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Etiological Distinction Across Dimensions of Math Anxiety.
Behavior Genetics ( IF 2.6 ) Pub Date : 2019-01-18 , DOI: 10.1007/s10519-018-09946-3 Sarah L Lukowski 1, 2 , Jack DiTrapani 3 , Nicholas J Rockwood 3 , Minjeong Jeon 4 , Lee A Thompson 5 , Stephen A Petrill 3
Behavior Genetics ( IF 2.6 ) Pub Date : 2019-01-18 , DOI: 10.1007/s10519-018-09946-3 Sarah L Lukowski 1, 2 , Jack DiTrapani 3 , Nicholas J Rockwood 3 , Minjeong Jeon 4 , Lee A Thompson 5 , Stephen A Petrill 3
Affiliation
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.
中文翻译:
数学焦虑各个维度的病因学区别。
分析表明数学焦虑是一个多维结构。然而,之前研究数学焦虑的行为遗传学工作是单维的。因此,本研究的目的是检查将数学焦虑的行为遗传模型指定为多维结构的不同方法。比较了三种模型:一维模型、三维多维模型和双因子模型,该模型将方差划分为数学焦虑三个维度共享的一个公共因子,并检查每个维度的残余方差。最佳拟合模型是双因素 AE 模型,该模型表明一般数学焦虑具有中等遗传力,并且数学焦虑的每个维度都有独特的病因学影响,无法通过与一般数学焦虑因素的共同方差来解释。因此,虽然有共同病因的证据,但也有证据表明数学焦虑各个维度之间存在一些病因学差异。结果证明了在解释双胞胎之间的相似性时考虑量表维度的重要性。
更新日期:2019-11-01
中文翻译:
数学焦虑各个维度的病因学区别。
分析表明数学焦虑是一个多维结构。然而,之前研究数学焦虑的行为遗传学工作是单维的。因此,本研究的目的是检查将数学焦虑的行为遗传模型指定为多维结构的不同方法。比较了三种模型:一维模型、三维多维模型和双因子模型,该模型将方差划分为数学焦虑三个维度共享的一个公共因子,并检查每个维度的残余方差。最佳拟合模型是双因素 AE 模型,该模型表明一般数学焦虑具有中等遗传力,并且数学焦虑的每个维度都有独特的病因学影响,无法通过与一般数学焦虑因素的共同方差来解释。因此,虽然有共同病因的证据,但也有证据表明数学焦虑各个维度之间存在一些病因学差异。结果证明了在解释双胞胎之间的相似性时考虑量表维度的重要性。