Have you looked into RM MANOVA for this? This will deal with both your correlated responses and the coorelation within subjects for repeated measurements.
P
Hello everyone,
To analyze the results of an experience for my master's thesis (at the crossroads between business and social sciences), I believe I need a repeated-measures GLM design. Basically, I want to test that "x [y, z] when A is consistent with B is significantly different from x [y, z] when A is inconsistent with B", so I measured subjects' reactions twice (to both situations).
The problem is, x, y and z are, in each case, very strongly correlated. I used a MANOVA to analyze the same variables in another experiment. Is there any way I could/should take this into account, or is it ok to just do the repeated-measures ANOVA three times? The issue doesn't seem to be addressed in the books I normally use. I am in SPSS.
Thanks a lot in advance!
Have you looked into RM MANOVA for this? This will deal with both your correlated responses and the coorelation within subjects for repeated measurements.
P
The earth is round: P<0.05
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