Evidence map›Paper›PMID 41777095›Full record

ArticleDevelopmental science2026

Non-Symbolic Magnitude Processing Is a Strong Correlate of Symbolic Math Skills in Children From Ghana and Côte d'Ivoire.

Stephanie Bugden, Daniel Ansari, Guilherme Lichand, Esinam Ami Avornyo, Sharon Wolf

Abstract read
In one paragraph

Article in Developmental science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Stephanie BugdenDepartment of Psychology, University of Winnipeg, Winnipeg, Canada.ORCID https://orcid.org/0000-0001-7897-4532
Daniel AnsariDepartment of Psychology, The Numerical Cognition Laboratory, The University of Western Ontario, London, Canada.ORCID https://orcid.org/0000-0002-7625-618X
Guilherme LichandStanford Graduate School of Education, Stanford University, Stanford, California, USA.ORCID https://orcid.org/0000-0002-9118-1745
Esinam Ami AvornyoInstitute of Education, University of Cape Coast, Cape Coast, Ghana.
Sharon WolfGraduate School of Education, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0000-0002-8076-8399

Funding

British AcademyJacobs FoundationThe Eunice Kennedy Shriver National Institute of Child Health and Human Development (5K99HD098329-02)United Bank of Switzerland Optimus Foundation 5K99HD098329-02World Bank Strategic Impact Evaluation Fund and Early Learning Partnership
6 · The paper itself

Abstract

The ability to understand and compare non-symbolic (e.g., dot arrays) and symbolic (e.g., Arabic numerals) magnitudes is a critical foundation for learning math. A meta-analysis has revealed that symbolic magnitude processing is a stronger predictor of math performance than non-symbolic, but the evidence base is restricted almost entirely to countries in the Minority World. It is unclear how the strength of the associations between symbolic and non-symbolic magnitude processing and math performance varies across contexts. An examination of cross-national similarities and differences in foundational numeracy skills is sorely needed. In the present study, we examine the predictive nature of symbolic and non-symbolic magnitude processing in school-aged children from Ghana (n = 350) and Côte d'Ivoire (CIV; n = 342), two West African countries in the Majority World. Contrary to prior studies from countries in the Minority World, we found that non-symbolic magnitude processing was a significant and unique predictor of math performance in 5- to 13-year-olds from Ghana. The strong association remains significant when controlling for symbolic magnitude processing, literacy, executive functioning, and socioemotional skills. A second preregistered study with participants from Côte d'Ivoire revealed the same pattern of results. These associations diverged from those that have been found in the Minority World and underscore the importance of taking a global perspective for understanding the cognitive precursors for math development. The data also highlight the potential use of the Numeracy Screener to measure children's understanding of numerical magnitude in classrooms around the world.

Indexed as

MathematicsAdolescentChildChild, PreschoolCognitionComprehensionCote d'IvoireExecutive FunctionFemaleGhanaHumansLearningMalemath achievementnumerical magnitude processingsub‐Saharan Africa

Identifiers

PMID41777095
PMCPMC12957901

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.