NotesFAQContact Us
Collection
Advanced
Search Tips
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing 1 to 15 of 419 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Marisa L. Mylett; Troy Q. Boucher; Nichole E. Scheerer; Grace Iarocci – Journal of Autism and Developmental Disorders, 2024
The current study examined whether social competence and autistic traits are related to anxiety and depression in autistic and non-autistic children. Parents of 340 children aged 6 to 12 years old, including 186 autistic and 154 non-autistic children completed the Autism Spectrum Quotient (AQ) to assess their child's autistic traits, the…
Descriptors: Correlation, Autism Spectrum Disorders, Symptoms (Individual Disorders), Anxiety
Peer reviewed Peer reviewed
Direct linkDirect link
Giangrande, Evan J.; Beam, Christopher R.; Finkel, Deborah; Davis, Deborah W.; Turkheimer, Eric – Child Development, 2022
This study investigated the systematic rise in cognitive ability scores over generations, known as the "Flynn Effect," across middle childhood and early adolescence (7-15 years; 291 monozygotic pairs, 298 dizygotic pairs; 89% White). Leveraging the unique structure of the Louisville Twin Study (longitudinal data collected continuously…
Descriptors: Cognitive Ability, Scores, Intelligence Tests, Children
Peer reviewed Peer reviewed
Direct linkDirect link
Joseph C. Y. Lau; Emily Landau; Qingcheng Zeng; Ruichun Zhang; Stephanie Crawford; Rob Voigt; Molly Losh – Autism: The International Journal of Research and Practice, 2025
Many individuals with autism experience challenges using language in social contexts (i.e., pragmatic language). Characterizing and understanding pragmatic variability is important to inform intervention strategies and the etiology of communication challenges in autism; however, current manual coding-based methods are often time and labor…
Descriptors: Artificial Intelligence, Models, Pragmatics, Language Variation
Peer reviewed Peer reviewed
Direct linkDirect link
Musso, Mariel F.; Cómbita, Lina M.; Cascallar, Eduardo C.; Rueda, M. Rosario – Mind, Brain, and Education, 2022
The objective of this research was to develop robust predictive models of the gains in working memory (WM) and fluid intelligence (Gf) following executive attention training in children, using genetic markers, gender, and age variables. We explore the influence of genetic variables on individual differences in susceptibility to intervention.…
Descriptors: Genetics, Artificial Intelligence, Gender Differences, Age Differences
Peer reviewed Peer reviewed
Direct linkDirect link
Breit, Moritz; Brunner, Martin; Preckel, Franzis – Developmental Psychology, 2021
Differentiation hypotheses concern changes in the structural organization of cognitive abilities that depend on the level of general intelligence (ability differentiation) or age (developmental differentiation). Part 1 of this article presents a review of the literature on ability and developmental differentiation effects in children, revealing…
Descriptors: Cognitive Ability, Age Differences, Child Development, Elementary School Students
Peer reviewed Peer reviewed
Direct linkDirect link
Lifshit, Hefziba Batya; Bustan, Noa; Shnitzer-Meirovich, Shlomit – Journal of Applied Research in Intellectual Disabilities, 2021
Goals: This study examined: (a) crystallized/fluid intelligence trajectories of adolescents and adults with Down syndrome; and (b) the contribution of endogenous (health, activities of daily living--ADL) and exogenous (cognitively stimulating leisure activities) factors on adults' intelligence with age. Method: Four cohorts (N = 80) with Down…
Descriptors: Down Syndrome, Adolescents, Adults, Health Behavior
Peer reviewed Peer reviewed
PDF on ERIC Download full text
von Krause, Mischa; Lerche, Veronika; Schubert, Anna-Lena; Voss, Andreas – Journal of Intelligence, 2020
In comparison to young adults, middle-aged and old people show lower scores in intelligence tests and slower response times in elementary cognitive tasks. Whether these well-documented findings can both be attributed to a general cognitive slow-down across the life-span has become subject to debate in the last years. The drift diffusion model can…
Descriptors: Reaction Time, Intelligence Tests, Age Differences, Intelligence Differences
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Razumnikova, Olga; Bakaev, Maxim – Journal of Intelligence, 2022
