Question 1

Which of the following would NOT be an appropriate outcome to examine with discriminant analysis?

Accepted Answer

A)  course outcome (pass, fail) 
B)  cumulative grade point average 
C)  political affiliation (Republican, Democrat, Independent) 
D)  tenure status (tenured or untenured) 
A)  course outcome (pass, fail) 
B)  cumulative grade point average 
C)  political affiliation (Republican, Democrat, Independent) 
D)  tenure status (tenured or untenured) B

Question 2

A researcher is computing discriminant analysis. The dependent variable has 4 groups and there are 2 independent variables. What is the maximum number of discriminant functions that can be generated given this model?

Accepted Answer

A)  1 
B)  2 
C)  3 
D)  4 
E)  cannot be determined by this information 
A)  1 
B)  2 
C)  3 
D)  4 
E)  cannot be determined by this information B

Question 3

A researcher is computing discriminant analysis. The dependent variable has 3 groups and there are 4 independent variables. What is the maximum number of discriminant functions that can be generated given this model?

Accepted Answer

A)  1 
B)  2 
C)  3 
D)  4 
E)  cannot be determined by this information 
A)  1 
B)  2 
C)  3 
D)  4 
E)  cannot be determined by this information C

Question 4

The most typical position in discriminant function space is measured by which one of the following?

Accepted Answer

A)  canonical correlations 
B)  group centroid 
C)  eigenvalue 
D)  sensitivity 
A)  canonical correlations 
B)  group centroid 
C)  eigenvalue 
D)  sensitivity

Question 5

The relationship between the groups of the dependent variable and the discriminant function is measured by which one of the following?

Accepted Answer

A)  canonical correlations 
B)  group centroid 
C)  eigenvalue 
D)  sensitivity 
A)  canonical correlations 
B)  group centroid 
C)  eigenvalue 
D)  sensitivity

Question 6

The goal of discriminant analysis in predicting or identifying group membership from a set of predictors is which one of the following?

Accepted Answer

A)  classification 
B)  correlation 
C)  discrimination 
D)  matching 
A)  classification 
B)  correlation 
C)  discrimination 
D)  matching

Question 7

The goal of discriminant analysis in determining the dimensions along which groups differ is which one of the following?

Accepted Answer

A)  classification 
B)  correlation 
C)  discrimination 
D)  matching 
A)  classification 
B)  correlation 
C)  discrimination 
D)  matching

Question 8

An independent variable with which one of the following standardized regression coefficients has the strongest contributors to the discriminant function scores?

Accepted Answer

A)  −2.5 
B)  0 
C)  0.5 
D)  2 
A)  −2.5 
B)  0 
C)  0.5 
D)  2

Question 9

Computationally, discriminant analysis is more similar to which one of the following?

Accepted Answer

A)  MANOVA 
B)  propensity score analysis 
C)  regression 
D)  structural equation modeling 
A)  MANOVA 
B)  propensity score analysis 
C)  regression 
D)  structural equation modeling

Question 10

Which of the following would NOT be an appropriate outcome to examine with discriminant analysis?

Accepted Answer

A)  homeownership (own, rent) 
B)  location of exercise (inside, outside) 
C)  preferred art (performing art, studio art) 
D)  number of business trips taken in the last year 
A)  homeownership (own, rent) 
B)  location of exercise (inside, outside) 
C)  preferred art (performing art, studio art) 
D)  number of business trips taken in the last year

Which of the following would NOT be an appropriate outcome to examine with discriminant analysis?

A researcher is computing discriminant analysis. The dependent variable has 4 groups and there are 2 independent variables. What is the maximum number of discriminant functions that can be generated given this model?

A researcher is computing discriminant analysis. The dependent variable has 3 groups and there are 4 independent variables. What is the maximum number of discriminant functions that can be generated given this model?

The most typical position in discriminant function space is measured by which one of the following?

The relationship between the groups of the dependent variable and the discriminant function is measured by which one of the following?

The goal of discriminant analysis in predicting or identifying group membership from a set of predictors is which one of the following?

The goal of discriminant analysis in determining the dimensions along which groups differ is which one of the following?

An independent variable with which one of the following standardized regression coefficients has the strongest contributors to the discriminant function scores?

Computationally, discriminant analysis is more similar to which one of the following?

Which of the following would NOT be an appropriate outcome to examine with discriminant analysis?

Multivariate Statistics

Univariate and Bivariate Statistics Review

Data Screening

Multiple Linear Regression

Logistic Regression

Multivariate Analysis of Variance: Single Factor, Factorial, and Repeated Measures Designs

Cluster Analysis

Exploratory Factor Analysis

Path Analysis, Confirmatory Factor Analysis, and Structural Equation Modeling

Multilevel Linear Modeling

Propensity Score Analysis

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Exam 7: Discriminant Analysis

Which of the following would NOT be an appropriate outcome to examine with discriminant analysis?

A researcher is computing discriminant analysis. The dependent variable has 4 groups and there are 2 independent variables. What is the maximum number of discriminant functions that can be generated given this model?

A researcher is computing discriminant analysis. The dependent variable has 3 groups and there are 4 independent variables. What is the maximum number of discriminant functions that can be generated given this model?

The most typical position in discriminant function space is measured by which one of the following?

The relationship between the groups of the dependent variable and the discriminant function is measured by which one of the following?

The goal of discriminant analysis in predicting or identifying group membership from a set of predictors is which one of the following?

The goal of discriminant analysis in determining the dimensions along which groups differ is which one of the following?

An independent variable with which one of the following standardized regression coefficients has the strongest contributors to the discriminant function scores?

Computationally, discriminant analysis is more similar to which one of the following?

Which of the following would NOT be an appropriate outcome to examine with discriminant analysis?

Multivariate Statistics

Univariate and Bivariate Statistics Review

Data Screening

Multiple Linear Regression

Logistic Regression

Multivariate Analysis of Variance: Single Factor, Factorial, and Repeated Measures Designs

Cluster Analysis

Exploratory Factor Analysis

Path Analysis, Confirmatory Factor Analysis, and Structural Equation Modeling

Multilevel Linear Modeling

Propensity Score Analysis

Filters