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Cited by 419

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The Specific Role of Inhibition in Reading Comprehension in Good and Poor Comprehenders

Borella, Erika, Carretti, Barbara, Pelegrina, Santiago·2010·Journal of Learning Disabilities

Abstract

Difficulties in inhibitory processes have been shown to characterize the performance of poor comprehenders. However, the inhibitory inefficiency of poor comprehenders is most often assessed by their resistance to proactive interference, that is, the ability to suppress off-goal task information from working memory (WM). In two studies tasks assessing resistance to proactive interference (intrusion errors), response to distracters (Text With Distracters task) and prepotent response inhibition (Stroop and Hayling tests), along with WM measures, were administered to children aged 10 to 11, both good and poor comprehenders. The aim of the study was to specifically determine whether general or specific inhibitory factors affect poor comprehenders’ reading difficulties. Results showed that poor comprehenders, compared to good ones, are impaired in WM tasks and in inhibitory tasks that assess resistance to proactive interference. This suggests that reading comprehension difficulties of poor comprehenders are related to specific inhibitory problems.

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Metadata

Authors
Borella, E., Carretti, B., & Pelegrina, S.
Venue
Journal of Learning Disabilities
Published
2010-07-06
Volume
43
Issue
6
Pages
541-552
ISSN
  • 0022-2194 (ISSN-L)
  • 1538-4780
OpenAlex
W2124096235
Cited by
419
References
37
FWCI
13.82
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Specific Role of Inhibition in Reading Comprehension in Good and Poor Comprehenders. https://app.cochat.ai/papers/10.1177/0022219410371676
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Borella, E., Carretti, B., & Pelegrina, S. (2010). The Specific Role of Inhibition in Reading Comprehension in Good and Poor Comprehenders. Journal of Learning Disabilities. https://doi.org/10.1177/0022219410371676

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.