2022
DOI: 10.1037/edu0000687
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How much do students’ scores in PISA reflect general intelligence and how much do they reflect specific abilities?

Abstract: How much do students' scores in PISA reflect general intelligence and how much do they reflect specific abilities?

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Cited by 29 publications
(8 citation statements)
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“…Rindermann and Baumeister (2015) stress that PISA tests in all domains require good reading skills. Later research such as Flores-Mendoza et al ( 2021) and Pokropek et al (2022) confirmed the strong relationships between PISA and general cognitive ability. Hence, when aiming to understand what drives PISA scores, it is pertinent to examine cognitive abilities aggregated to the country level (Boman, 2022a).…”
Section: Cognitive Ability Ses and Pisamentioning
confidence: 83%
“…Rindermann and Baumeister (2015) stress that PISA tests in all domains require good reading skills. Later research such as Flores-Mendoza et al ( 2021) and Pokropek et al (2022) confirmed the strong relationships between PISA and general cognitive ability. Hence, when aiming to understand what drives PISA scores, it is pertinent to examine cognitive abilities aggregated to the country level (Boman, 2022a).…”
Section: Cognitive Ability Ses and Pisamentioning
confidence: 83%
“…Bifactor analyses of Polish 2009 PISA data found that student responses to test items are largely accounted for by general cognitive ability, with little variance accounted for by independent reading, mathematics and science factors. The correlations of ESCS were highest with g ( r = 0.37) and much lower with the mathematics ( r = 0.07), reading ( r = 0.03) and science ( r = 0.02) factors (Pokropek et al, forthcoming). The small correlations between ESCS and the achievement domains are inconsistent with the SES model which emphasises the importance of the family and school for domain specific skills.…”
Section: Accounting For Empirical Phenomenamentioning
confidence: 99%
“…Unfortunately, due to the small number of factors, comparison between a correlated group factor model and a higher order one could not be conducted. It was assumed that a higher-order model was better since this is generally what works out in intelligence test data, and the data here are largely unidimensional in the sense that most of the reliable variance is attributable to the general factor and there is little residual reliable variance in the group factors, a typical finding for intelligence test data (Benson et al, 2018;Pokropek et al, 2021).…”
Section: Figure 2 Exploratory Graph Analytic Resultsmentioning
confidence: 90%