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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
Frijters, Jan C.; Lovett, Maureen W.; Steinbach, Karen A.; Wolf, Maryanne; Sevcik, Rose A.; Morris, Robin D. – Journal of Learning Disabilities, 2011
This study reports on several specific neurocognitive process predictors of reading outcomes for a sample of 278 children with reading disabilities. Three categories of response (i.e., poor, average, and good) were formed via growth curve models of six reading outcomes. Two nested discriminant function analyses were conducted to evaluate the…
Descriptors: Reading Difficulties, Intelligence Quotient, Intervention, Phonology
Peer reviewedMiller, Jeffrey A.; Barona, Andres – Adult Basic Education, 1997
Adult students in 4 groups (24 reading disabled, 5 math disabled, 4 reading and math disabled, and 60 nondisabled) completed 2 screening batteries: (1) Wide Range Achievement Test (WRAT) and Barona Premorbid Intelligence Index and (2) WRAT and Kaufman Brief Intelligence Test. Resulting classifications correctly identified approximately 80% as…
Descriptors: Adult Basic Education, Classification, Intelligence Tests, Learning Disabilities
