Posted by
Art Kendall on
Jun 08, 2009; 3:15pm
URL: http://spssx-discussion.165.s1.nabble.com/Paired-test-for-3-variables-tp1089169p1089176.html
if "liking" for A, B, and C are measured on the same response scale,
then this would be a kind of repeated measure where the levels are A,
B, and C.
If "liking" is not the same construct with regard to the 3 stimulus
conditions, then comparing means would not make sense.
Art Kendall
Social Research Consultants
Hugh Sandoz wrote:
Hi,
I've conducted a research in which each sample/respondent is tested for 3
attributes (how much he/she likes A, B and C). A, B and C are not repeated
measurements of the same thing, but measurements of different things from
the same person. I need to compare the means of A, B and C, and see which is
larger/smaller than which (basically multiple pairwise comparisons).
Because the responses are matched by respondents, should I first test for
independence of A, B and C before deciding if I should use ANOVA
(independent variables) or something like a paired t-test (but for 3
variables)? Or should I assume that they are dependent and directly go for
the latter?
And how would I do a test for 3 dependent/matched variables? If I'm not
wrong, repeated-measures one-way ANOVA only works for repeated measures of
the same thing. Should I use multivariate analysis of variance (MANOVA)?
I've tried running MANOVA on SPSS with 3 dependent variables and no fixed
factors - it's given me significant results for Pillai's Trace, Wilk's
Lambda, Hotelling's Trace and Roy's Largest Root. However, I have no idea
what these results mean despite looking up the SPSS manual, nor do I know
which mean is bigger than which. As far as I can tell, no pairwise
comparisons have been conducted. Can anyone please advise?
Thanks in advance.
--
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Art Kendall
Social Research Consultants