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Cited by 388

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Math Disabilities: A Selective Meta-Analysis of the Literature

Swanson, H. Lee, Jerman, Olga·2006·Review of Educational Research

Abstract

This article synthesizes published literature comparing the cognitive functioning of children who have math disabilities (MD) with that of (a) average-achieving children; (b) children who have reading disabilities (RD); and (c) children who have comorbid disabilities (MD+RD). Average achievers outperformed children with MD on measures of verbal problem solving, naming speed, verbal working memory (WM), visual-spatial WM, and long-term memory (LTM). Children with MD outperformed comorbid children on measures of literacy, visual-spatial problem solving, LTM, short-term memory (STM) for words, and verbal WM. Children with MD could be differentiated from children with RD only on naming speed and visual-spatial WM. Differences in cognitive functioning between children with MD and average achievers were related primarily to verbal WM when the effects of all other variables (e.g., age, IQ, and other domain categories) were partialed out.

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Metadata

Authors
Swanson, H. L., & Jerman, O.
Venue
Review of Educational Research
Published
2006-06
Volume
76
Issue
2
Pages
249-274
ISSN
  • 0034-6543 (ISSN-L)
  • 1935-1046
OpenAlex
W2132692229
Cited by
388
References
7
FWCI
1.15
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Math Disabilities: A Selective Meta-Analysis of the Literature. https://app.cochat.ai/papers/10.3102/00346543076002249
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Swanson, H. L., & Jerman, O. (2006). Math Disabilities: A Selective Meta-Analysis of the Literature. Review of Educational Research. https://doi.org/10.3102/00346543076002249

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.