Score for this attempt: 12.5 out of 12.5
Question 1
0..5 pts
Which of the following is not an assumption of MANOVA?
Independence
Correct!
Sphericity
Random sampling
Multivariate normality
Question 2
0..5 pts
When following up a significant MANOVA, what is the advantage of conducting
discriminant function analysis over separate ANOVAs?
Correct!
Discriminant function analysis is true to the ethos of MANOVA.
The overall multivariate test protects against inflated Type I error rates.
Discriminant function analysis keeps the effects of each outcome variable independent.
Discriminant function analysis looks at the outcome variables as independent entities,
not as a linear combination.
,Question 3
0..5 pts
When you have several outcome variables, what advantage does conducting a
MANOVA have over conducting several ANOVAs?
Conducting several ANOVAs would increase the Type II error rate.
Correct!
Conducting several ANOVAs would increase the Type I error rate.
MANOVA does not assume homogeneity of variances.
MANOVA doesn't rely on assumptions.
Question 4
0..5 pts
The matrix is:
Correct!
A 2 x 4 matrix
A 4 x 2 matrix
An identity matrix
A square matrix
, Question 5
0..5 pts
In MANOVA, it can be a good idea to:
Include as many dependent variables in the analysis as possible.
Include the same number of dependent variables as independent variables to achieve a
well-balanced design.
Correct!
Run one analysis for variables being tested on a heuristic basis and a separate analysis
for any theoretically meaningful variables.
Never include variables that are known to be theoretically meaningful.
Question 6
0..5 pts
Which of the following statements is false with regard to Box's test?
In large samples Box's test could be significant even when covariance matrices are
relatively similar.
Correct!
The more dependent variables you have measured and the greater the differences in
sample sizes, the less distorted the probability values become.
Box's test is susceptible to deviations from multivariate normality.
As a general rule, if sample sizes are equal then people tend to disregard Box's test
because it is unstable.
Question 1
0..5 pts
Which of the following is not an assumption of MANOVA?
Independence
Correct!
Sphericity
Random sampling
Multivariate normality
Question 2
0..5 pts
When following up a significant MANOVA, what is the advantage of conducting
discriminant function analysis over separate ANOVAs?
Correct!
Discriminant function analysis is true to the ethos of MANOVA.
The overall multivariate test protects against inflated Type I error rates.
Discriminant function analysis keeps the effects of each outcome variable independent.
Discriminant function analysis looks at the outcome variables as independent entities,
not as a linear combination.
,Question 3
0..5 pts
When you have several outcome variables, what advantage does conducting a
MANOVA have over conducting several ANOVAs?
Conducting several ANOVAs would increase the Type II error rate.
Correct!
Conducting several ANOVAs would increase the Type I error rate.
MANOVA does not assume homogeneity of variances.
MANOVA doesn't rely on assumptions.
Question 4
0..5 pts
The matrix is:
Correct!
A 2 x 4 matrix
A 4 x 2 matrix
An identity matrix
A square matrix
, Question 5
0..5 pts
In MANOVA, it can be a good idea to:
Include as many dependent variables in the analysis as possible.
Include the same number of dependent variables as independent variables to achieve a
well-balanced design.
Correct!
Run one analysis for variables being tested on a heuristic basis and a separate analysis
for any theoretically meaningful variables.
Never include variables that are known to be theoretically meaningful.
Question 6
0..5 pts
Which of the following statements is false with regard to Box's test?
In large samples Box's test could be significant even when covariance matrices are
relatively similar.
Correct!
The more dependent variables you have measured and the greater the differences in
sample sizes, the less distorted the probability values become.
Box's test is susceptible to deviations from multivariate normality.
As a general rule, if sample sizes are equal then people tend to disregard Box's test
because it is unstable.
