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Understanding cross-national similarities and differences in foundational numeracy skills: meta-analytical evidence from the Numeracy Screener

  • Abbie Cahoon
  • , Nadir Díaz-Simón
  • , Daniel Ansari
  • , Rebecca Merkley
  • , Stephanie Bugden
  • , Ouhao Chen
  • , Saeeda Khanum
  • , Bonnie Brett
  • , Carolina de Weerth
  • , Nancy Estévez-Pérez
  • , Krzysztof Cipora
  • , Jennifer Symonds
  • , Raveena Gill
  • , Wakas Bin Sarfraz
  • , Klency González Hernández
  • , Nadia Nosworthy
  • , Alejandro Maiche
  • , Emily Farran
  • , Lisa Archibald
  • , Yee Lee Shing
  • Camila Gilmore, Katie Gilligan-Lee, Jo-Anne LeFevre, Zachary Hawes, Manuel Aguilar, Melissa E. Libertus, Guilherme Lichand, María Inés Susperreguy, María del Carmen Canto López, Andrew Ribner, Anne van Hoogmoed, Nathan T.T. Lau, Estívaliz Aragón, Javier Fenollar-Cortés, Ricardo Moura, Violeta Pina, Eva Rafetseder, Sobanawartiny Wijeakumar, Anne Lafay, Helena P. Osana, Carlos Mera Cantillo, Jose I. Navarro, Wei Wei, Urszula Oszwa, Marta Sobanska, Bob Kapteijns, Sabrina Di Lonardo Burr, Chang Xu, Marta Białecka, Gamal Cerda, Karolina Byczewska-Konieczny, Yanet Campver García, Aisling Davies, Heather Douglas, Liu Duo, Suzane Garcia, Caridad Hernández Pérez, Zenayda E. Matos, Sarah Michaud, Carlos Pérez Wilson, Iliet Rodríguez García, Seaneen Sloan, Priscilla Talavera, Desiree S. Tan, Mei Ling Tay, Lei Wang, Sharon Wolf, Bruna Mariz Egreja

Research output: Contribution to journal › Article › peer-review

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Abstract

Children’s early numerical abilities are a strong correlate of their later numerical and mathematical skills. The Numeracy Screener is an evidence-based, free paper-and-pencil assessment aimed at measuring children’s ability to compare both symbolic (e.g., single-digit Hindu-Arabic numerals) and non-symbolic (e.g., dot arrays) magnitudes. In this preregistered study, we report Numeracy Screener data collected from 9,118 students aged 3 to 13 years across 20 countries. Multi-level meta-analyses were conducted to investigate the relations between symbolic and non-symbolic numerical magnitude comparison skills, performance differences between these skills, and the relation between comparison skills and mathematical abilities. We also examined the moderating effects of country-level socioeconomic and cultural factors, as well as age, on the effect sizes of the associations and differences. Results showed a strong positive correlation between symbolic and non-symbolic comparison skills. No overall performance difference was observed between the two types of magnitude comparison skills. However, younger participants performed better on non-symbolic than symbolic tasks, whereas older students performed better on symbolic relative to non-symbolic comparisons. Both symbolic and non-symbolic numerical magnitude skills were positively correlated with mathematical performance, with a significantly stronger association for symbolic comparison skills. Furthermore, country-level factors such as the Human Development Index and educational investment moderated the association between non-symbolic comparison skills and mathematical abilities. These findings highlight the role of basic numerical skills in mathematical performance and suggest that socioeconomic and educational factors influence this relation. Future research should consider country-specific and contextual factors to better understand how foundational numerical skills are developed.
Original languageEnglish
JournalJournal of Educational Psychology
Publication statusAccepted - 14 Jul 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 4 - Quality Education
    SDG 4 Quality Education

Keywords

  • Numeracy screener
  • Number
  • child
  • cross-national
  • meta-analytical
  • numeracy
  • foundational

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