MANOVA (Multiple Analysis
of Variance) is a type of Multivariate
Analysis. MANOVA is similar
except that there are several outputs. The
outputs must be correlated, if they are
not you should use a separate ANOVA analysis
for each output.
There may be one input factor
The benefit of MANOVA is that
if you carried out several ANOVA analysis,
as if the factors were not correlated, you
would increase the probability of a Type
I error. The argument is similar
to the argument for using ANOVA instead
of multiple pairwise t-tests.