Hi everyone,
I'm wondering if any of you have run into this before - two variables, X & Y, are NOT significantly correlated in SPSS, but X significantly predicts Y in an SEM model in the presence of other predictors.

Something changes in the X-Y relationship when X is included with the other predictors. The first thing that comes to mind is multicollinearity (predictors are highly correlated) so I'm reading up on how people deal with this after checking for sources of multicollinearity (e.g., VIF estimates)... is this consistent with how the rest of you would explain and approach this? Any insight would be much appreciated - thanks!