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) Varimax
B) Kaiser's
C) Promax
D) None of the above
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) Factors are expected to correlate.
B) Factors are orthogonal.
C) Factors are independent.
D) Kaiser's criterion is met.
Correct Answer
verified
Multiple Choice
A) Confirmatory factor analysis
B) Principal axis factoring
C) Hypothesis factoring
D) Image factoring
Correct Answer
verified
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
verified
Multiple Choice
A) Confirmatory factor analysis
B) Principal axis factoring
C) Hypothesis factoring
D) Image factoring
Correct Answer
verified
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) Extraction
B) Rotation
C) Communalities
D) None of the above
Correct Answer
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Multiple Choice
A) Large sample size (> 150)
B) Small sample size (< 50)
C) Linearity
D) Factorability of correlation matrix
Correct Answer
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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) 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) 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
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Multiple Choice
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) Significance of factors
B) Functionality
C) Reliability
D) Significance of variables
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) Turning the matrix on one side.
B) Simplifying the loadings.
C) Interpretation of the factors.
D) Interpretation of the graph.
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
verified
Multiple Choice
A) Varimax
B) Kaiser's
C) Promax
D) None of the above
Correct Answer
verified
Multiple Choice
A) Turning the matrix on one side.
B) Simplifying the loadings.
C) Interpretation of the factors.
D) Interpretation of the graph.
Correct Answer
verified
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