Deck 7: Discriminant Analysis
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Deck 7: Discriminant Analysis
1
Which of the following would NOT be an appropriate outcome to examine with discriminant analysis?
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
D
Explanation: Only categorical (not continuous) variables are appropriate for discriminant analysis.
Explanation: Only categorical (not continuous) variables are appropriate for discriminant analysis.
2
Which of the following would NOT be an appropriate outcome to examine with discriminant analysis?
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
Explanation: Since continuous variables are not appropriate to use for dependent variables in discriminant analysis, cumulative GPA would not be an appropriate outcome.
Explanation: Since continuous variables are not appropriate to use for dependent variables in discriminant analysis, cumulative GPA would not be an appropriate outcome.
3
Computationally, discriminant analysis is more similar to which one of the following?
A) MANOVA
B) propensity score analysis
C) regression
D) structural equation modeling
A) MANOVA
B) propensity score analysis
C) regression
D) structural equation modeling
A
Explanation: Discriminant analysis is MANOVA backwards.
Explanation: Discriminant analysis is MANOVA backwards.
4
The goal of discriminant analysis in determining the dimensions along which groups differ is which one of the following?
A) classification
B) correlation
C) discrimination
D) matching
A) classification
B) correlation
C) discrimination
D) matching
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5
An independent variable with which one of the following standardized regression coefficients has the strongest contributors to the discriminant function scores?
A) −2.5
B) 0
C) 0.5
D) 2
A) −2.5
B) 0
C) 0.5
D) 2
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6
The goal of discriminant analysis in predicting or identifying group membership from a set of predictors is which one of the following?
A) classification
B) correlation
C) discrimination
D) matching
A) classification
B) correlation
C) discrimination
D) matching
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7
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?
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
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8
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) 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
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9
The relationship between the groups of the dependent variable and the discriminant function is measured by which one of the following?
A) canonical correlations
B) group centroid
C) eigenvalue
D) sensitivity
A) canonical correlations
B) group centroid
C) eigenvalue
D) sensitivity
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10
The most typical position in discriminant function space is measured by which one of the following?
A) canonical correlations
B) group centroid
C) eigenvalue
D) sensitivity
A) canonical correlations
B) group centroid
C) eigenvalue
D) sensitivity
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