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Hi Jeremy,
Thank you again for your precious help! You are always very clear and concise.
I am convinced… 5 regressions it is. Now a silly question... would I have to use a correction for error, since these are 5 different personality traits, but they still account for a common personality measure?
You are right in assuming that my 5 outcomes are the big five and my predictor is parenting style (with 3 levels: authoritarian, moderate, and lenient).
You also left me quite curious when mentioning that I could be interested in whether parents respond differently to different personality styles of their children, in which case parenting style is the outcome.
What statistical test would I use then? Multinomial Logistic Regression?
Thank you again for your interest!
Nina
OK, here's a start. I don't quite understand your design, so I'm going
to talk in general terms. People often use mixed anova when they
should use ancova - if you have two measures of the same variable -
e.g. pre- and post- therapy depression, and you're interested in the
change in that depression associated with therapy, then ancova is
better.
A mixed design is the same as taking the difference and doing a
t-test, and the problem is that this mixed anova (or t-test on the
differences) assumes that the variables are correlated 1.00, if
they're correlated less, a mixed anova is less powerful than an
ancova.
If your 5 measures are the big five, you should definitely not do a
mixed anova - you don't care if people score higher on N than on E.
It sounds to me like your 5 outcomes are the big five, and your
predictor is parenting style (plus you should thrown in some other
covariates, like age and gender.) But what your outcome (outcome is a
better word than dependent, as it doesn't imply a causal relationship
which you haven't established) variable is depends on your hypothesis.
I can see that you might test whether parenting style affects
personality, in which case personality is the outcome. Or you might
test whether parents respond differently to different personality
styles of their children, in which case parenting style is the
outcome.
However, MAN(C)OVA is also overused by psychologists. You should use a
multivariate test if you're truly interested in multivariate effects,
you're not, you're interested in univariate effects, so I'd use 5
ancovas. (Or 5 regressions - it's the same thing).
Jeremy
On 19 March 2013 06:17, Nina Bay <[log in to unmask]> wrote:
> Hi guys,
>
> I am sure this is going to sound like a very silly question but I am running
> a mixed design ANOVA in SPSS, but I was told that I should probably be
> running a mixed design MANCOVA instead.
>
>
>
> I was told that the procedure was the same in SPSS, but that I should look
> at the Multivariate test table instead.
>
>
>
> I am using the big five inventory for personality with the 5 different
> personality treats, and my between-subjects variable is parenting style.
>
>
>
> I was told that personality should be my dependent variable… but I am really
> confused.
>
>
>
> Could anyone provide some guidance please?
>
>
>
> Many thanks,
>
>
>
> Nina