IDEAS home Printed from https://ideas.repec.org/a/eee/intell/v65y2017icp67-74.html
   My bibliography  Save this article

Approximate number sense shares etiological overlap with mathematics and general cognitive ability

Author

Listed:
  • Lukowski, Sarah L.
  • Rosenberg-Lee, Miriam
  • Thompson, Lee A.
  • Hart, Sara A.
  • Willcutt, Erik G.
  • Olson, Richard K.
  • Petrill, Stephen A.
  • Pennington, Bruce F.

Abstract

Approximate number sense (ANS), the ability to rapidly and accurately compare quantities presented non-symbolically, has been proposed as a precursor to mathematics skills. Earlier work reported low heritability of approximate number sense, which was interpreted as evidence that approximate number sense acts as a fitness trait. However, viewing ANS as a fitness trait is discordant with findings suggesting that individual differences in approximate number sense acuity correlate with mathematical performance, a trait with moderate genetic effects. Importantly, the shared etiology of approximate number sense, mathematics, and general cognitive ability has remained unexamined. Thus, the etiology of approximate number sense and its overlap with math and general cognitive ability was assessed in the current study with two independent twin samples (N=451 pairs). Results suggested that ANS acuity had moderate but significant additive genetic influences. ANS also had overlap with generalist genetic mechanisms accounting for variance and covariance in mathematics and general cognitive ability. Furthermore, ANS may have genetic factors unique to covariance with mathematics beyond overlap with general cognitive ability. Evidence across both samples was consistent with the proposal that the etiology of approximate number sense functions similar to that of mathematics and general cognitive skills.

