1
Q
Multivariate Analysis
A
- Statistical test that lookes at potential interrelationships in the data
- Specifically, for more than one dependent variable at once
- A new dependent variable is formed from a linear composite of the dependent variables
2
Q
If there are multivariate differences…
A
further analysis is justified
3
Q
If there are no multivariate difference…
A
analysis stops
4
Q
Why are multivariates useful?
A
- Useful to examine one than one dependent variable, especially if they are related!
- Thus we can look at how an individual varies on all of the parameters concurrently!
- Helps decrease type 1 error/familywise error
- More powerful (more likely to see difference) than ANOVA
5
Q
How many subjects do you need per variable for multivariate analysis?
A
At least 10 per
6
Q
Multivariate Analysis must be ____ of each test
A
- independent
- Ex: Torque and Force are related. Can’t compare them
7
Q
Most often used thing we read on SPSS to know if significance is there?
A
- Wilk’s Lambda
- Is like the F or T value
- If this is significant run a post-hoc!
8
Q
Assumptions for Multivariate
A
- Use common sense if it should be used
- Better to use when relationships among dependent variables are r=0.3-0.7
9
Q
Multivariate cautions
A
- Ratio of subjects to dependent variables should be greater than 3:1 (Close 1:1 severly limits power)
- Outliers severly affect MANOVA findings
- Easy to violate assumptions (Homogenity of variance)
