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Seventy years, 1000 samples, and 300,000 SPM scores: A new meta-analysis of Flynn effect patterns

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  • Wongupparaj, Peera
  • Wongupparaj, Rangsirat
  • Morris, Robin G.
  • Kumari, Veena

Abstract

Several studies have investigated and found the gradual rise in IQ over time or the Flynn effect (FE) but inconsistent results on the FEs across types of countries and age groups were reported. The current cross-temporal meta-analysis aimed to examine the temporal correlations between mean IQ scores from Standard Progressive Matrices and year of publication, moderated by types of countries and age groups covering seven decades (1948–2020). The given relationships were weighted by sample sizes. The dataset included 1038 independent samples (N = 299,155) from 72 countries. The results generally supported the FE with the IQ gain of 0.22 points per year, but the magnitudes of the IQ gains depended on types of countries and age groups. Stronger FEs were evident in middle-income countries and younger generations. A multicausal explanatory framework should be utilized to explain the underlying mechanism of the secular IQ gains across factors.

Suggested Citation

  • Wongupparaj, Peera & Wongupparaj, Rangsirat & Morris, Robin G. & Kumari, Veena, 2023. "Seventy years, 1000 samples, and 300,000 SPM scores: A new meta-analysis of Flynn effect patterns," Intelligence, Elsevier, vol. 98(C).
    • Handle: RePEc:eee:intell:v:98:y:2023:i:c:s0160289623000314
    DOI: 10.1016/j.intell.2023.101750
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    References listed on IDEAS

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    1. Wongupparaj, Peera & Wongupparaj, Rangsirat & Kumari, Veena & Morris, Robin G., 2017. "The Flynn effect for verbal and visuospatial short-term and working memory: A cross-temporal meta-analysis," Intelligence, Elsevier, vol. 64(C), pages 71-80.
    2. Jakob Pietschnig & Martin Voracek & Anton K Formann, 2010. "Pervasiveness of the IQ Rise: A Cross-Temporal Meta-Analysis," PLOS ONE, Public Library of Science, vol. 5(12), pages 1-6, December.
    3. Sara Reardon, 2014. "Science in court: Smart enough to die?," Nature, Nature, vol. 506(7488), pages 284-286, February.
    4. Garett Jones & W. Schneider, 2006. "Intelligence, Human Capital, and Economic Growth: A Bayesian Averaging of Classical Estimates (BACE) Approach," Journal of Economic Growth, Springer, vol. 11(1), pages 71-93, March.
    5. Rindermann, Heiner & Becker, David, 2018. "FLynn-effect and economic growth: Do national increases in intelligence lead to increases in GDP?," Intelligence, Elsevier, vol. 69(C), pages 87-93.
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    Cited by:

    1. Rodgers, Joseph Lee, 2023. "Eleven articles and 27 authors pay tribute to James Flynn: A summary and critique of special issue articles on the Flynn effect," Intelligence, Elsevier, vol. 101(C).

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