WO YE XIANGZHIDAO A

AVE= （Σλ2）/ （（Σλ2）+Σ（1-R2））；其中，2上标，表示平方
组合信度用ρc表示，AVE值用ρv表示，其中c、v都是下标。
组合信度的计算公式是：ρv = （Σλ）2/ （（Σλ）2+Σ（1-R2））；注意，与AVE值计算公式中2的位置不同。
哎，额刚开始时，还认为吴大师的书印刷错误。
最后，才知道，是额烟花了……

收藏了！！！!

有答案了么，我也遇到这个问题，不会做啊。。

In a paper published in the Journal of Marketing Research in 1981, a group of statisticians introduced the concept of Average Variance Extracted, a statistic that states how much variance captured by the latent variable in a structural equation model is shared among other variables. The calculation of Average Variance Extracted requires a structural equation model to already exist, since it needs the loadings of the indicators for the latent variable for which it is to be calculated.
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Step 1
List the statistics that will be used for the Average Variance Extracted computation. The statistics needed are the loadings for the indicators on the latent variable of interest, the variance of the latent variable and the variances of the measurement errors for all of the indicators. These statistics should all come directly from your structural equation model.
Step 2
Compute the sum of squares for the indicators loading on the latent variable. List the loadings. Square these loadings. Sum the resulting numbers. Call this value "SSI."
Step 3
Sum the variances of the measurement errors. Call this value "SVe."
Step 4
Compute the denominator for the Average Variance Extracted. Multiply "SSI" by the variance of the latent variable. Add "SVe" to the result. Call this value "Denom."
Step 5
Compute the numerator for the Average Variance Extracted. Multiply "SSI" by the variance of the latent variable. Call this result "Numer."
Step 6
Calculate the Average Variance Extracted. Divide "Numer" by "Denom." The result will be a number between zero and one. This is the Average Variance Extracted.