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Lambert, Katharina; Spinath, Birgit – Journal of Learning Disabilities, 2018
The aim of the present study was to investigate the associations between elementary school children's mathematical achievement and their conservation abilities, visuospatial skills, and numerosity processing speed. We also assessed differences in these abilities between children with different types of learning problems. In Study 1 (N = 229), we…
Descriptors: Correlation, Elementary School Students, Elementary School Mathematics, Visual Perception
Mammarella, Irene Cristina; Lucangeli, Daniela; Cornoldi, Cesare – Journal of Learning Disabilities, 2010
Visuospatial working memory and its involvement in arithmetic were examined in two groups of 7- to 11-year-olds: one comprising children described by teachers as displaying symptoms of nonverbal learning difficulties (N = 21), the other a control group without learning disabilities (N = 21). The two groups were matched for verbal abilities, age,…
Descriptors: Control Groups, Learning Problems, Learning Disabilities, Nonverbal Learning
Alloway, Tracy Packiam; Archibald, Lisa – Journal of Learning Disabilities, 2008
The authors compared 6- to 11-year-olds with developmental coordination disorder (DCD) and those with specific language impairment (SLI) on measures of memory (verbal and visuospatial short-term and working memory) and learning (reading and mathematics). Children with DCD with typical language skills were impaired in all four areas of memory…
Descriptors: Language Impairments, Memory, Language Skills, Psychomotor Skills

Brewer, Vickie R.; Moore, Bartlett D., III; Hiscock, Merrill – Journal of Learning Disabilities, 1997
This study investigated the incidence of learning disabilities in 105 children (ages 6-18) with neurofibromatosis Type 1 (NF-1). Results found that nearly 70% of the subjects were academically deficient and 42% met the criteria for learning disabilities. A low incidence of visuospatial-constructional deficits was also found. (Author/CR)
Descriptors: Academic Ability, Children, Chronic Illness, Cluster Analysis