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Numerical representation, math skills, memory, and decision-making

Published online by Cambridge University Press:  27 August 2009

Ellen Peters  and
Alan Castel
Ellen Peters
Affiliation:
Decision Research, Eugene, Oregon 97401. empeters@decisionresearch.orghttp://www.decisionresearch.org/About/People/peters.html
Alan Castel
Affiliation:
Department of Psychology, University of California, Los Angeles, Los Angeles, CA 90095-1563. castel@ucla.eduhttp://castel.bol.ucla.edu
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Abstract

The consideration of deliberate versus automatic processing of numeric representations is important to math education, memory for numbers, and decision-making. In this commentary, we address the possible roles for numeric representations in such higher-level cognitive processes. Current evidence is consistent with important roles for both automatic and deliberative processing of the representations.

Information

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 32 , Issue 3-4 , August 2009 , pp. 347 - 348
Copyright
Copyright © Cambridge University Press 2009

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References

Castel, A. D. (2005) Memory for grocery prices in younger and older adults: The role of schematic support. Psychology and Aging 20:718–21.CrossRefGoogle ScholarPubMed
Castel, A. D. (2007) Aging and memory for numerical information: The role of specificity and expertise in associative memory. Journal of Gerontology: Psychological Sciences 62:194–96.CrossRefGoogle ScholarPubMed
Furlong, E. E. & Opfer, J. E. (2009) Cognitive constraints on how economic rewards affect cooperation. Psychological Science 20:11–16.CrossRefGoogle ScholarPubMed
Halberda, J., Mazzocco, M. M. M. & Feigenson, L. (2008) Individual differences in non-verbal number acuity correlate with math achievement. Nature 455(7213):665–68.CrossRefGoogle Scholar
Hess, T. M. (2000) Aging-related constraints and adaptations in social information processing. In: Generative mental processes and cognitive resources: Integrative research on adaptation and control, ed. Hecker, U. Von, Dutke, S. & Sedek, G., pp. 129–55. Kluwer.Google Scholar
Peters, E., Hess, T. M., Västfjäll, D. & Auman, C. (2007) Adult age differences in dual information processes: Implications for the role of affective and deliberative processes in older adults' decision making. Perspectives on Psychological Science 2:1–23.CrossRefGoogle ScholarPubMed
Peters, E., Slovic, P., Västfjäll, D. & Mertz, C. K. (2008) Intuitive numbers guide decisions. Judgment and Decision Making 3:619–35.CrossRefGoogle Scholar
Peters, E., Västfjäll, D., Slovic, P., Mertz, C. K., Mazzocco, K. & Dickert, S. (2006) Numeracy and decision making. Psychological Science 17:408–14.CrossRefGoogle ScholarPubMed
Rangel, A., Camerer, C. & Montague, P. R. (2008) A framework for studying the neurobiology of value-based decision making. Nature Reviews Neuroscience 9:545–56.CrossRefGoogle ScholarPubMed