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Virtala, Paula; Partanen, Eino; Kujala, Teija – Journal of Learning Disabilities, 2021
Rules and regularities of language are typically processed in an implicit and effortless way in the human brain. Individuals with developmental dyslexia have problems in implicit learning of regularities in sequential stimuli, but the neural basis of this deficit has not been studied. This study investigated extraction and utilization of a complex…
Descriptors: Developmental Disabilities, Dyslexia, Neurological Impairments, Standards
Tong, Xiuli; McBride, Catherine – Journal of Learning Disabilities, 2018
Following a review of contemporary models of word-level processing for reading and their limitations, we propose a new hypothetical model of Chinese character reading, namely, the graded lexical space mapping model that characterizes how sublexical radicals and lexical information are involved in Chinese character reading development. The…
Descriptors: Chinese, Orthographic Symbols, Memory, Reading Processes
Sanders, Elizabeth A.; Berninger, Virginia W.; Abbott, Robert D. – Journal of Learning Disabilities, 2018
Sequential regression was used to evaluate whether language-related working memory components uniquely predict reading and writing achievement beyond cognitive-linguistic translation for students in Grades 4 through 9 (N = 103) with specific learning disabilities (SLDs) in subword handwriting (dysgraphia, n = 25), word reading and spelling…
Descriptors: Regression (Statistics), Short Term Memory, Predictor Variables, Reading Achievement
Berninger, Virginia; Abbott, Robert; Cook, Clayton R.; Nagy, William – Journal of Learning Disabilities, 2017
Relationships between attention/executive functions and language learning were investigated in students in Grades 4 to 9 (N = 88) with and without specific learning disabilities (SLDs) in multiword syntax in oral and written language (OWL LD), word reading and spelling (dyslexia), and subword letter writing (dysgraphia). Prior…
Descriptors: Correlation, Attention Control, Executive Function, Multiple Regression Analysis