Because a MANOVA works on the basis of using several values to assess statistical significance it achieves this by converting dependent variables (e.g. trait and state anxiety) into underlying dimensions (i.e. discriminant function) . What are the linear combinations of the dependent variables known as? (You may select more than one option.)
A) Variates
B) Factors
C) Eigenvectors
D) Vectors
Correct Answer:
Verified
Q9: Why might you wish to avoid using
Q10: If multiple ANOVAs are used to follow
Q11: How many levels are there to the
Q12: Examine the data below on state and
Q13: How many independent variables are there?
A) 1
B)
Q15: What can be ascertained from the following
Q16: What does the result from Q20 tell
Q17: Analyse the anxiety data in elite, sub-elite
Q18: Which of the following is the most
Q19: If test assumptions are violated, which non-parametric
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