Question 1

Another assumption is that the distribution of scores on the independent variables must have equal variances.

Accepted Answer

A) True 
 B)False

Question 2

ANCOVA assumptions also require that the regression slopes for a covariate are homogeneous.

Accepted Answer

A) True 
 B)False

Question 3

An additional assumption of ANCOVA is that a linear relationship exists between the DVs and the covariate(s).

Accepted Answer

A) True 
 B)False

Question 4

The assumption of linearity is more precisely tested by obtaining and examining residual plots between the covariates and the IVs.

Accepted Answer

A) True 
 B)False

Question 5

The null hypothesis being tested with the assumption of homogeneity of regression slopes is that all regression slopes are equal.

Accepted Answer

A) True 
 B)False

Question 6

Ideally, if quantitative variables are being used as covariates in ANCOVA, one should choose those variables that:

Accepted Answer

A)  Are significantly correlated with the DV. 
B)  Have low correlations among themselves. 
C)  Have high correlations among themselves. 
D)  (a) and (b) are correct. 
A)  Are significantly correlated with the DV. 
B)  Have low correlations among themselves. 
C)  Have high correlations among themselves. 
D)  (a) and (b) are correct.

Question 7

The sixth assumption for ANCOVA is that the covariate is reliable and is measured without error.

Accepted Answer

A) True 
 B)False

Question 8

The assumption of homogeneity of variances is best tested through the use of Levine's test.

Accepted Answer

A) True 
 B)False

Question 9

Eta squared in ANCOVA is interpreted as:

Accepted Answer

A)  The proportion of variance in the DV explained by the IV(s) in the sample. 
B)  The proportion of variance in the covariate explained by the IV(s) in the sample. 
C)  The proportion of variance in the IV(s) in the sample after partialing out the effects of the covariate(s). 
D)  None of the above. 
A)  The proportion of variance in the DV explained by the IV(s) in the sample. 
B)  The proportion of variance in the covariate explained by the IV(s) in the sample. 
C)  The proportion of variance in the IV(s) in the sample after partialing out the effects of the covariate(s). 
D)  None of the above.

Question 10

The first major purpose for the use of ANCOVA is to increase the sensitivity of the F tests of main effects and interactions by reducing the error variance, primarily in experimental studies.

Accepted Answer

A) True 
 B)False

Another assumption is that the distribution of scores on the independent variables must have equal variances.

ANCOVA assumptions also require that the regression slopes for a covariate are homogeneous.

An additional assumption of ANCOVA is that a linear relationship exists between the DVs and the covariate(s).

The assumption of linearity is more precisely tested by obtaining and examining residual plots between the covariates and the IVs.

The null hypothesis being tested with the assumption of homogeneity of regression slopes is that all regression slopes are equal.

Ideally, if quantitative variables are being used as covariates in ANCOVA, one should choose those variables that:

The sixth assumption for ANCOVA is that the covariate is reliable and is measured without error.

The assumption of homogeneity of variances is best tested through the use of Levine's test.

Eta squared in ANCOVA is interpreted as:

The first major purpose for the use of ANCOVA is to increase the sensitivity of the F tests of main effects and interactions by reducing the error variance, primarily in experimental studies.

Introduction to Multivariate Statistics

A Guide to Multivariate Techniques

Pre-Analysis Data Screening

Factorial Analysis of Variance

Multivariate Analysis of Variance and Covariance

Multiple Regression

Path Analysis

Factor Analysis

Discriminant Analysis

Logistic Regression

Filters

Exam 5: Analysis of Covariance

Another assumption is that the distribution of scores on the independent variables must have equal variances.

ANCOVA assumptions also require that the regression slopes for a covariate are homogeneous.

An additional assumption of ANCOVA is that a linear relationship exists between the DVs and the covariate(s).

The assumption of linearity is more precisely tested by obtaining and examining residual plots between the covariates and the IVs.

The null hypothesis being tested with the assumption of homogeneity of regression slopes is that all regression slopes are equal.

Ideally, if quantitative variables are being used as covariates in ANCOVA, one should choose those variables that:

The sixth assumption for ANCOVA is that the covariate is reliable and is measured without error.

The assumption of homogeneity of variances is best tested through the use of Levine's test.

Eta squared in ANCOVA is interpreted as:

The first major purpose for the use of ANCOVA is to increase the sensitivity of the F tests of main effects and interactions by reducing the error variance, primarily in experimental studies.

Introduction to Multivariate Statistics

A Guide to Multivariate Techniques

Pre-Analysis Data Screening

Factorial Analysis of Variance

Multivariate Analysis of Variance and Covariance

Multiple Regression

Path Analysis

Factor Analysis

Discriminant Analysis

Logistic Regression

Filters