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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
Munson, Benjamin; Lackas, Natasha; Koeppe, Kiana – Journal of Speech, Language, and Hearing Research, 2022
Purpose: We evaluated whether naive listeners' ratings of the gender typicality of the speech of children assigned male at birth (AMAB) and children assigned female at birth (AFAB) were different at two time points: one at which children were 2.5-3.5 years old and one when they were 4.5-5.5 years old. We also examined whether measures of speech,…
Descriptors: Preschool Children, Speech Communication, Age Differences, Developmental Stages
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
