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][1]][1]   

The output is here: ([pdf][2]).

The model fit is not exactly great, hence I wonder what possible explanation there could be for the high explained variance. My current idea is that some of the latent indicators have cross loadings on the indicators, but otherwise I am stumped!  


  [1]: https://i.sstatic.net/Emxgc.png
  [2]: https://e9eyjg.bn1304.livefilestore.com/y3m_0hzFDrkfKm7d7zoferGgPi9dNd0gmW8WlLMxag21lqF3EpjQSj_2TJ0zcvNHCQuk1kjFBGRuHbgY1mw14B035yWqdze2Bj5e1QApbYLNeh8x-ojT_65qehJS-PLcnbe6x2VP9OfdmbBRBGjqTmIK0MmoCEilEJCM4Ey3bW56XY/Output.pdf?psid=1