Hey all you smart people! I am currently doing some research and encountered this issue in one my SEM-analysis. The full SEM model has a very high explained variance (Squared Multiple Correlations) for the explained latent variable.

Here is the full SEM model: http://1drv.ms/1oPm41w   
Here is the output: http://1drv.ms/1oPlUXG 

The model fit is not exactly great hence I wonder what possible explainations that could be for the high explained variance. My current idea is that some of the latent indicators have cross loading on the indicators but otherwise I am stumped! 
Hope someone can offer some clarify for a beginner in SEM-modelling. 

Thanks!