You have to calculate manually to get Average Variance Extracted (AVE). Amos do not provide this result. The formula is given by: K^2/n where K= Factor loading, n-the number of item.

Let say you have four items retain in your measurement model: 0.70,0.73, 0.82 and 0.76 of factor loading. So, the calculation is (0.70^2 + 0.73^2 + 0.82^2 + 0.76^2) / 4 = 0.568. Other than that, you can get the result of composite reliability using this calculator: http://www.thestatisticalmind.com/calculators/comprel/comprel.htm

Good luck!

I suggest:  Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18, 39-50.

http://dx.doi.org/10.2307/3151312

You can see an application in my article attached

http://www.scirp.org/journal/PaperInformation.aspx?PaperID=60245

You have to calculate manually to get Average Variance Extracted (AVE). Amos do not provide this result. The formula is given by: K^2/n where K= Factor loading, n-the number of item.

Let say you have four items retain in your measurement model: 0.70,0.73, 0.82 and 0.76 of factor loading. So, the calculation is (0.70^2 + 0.73^2 + 0.82^2 + 0.76^2) / 4 = 0.568. Other than that, you can get the result of composite reliability using this calculator: http://www.thestatisticalmind.com/calculators/comprel/comprel.htm

Good luck!

I am thankful to all researchers to provide useful information.

1) See this video

https://www.youtube.com/watch?v=yk6DVC7Wg7g

2) Download Stats Tools Package from this website

http://statwiki.kolobkreations.com/wiki/Confirmatory_Factor_Analysis#Validity_and_Reliability