Murray Aja Louise, McKenzie Karen, Kuenssberg Renate, Booth Tom
1 University of Edinburgh, Edinburgh, UK.
2 University of Northumbria, Newcastle, NE, UK.
Assessment. 2017 Jun;24(4):444-457. doi: 10.1177/1073191115611230. Epub 2015 Oct 16.
In the current study, we fit confirmatory bi-factor models to the items of the Autism Spectrum Quotient (AQ) and Autism Spectrum Quotient Short Form (AQ-S) in order to assess the extents to which the items of each reflect general versus specific factors. The models were fit in a combined sample of individuals with and without a clinical diagnosis of autism spectrum disorders. Results indicated that, with the exception of the Attention to Details factor in the AQ and the Numbers/Patterns factors in the AQ-S, items primarily reflected a general factor. This suggests that when attempting to estimate an association between a specific symptom measured by the AQ or AQ-S and some criterion, associations will be confounded by the general factor. To resolve this, we recommend using a bi-factor measurement model or factor scores from a bi-factor measurement whenever hypotheses about specific symptoms are being assessed.
在当前研究中，我们将验证性双因素模型应用于自闭症谱系商数（AQ）和自闭症谱系商数简表（AQ-S）的项目，以评估每个项目在多大程度上反映一般因素与特定因素。这些模型适用于有和没有自闭症谱系障碍临床诊断的个体的合并样本。结果表明，除了AQ中的细节关注因素和AQ-S中的数字/模式因素外，项目主要反映一个一般因素。这表明，当试图估计由AQ或AQ-S测量的特定症状与某些标准之间的关联时，关联将被一般因素混淆。为了解决这个问题，我们建议在评估关于特定症状的假设时，使用双因素测量模型或来自双因素测量的因素得分。
