Take the tour ×  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.
share|improve this question add comment  1 Answer  This won't
work, the models rarely get inflated in the same way. The proper
analysis should involve Sa