Question 1

An important consideration when assessing a classification procedure is the cost of classification.

Accepted Answer

A) True 
 B)False

Question 2

If the discriminant analysis is being used for purposes of prediction or classification, the goal of the interpretation of discriminant functions is to determine dimensions that serve as the basis for reliably classifying participants into groups.

Accepted Answer

A) True 
 B)False

Question 3

Descriptive discriminant analysis refers to the process of classifying participants into groups based on a combination of measures.

Accepted Answer

A) True 
 B)False

Question 4

In discriminant analysis, the IVs serve as the grouping variables and the DVs are the predictors.

Accepted Answer

A) True 
 B)False

Question 5

If the goal of analysis is prediction, the researcher would determine the number of dimensions that maximize the differences among the groups in question.

Accepted Answer

A) True 
 B)False

Question 6

The final step in the interpretation of discriminant analysis results is to:

Accepted Answer

A)  Determine the extent to which group differences support the functions generated by reviewing group variance for each function as presented in the table of Functions at Group centroids. 
B)  Determine the extent to which group differences support the functions generated by reviewing group means for each function as presented in the table of Functions at Group centroids. 
C)  Determine the extent to which groups support the functions generated by reviewing group means for each function as presented in the table of Functions at Group centroids. 
D)  Determine the extent to which groups support the functions generated by reviewing group variance for each function as presented in the table of Functions at Group centroids. 
A)  Determine the extent to which group differences support the functions generated by reviewing group variance for each function as presented in the table of Functions at Group centroids. 
B)  Determine the extent to which group differences support the functions generated by reviewing group means for each function as presented in the table of Functions at Group centroids. 
C)  Determine the extent to which groups support the functions generated by reviewing group means for each function as presented in the table of Functions at Group centroids. 
D)  Determine the extent to which groups support the functions generated by reviewing group variance for each function as presented in the table of Functions at Group centroids.

Question 7

Standardized coefficients are used to assess the relative contributions of individual variables to the discriminant function(s).

Accepted Answer

A) True 
 B)False

Question 8

There exists no test of the normality of all linear combinations of sampling distributions of means of predictor variables in discriminant analysis.

Accepted Answer

A) True 
 B)False

Question 9

Discriminant functions are:

Accepted Answer

A)  Linear combinations of the original (predictor) variables that maximize the between-to-within association, as measured by the sum-of-squares and cross-products (SSCP) matrices. 
B)  Uncorrelated linear combinations of the original (predictor) variables that maximize the between-to-within association, as measured by the sum-of-squares and cross-products (SSCP) matrices. 
C)  Correlated linear combinations of the original (predictor) variables that maximize the between-to-within association, as measured by the sum-of-squares and cross-products (SSCP) matrices. 
D)  Uncorrelated linear combinations of the original dependent variables that maximize the between-to-within association, as measured by the sum-of-squares and cross-products (SSCP) matrices. 
A)  Linear combinations of the original (predictor) variables that maximize the between-to-within association, as measured by the sum-of-squares and cross-products (SSCP) matrices. 
B)  Uncorrelated linear combinations of the original (predictor) variables that maximize the between-to-within association, as measured by the sum-of-squares and cross-products (SSCP) matrices. 
C)  Correlated linear combinations of the original (predictor) variables that maximize the between-to-within association, as measured by the sum-of-squares and cross-products (SSCP) matrices. 
D)  Uncorrelated linear combinations of the original dependent variables that maximize the between-to-within association, as measured by the sum-of-squares and cross-products (SSCP) matrices.

Question 10

Discriminant analysis is not sensitive to sample size.

Accepted Answer

A) True 
 B)False

An important consideration when assessing a classification procedure is the cost of classification.

If the discriminant analysis is being used for purposes of prediction or classification, the goal of the interpretation of discriminant functions is to determine dimensions that serve as the basis for reliably classifying participants into groups.

Descriptive discriminant analysis refers to the process of classifying participants into groups based on a combination of measures.

In discriminant analysis, the IVs serve as the grouping variables and the DVs are the predictors.

If the goal of analysis is prediction, the researcher would determine the number of dimensions that maximize the differences among the groups in question.

The final step in the interpretation of discriminant analysis results is to:

Standardized coefficients are used to assess the relative contributions of individual variables to the discriminant function(s).

There exists no test of the normality of all linear combinations of sampling distributions of means of predictor variables in discriminant analysis.

Discriminant functions are:

Discriminant analysis is not sensitive to sample size.

Introduction to Multivariate Statistics

A Guide to Multivariate Techniques

Pre-Analysis Data Screening

Factorial Analysis of Variance

Analysis of Covariance

Multivariate Analysis of Variance and Covariance

Multiple Regression

Path Analysis

Factor Analysis

Logistic Regression

Filters

Exam 10: Discriminant Analysis

An important consideration when assessing a classification procedure is the cost of classification.

If the discriminant analysis is being used for purposes of prediction or classification, the goal of the interpretation of discriminant functions is to determine dimensions that serve as the basis for reliably classifying participants into groups.

Descriptive discriminant analysis refers to the process of classifying participants into groups based on a combination of measures.

In discriminant analysis, the IVs serve as the grouping variables and the DVs are the predictors.

If the goal of analysis is prediction, the researcher would determine the number of dimensions that maximize the differences among the groups in question.

The final step in the interpretation of discriminant analysis results is to:

Standardized coefficients are used to assess the relative contributions of individual variables to the discriminant function(s).

There exists no test of the normality of all linear combinations of sampling distributions of means of predictor variables in discriminant analysis.

Discriminant functions are:

Discriminant analysis is not sensitive to sample size.

Introduction to Multivariate Statistics

A Guide to Multivariate Techniques

Pre-Analysis Data Screening

Factorial Analysis of Variance

Analysis of Covariance

Multivariate Analysis of Variance and Covariance

Multiple Regression

Path Analysis

Factor Analysis

Logistic Regression

Filters