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Direct linkMusso, 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
Pitts, C. Holley; Mervis, Carolyn B. – American Journal on Intellectual and Developmental Disabilities, 2016
We describe the performance of 292 4- to 17-year-olds with Williams syndrome (WS) on the Kaufman Brief Intelligence Test-2 (KBIT-2; Kaufman & Kaufman, 2004). Mean IQ Composite, Verbal standard score (SS), and Nonverbal SS were in the borderline range relative to the general population, with variability similar to the general population.…
Descriptors: Intelligence Tests, Genetic Disorders, Intelligence Quotient, Children
Mervis, Carolyn B.; Kistler, Doris J.; John, Angela E.; Morris, Colleen A. – American Journal on Intellectual and Developmental Disabilities, 2012
Multilevel modeling was used to address the longitudinal stability of standard scores (SSs) measuring intellectual ability for children with Williams syndrome (WS). Participants were 40 children with genetically confirmed WS who completed the Kaufman Brief Intelligence Test--Second Edition (KBIT-2; A. S. Kaufman & N. L. Kaufman, 2004) 4-7…
Descriptors: Congenital Impairments, Genetic Disorders, Mental Retardation, Intelligence Quotient
