Deck 18: Exploratory Factor Analysis
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Deck 18: Exploratory Factor Analysis
1
Which of the following must a business researcher ensure is met before interpreting factors?
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
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
A
2
Factor loadings are?
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
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
C
3
Which of the following would you not do or use when deciding how many factors to retain from an exploratory factor analysis?
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 high communalities.
D)Analyse increasing numbers of factors,and stop when all non-trivial variance is accounted for.
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 high communalities.
D)Analyse increasing numbers of factors,and stop when all non-trivial variance is accounted for.
C
4
The scree plot,such as the one used in Q1,represents a plot of?
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.
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.
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5
When interpreting Cronbach's alpha in business research,a value above ____ generally indicates a reliable scale?
A)0.7
B)0.5
C)0.1
D)0.01
A)0.7
B)0.5
C)0.1
D)0.01
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6
Some debate over rotation methods has caused confusion amongst analysts working for the grocery retailer.You have been asked to explain that varimax rotation should be used when?
A)Factors are expected to correlate.
B)Factors are non-orthogonal.
C)Factors are independent.
D)Kaiser's criterion is met
A)Factors are expected to correlate.
B)Factors are non-orthogonal.
C)Factors are independent.
D)Kaiser's criterion is met
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7
Based on the following output,which item of the questionnaire would improve the reliability of the scale most if it was removed? R E L I A B I L I T Y A N A L Y S I S - S C A L E (A L P H A)
Item-total Statistics
Scale Scale Corrected
Mean Variance Item- Alpha
If Item if Item Total if Item
Deleted Deleted Correlation Deleted
Q1 54.1282 166.2200 .5505 .9082
Q2 54.5641 165.0418 .4917 .9092
Q3 56.0256 159.4467 .5719 .9072
Q4 54.6667 158.5439 .6972 .9039
Q5 55.0769 159.9676 .6225 .9058
Q6 54.9744 158.3414 .6422 .9052
Q7 54.6667 160.1228 .6374 .9055
Q8 54.5385 159.9393 .6314 .9056
Q9 55.1538 152.5020 .6596 .9048
Q10 55.6154 160.0850 .5321 .9084
Q12 56.0256 170.8151 .2423 .9156
Q14 54.3846 164.1377 .5508 .9078
Q16 54.9487 163.4710 .4447 .9108
Q17 55.0769 155.3887 .6760 .9041
Q18 55.5897 157.1430 .6421 .9051
Q19 56.0513 165.3131 .5756 .9076
Q20 55.0769 163.0729 .4870 .9095
Q21 55.1026 152.9892 .7586 .9015
Reliability Coefficients
N of Cases = 39.0 N of Items = 18
Alpha = .9118
A)Q12
B)Q16
C)Q21
D)Q4
Item-total Statistics
Scale Scale Corrected
Mean Variance Item- Alpha
If Item if Item Total if Item
Deleted Deleted Correlation Deleted
Q1 54.1282 166.2200 .5505 .9082
Q2 54.5641 165.0418 .4917 .9092
Q3 56.0256 159.4467 .5719 .9072
Q4 54.6667 158.5439 .6972 .9039
Q5 55.0769 159.9676 .6225 .9058
Q6 54.9744 158.3414 .6422 .9052
Q7 54.6667 160.1228 .6374 .9055
Q8 54.5385 159.9393 .6314 .9056
Q9 55.1538 152.5020 .6596 .9048
Q10 55.6154 160.0850 .5321 .9084
Q12 56.0256 170.8151 .2423 .9156
Q14 54.3846 164.1377 .5508 .9078
Q16 54.9487 163.4710 .4447 .9108
Q17 55.0769 155.3887 .6760 .9041
Q18 55.5897 157.1430 .6421 .9051
Q19 56.0513 165.3131 .5756 .9076
Q20 55.0769 163.0729 .4870 .9095
Q21 55.1026 152.9892 .7586 .9015
Reliability Coefficients
N of Cases = 39.0 N of Items = 18
Alpha = .9118
A)Q12
B)Q16
C)Q21
D)Q4
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8
Most researchers use exploratory factor analysis to?
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.
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.
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9
A sports manufacturer performs a customer satisfaction survey,and would like to reduce the scale items into a smaller number of factors.What does the following output suggest? 
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.

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.
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10
A consultant has asked you to distinguish between factor analysis and principal component analysis.What is the latter most commonly used for?
A)To summarize data whilst retaining maximum variance.
B)To summarize data whilst retaining minimum variance.
C)To derive as few factors as possible.
D)To derive as many solutions as possible.
A)To summarize data whilst retaining maximum variance.
B)To summarize data whilst retaining minimum variance.
C)To derive as few factors as possible.
D)To derive as many solutions as possible.
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11
Which of these is a form of oblique rotation?
A)Varimax
B)Quartimax
C)Equamax
D)Promax
A)Varimax
B)Quartimax
C)Equamax
D)Promax
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12
Similarly,oblique rotation should be used when?
A)Factors are expected to correlate.
B)Factors are non-orthogonal.
C)Factors are independent.
D)Kaiser's criterion is met
A)Factors are expected to correlate.
B)Factors are non-orthogonal.
C)Factors are independent.
D)Kaiser's criterion is met
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13
Rotation means?
A)Turning the matrix on one side
B)Simplifying the loadings
C)Simplifying the interpretation of factors
D)Provision of a graph
A)Turning the matrix on one side
B)Simplifying the loadings
C)Simplifying the interpretation of factors
D)Provision of a graph
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14
Nine items from a scale of grocery store service quality were assessed by exploratory factor analysis.Based on this scree plot,how many factors should be extracted? 
A)2
B)3
C)4
D)5

A)2
B)3
C)4
D)5
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15
An accountancy firm would like to establish groups of similar taxation policies based on a database they have populated.They are faced with Kaiser's criterion for retaining factors.What rule should they follow for retaining factors?
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.
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.
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16
A colleague has asked you to explain which of the following statements is not true of exploratory factor analysis (EFA)?
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.
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.
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