I am aware that multivariate non-normality in SEM can inflate the chi-square statistic and deflate standard errors of parameter estimates. I can deal with the latter (in AMOS) using bootstrapping procedures. But here's my specific question: while I can't correct for chi-square inflation in AMOS (as far as I am aware), does this inflation matter if I am mostly interested in comparing several models using the chi-square change, each of which will presumably be inflated in the same manner, rather than simply testing whether a single model is well-fitting? Moreover, my best fitting model fits well by all sensible criteria, so the chi-square inflation per se is not a major concern.
As this query implies, I use AMOS and haven't currently got access to M-Plus or another similar package to apply the correction to chi-square inflation they provide.