Institute of Child Development, University of Minnesota, Minneapolis, MN, 55455, USA.
University of Minnesota, 1954 Buford Ave., LES #425Z, Saint Paul, MN, 55108, USA.
Behav Genet. 2019 May;49(3):310-316. doi: 10.1007/s10519-018-09946-3. Epub 2019 Jan 18.
Analyses have suggested math anxiety is a multidimensional construct. However, previous behavioral genetic work examining math anxiety was unidimensional. Thus, the purpose of the present study was to examine different approaches for specifying behavioral genetic models of math anxiety as a multidimensional construct. Three models were compared: a unidimensional model, a three dimension multidimensional model, and a bi-factor model, which partitioned variance into one common factor shared across three dimensions of math anxiety and examined residual variance in each dimension. The best fitting model was a bi-factor AE model, which suggested moderate heritability of general math anxiety and that each dimension of math anxiety had unique etiological influences not accounted for by shared variance with the general math anxiety factor. Thus, while there was evidence of shared etiology, there was also evidence of some etiological distinction across dimensions of math anxiety. The results demonstrate the importance of taking into account the dimensionality of the scale when interpreting similarity across twins.
分析表明，数学焦虑是一个多维度的结构。然而，之前关于数学焦虑的行为遗传学研究是单维度的。因此，本研究的目的是探讨指定数学焦虑多维度结构的行为遗传学模型的不同方法。比较了三种模型：一种是单维度模型，一种是三因素多维模型，还有一种是双因素模型，将方差分为数学焦虑的三个维度共有的一个共同因素，并分别检验每个维度的剩余方差。拟合最好的模型是双因素 AE 模型，该模型表明一般数学焦虑具有中等的遗传度，并且数学焦虑的每个维度都有独特的病因影响，这些影响不能用与一般数学焦虑因素的共同方差来解释。因此，尽管存在共同病因的证据，但在数学焦虑的各个维度之间也存在一些病因上的区别。研究结果表明，在解释双胞胎之间的相似性时，考虑量表的维度是很重要的。
