Question 1

Which of the following is true about the relationship of SEM to multiple regression techniques?

Accepted Answer

A) SEM is similar to multiple regression when exogenous constructs are used to predict endogenous constructs. 
B) It is different from multiple regression because the dependent construct in one relationship may become the independent construct. 
C) It is different from multiple regression because the all of the equation are estimated simultaneously. 
D) A and C are correct. 
E) A, B and C are correct. 
A) SEM is similar to multiple regression when exogenous constructs are used to predict endogenous constructs. 
B) It is different from multiple regression because the dependent construct in one relationship may become the independent construct. 
C) It is different from multiple regression because the all of the equation are estimated simultaneously. 
D) A and C are correct. 
E) A, B and C are correct.

Question 2

Model fit includes the following steps:

Accepted Answer

A) Produce correlations or covariances among the items. 
B) Estimate the covariance matrix between the observed variables based on the proposed measurement and structural models. 
C) Model fit is determined by comparing how closely the estimated covariance matrix matches the observed covariance matrix. 
D) Examine the residuals. 
E) All of the above. 
A) Produce correlations or covariances among the items. 
B) Estimate the covariance matrix between the observed variables based on the proposed measurement and structural models. 
C) Model fit is determined by comparing how closely the estimated covariance matrix matches the observed covariance matrix. 
D) Examine the residuals. 
E) All of the above.

Question 3

The impact of the average error variance of indicators can be understood in terms of communality.

Accepted Answer

A) True 
 B)False

Question 4

Describe the process of conducting SEM and explain the various steps involved.

Accepted Answer

The process of conducting SEM is describ

Question 5

Which is a way to help make sure that the model is identified?

Accepted Answer

A) have at least three observed variables for each latent construct 
B) have all formative indicators 
C) a GFI of .95 or higher 
D) a large sample size 
E) none of the above 
A) have at least three observed variables for each latent construct 
B) have all formative indicators 
C) a GFI of .95 or higher 
D) a large sample size 
E) none of the above

Question 6

A 0.07 value for RMSEA is considered conservative.

Accepted Answer

A) True 
 B)False

Question 7

SEM can be thought of as a combination of MANOVA and ANOVA.

Accepted Answer

A) True 
 B)False

Question 8

Which is not an absolute fit index?

Accepted Answer

A) CFI 
B) SRMR 
C) NFI 
D) Chi-square 
E) A and C 
A) CFI 
B) SRMR 
C) NFI 
D) Chi-square 
E) A and C

Question 9

Convergent validity is established when the measured items are conceptually consistent with a
construct definition.

Accepted Answer

A) True 
 B)False

Question 10

Construct validity is established when the measured items are conceptually consistent with a construct definition.

Accepted Answer

A) True 
 B)False

Question 11

Which of the following is not a fit measure?

Accepted Answer

A) RMSR 
B) SRMR 
C) GFI 
D) TFI 
E) CFI 
A) RMSR 
B) SRMR 
C) GFI 
D) TFI 
E) CFI

Question 12

A 0.90 value for RMSEA is considered conservative.

Accepted Answer

A) True 
 B)False

Which of the following is true about the relationship of SEM to multiple regression techniques?

Model fit includes the following steps:

The impact of the average error variance of indicators can be understood in terms of communality.

Describe the process of conducting SEM and explain the various steps involved.

Which is a way to help make sure that the model is identified?

A 0.07 value for RMSEA is considered conservative.

SEM can be thought of as a combination of MANOVA and ANOVA.

Which is not an absolute fit index?

Convergent validity is established when the measured items are conceptually consistent with a construct definition.

Construct validity is established when the measured items are conceptually consistent with a construct definition.

Which of the following is not a fit measure?

A 0.90 value for RMSEA is considered conservative.

Introduction to Marketing Research

Defining the Marketing Research Problem and Developing an Approach

Research Design

Exploratory Research Design: Secondary Data

Exploratory Research Design: Qualitative Research

Descriptive Research Design: Survey and Observation

Causal Research Design: Experimentation

Measurement and Scaling: Fundamentals and Comparative Scaling

Measurement and Scaling: Noncomparative Scaling Techniques

Questionnaire and Form Design

Sampling: Design and Procedures

Sampling: Final and Initial Sample Size Determination

Fieldwork

Data Preparation

Frequency Distribution, Cross-Tabulation, and Hypothesis Testing

Analysis of Variance and Covariance

Correlation and Regression

Discriminant and Logit Analysis

Factor Analysis

Cluster Analysis

Multidimensional Scaling and Conjoint Analysis

Report Preparation and Presentation

International Marketing Research

Filters

Exam 22: Structural Equation Modeling and Path Analysis

Which of the following is true about the relationship of SEM to multiple regression techniques?

Model fit includes the following steps:

The impact of the average error variance of indicators can be understood in terms of communality.

Describe the process of conducting SEM and explain the various steps involved.

Which is a way to help make sure that the model is identified?

A 0.07 value for RMSEA is considered conservative.

SEM can be thought of as a combination of MANOVA and ANOVA.

Which is not an absolute fit index?

Convergent validity is established when the measured items are conceptually consistent with a construct definition.

Construct validity is established when the measured items are conceptually consistent with a construct definition.

Which of the following is not a fit measure?

A 0.90 value for RMSEA is considered conservative.

Introduction to Marketing Research

Defining the Marketing Research Problem and Developing an Approach

Research Design

Exploratory Research Design: Secondary Data

Exploratory Research Design: Qualitative Research

Descriptive Research Design: Survey and Observation

Causal Research Design: Experimentation

Measurement and Scaling: Fundamentals and Comparative Scaling

Measurement and Scaling: Noncomparative Scaling Techniques

Questionnaire and Form Design

Sampling: Design and Procedures

Sampling: Final and Initial Sample Size Determination

Fieldwork

Data Preparation

Frequency Distribution, Cross-Tabulation, and Hypothesis Testing

Analysis of Variance and Covariance

Correlation and Regression

Discriminant and Logit Analysis

Factor Analysis

Cluster Analysis

Multidimensional Scaling and Conjoint Analysis

Report Preparation and Presentation

International Marketing Research

Filters