Question 1

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?

Accepted Answer

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

Question 2

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

Accepted Answer

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

Question 3

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

Accepted Answer

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 
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 B

Question 4

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

Accepted Answer

Shultz, Whitney, and Zickar (2021) recom

Question 5

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

Accepted Answer

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

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?

Accepted Answer

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

Accepted Answer

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 
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

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

Accepted Answer

Exploratory factor analysis should be us

Question 9

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

Accepted Answer

First off, multiple fit statistics shoul

Question 10

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

Accepted Answer

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 
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 11

How can confirmatory factor analysis be used in scale validation?

Accepted Answer

CFA is a powerful technique that should

Question 12

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

Accepted Answer

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

Question 13

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

Accepted Answer

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 
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 14

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

Accepted Answer

There are several things that can be con

Question 15

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

Accepted Answer

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

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

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

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

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

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

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

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

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

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

How can confirmatory factor analysis be used in scale validation?

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

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

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

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

Introduction and Overview

Statistics Review for PSYC Measurement

Sychological Scaling

Test Preparation and Specification

Reliability Overview: Classical Test Theory

Estimating Reliability

Content Validation

Criterion-Related Validation

Construct Validation

VG Psychometric Meta-Analysis Copy

Tests Bias Unfairness and Equivalence

Developing Tests of Maximal Performance

Classical Test Theory Item Analysis

Scoring Tests

Developing Measures of Typical Performance

Response Biases

Multiple Regression

Exploratory Factor Analysis

Item Response Theory

Applications of Item Response Theory: Computer Adaptive Testing and Differential Item Functioning

Generalizability Theory

Filters

Exam 19: Confirmatory Factor Analysis

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

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

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

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

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

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

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

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

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

How can confirmatory factor analysis be used in scale validation?

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

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

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

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

Introduction and Overview

Statistics Review for PSYC Measurement

Sychological Scaling

Test Preparation and Specification

Reliability Overview: Classical Test Theory

Estimating Reliability

Content Validation

Criterion-Related Validation

Construct Validation

VG Psychometric Meta-Analysis Copy

Tests Bias Unfairness and Equivalence

Developing Tests of Maximal Performance

Classical Test Theory Item Analysis

Scoring Tests

Developing Measures of Typical Performance

Response Biases

Multiple Regression

Exploratory Factor Analysis

Item Response Theory

Applications of Item Response Theory: Computer Adaptive Testing and Differential Item Functioning

Generalizability Theory

Filters

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