Title |
Statistical learning and dyslexia: a systematic review
|
---|---|
Published in |
Annals of Dyslexia, October 2016
|
DOI | 10.1007/s11881-016-0136-0 |
Pubmed ID | |
Authors |
Xenia Schmalz, Gianmarco Altoè, Claudio Mulatti |
Abstract |
The existing literature on developmental dyslexia (hereafter: dyslexia) often focuses on isolating cognitive skills which differ across dyslexic and control participants. Among potential correlates, previous research has studied group differences between dyslexic and control participants in performance on statistical learning tasks. A statistical learning deficit has been proposed to be a potential cause and/or a marker effect for early detection of dyslexia. It is therefore of practical importance to evaluate the evidence for a group difference. From a theoretical perspective, such a group difference would provide information about the causal chain from statistical learning to reading acquisition. We provide a systematic review of the literature on such a group difference. We conclude that there is insufficient high-quality data to draw conclusions about the presence or absence of an effect. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Japan | 1 | 33% |
Canada | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
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Scientists | 3 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 169 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 42 | 25% |
Student > Master | 23 | 14% |
Researcher | 17 | 10% |
Student > Doctoral Student | 12 | 7% |
Professor | 9 | 5% |
Other | 26 | 15% |
Unknown | 40 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 58 | 34% |
Neuroscience | 16 | 9% |
Linguistics | 12 | 7% |
Social Sciences | 10 | 6% |
Computer Science | 9 | 5% |
Other | 19 | 11% |
Unknown | 45 | 27% |