Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/26469
Title: Seventy years, 1000 samples, and 300,000 SPM scores: A new meta-analysis of Flynn effect patterns
Authors: Wongupparaj, P
Wongupparaj, R
Morris, RG
Kumari, V
Keywords: cross-temporal meta-analysis;the sample-size weighted-regression equation;standard progressive matrices;non-verbal intelligence
Issue Date: 17-Mar-2023
Publisher: Elsevier
Citation: Wongupparaj, P. et al. (2023) 'Seventy years, 1000 samples, and 300,000 SPM scores: A new meta-analysis of Flynn effect patterns', Intelligence, 98, 101750, pp. 1 - 9. doi: 10.1016/j.intell.2023.101750.
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.
Description: Data availability: Data will be made available on request.
Lists of low-, middle- or high-income countries are available online at https://www.sciencedirect.com/science/article/pii/S0160289623000314?via%3Dihub#s0060 .
URI: https://bura.brunel.ac.uk/handle/2438/26469
DOI: https://doi.org/10.1016/j.intell.2023.101750
ISSN: 0160-2896
Other Identifiers: ORCID iD: Veena Kumari https://orcid.org/0000-0002-9635-5505
101750
Appears in Collections:Dept of Life Sciences Embargoed Research Papers

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