Discovering Statistics Using IBM SPSS Statistics

Which of the following statements about MANOVA is correct? 

Answer choices

1. MANOVA is appropriate for data that have one or more dependent variables and more than two independent variables.
2. MANOVA is appropriate for data with two or more dependent variables and one or more independent variables.
3. MANOVA is appropriate for data with two or more dependent variables and only one independent variable.
4. MANOVA is appropriate for data with only one dependent variable and more than three independent variables.

The power of MANOVA to detect an effect depends on: 

Answer choices

1. A combination of the correlation between dependent variables and the effect size to be detected.
2. A combination of the correlation between independent variables and the effect size to be detected.
3. A combination of the correlation between independent and dependent variables.
4. None of these

What would you use Box’s test for?

Answer choices

1. To test for multivariate normality.
2. To test for independence of residuals
3. To test for homogeneity of variance
4. To test the assumption of homogeneity of covariance matrices.

If your MANOVA is statistically significant:

Answer choices

1. You could conduct separate Bonferroni corrected ANOVAs on each dependent variable.
2. There is no added value in performing discriminant function analysis.
3. You could conclude that all groups differ significantly.
4. None of these are correct.

A square matrix in which the diagonal elements are equal to 1 and the off-diagonal elements are equal to 0 is known as:

Answer choices

1. A variance–covariance matrix
2. A column vector
3. An identity matrix
4. The error sum of squares and cross-products matrix (or error SSCP)