Question 1

Residuals are the differences between the observed correlations,as given in the input correlation matrix,and the reproduced correlations,as estimated from the factor matrix.

Accepted Answer

A) True 
 B)False

Question 2

It is recommended that the factors extracted should account for at least ________ of the variance.

Accepted Answer

A)  50 %
B)  60%
C)  65%
D)  70%E) A) and C)
F) A) and B)

Question 3

________ is the last step in factor analysis.

Accepted Answer

A)  Interpret the factors
B)  Determine the model fit
C)  Rotate the factors
D)  Determine the number of factorsE) A) and D)
F) A) and B)

Question 4

________ is an index that compares the magnitudes of the observed correlation coefficients to the magnitudes of the partial correlation coefficient.

Accepted Answer

A)  Mahalanobis ratio
B)  KMO measure of sampling adequacy
C)  Bartlett's test of sphericity
D)  Wilks' lambdaE) B) and C)
F) A) and D)

Question 5

Principal components analysis is appropriate when the primary concern is to identify the underlying dimensions and the common variance is of interest.

Accepted Answer

A) True 
 B)False

Question 6

Bartlett's test of sphericity is one test of the appropriateness of the factor model.

Accepted Answer

A) True 
 B)False

Question 7

Which method of analysis does not classify variables as dependent or independent?

Accepted Answer

A)  regression analysis
B)  discriminant analysis
C)  analysis of variance
D)  factor analysisE) A) and B)
F) A) and C)

Question 8

The differences between the observed correlations (as given in the input correlation matrix)and the reproduced correlations (as estimated from the factor matrix)can be examined to determine model fit.

Accepted Answer

A) True 
 B)False

Question 9

The amount of variance a variable shares with all other variables included in the factor analysis is referred to as ________.

Accepted Answer

A)  communality
B)  total variance
C)  shared variance
D)  percentage of varianceE) A) and C)
F) C) and D)

Question 10

Factor analysis examines the whole set of interdependent relationships among variables.

Accepted Answer

A) True 
 B)False

Exam 19: Factor Analysis

The amount of variance a variable shares with all other variables included in the factor analysis is referred to as ________.

Correct Answer
verified

Factor analysis examines the whole set of interdependent relationships among variables.

Correct Answer
verified

Principal components analysis is appropriate when the primary concern is to identify the underlying dimensions and the common variance is of interest.

Correct Answer
verified

Residuals are the differences between the observed correlations,as given in the input correlation matrix,and the reproduced correlations,as estimated from the factor matrix.

Correct Answer
verified

It is recommended that the factors extracted should account for at least ________ of the variance.

Correct Answer
verified

________ is the last step in factor analysis.

Correct Answer
verified

Bartlett's test of sphericity is one test of the appropriateness of the factor model.

Correct Answer
verified

The differences between the observed correlations (as given in the input correlation matrix)and the reproduced correlations (as estimated from the factor matrix)can be examined to determine model fit.

Correct Answer
verified

Which method of analysis does not classify variables as dependent or independent?

Correct Answer
verified

________ is an index that compares the magnitudes of the observed correlation coefficients to the magnitudes of the partial correlation coefficient.

Correct Answer
verified

Exam 19: Factor Analysis

The amount of variance a variable shares with all other variables included in the factor analysis is referred to as ________.

Correct AnswerverifiedShow Answer

Factor analysis examines the whole set of interdependent relationships among variables.

Correct AnswerverifiedShow Answer

Principal components analysis is appropriate when the primary concern is to identify the underlying dimensions and the common variance is of interest.

Correct AnswerverifiedShow Answer

Residuals are the differences between the observed correlations,as given in the input correlation matrix,and the reproduced correlations,as estimated from the factor matrix.

Correct AnswerverifiedShow Answer

It is recommended that the factors extracted should account for at least ________ of the variance.

Correct AnswerverifiedShow Answer

________ is the last step in factor analysis.

Correct AnswerverifiedShow Answer

Bartlett's test of sphericity is one test of the appropriateness of the factor model.

Correct AnswerverifiedShow Answer

The differences between the observed correlations (as given in the input correlation matrix)and the reproduced correlations (as estimated from the factor matrix)can be examined to determine model fit.

Correct AnswerverifiedShow Answer

Which method of analysis does not classify variables as dependent or independent?

Correct AnswerverifiedShow Answer

________ is an index that compares the magnitudes of the observed correlation coefficients to the magnitudes of the partial correlation coefficient.

Correct AnswerverifiedShow Answer

Correct Answer
verified

Correct Answer
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Correct Answer
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Correct Answer
verified

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verified

Correct Answer
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Correct Answer
verified

Correct Answer
verified