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Application of hierarchical genetic models to Raven and WAIS subtests: a Dutch twin study.

机译:荷兰双胞胎研究将分层遗传模型应用于Raven和WAIS子测验。

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Hierarchical models of intelligence are highly informative and widely accepted. Application of these models to twin data, however, is sparse. This paper addresses the question of how a genetic hierarchical model fits the Wechsler Adult Intelligence Scale (WAIS) subtests and the Raven Standard Progressive test score, collected in 194 18-year-old Dutch twin pairs. We investigated whether first-order group factors possess genetic and environmental variance independent of the higher-order general factor and whether the hierarchical structure is significant for all sources of variance. A hierarchical model with the 3 Cohen group-factors (verbal comprehension, perceptual organisation and freedom-from-distractibility) and a higher-order g factor showed the best fit to the phenotypic data and to additive genetic influences (A), whereas the unique environmental source of variance (E) could be modeled by a single general factor and specifics. There was no evidence for common environmental influences. The covariation among the WAIS group factors and the covariation between the group factors and the Raven is predominantly influenced by a second-order genetic factor and strongly support the notion of a biological basis of g.
机译:情报的分层模型具有很高的信息量并被广泛接受。但是,将这些模型应用于孪生数据很少。本文探讨了遗传分层模型如何适合Wechsler成人智力量表(WAIS)子测验和Raven标准渐进测验分数的问题,该测验是从194个18岁的荷兰双胞胎对中收集的。我们调查了一阶分组因子是否具有独立于高阶通用因子的遗传和环境方差,以及该层次结构是否对所有方差源均显着。具有3个Cohen分组因子(语言理解,感知组织和分散注意力的自由)和较高阶g因子的层次模型显示出最适合表型数据和加性遗传影响(A),而唯一环境变化方差(E)可以由单个一般因素和具体情况建模。没有证据表明常见的环境影响。 WAIS群因子之间的协变以及群因子与Raven之间的协变主要受二阶遗传因子影响,并强烈支持g的生物学基础。

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