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Language, Reading, and Math Learning Profiles in an Epidemiological Sample of School Age Children

Overview of attention for article published in PLOS ONE, October 2013
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Title
Language, Reading, and Math Learning Profiles in an Epidemiological Sample of School Age Children
Published in
PLOS ONE, October 2013
DOI 10.1371/journal.pone.0077463
Pubmed ID
Authors

Lisa M. D. Archibald, Janis Oram Cardy, Marc F. Joanisse, Daniel Ansari

Abstract

Dyscalculia, dyslexia, and specific language impairment (SLI) are relatively specific developmental learning disabilities in math, reading, and oral language, respectively, that occur in the context of average intellectual capacity and adequate environmental opportunities. Past research has been dominated by studies focused on single impairments despite the widespread recognition that overlapping and comorbid deficits are common. The present study took an epidemiological approach to study the learning profiles of a large school age sample in language, reading, and math. Both general learning profiles reflecting good or poor performance across measures and specific learning profiles involving either weak language, weak reading, weak math, or weak math and reading were observed. These latter four profiles characterized 70% of children with some evidence of a learning disability. Low scores in phonological short-term memory characterized clusters with a language-based weakness whereas low or variable phonological awareness was associated with the reading (but not language-based) weaknesses. The low math only group did not show these phonological deficits. These findings may suggest different etiologies for language-based deficits in language, reading, and math, reading-related impairments in reading and math, and isolated math disabilities.

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Geographical breakdown

Country Count As %
Canada 2 <1%
United Kingdom 1 <1%
Puerto Rico 1 <1%
Japan 1 <1%
United States 1 <1%
Algeria 1 <1%
Unknown 219 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 46 20%
Researcher 37 16%
Student > Ph. D. Student 32 14%
Student > Bachelor 17 8%
Student > Doctoral Student 14 6%
Other 43 19%
Unknown 37 16%
Readers by discipline Count As %
Psychology 87 38%
Social Sciences 25 11%
Neuroscience 15 7%
Medicine and Dentistry 11 5%
Linguistics 11 5%
Other 32 14%
Unknown 45 20%