Developmental Dyslexia, Reading Acquisition, and Statistical Learning: A Sceptic’s Guide
Many theories have been put forward that propose that developmental dyslexia is caused by low-level neural, cognitive, or perceptual deficits. For example, statistical learning is a cognitive mechanism that allows the learner to detect a probabilistic pattern in a stream of stimuli and to generalise...
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doaj-e33653d7f09c40039b9d08bc4daab3c02021-09-25T23:48:26ZengMDPI AGBrain Sciences2076-34252021-08-01111143114310.3390/brainsci11091143Developmental Dyslexia, Reading Acquisition, and Statistical Learning: A Sceptic’s GuideXenia Schmalz0Barbara Treccani1Claudio Mulatti2Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital, Ludwig Maximilian University of Munich, 80336 Munich, GermanyDepartment of Psychology and Cognitive Sciences, University of Trento, 38068 Rovereto, ItalyDepartment of Psychology and Cognitive Sciences, University of Trento, 38068 Rovereto, ItalyMany theories have been put forward that propose that developmental dyslexia is caused by low-level neural, cognitive, or perceptual deficits. For example, statistical learning is a cognitive mechanism that allows the learner to detect a probabilistic pattern in a stream of stimuli and to generalise the knowledge of this pattern to similar stimuli. The link between statistical learning and reading ability is indirect, with intermediate skills, such as knowledge of frequently co-occurring letters, likely being causally dependent on statistical learning skills and, in turn, causing individual variation in reading ability. We discuss theoretical issues regarding what a link between statistical learning and reading ability actually means and review the evidence for such a deficit. We then describe and simulate the “noisy chain hypothesis”, where each intermediary link between a proposed cause and the end-state of reading ability reduces the correlation coefficient between the low-level deficit and the end-state outcome of reading. We draw the following conclusions: (1) Empirically, there is evidence for a correlation between statistical learning ability and reading ability, but there is no evidence to suggest that this relationship is causal, (2) theoretically, focussing on a complete causal chain between a distal cause and developmental dyslexia, rather than the two endpoints of the distal cause and reading ability only, is necessary for understanding the underlying processes, (3) statistically, the indirect nature of the link between statistical learning and reading ability means that the magnitude of the correlation is diluted by other influencing variables, yielding most studies to date underpowered, and (4) practically, it is unclear what can be gained from invoking the concept of statistical learning in teaching children to read.https://www.mdpi.com/2076-3425/11/9/1143reading acquisitionindividual differencesstatistical powersimulationcausality |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Xenia Schmalz Barbara Treccani Claudio Mulatti |
spellingShingle |
Xenia Schmalz Barbara Treccani Claudio Mulatti Developmental Dyslexia, Reading Acquisition, and Statistical Learning: A Sceptic’s Guide Brain Sciences reading acquisition individual differences statistical power simulation causality |
author_facet |
Xenia Schmalz Barbara Treccani Claudio Mulatti |
author_sort |
Xenia Schmalz |
title |
Developmental Dyslexia, Reading Acquisition, and Statistical Learning: A Sceptic’s Guide |
title_short |
Developmental Dyslexia, Reading Acquisition, and Statistical Learning: A Sceptic’s Guide |
title_full |
Developmental Dyslexia, Reading Acquisition, and Statistical Learning: A Sceptic’s Guide |
title_fullStr |
Developmental Dyslexia, Reading Acquisition, and Statistical Learning: A Sceptic’s Guide |
title_full_unstemmed |
Developmental Dyslexia, Reading Acquisition, and Statistical Learning: A Sceptic’s Guide |
title_sort |
developmental dyslexia, reading acquisition, and statistical learning: a sceptic’s guide |
publisher |
MDPI AG |
series |
Brain Sciences |
issn |
2076-3425 |
publishDate |
2021-08-01 |
description |
Many theories have been put forward that propose that developmental dyslexia is caused by low-level neural, cognitive, or perceptual deficits. For example, statistical learning is a cognitive mechanism that allows the learner to detect a probabilistic pattern in a stream of stimuli and to generalise the knowledge of this pattern to similar stimuli. The link between statistical learning and reading ability is indirect, with intermediate skills, such as knowledge of frequently co-occurring letters, likely being causally dependent on statistical learning skills and, in turn, causing individual variation in reading ability. We discuss theoretical issues regarding what a link between statistical learning and reading ability actually means and review the evidence for such a deficit. We then describe and simulate the “noisy chain hypothesis”, where each intermediary link between a proposed cause and the end-state of reading ability reduces the correlation coefficient between the low-level deficit and the end-state outcome of reading. We draw the following conclusions: (1) Empirically, there is evidence for a correlation between statistical learning ability and reading ability, but there is no evidence to suggest that this relationship is causal, (2) theoretically, focussing on a complete causal chain between a distal cause and developmental dyslexia, rather than the two endpoints of the distal cause and reading ability only, is necessary for understanding the underlying processes, (3) statistically, the indirect nature of the link between statistical learning and reading ability means that the magnitude of the correlation is diluted by other influencing variables, yielding most studies to date underpowered, and (4) practically, it is unclear what can be gained from invoking the concept of statistical learning in teaching children to read. |
topic |
reading acquisition individual differences statistical power simulation causality |
url |
https://www.mdpi.com/2076-3425/11/9/1143 |
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