Deck 19: Confirmatory Factor Analysis

Question 1

In confirmatory factor analysis diagrams, the circles correspond to ___________.

A) Principal components
B) Factor Loadings
C) Observed items
D) Latent Constructs

Answer 1

D

Question 2

If there is a double-headed arrow between two constructs, that means that _____________?

A) There is a strong relationship between the two constructs
B) There is a correlation between the two constructs
C) Canonical Correlation Analysis
D) Confirmatory Factor Analysis

Answer 2

B

Question 3

Which of the following is not one of the CFA-based goodness of fit statistics mentioned by Shultz, Whitney, and Zickar (2021)? 

A) chi-square
B) root mean squared of approximation
C) routinized residuals
D) comparative fit index

Answer 3

C

Question 4

After a model has been estimated on your particular data set, which of the following would you examine to see how to specifically improve model-data fit?

A) Adjusted goodness-of-fit index
B) Individual error terms
C) Akaike Information
D) Model modification indexes

Question 5

Item bundling can be used in confirmatory factor analysis as a strategy to ____________.

A) reduce the effects of individual item error in your model
B) clarify the effects of individual items on latent constructs
C) clarify the psychological meaning of individual items
D) improve the correlation between constructs

Question 6

In confirmatory factor analysis, what is the preferred term by Shultz, Whitney, and Zickar (2021) for the item variance not explained by latent factors?

A) error
B) residual
C) marker
D) leftover

Question 7

What are useful guidelines on model modification indexes in CFA, according to Shultz, Whitney, and Zickar (2021).

A) You need to verify the model in a new sample.
B) You should use them minimally.
C) You should examine the proposed changes to see if they make sense.
D) All of the above

Question 8

In confirmatory factor analysis, the ______ model assumes that each variable is uncorrelated with every other variable?

A) Zero-order
B) Null
C) Simplified
D) Rogerian

Question 9

According to Shultz, Whitney, and Zickar (2021), when is the chi-square statistic most useful in testing fit with CFA?

A) When you can compare nested models
B) When you have over 50 degrees of freedom
C) When you have a complex factor structure
D) When you have a small sample

Question 10

A model must be _______ before a CFA model can be interpreted.

A) transformed
B) rotated
C) standardized
D) identified

Question 11

What are the best strategies for using fit statistics within CFA?

Question 12

When should confirmatory factor analysis be used compared to exploratory factor analysis?

Question 13

Should researchers be allowed to use model modification indexes to revise or improve their model?

Question 14

What can you do if fit indexes suggest poor goodness-of-fit in a particular model?

Question 15

How can confirmatory factor analysis be used in scale validation?