Question 1

Which procedure would you not use to determine the number of factors to be included in your interpolation of an EFA?

Accepted Answer

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. 
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. C

Question 2

Rotation means

Accepted Answer

A)  Turning the matrix on one side. 
B)  Simplifying the loadings. 
C)  Interpretation of the factors. 
D)  Interpretation of the graph. 
A)  Turning the matrix on one side. 
B)  Simplifying the loadings. 
C)  Interpretation of the factors. 
D)  Interpretation of the graph. C

Question 3

Most researchers use exploratory factor analysis to

Accepted Answer

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. B

Question 4

What does Cronbach's alpha test for?

Accepted Answer

A)  Significance of factors 
B)  Functionality 
C)  Reliability 
D)  Significance of variables 
A)  Significance of factors 
B)  Functionality 
C)  Reliability 
D)  Significance of variables

Question 5

Varimax rotation should be used when

Accepted Answer

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.

Question 6

Which of the following is not an example of factor analysis methods?

Accepted Answer

A)  Confirmatory factor analysis 
B)  Principal axis factoring 
C)  Hypothesis factoring 
D)  Image factoring 
A)  Confirmatory factor analysis 
B)  Principal axis factoring 
C)  Hypothesis factoring 
D)  Image factoring

Question 7

Reverse-scoring items prior to running a reliability analysis allows for which of the following?

Accepted Answer

A)  Bartlett's test of sphericity 
B)  Rotation techniques 
C)  Identification of outliers 
D)  None of the above 
A)  Bartlett's test of sphericity 
B)  Rotation techniques 
C)  Identification of outliers 
D)  None of the above

Question 8

Kaiser's criterion for retaining factors is

Accepted Answer

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.

Question 9

Liu and Shen (2008) conducted a study to investigate and confirm the dimensional structure of the Care Giver Strain Questionnaire measured from subjects used in clinical research. A factor analysis generated a range of data and included the following scree plot. On this plot, where does the point of inflexion occur?

Accepted Answer

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 
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

Question 10

Which of the following must be met for EFA?

Accepted Answer

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

Question 11

Which of the following is not an assumption of factor analysis?

Accepted Answer

A) Large sample size (> 150) B) Small sample size (< 50) C) Linearity D) Factorability of correlation matrix A) Large sample size (> 150) B) Small sample size (< 50) C) Linearity D) Factorability of correlation matrix

Question 12

Factor loadings are

Accepted Answer

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.

Question 13

Which statement is not true of exploratory factor analysis (EFA)?

Accepted Answer

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.

Question 14

Which of these is a form of oblique rotation?

Accepted Answer

A)  Varimax 
B)  Quartimax 
C)  Equamax 
D)  Promax 
A)  Varimax 
B)  Quartimax 
C)  Equamax 
D)  Promax

Question 15

A screen plot in factor analysis is a plot of

Accepted Answer

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.

Question 16

Oblique rotation should be used when

Accepted Answer

A)  Factors are expected to correlate. 
B)  Factors are orthogonal. 
C)  Factors are independent. 
D)  Kaiser's criterion is met. 
A)  Factors are expected to correlate. 
B)  Factors are orthogonal. 
C)  Factors are independent. 
D)  Kaiser's criterion is met.

Question 17

In SPSS what criterion is used to extract factors?

Accepted Answer

A)  Varimax 
B)  Kaiser's 
C)  Promax 
D)  None of the above 
A)  Varimax 
B)  Kaiser's 
C)  Promax 
D)  None of the above

Question 18

What does the following output from a factor analysis tell us?

Accepted Answer

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.

Question 19

Cronbach's alpha identified the following values for each of the three factors Factor 1 0.943
Factor 2 0.876
Factor 3 0.877
What process in SPSS provided this information?

Accepted Answer

A)  Extraction 
B)  Rotation 
C)  Communalities 
D)  None of the above 
A)  Extraction 
B)  Rotation 
C)  Communalities 
D)  None of the above

Question 20

Principal component analysis is

Accepted Answer

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. 
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.

Which procedure would you not use to determine the number of factors to be included in your interpolation of an EFA?

Rotation means

Most researchers use exploratory factor analysis to

What does Cronbach's alpha test for?

Varimax rotation should be used when

Which of the following is not an example of factor analysis methods?

Reverse-scoring items prior to running a reliability analysis allows for which of the following?

Kaiser's criterion for retaining factors is

Which of the following must be met for EFA?

Which of the following is not an assumption of factor analysis?

Factor loadings are

Which statement is not true of exploratory factor analysis (EFA)?

Which of these is a form of oblique rotation?

A screen plot in factor analysis is a plot of

Oblique rotation should be used when

In SPSS what criterion is used to extract factors?

What does the following output from a factor analysis tell us?

Cronbach's alpha identified the following values for each of the three factors Factor 1 0.943 Factor 2 0.876 Factor 3 0.877 What process in SPSS provided this information?

Principal component analysis is

Why Is My Evil Lecturer Forcing Me to Learn Statistics

The Spine of Statistics

The Phoenix of Statistics

The Ibm Spss Statistics Environment

Exploring Data With Graphs

The Beast of Bias

Non-Parametric Models

Correlation

The Linear Model Regression

Comparing Two Means

Moderation, Mediation and Multicategory Predictors

Glm 1: Comparing Several Independent Means

Glm 2: Comparing Means Adjusted for Other Predictors Analysis of Covariance

Glm 3: Factorial Designs

Glm 4: Repeated-Measures Designs

Glm 5: Mixed Designs

Multivariate Analysis of Variance Manova

Categorical Outcomes: Chi-Square and Loglinear Analysis

Categorical Outcomes: Logistic Regression

Multilevel Linear Models

Filters

Exam 18: Exploratory Factor Analysis

Which procedure would you not use to determine the number of factors to be included in your interpolation of an EFA?

Rotation means

Most researchers use exploratory factor analysis to

What does Cronbach's alpha test for?

Varimax rotation should be used when

Which of the following is not an example of factor analysis methods?

Reverse-scoring items prior to running a reliability analysis allows for which of the following?

Kaiser's criterion for retaining factors is

Which of the following must be met for EFA?

Which of the following is not an assumption of factor analysis?

Factor loadings are

Which statement is not true of exploratory factor analysis (EFA)?

Which of these is a form of oblique rotation?

A screen plot in factor analysis is a plot of

Oblique rotation should be used when

In SPSS what criterion is used to extract factors?

What does the following output from a factor analysis tell us?

Cronbach's alpha identified the following values for each of the three factors Factor 1 0.943 Factor 2 0.876 Factor 3 0.877 What process in SPSS provided this information?

Principal component analysis is

Why Is My Evil Lecturer Forcing Me to Learn Statistics

The Spine of Statistics

The Phoenix of Statistics

The Ibm Spss Statistics Environment

Exploring Data With Graphs

The Beast of Bias

Non-Parametric Models

Correlation

The Linear Model Regression

Comparing Two Means

Moderation, Mediation and Multicategory Predictors

Glm 1: Comparing Several Independent Means

Glm 2: Comparing Means Adjusted for Other Predictors Analysis of Covariance

Glm 3: Factorial Designs

Glm 4: Repeated-Measures Designs

Glm 5: Mixed Designs

Multivariate Analysis of Variance Manova

Categorical Outcomes: Chi-Square and Loglinear Analysis

Categorical Outcomes: Logistic Regression

Multilevel Linear Models

Filters