Mike Hewitt ([EMAIL PROTECTED]) wrote:
: I am looking for assistance in interpreting results of a study. It
: involved the testing of three different music practicing conditions. I
: performed a GLM-repeated measures with three factors (modeling,
: self-listening, self-evaluation) in addition to a repeated measure
: (test). There was a significant interaction for test x modeling x
: self-evaluation. There was also a significant result for test x
: modeling. Does the higher-order interaction negate the results the
: "main effects" or lower-order interaction?
:
: Specifically, musicians who listened to "model" performance improved
: their performance more than those that did not listen to a model.
: Great. For the interaction (test x modeling x self-evaluation), the
: modeling/self-evaluation group improved more than did the no
: modeling/self-evaluation group (reinforcing the results for modeling
: only). HOWEVER, the same result did not occur for the groups that did
: not self-evaluate. They improved similarly to each other.
: So...listening to a model is more effective than not listening to one
: when there is no-self-evaluation.
:
: What then does this mean as far as the results for the test x modeling
: result? I guess my question is does a higher-level interaction
: "overrule" a lower-level interaction?
It depends on how you define "overrule." I'd say that your results
indicate that there is indeed an interaction between test and modelling,
but the amount of the interaction varies with self-evaluation. IOW,
you've demonstrated that the test/modelling interaction *exists*, but any
*estimate* of it is going to be poor because it will amount to an average
of the results of two or more incomparable scenarios (i.e. it need not be
close to the value of *any* observed two-way interaction for any given
level of self-evaluation).
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