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DC Field | Value | Language |
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dc.contributor.author | Wongupparaj, P | - |
dc.contributor.author | Wongupparaj, R | - |
dc.contributor.author | Morris, RG | - |
dc.contributor.author | Kumari, V | - |
dc.date.accessioned | 2023-05-18T07:49:24Z | - |
dc.date.available | 2023-03-17 | - |
dc.date.available | 2023-05-18T07:49:24Z | - |
dc.date.issued | 2023-03-17 | - |
dc.identifier | ORCID iD: Veena Kumari https://orcid.org/0000-0002-9635-5505 | - |
dc.identifier | 101750 | - |
dc.identifier.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. | en_US |
dc.identifier.issn | 0160-2896 | - |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/26469 | - |
dc.description | Data availability: Data will be made available on request. | en_US |
dc.description | Lists of low-, middle- or high-income countries are available online at https://www.sciencedirect.com/science/article/pii/S0160289623000314?via%3Dihub#s0060 . | - |
dc.description.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. | en_US |
dc.description.sponsorship | The current investigation was financially supported by Cognitive Science and Innovation Research Unit (CSIRU), College of Research Methodology and Cognitive Science, Burapha University, Thailand. | en_US |
dc.format.extent | 1 - 9 | - |
dc.language | English | - |
dc.language.iso | en_US | en_US |
dc.publisher | Elsevier | en_US |
dc.rights | Copyright © 2023 Elsevier Inc. All rights reserved. This is the accepted manuscript version of an article which has been published in final form at https://doi.org/10.1016/j.intell.2023.101750, made available on this repository under a Creative Commons CC BY-NC-ND attribution licence (https://creativecommons.org/licenses/by-nc-nd/4.0/). | - |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | - |
dc.subject | cross-temporal meta-analysis | en_US |
dc.subject | the sample-size weighted-regression equation | en_US |
dc.subject | standard progressive matrices | en_US |
dc.subject | non-verbal intelligence | en_US |
dc.title | Seventy years, 1000 samples, and 300,000 SPM scores: A new meta-analysis of Flynn effect patterns | en_US |
dc.type | Article | en_US |
dc.identifier.doi | https://doi.org/10.1016/j.intell.2023.101750 | - |
dc.relation.isPartOf | Intelligence | - |
pubs.publication-status | Published | - |
pubs.volume | 98 | - |
dc.identifier.eissn | 1873-7935 | - |
dc.rights.holder | Elsevier Inc. | - |
Appears in Collections: | Dept of Life Sciences Embargoed Research Papers |
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