Suggested Citation

  • Lukowski, Sarah L. & Rosenberg-Lee, Miriam & Thompson, Lee A. & Hart, Sara A. & Willcutt, Erik G. & Olson, Richard K. & Petrill, Stephen A. & Pennington, Bruce F., 2017. "Approximate number sense shares etiological overlap with mathematics and general cognitive ability," Intelligence, Elsevier, vol. 65(C), pages 67-74.
  • Handle: RePEc:eee:intell:v:65:y:2017:i:c:p:67-74
    DOI: 10.1016/j.intell.2017.08.005
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0160289616302896
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.intell.2017.08.005?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Justin Halberda & Michèle M. M. Mazzocco & Lisa Feigenson, 2008. "Individual differences in non-verbal number acuity correlate with maths achievement," Nature, Nature, vol. 455(7213), pages 665-668, October.
    2. Camilla K. Gilmore & Shannon E. McCarthy & Elizabeth S. Spelke, 2007. "Symbolic arithmetic knowledge without instruction," Nature, Nature, vol. 447(7144), pages 589-591, May.
    3. Robert Plomin, 1999. "Genetics and general cognitive ability," Nature, Nature, vol. 402(6761), pages 25-29, December.
    4. Michèle M M Mazzocco & Lisa Feigenson & Justin Halberda, 2011. "Preschoolers' Precision of the Approximate Number System Predicts Later School Mathematics Performance," PLOS ONE, Public Library of Science, vol. 6(9), pages 1-8, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yulia Kuzmina & Tatiana Tikhomirova & Irina Lysenkova & Sergey Malykh, 2020. "Domain-general cognitive functions fully explained growth in nonsymbolic magnitude representation but not in symbolic representation in elementary school children," PLOS ONE, Public Library of Science, vol. 15(2), pages 1-23, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yulia Kuzmina & Tatiana Tikhomirova & Irina Lysenkova & Sergey Malykh, 2020. "Domain-general cognitive functions fully explained growth in nonsymbolic magnitude representation but not in symbolic representation in elementary school children," PLOS ONE, Public Library of Science, vol. 15(2), pages 1-23, February.
    2. Carmen Brankaer & Pol Ghesquière & Bert De Smedt, 2014. "Children’s Mapping between Non-Symbolic and Symbolic Numerical Magnitudes and Its Association with Timed and Untimed Tests of Mathematics Achievement," PLOS ONE, Public Library of Science, vol. 9(4), pages 1-11, April.
    3. Julie Castronovo & Silke M Göbel, 2012. "Impact of High Mathematics Education on the Number Sense," PLOS ONE, Public Library of Science, vol. 7(4), pages 1-16, April.
    4. Kyungmin Lee & Soohyun Cho, 2019. "Visuo-spatial (but not verbal) executive working memory capacity modulates susceptibility to non-numerical visual magnitudes during numerosity comparison," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-16, March.
    5. Marie-Claire Cammaerts & Roger Cammaerts, 2021. "Young Ants Already Possess a Mental Number Line," International Journal of Biology, Canadian Center of Science and Education, vol. 12(2), pages 1-1, December.
    6. Sargent, Matthew J. & Winton, Bradley G., 2023. "Cognitive ability and performance in accounting students: The importance of data analytics assignments," Journal of Accounting Education, Elsevier, vol. 65(C).
    7. Peter Rumney & Joy Buttress & Iryna Kuksa, 2016. "Seeing, Doing, Writing," SAGE Open, , vol. 6(1), pages 21582440166, February.
    8. Jade Eloise Norris & Julie Castronovo, 2016. "Dot Display Affects Approximate Number System Acuity and Relationships with Mathematical Achievement and Inhibitory Control," PLOS ONE, Public Library of Science, vol. 11(5), pages 1-15, May.
    9. Fabio P. Leite & Roger Ratcliff, 2011. "What cognitive processes drive response biases? A diffusion model analysis," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 6(7), pages 651-687, October.
    10. Liat Goldfarb & Sharon Levy, 2013. "Counting within the Subitizing Range: The Effect of Number of Distractors on the Perception of Subset Items," PLOS ONE, Public Library of Science, vol. 8(9), pages 1-8, September.
    11. Michèle M M Mazzocco & Lisa Feigenson & Justin Halberda, 2011. "Preschoolers' Precision of the Approximate Number System Predicts Later School Mathematics Performance," PLOS ONE, Public Library of Science, vol. 6(9), pages 1-8, September.
    12. repec:cup:judgdm:v:6:y:2011:i:7:p:651-687 is not listed on IDEAS
    13. repec:cup:judgdm:v:8:y:2013:i:3:p:330-344 is not listed on IDEAS
    14. Francesconi, Marco & Heckman, James J, 2015. "Symposium on Child Development and Parental Investment: Introduction," Economics Discussion Papers 16868, University of Essex, Department of Economics.
    15. Nicolas Eber & Patrick Roger & Tristan Roger, 2024. "Finance and intelligence: An overview of the literature," Journal of Economic Surveys, Wiley Blackwell, vol. 38(2), pages 503-554, April.
    16. Emilia Del Bono & John Ermisch & Marco Francesconi, 2012. "Intrafamily Resource Allocations: A Dynamic Structural Model of Birth Weight," Journal of Labor Economics, University of Chicago Press, vol. 30(3), pages 657-706.
    17. Roger, Tristan & Roger, Patrick & Willinger, Marc, 2022. "Number sense, trading decisions and mispricing: An experiment," Journal of Economic Dynamics and Control, Elsevier, vol. 135(C).
    18. Ye, Jun & Zhou, Kun & Chen, Rui, 2021. "Numerical or verbal Information: The effect of comparative information in social comparison on prosocial behavior," Journal of Business Research, Elsevier, vol. 124(C), pages 198-211.
    19. Frances M. Nilsen & Jazmin D.C. Ruiz & Nicolle S. Tulve, 2020. "A Meta-Analysis of Stressors from the Total Environment Associated with Children’s General Cognitive Ability," IJERPH, MDPI, vol. 17(15), pages 1-35, July.
    20. John Ermisch, 2003. "How Do Parents Affect the Life Chances of Their Children as Adults? An Idiosyncratic Review," Social and Economic Dimensions of an Aging Population Research Papers 101, McMaster University.
    21. Basteck, Christian & Mantovani, Marco, 2018. "Cognitive ability and games of school choice," Games and Economic Behavior, Elsevier, vol. 109(C), pages 156-183.
    22. Nagel, Mats, 2020. "Changing perspectives: Towards detailed phenotyping in genetics," Thesis Commons a4nz2, Center for Open Science.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:intell:v:65:y:2017:i:c:p:67-74. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/intelligence .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.