Visual artificial grammar learning in dyslexia A meta-analysis

Open Access
Authors
Publication date 11-2017
Journal Research in Developmental Disabilities
Volume | Issue number 70
Pages (from-to) 126-137
Organisations
  • Faculty of Humanities (FGw) - Amsterdam Institute for Humanities Research (AIHR) - Amsterdam Center for Language and Communication (ACLC)
Abstract
Background
Literacy impairments in dyslexia have been hypothesized to be (partly) due to an implicit learning deficit. However, studies of implicit visual artificial grammar learning (AGL) have often yielded null results.

Aims
The aim of this study is to weigh the evidence collected thus far by performing a meta-analysis of studies on implicit visual AGL in dyslexia.

Methods and procedures
Thirteen studies were selected through a systematic literature search, representing data from 255 participants with dyslexia and 292 control participants (mean age range: 8.5–36.8 years old).

Results
If the 13 selected studies constitute a random sample, individuals with dyslexia perform worse on average than non-dyslexic individuals (average weighted effect size = 0.46, 95% CI [0.14 … 0.77], p = 0.008), with a larger effect in children than in adults (p = 0.041; average weighted effect sizes 0.71 [sig.] versus 0.16 [non-sig.]). However, the presence of a publication bias indicates the existence of missing studies that may well null the effect.

Conclusions and implications
While the studies under investigation demonstrate that implicit visual AGL is impaired in dyslexia (more so in children than in adults, if in adults at all), the detected publication bias suggests that the effect might in fact be zero.
Document type Article
Language English
Published at https://doi.org/10.1016/j.ridd.2017.09.006
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