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Cited by 284

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Can the simple view deal with the complexities of reading?

Kirby, John R., Savage, Robert S.·2008·Literacy

Abstract

We review the Simple View of Reading (SVR) model and examine its nature, applicability and validity. We describe the SVR as an abstract framework for understanding the relationship between global linguistic comprehension and word‐reading abilities in reading comprehension (RC). We argue that the SVR is neither a full theory of reading nor a blueprint for instruction. Nevertheless we argue that the model is helpful in conceptualising these broad skills and thus in planning for teaching and learning. We review empirical evidence concerning the SVR, suggesting that it provides a good fit to much scientific data on typical and atypical development, and variation among students across the school age range. We also indicate several areas in which we think the SVR is incomplete or in need of further empirical support. These include the way in which word decoding is conceptualised, the ways in which RC is measured, RC strategies, the role of reading fluency, reading with illustrations and second‐language reading.

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Crossref · 10.1111/j.1741-4369.2008.00487.x

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Metadata

Authors
Kirby, J. R., & Savage, R. S.
Venue
Literacy
Publisher
Wiley
Published
2008-07
Volume
42
Issue
2
Pages
75-82
ISSN
  • 1741-4350 (ISSN-L)
  • 1741-4369
OpenAlex
W2105612093
Cited by
284
References
2
FWCI
16.85
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Can the simple view deal with the complexities of reading? https://app.cochat.ai/papers/10.1111/j.1741-4369.2008.00487.x
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Kirby, J. R., & Savage, R. S. (2008). Can the simple view deal with the complexities of reading? Literacy. https://doi.org/10.1111/j.1741-4369.2008.00487.x

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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.