Using more than one DV when comparing treatments or groups based on differing characteristics is good because any worthwhile treatment or substantial characteristic will always affect participants in more than one way.
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Q1: Multivariate analysis of variance (MANOVA) is designed
Q2: At a minimum, the DVs should have
Q4: MANOVA tests whether mean differences among k
Q5: The new DV formed in MANOVA is,
Q6: The new DV formed in MANOVA is
Q7: A factorial MANOVA is a design that
Q8: One advantage of using MANOVA, as opposed
Q9: A second advantage of using MANOVA is
Q10: A third advantage of using MANOVA is
Q11: MANOVA incorporates the interconnections of DVs into
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