I have a very simple structural model, with 11 exogenous constructs predicting 1 endogenous latent variable. I examined my structural model with PLS, and I got very poor results - none of the 11 paths is significant, none of the t-values and p values pass the minimum threhold. However, when I included only 3 exogenous constructs predicting the one endogenous construct, the 3 t-values are then all significant. I have no problem with the measurement model, so I reported the structural model evaluation with the 11 exogenous constructs. But in this way I cannot reach the findings of the 3 significant paths, as they are only significant when all the other 8 constructs are eliminated.
My questions are:
How should I report the results to reach the right conclusion (3 significant paths)? Because as far as I know, the complete model should be examined and reported, elimination of constructs should not be done unless the constructs have issues at measurement model evaluation.
In my case when no single path is significant, what is the right way to eliminate constructs in evaluating structural model? (For example, should we eliminate one by one to see whether there's improvement in t-values?)