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Relative contributions of g and basic domain-specific mathematics skills to complex mathematics competencies

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  • Ünal, Zehra E.
  • Kartal, Gamze
  • Ulusoy, Serra
  • Ala, Aslı M.
  • Yilmaz, Munube
  • Geary, David C.

Abstract

Meta-analytic structural equation modeling was used to estimate the relative contributions of general cognitive ability or g (defined by executive functions, short-term memory, and intelligence) and basic domain-specific mathematical abilities to performance in more complex mathematics domains. The domain-specific abilities included mathematics fluency (e.g., speed of retrieving basic facts), computational skills (i.e., accuracy at solving multi-step arithmetic, algebra, or geometry problems), and word problems (i.e., mathematics problems presented in narrative form). The core analysis included 448 independent samples and 431,344 participants and revealed that g predicted performance in all three mathematics domains. Mathematics fluency contributed to the prediction of computational skills, and both mathematics fluency and computational skills predicted word problem performance, controlling g. The relative contribution of g was consistently larger than basic domain-specific abilities, although the latter may be underestimated. The patterns were similar across younger and older individuals, individuals with and without a disability (e.g., learning disability), concurrent and longitudinal assessments, and family socioeconomic status, and have implications for fostering mathematical development.

Suggested Citation

  • Ünal, Zehra E. & Kartal, Gamze & Ulusoy, Serra & Ala, Aslı M. & Yilmaz, Munube & Geary, David C., 2023. "Relative contributions of g and basic domain-specific mathematics skills to complex mathematics competencies," Intelligence, Elsevier, vol. 101(C).
    • Handle: RePEc:eee:intell:v:101:y:2023:i:c:s0160289623000788
    DOI: 10.1016/j.intell.2023.101797
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    1. Sue Duval & Richard Tweedie, 2000. "Trim and Fill: A Simple Funnel-Plot–Based Method of Testing and Adjusting for Publication Bias in Meta-Analysis," Biometrics, The International Biometric Society, vol. 56(2), pages 455-463, June.
    2. Francisco L. Rivera-Batiz, 1992. "Quantitative Literacy and the Likelihood of Employment among Young Adults in the United States," Journal of Human Resources, University of Wisconsin Press, vol. 27(2), pages 313-328.
    3. Murnane, Richard J & Willett, John B & Levy, Frank, 1995. "The Growing Importance of Cognitive Skills in Wage Determination," The Review of Economics and Statistics, MIT Press, vol. 77(2), pages 251-266, May.
    4. Santarnecchi, Emiliano & Emmendorfer, Alexandra & Pascual-Leone, Alvaro, 2017. "Dissecting the parieto-frontal correlates of fluid intelligence: A comprehensive ALE meta-analysis study," Intelligence, Elsevier, vol. 63(C), pages 9-28.
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