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Published in 2017 at "Intelligence"
DOI: 10.1016/j.intell.2017.05.003
Abstract: We compare the results of the Standard Progressive Matrices on two samples from Khartoum, one from 1999 (N 6877) and the other from 2010 (N 5659), both aged between 9 and 25. We show that…
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Keywords:
effect khartoum;
negative flynn;
sudanese capital;
effect ... See more keywords
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Published in 2020 at "Intelligence"
DOI: 10.1016/j.intell.2020.101485
Abstract: Abstract The goal of this study was to examine how IQ changes (the Flynn effect) among school-aged children in Portugal behaved over a period of 25 years (1991, 2008 and 2016) that registered major economic transformations…
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Keywords:
raven coloured;
intellectual ability;
coloured progressive;
1991 2008 ... See more keywords
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Published in 2021 at "Intelligence"
DOI: 10.1016/j.intell.2021.101544
Abstract: Abstract Generational intelligence test score changes were predominantly positive over most of the past century. However, so far, only little is known about this so-called Flynn effect in children that have not yet been exposed…
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Keywords:
effect;
flynn effect;
test score;
germanophone preschoolers ... See more keywords
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Published in 2017 at "Personality and Individual Differences"
DOI: 10.1016/j.paid.2017.03.060
Abstract: Abstract The results of two previously published Arabic language administrations of the Standard Progressive Matrices (SPM) are compared. The first is an administration of the SPM in 2006 to a probability sample of 6529 Kuwaitis…
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Keywords:
kuwait effect;
negative flynn;
effect;
effect europe ... See more keywords
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Published in 2019 at "Neuropsychology"
DOI: 10.1037/neu0000569
Abstract: OBJECTIVE Premorbid estimates of intellectual functioning are a key to assessment. This study aimed to compare 3 common measures and assess their accuracy: the Test of Premorbid Functioning (TOPF), Oklahoma Premorbid Intelligence Estimate (OPIE-3), and…
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Keywords:
models premorbid;
barona equation;
flynn effect;
opie ... See more keywords
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Published in 2017 at "Multivariate Behavioral Research"
DOI: 10.1080/00273171.2017.1354758
Abstract: ABSTRACT This paper introduces an extension of cluster mean centering (also called group mean centering) for multilevel models, which we call “double decomposition (DD).” This centering method separates between-level variance, as in cluster mean centering,…
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Keywords:
cluster mean;
analysis;
mean centering;
level ... See more keywords