General intelligence in middle school students from different Russian regions: Results of PISA-like tests

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2023-05-01 DOI:10.1016/j.intell.2023.101756
Nikita Kolachev , Galina Kovaleva
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Abstract

This study is aimed at investigating the contribution of the general intelligence factor if six PISA domains (reading, mathematical, scientific, financial literacies, global competence, and creative thinking) are combined in one measurement instrument. For achieving our goal, items based on the PISA frameworks are developed, students in grades 5–8 from three different Russian regions are assessed, and three IRT models (unidimensional, multidimensional, and bifactor) are applied to process the data. In addition, the correlations from the multidimensional model are estimated to examine the degree of cognitive specificity and mixture modeling is implemented to investigate ability differentiation across grades. Statistical analysis reveals that the bifactor model comprising one general and six specific factors, has a better fit in each grade. Based on this model, we compute the variance explained by the general factor, with the estimates varying between 60% and 70%. In general, the pure variance explained by specific factors does not exceed 10%. The correlations are above 0.40 in each grade and the averaged associations tend to increase from 6th to 8th grade, although they are smaller in years 6 and 7 compared to year 5. The general ability differentiation effect is observed in grades 6 to 8 and is not present in grade 5. Specific ability differentiation is more pronounced in reading literacy, especially in grade 5 to 7. The results obtained are discussed from the perspective of the ability and developmental differentiation/dedifferentiation problem.

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俄罗斯不同地区中学生的一般智力:类似pisa测试的结果
本研究旨在探讨如果将六个PISA领域(阅读、数学、科学、金融素养、全球能力和创造性思维)结合在一个测量工具中,一般智力因素的贡献。为了实现我们的目标,我们开发了基于PISA框架的项目,对来自俄罗斯三个不同地区的5-8年级学生进行了评估,并应用了三个IRT模型(一维、多维和双因素)来处理数据。此外,通过估算多维模型的相关性来检验认知特异性程度,并采用混合模型来研究年级间的能力差异。统计分析表明,由1个一般因子和6个特殊因子组成的双因子模型在各等级均具有较好的拟合效果。基于该模型,我们计算了由一般因素解释的方差,估计值在60%到70%之间变化。一般来说,由特定因素解释的纯方差不超过10%。各年级的相关系数均在0.40以上,从6年级到8年级,平均相关性有增加的趋势,尽管6年级和7年级的相关性比5年级小。一般的能力分化效应在6至8年级观察到,而在5年级不存在。特异能力分化在阅读素养中更为明显,特别是在5 - 7年级。从能力和发育分化/去分化问题的角度对所得结果进行了讨论。
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CiteScore
7.20
自引率
4.30%
发文量
567
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