英语翻译请勿使用翻译软体!文章如下：RESULTSTest of the Measurement ModelDue to

英语翻译
请勿使用翻译软体!
文章如下：
RESULTS
Test of the Measurement Model
Due to the limited degree of prior testing of the variables used in the model,steps were taken to purify the construct measurements and improve reliability and validity.Specifically,the measurement model was first subjected to confirmatory factor analysis to test for convergent and discriminant validity,and reliabilities (internal consistency) were tested using Cronbach’s alpha.
As can be seen in Table 1,the overall fit of the CFA was acceptable (Comparative Fit Index [CFI] = .959,no standardized residuals over the absolute value of 2,and a chi-square of 357.925,187 df).As evidence of convergent validity,each of the 22 items loaded on their prespecified hypothesized constructs,all standardized factor loadings exceeded .5,and all tests of unstandardized coefficients were significant (t-values between 10.300 and 18.599; see Table 1,third column,for standardized parameters) (Chin 1998; Fornell and Larcker 1981).Also,as shown in Table 1,all scales achieved Cronbach’s alpha greater than .70 and therefore were deemed acceptably convergent (Nunnally 1978).To establish discriminant validity,a multivariate LaGrange multiplier (LM) test indicated no significant cross-loadings for measurement items with nonhypothesized constructs.Thus,the measurement model was considered sufficiently valid.
只要各位能够帮上我的忙,我给分绝对不会吝啬的.
切记：请勿使用翻译软体!
那麼就麻烦各位了,万事拜托了,
再三叮咛：请勿使用翻译软体！
翻译得愈通顺愈好，我必定会把分数送给你的！

结果
测定模型的检验
由于模型中所用的参数的前期检验不足,我们采取了一些措施来使得构念测量更为精炼,并提高了信度和效度.我们首先对测量模型进行了验证性因子分析,用来检验区分效度和聚合效度,并用克隆巴赫系数检验了信度（内部一致性）.
如图1所示,比较适配分析的总体拟合曲线还是可以接受的（比较适配指标 [CFI] = 0.959,标准化残差< 2,卡方值=357.925,自由度df=187）.聚合效度可从下列指标可以看出：22个项目均具有较高的因子载荷,所有的非标准化系数检验均显著 (T-值介于10.300和18.599之间；见表1,第三列的标准化参数) (Chin 1998; Fornell and Larcker 1981；文献引证无需翻译).而且,表1也表明,所有的scale(心理学专业名词不知如何翻译,尺度?标尺?)的克隆巴赫系数值均超过了0.70,表明区分效度较好(Nunnally 1978；文献引证无需翻译).为了检验区分效度,我们用多变量拉格朗日乘子法进行了检验,结果表明测量项目与非虚拟构念的交叉负载系数（nonhypothesized constructs）并不显著.从而,我们有充分的理由认为测量模型是正确有效的.
我不是心理学专业的,翻译的好辛苦,请加分.