英语翻译After obtaining estimates of the A and E parameters of theCholesky decomposition model,the estimated Cholesky pathcoeffi cients were converted and rescaled into A and E correlationmatrices for the 22 variables,which then served as the inp

英语翻译After obtaining estimates of the A and E parameters of theCholesky decomposition model,the estimated Cholesky pathcoeffi cients were converted and rescaled into A and E correlationmatrices for the 22 variables,which then served as the inp
英语翻译
After obtaining estimates of the A and E parameters of the
Cholesky decomposition model,the estimated Cholesky path
coeffi cients were converted and rescaled into A and E correlation
matrices for the 22 variables,which then served as the input
to exploratory factor analyses performed in Mplus 5.21.Exploratory
factor analyses were conducted using an unweighted least
squares estimator because of the nonpositive defi nite properties
of the A and E correlation structures.The geomin rotation method
in Mplus was used to obtain the oblique rotation of the chosen
exploratory factor analysis solution.We used oblique rotations
because we wanted to examine the magnitude of the relationship
between the resulting genetic and environmental factors.
The exploratory factor analysis of the genetic correlation matrix
produced four eigenvalues above unity:9.88,3.19,1.85,and 1.53.
A scree plot was consistent with an infl ection break at either three
or four factors.The fourth factor identifi ed a coherent factor of
fi ve disorders (genetic factor 4 below) and so merited retention.
By contrast,a fi fth factor included only one syndrome with a substantial
loading (eating disorders)—a clear sign of overextraction.
Furthermore,the four-factor solution provides a reasonable summary
of the matrix of genetic correlations seen in Table S3 in the
online data supplement.
Exploratory factor analysis of the specifi c environmental correlation
matrix revealed six factors with eigenvalues exceeding unity:
5.17,2.70,1.46,1.34,1.19,and 1.10.Examining the scree plot suggests
a break between three and four factors.Adding a third factor
identifi ed a coherent bipolar factor with salient loadings on fi ve
disorders (environmental factor 3 below).Adding a fourth factor,
by contrast,identifi ed a minimally coherent factor with loadings
on only two disorders—positive on drug abuse or dependence and
negative on dependent personality disorder.We again saw this as
evidence of overextraction,so we present results from a four-factor
genetic and a three-factor unique environmental solution.
翻完追加50分,因为怕没人翻浪费所以才先定成50分的.看着长其实没有几句话,对翻译论文有经验的高手应该不是问题的,come on,我自己翻的比这多多了,实在没时间才出此下策,也是因为自己对统计不擅长,一些名次叫不准.六小时后停.有意翻译者先谢谢了

英语翻译After obtaining estimates of the A and E parameters of theCholesky decomposition model,the estimated Cholesky pathcoeffi cients were converted and rescaled into A and E correlationmatrices for the 22 variables,which then served as the inp
在获得的A和E的参数估计
Cholesky分解模型,估计乔列斯基路径
转换和重新调整到A和E的相关系数cients
22个变量的矩阵,然后输入
5.21 Mplus进行探索性因素分析.探索
使用加权至少进行因素分析
因为非正DEFI NITE属性平方估计
A和E的相关结构.geomin旋转法
在Mplus用于获得所选择的斜旋转
探索性因素分析的解决方案.我们采用斜旋转
因为我们要研究的关系幅度
之间产生的遗传和环境因素.
遗传相关矩阵的探索性因素分析
产生上述四个特征值统一：9.88,3.19,1.85,和1.53.
一个卵石图INFL ection打破分为三
四个因素.第四个因素identifi ED一个连贯的因素
五个障碍（遗传因子4所示）,因此值得保留.
相比之下,一个科幻FTH因素只包括这个拥有大量综合征
加载（饮食失调症）的overextraction的明显标志.
此外,四个因素的解决方案提供了一个合理的总结
S3表中看到的遗传相关矩阵
在线数据补充.
探索特定环境相关的因素分析
矩阵显示6个因素特征值超过团结：
5.17,2.70,1.46,1.34,1.19和1.10.检查的卵石情节建议
之间休息三,四个因素.新增的第三个因素
identifi编一个连贯的双极型科幻已经突出负荷因子
障碍（环境因素下文第3）.添加第四个因素,
相比之下,identifi版微创连贯因素与负荷
只有两种疾病阳性药物滥用或依赖及
消极依赖型人格障碍.我们再次看到本作
overextraction证据,所以我们现在从四个因素的结果
遗传和一个三要素的独特环境的解决方案.