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

A) True
B) False

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

A) True
B) False

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

A) True
B) False

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

A) True
B) False

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

A) True
B) False

Correct Answer

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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.

A) True
B) False

Correct Answer

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Discriminant analysis is not sensitive to sample size.

A) True
B) False

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


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.

E) All of the above
F) C) and D)

Correct Answer

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Discriminant functions are:


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.

E) B) and C)
F) A) and B)

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

A) True
B) False

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