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Modeling differentiation of cognitive abilities within the higher-order factor model using moderated factor analysis

机译:使用适度因子分析对高阶因子模型中的认知能力差异建模

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摘要

The general differentiation hypothesis states that the strength of the correlations among a set of IQ subtests varies with a given variable. Instances of the general differentiation hypothesis that have been considered in the literature include age and ability differentiation. Traditionally, the differentiation effect is attributed to the varying role of g in the subtest scores of an IQ test with the age or ability variable. We argue that this is only one possible way in which a differentiation effect may arise. We discuss five ways in which differentiation can emerge in the higher-order factor model of intelligence, and demonstrate that these can be tested using moderated factor analysis. Using this method, we study the degree in which the various formal conceptualizations of differentiation can be distinguished statistically. We investigate the age and ability differentiation hypotheses in a real data set using both a traditional method and the method of moderated factor analysis. We conclude that results concerning the traditional method can be misleading. In addition, results concerning moderated factor analysis show no evidence for age differentiation, and weak evidence for ability differentiation.
机译:一般差异假设指出,一组IQ子测验之间的相关强度随给定变量而变化。文献中已考虑的一般差异假设的实例包括年龄和能力差异。传统上,分化作用归因于g在智商测验的子测验分数中随年龄或能力变量而变化的作用。我们认为这只是可能产生分化效应的一种可能方式。我们讨论了可以在智能的高阶因素模型中出现差异的五种方法,并证明可以使用中度因素分析来测试这些方法。使用这种方法,我们研究了差异的各种形式化概念可以在统计学上进行区分的程度。我们使用传统方法和中度因素分析方法研究真实数据集中的年龄和能力分化假设。我们得出的结论是,有关传统方法的结果可能会产生误导。此外,有关中度因素分析的结果显示没有年龄差异的证据,而能力分化的证据也很弱。

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