The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
The Importance of Magnitude Information in Numerical Processing: Evidence from the SNARC Effect
Abstract
Models of the numerical cognitive system differ in the importance they attach to magnitude information in numerical processing. In this paper, the necessity of addressing a central semantic magnitude system in arabic number processing is evaluated by looking at the SNARC-effect (Dehaene, Bossini, & Giraux, 1993). The existence of a Spatial Numerical Association of Response Codes (small numbers are reacted to faster with the left hand, large numbers with the right hand) has been interpreted as an indication of access to the semantic system. In Experiment 1, we replicated the effect in a parity judgement task. In Experiment 2, we extended the SNARC-effect to a phoneme monitoring task, showing that magnitude information was accessed during arabic-to-verbal transcoding. Experiment 3 demonstrated that the SNARC effect in the phoneme monitoring task did not change with practice. We conclude, therefore, that number magnitude plays a more important role than is generally accepted.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The mental representation of parity and number magnitude.
Dehaene, S., Bossini, S., & Giraux, P. (1993) · Journal of Experimental Psychology General · doi:10.1037//0096-3445.122.3.371 · Cited by 2,630
Varieties of numerical abilities
Dehaene, S. (1992) · Cognition · doi:10.1016/0010-0277(92)90049-n · Cited by 1,972
Preverbal and verbal counting and computation
Gallistel, C. R., & Gelman, R. (1992) · Cognition · doi:10.1016/0010-0277(92)90050-r · Cited by 1,373
Regression analyses of repeated measures data in cognitive research.
Lorch, R. F., & Myers, J. L. (1990) · Journal of Experimental Psychology: Learning, Memory, and Cognition · doi:10.1037//0278-7393.16.1.149 · Cited by 791
Cognitive mechanisms in numerical processing: Evidence from acquired dyscalculia
McCloskey, M. (1992) · Cognition · doi:10.1016/0010-0277(92)90052-j · Cited by 656
Cognitive mechanisms in number processing and calculation: Evidence from dyscalculia
McCloskey, M., Caramazza, A., & Basili, A. (1985) · Brain and Cognition · doi:10.1016/0278-2626(85)90069-7 · Cited by 627
Is three greater than five: The relation between physical and semantic size in comparison tasks
Henik, A., & Tzelgov, J. (1982) · Memory & Cognition · doi:10.3758/bf03202431 · Cited by 587
Attention, automaticity, and levels of representation in number processing.
Dehaene, S., & Akhavein, R. (1995) · Journal of Experimental Psychology: Learning, Memory, and Cognition · doi:10.1037//0278-7393.21.2.314 · Cited by 342
Architectures for numerical cognition
Campbell, J. I. D. (1994) · Cognition · doi:10.1016/0010-0277(94)90075-2 · Cited by 327
Campbell, J. I., & Clark, J. M. (1988) · Journal of Experimental Psychology: General · doi:10.1037//0096-3445.117.2.204 · Cited by 233
Cited by
Interactions between number and space in parietal cortex
Hubbard, E. M., Piazza, M., Pinel, P., & Dehaene, S. (2005) · Nature Reviews Neuroscience · doi:10.1038/nrn1684 · Cited by 1,247
How to analyze Likert and other rating scale data
Harpe, S. E. (2015) · Currents in Pharmacy Teaching and Learning · doi:10.1016/j.cptl.2015.08.001 · Cited by 874
Perceiving numbers causes spatial shifts of attention
Fischer, M. H., Castel, A. D., Dodd, M. D., & Pratt, J. (2003) · Nature Neuroscience · doi:10.1038/nn1066 · Cited by 658
Notational Modulation of the SNARC and the MARC (Linguistic Markedness of Response Codes) Effect
Nuerk, H., Iversen, W., & Willmes, K. (2004) · The Quarterly Journal of Experimental Psychology Section A · doi:10.1080/02724980343000512 · Cited by 256
Spatial Associations in Number-Related Tasks: A Comparison of Manual and Pedal Responses
Schwarz, W., & Müller, D. (2006) · Experimental Psychology · doi:10.1027/1618-3169.53.1.4 · Cited by 69
Metadata
- Authors
- Fias, W.
- Venue
- Mathematical Cognition
- Publisher
- Informa UK Limited
- Published
- 1996-04
- Volume
- 2
- Issue
- 1
- Pages
- 95-110
- ISSN
- 1354-6791 (ISSN-L)
- 1464-0724
- OpenAlex
- W2042343040
- Cited by
- 477
- References
- 10
- FWCI
- 2.77
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The Importance of Magnitude Information in Numerical Processing: Evidence from the SNARC Effect. https://app.cochat.ai/papers/10.1080/135467996387552
- The paper
- Fias, W. (1996). The Importance of Magnitude Information in Numerical Processing: Evidence from the SNARC Effect. Mathematical Cognition. https://doi.org/10.1080/135467996387552
Data sources
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.