Hegelund Emilie R, Mortensen Erik Lykke, Flensborg-Madsen Trine, Dammeyer Jesper, Christensen Kaare, McGue Matt, Klatzka Christoph H, Spinath Frank M, Johnson Wendy
Methodology and Analysis, Statistics Denmark, Copenhagen, Denmark.
Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
Behav Genet. 2025 Jan;55(1):12-28. doi: 10.1007/s10519-024-10203-z. Epub 2024 Nov 2.
Education-related variables are positively associated with intelligence in both causal directions, but little is known about the associations' underlying genetically and environmentally intertwined processes and many 'third variables' are probably involved too. In this study, we investigated how school achievement, measured by grade point average (GPA), moderated intelligence test score variation in young adulthood in broadly representative samples from the U.S. state of Minnesota, Denmark, and Germany, attempting to improve both understanding of the importance of environmental contexts and the limitations of currently available modelling techniques to help remedy them. School achievement was positively associated with intelligence test scores in all three contexts, but it moderated variances differently, even within the two cohorts comprising the Minnesota sample. One Minnesota cohort and the German sample suggested that shared environmental variance was larger among individuals with extreme GPAs, while the Danish sample suggested that this was only true among individuals with low GPAs. In contrast to these observations, the other Minnesota cohort suggested that genetic and non-shared environmental variances were greater among individuals with high GPAs. These observations indicated that underlying individual developmental processes and population-level impacts differed. However, our statistical models did not capture these differences clearly. The ways in which they failed all suggested the model limitations involve an inability to address degrees to which environmental constraints restrain social movements that are confounded with individual variations in capacities to move within society.
与教育相关的变量在两个因果方向上都与智力呈正相关,但对于这些关联背后的基因和环境相互交织的过程知之甚少,而且可能还涉及许多“第三变量”。在本研究中,我们调查了在美国明尼苏达州、丹麦和德国具有广泛代表性的样本中,以平均绩点(GPA)衡量的学业成绩如何调节青年期智力测试分数的变化,试图增进对环境背景重要性的理解以及当前可用建模技术的局限性,以帮助弥补这些不足。在所有三种情况下,学业成绩都与智力测试分数呈正相关,但它对差异的调节方式不同,即使在构成明尼苏达样本的两个队列中也是如此。明尼苏达的一个队列和德国样本表明,在GPA极端的个体中,共享环境差异更大,而丹麦样本表明只有在GPA较低的个体中才是如此。与这些观察结果相反,明尼苏达的另一个队列表明,在GPA较高的个体中,基因和非共享环境差异更大。这些观察结果表明,潜在的个体发育过程和群体水平的影响是不同的。然而,我们的统计模型并没有清楚地捕捉到这些差异。它们失败的方式都表明模型的局限性在于无法解决环境限制抑制社会流动的程度,而这与个体在社会中流动能力的差异相互混淆。