitually using one of these methods were introduced into different playgroups. Eighty-eight children, ranging in age from 2 years 8 months to 4 years 5 months, participated. Measures…
Descriptors: Theory of Mind, Socialization, Young Children, Verbal Ability
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Steinberg, Laurence; Albert, Dustin; Cauffman, Elizabeth; Banich, Marie; Graham, Sandra; Woolard, Jennifer – Developmental Psychology, 2008
It has been hypothesized that sensation seeking and impulsivity, which are often conflated, in fact develop along different timetables and have different neural underpinnings, and that the difference in their timetables helps account for heightened risk taking during adolescence. In order to test these propositions, the authors examined age…
Descriptors: Conceptual Tempo, Adolescents, Age Differences, Puberty
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Adams, Wayne V. – Child Development, 1972
The interaction between age and conceptual tempo was a consistently significant finding. (Author)
Descriptors: Age Differences, Cognitive Processes, Conceptual Tempo, Data Analysis
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Goldman, Amy P.; Everett, Frances – Child Study Journal, 1985
Investigated time conceptualizations and delay of gratification capacities of 64 6- to 10-year-olds identified as impulsive or reflective according to performance on Kagan's Matching Familiar Figures Test. They were administered a maintenance of delay of gratification task, a time concept questionnaire, and several measures of temporal perspective…
Descriptors: Age Differences, Behavior Patterns, Children, Cognitive Processes
McKinney, James D. – 1978
This paper presents a developmental study of the problem solving strategies of reflective and impulsive children. Subjects for the study were 30 nine-year-olds, 39 eleven-year-olds, and 23 thirteen-year-olds who had been classified as reflective or impulsive at ages 7, 9, and 11 and who had been followed longitudinally over a three year period.…
Descriptors: Age Differences, Cognitive Development, Cognitive Processes, Conceptual Tempo
Ward, William C. – 1973
A three-year longitudinal study was conducted with 895 Head Start children to examine the development of self-regulatory abilities during the preschool years. The purpose was to discover, given the behaviors measured, whether there is convergent and discriminant validity for the existence of one or more dimensions of self requlatory behaviors…
Descriptors: Age Differences, Cognitive Development, Cognitive Processes, Cognitive Style
McCall, Robert B. – 1972
Function of attention in infants is explored. Assuming (1) that infants respond differently to novel situations than to familiar ones; (2) that the infant's pattern of response is a partial reflection of the process of acquiring a perceptual memory of the stimulus, and (3) that sex differences may occur in the rate of habituation, 120 infants…
Descriptors: Adaptation Level Theory, Age Differences, Attention, Bibliographies
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Brocki, Karin C.; Bohlin, Gunilla – Infant and Child Development, 2006
In a sample of 92 children aged 6-13 years this study investigates the normal developmental change in the relation between executive functioning (EF) and the core behavioural symptoms associated with attention deficit hyperactivity disorder (ADHD) (hyperactivity/impulsivity and inattention) as well as symptoms often co-occurring with childhood…
Descriptors: Attention Deficit Hyperactivity Disorder, Conceptual Tempo, Short Term Memory, Factor Analysis