The DOI matches its Crossref record; 66 of the 66 references it cites were found in a registry or an index.
Relations of different types of numerical magnitude representations to each other and to mathematics achievement
Open accessAbstract
We examined relations between symbolic and non-symbolic numerical magnitude representations, between whole number and fraction representations, and between these representations and overall mathematics achievement in fifth graders. Fraction and whole number symbolic and non-symbolic numerical magnitude understandings were measured using both magnitude comparison and number line estimation tasks. After controlling for non-mathematical cognitive proficiency, both symbolic and non-symbolic numerical magnitude understandings were uniquely related to mathematics achievement, but the relation was much stronger for symbolic numbers. A meta-analysis of 19 published studies indicated that relations between non-symbolic numerical magnitude knowledge and mathematics achievement are present but tend to be weak, especially beyond 6 years of age.
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Cites
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“…correlation ( r = .21), and it would require 16 additional samples that found no correlation between non-symbolic numerical magnitude understanding and overall mathematics achievement to reduce the estimated correlation to .15, 41 to reduce it to .10, and 116 to reduce it to .05 (Orwin, 1983).”
BackgroundThe Number Sense: How the Mind Creates Mathematics.
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Individual differences in non-verbal number acuity correlate with maths achievement
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Cited by
Caviola, S., Colling, L. J., Mammarella, I. C., & Szűcs, D. (2020) · Developmental Science · doi:10.1111/desc.12957 · Cited by 72
The Impact of Action Video Game Training on Mathematical Abilities in Adults
Libertus, M. E., Liu, A., Pikul, O., Jacques, T., Cardoso-Leite, P., Halberda, J., & Bavelier, D. (2017) · AERA Open · doi:10.1177/2332858417740857 · Cited by 39
Metadata
- Authors
- Fazio, L. K., Bailey, D. H., Thompson, C. A., & Siegler, R. S.
- Venue
- Journal of Experimental Child Psychology
- Publisher
- Elsevier BV
- Published
- 2014-07
- Volume
- 123
- Pages
- 53-72
- ISSN
- 0022-0965 (ISSN-L)
- OpenAlex
- W2160277448
- Cited by
- 448
- References
- 66
- FWCI
- 42.62
- Type
- journal article
- Language
- en
- Open access
- green
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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.
