A) Select the number of factors with eigenvalues of 1.00 or higher.
B) Examine a scree plot of eigenvalues plotted against the factor numbers.
C) Disregard any communalities.
D) Analyse increasing numbers of factors; stop when all non-trivial variance is accounted for.
Correct Answer
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Multiple Choice
A) Retain any factor with an eigenvalue greater than 0.7.
B) Retain any factor with an eigenvalue greater than 1.
C) Retain factors before the point of inflexion on a scree plot.
D) Retain factors with communalities greater than 0.7.
Correct Answer
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Multiple Choice
A) Each factor against its eigenvalue.
B) The factor loadings of each variable onto each factor.
C) The correlations between variables.
D) The regression coefficient of each variable with each factor.
Correct Answer
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Multiple Choice
A) The weights of each factor.
B) The weights of each variable.
C) Correlations between each variable and each factor.
D) Correlations between all the variables.
Correct Answer
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Multiple Choice
A) Confirm the data are real.
B) Determine the number of factors/ constructs underlying a set of variables.
C) Reduce the data to a smaller number of variables.
D) Confirm the number of factors.
Correct Answer
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Multiple Choice
A) EFA identifies the factor structure or model for a set of variables.
B) EFA establishes the number of principal underlying factors in the data.
C) EFA identifies the pattern seen in the correlations of each variable to the factors.
D) EFA confirms the number of constructs identified in previous research.
Correct Answer
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Multiple Choice
A) Extraction
B) Rotation
C) Communalities
D) None of the above
Correct Answer
verified
Multiple Choice
A) At eigenvalue 2 on the Y-axis and 2 on the X-axis
B) Between eigenvalues 2 and 3 on the Y-axis and at 2 on the Y-axis
C) Between eigenvalues 3 and 4 on the Y-axis
D) Between eigenvalues 1 and 2 on the Y-axis
Correct Answer
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Multiple Choice
A) Eigenvalues plotted against associated factors
B) Eigenvalues plotted against relevant variables
C) Eigenvalues plotted against eigenvectors
D) None of the above
Correct Answer
verified
Multiple Choice
A) Eigenvalues plotted against associated factors
B) Eigenvalues plotted against relevant variables
C) Eigenvalues plotted against eigenvectors
D) None of the above
Correct Answer
verified
Multiple Choice
A) EFA identifies the factor structure or model for a set of variables.
B) EFA establishes the number of principal underlying factors in the data.
C) EFA identifies the pattern seen in the correlations of each variable to the factors.
D) EFA confirms the number of constructs identified in previous research.
Correct Answer
verified
Multiple Choice
A) Presence of relationships determined by the correlation matrix
B) Sphericity determined by a Bartlett test
C) Normal distribution in the variables determined by a Kolmogorov-Smirnov tests
D) Interaction between the variables determined by ANOVA
Correct Answer
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Multiple Choice
A) Varimax
B) Quartimax
C) Equamax
D) Promax
Correct Answer
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Multiple Choice
A) The sample size is sufficient, but there is multicollinearity in the data.
B) The sample size is inadequate, and there is multicollinearity in the data.
C) The sample size is adequate, and the correlations in the correlation matrix are significantly bigger than zero.
D) The sample size is adequate, but the correlations in the correlation matrix are not big enough.
Correct Answer
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Multiple Choice
A) Q12.
B) Q16.
C) Q21.
D) Q4.
Correct Answer
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Multiple Choice
A) Used to summarize data whilst retaining maximum variance.
B) Used to summarize data whilst retaining minimum variance.
C) Derive as few factors as possible.
D) Derive as many solutions as possible.
Correct Answer
verified
Multiple Choice
A) Each factor against its eigenvalue.
B) The factor loadings of each variable onto each factor.
C) The correlations between variables.
D) The regression coefficient of each variable with each factor.
Correct Answer
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Multiple Choice
A) Factors are expected to correlate.
B) Factors are non-orthogonal.
C) Factors are independent.
D) Kaiser's criterion is met.
Correct Answer
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Multiple Choice
A) 2.
B) 3.
C) 4.
D) 5.
Correct Answer
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Multiple Choice
A) Bartlett's test of sphericity
B) Rotation techniques
C) Identification of outliers
D) None of the above
Correct Answer
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