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The Impact of Mathematical Proficiency on the Number-Space Association

Overview of attention for article published in PLOS ONE, January 2014
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Title
The Impact of Mathematical Proficiency on the Number-Space Association
Published in
PLOS ONE, January 2014
DOI 10.1371/journal.pone.0085048
Pubmed ID
Authors

Danielle Hoffmann, Christophe Mussolin, Romain Martin, Christine Schiltz

Abstract

A specific instance of the association between numerical and spatial representations is the SNARC (Spatial Numerical Association of Response Codes) effect. The SNARC effect describes the finding that during binary classification of numbers participants are faster to respond to small/large numbers with the left/right hand respectively. Even though it has been frequently replicated, important inter-individual variability has also been reported. Mathematical proficiency is an obvious candidate source for inter-individual variability in numerical judgments, but studies investigating its influence on the SNARC effect remain scarce. The present experiment included a total of 95 University students, divided into three groups differing significantly in their mathematical proficiency levels. Using group analyses, it appeared that the three groups differed significantly in the strength of their number-space associations in a parity judgment task. This result was further confirmed on an individual level, with higher levels in arithmetic leading to relatively weaker SNARC effects. To explain this negative relationship we propose accounts based on differences in access to qualitatively different numerical representations and also consider more domain general factors, with a focus on inhibition capacities.

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Mendeley readers

The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 3%
United Kingdom 1 1%
France 1 1%
Belgium 1 1%
Unknown 86 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 21%
Student > Master 14 15%
Researcher 13 14%
Student > Bachelor 9 10%
Student > Doctoral Student 8 9%
Other 18 20%
Unknown 11 12%
Readers by discipline Count As %
Psychology 49 53%
Social Sciences 7 8%
Mathematics 4 4%
Arts and Humanities 4 4%
Linguistics 2 2%
Other 10 11%
Unknown 16 17%