The usual problem of MANOVA, which is hard to avoid, is that
even if a test comes out significant, you can't say what you have
shown except 'different.'
You get a clue by looking at the univariate tests and correlations.
Or drawing up the interesting contrasts and testing them to see
if they account for everything.
I have a problem, here, that might be avoidable -- I can't tell
what you are describing. Part of that is 'ugly abbreviations,'
part is 'I do not like the terminology, DV and IV, abbreviated or
not' so I will not take much time at it.
On Fri, 18 May 2001 14:57:49 -0500, "auda" <[EMAIL PROTECTED]> wrote:
> Hi, all,
> In my experiment, two dependent variables were measured (say, DV1 and DV2).
> I found that when analyzed sepeartely with ANOVA, independent variable (say,
> IV and had two levels IV_1 and IV_2) modulated DV1 and DV2 differentially:
>
> mean DV1 in IV_1 > mean DV1 in IV_2
> mean DV2 in IV_1 < mean DV2 in IV_2
>
> If analyzed with MANOVA, the effect of IV was significant, Rao
> R(2,14)=112.60, p<0.000. How to intepret this result of MANOVA? Can I go
> ahead to claim IV modulated DV1 and DV2 differentially based up the result
> from MANOVA? Or I have to do other tests?
>
> Moreover, can I treat DV1 and DV2 as two levels of a factor, say, "type of
> dependent variable", and then go ahead to test the data with
> repeated-measures ANOVA and see if there is an interaction between IV and
> "type of dependent variable"?
--
Rich Ulrich, [EMAIL PROTECTED]
http://www.pitt.edu/~wpilib/index.html
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