Despite the lasting interest towards the relationship between intelligence and creativity, comparably less attention is paid to its age-related changes. Our paper considers the organization of fluid intelligence and psychometric indicators of creativity and is based on the experimental data obtained for children aged 11 (n = 99) and for young…
Descriptors: Creativity, Intelligence, Elementary School Students, College Freshmen
Peer reviewed Peer reviewed
Direct linkDirect link
Joshua Anbar; Maurice Metoyer; Christopher J. Smith; Nicole L. Matthews – Journal of Autism and Developmental Disorders, 2025
Purpose: Most assessment tools used to diagnose and characterize autism spectrum disorder (ASD) were developed for in-person administration. The coronavirus disease 2019 (COVID-19) pandemic resulted in the need to adapt traditional assessment tools for online administration with only minimal evidence to support validity of such practices. Methods:…
Descriptors: Intelligence Tests, Autism Spectrum Disorders, Scores, Computer Assisted Testing
Peer reviewed Peer reviewed
Direct linkDirect link
Julia B. Barrón-Martínez; Judith Salvador-Cruz – Journal of Intellectual & Developmental Disability, 2025
Background: The aim was to explore the executive function profile of a group of Mexican people with Down syndrome (DS) aged 12-30 years during the COVID-19 pandemic. Aim: To analyse the relationships between mental, chronological age and eight domains of executive function. Method: Participants were 42 people with DS with a chronological age (CA)…
Descriptors: Executive Function, Down Syndrome, COVID-19, Pandemics
Peer reviewed Peer reviewed
Direct linkDirect link
Walters, Glenn D. – Journal of Early Adolescence, 2022
The goal of this study was to test nonverbal intelligence and neighborhood social capital as protective factors against future delinquency in early adolescent youth placed at risk by virtue of their involvement in childhood conduct problems. Analyzing longitudinal data from 3,028 youth (1,565 boys, 1,463 girls) in one cohort of the Longitudinal…
Descriptors: Social Capital, Resilience (Psychology), At Risk Persons, Behavior Problems
Peer reviewed Peer reviewed
Direct linkDirect link
Cuetos Revuelta, María José; Amarilla, Natalia Serrano; Sala, Beatriz Marcos – Electronic Journal of Research in Educational Psychology, 2022
Introduction: Creativity is a capacity that is related to divergent thinking and is fundamental in the changing society of the 21st century for training competent students who can function in society. There are several psychometric tests for measuring creativity, among which the Creative Intelligence Test (CREA) stands out, which is widely used in…
Descriptors: Psychometrics, Creativity Tests, Intelligence Tests, Academic Achievement
Peer reviewed Peer reviewed
Direct linkDirect link
Peristeri, Eleni; Silleresi, Silvia; Tsimpli, Ianthi Maria – Autism: The International Journal of Research and Practice, 2022
Children with autism often display discrepancies in their intellectual functioning, with nonverbal skills frequently being more developed than verbal. Compared to monolingual autistic children, however, much less is known about how bilingualism affects intelligence in autism. The current study examined the intelligence profiles of 146 bilingual…
Descriptors: Bilingualism, Autism Spectrum Disorders, Socioeconomic Status, Intelligence
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Schubert, Anna-Lena; Hagemann, Dirk; Löffler, Christoph; Frischkorn, Gidon T. – Journal of Intelligence, 2020
Several studies have demonstrated that individual differences in processing speed fully mediate the association between age and intelligence, whereas the association between processing speed and intelligence cannot be explained by age differences. Because measures of processing speed reflect a plethora of cognitive and motivational processes, it…
Descriptors: Intelligence, Aging (Individuals), Age Differences, Individual Differences
Peer reviewed Peer reviewed
Direct linkDirect link
Breit, Moritz; Brunner, Martin; Preckel, Franzis – Developmental Psychology, 2020
Differentiation of intelligence refers to changes in the structure of intelligence that depend on individuals' level of general cognitive ability (ability differentiation hypothesis) or age (developmental differentiation hypothesis). The present article aimed to investigate ability differentiation, developmental differentiation, and their…
Descriptors: Intelligence, Cognitive Ability, Adolescents, Age Differences
Previous Page | Next Page »
Pages: 1  |  2  |  3  |  4  |  5  |  6  |  7  |  8  |  9  |  10  |  11  |  ...  |  28