Question 1

In SEM,the posited relationships between constructs are tested similarly to the way they are tested using cluster analysis.

Accepted Answer

A) True 
 B)False

Question 2

A sample size of 1000 is used to test a structural model of advertising effectiveness for the
Coca-Cola company.The results show that a significant relationship exists between advertising effectiveness and sales.The estimated value of the standardized path estimate is .035.The Coca-Cola management dismisses the finding because the relationship is trivial.

Accepted Answer

A) True 
 B)False

Question 3

Dependence relationships are represented with one-headed straight arrows in a path model.

Accepted Answer

A) True 
 B)False

Question 4

SEM is a procedure for estimating a series of dependence relationships among a set of concepts or constructs represented by multiple measured variables and incorporated in to an integrated model.

Accepted Answer

A) True 
 B)False

Question 5

Which is not an absolute fit index?

Accepted Answer

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

Question 6

In moving from the measurement model to the structural model the emphasis shifts from the
relationships between latent constructs and measured variables to the nature and magnitude of the relationships between constructs.

Accepted Answer

A) True 
 B)False

Question 7

RMSEA is an incremental fit index.

Accepted Answer

A) True 
 B)False

Question 8

Having at least three observed variables for each latent construct is a way to help make sure
that the model is identified.

Accepted Answer

A) True 
 B)False

Question 9

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 all of the equation are estimated simultaneously. 
C)  It is different from multiple regression because the dependent construct in one relationship may become the independent construct. 
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 all of the equation are estimated simultaneously. 
C)  It is different from multiple regression because the dependent construct in one relationship may become the independent construct. 
D)  A and C are correct. 
E)  A,B and C are correct.

Question 10

Dependence relationships are represented with two-headed curved arrows in a path model.

Accepted Answer

A) True 
 B)False

In SEM,the posited relationships between constructs are tested similarly to the way they are tested using cluster analysis.

Dependence relationships are represented with one-headed straight arrows in a path model.

SEM is a procedure for estimating a series of dependence relationships among a set of concepts or constructs represented by multiple measured variables and incorporated in to an integrated model.

Which is not an absolute fit index?

In moving from the measurement model to the structural model the emphasis shifts from the relationships between latent constructs and measured variables to the nature and magnitude of the relationships between constructs.

RMSEA is an incremental fit index.

Having at least three observed variables for each latent construct is a way to help make sure that the model is identified.

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

Dependence relationships are represented with two-headed curved arrows in a path model.

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

Casual Research Design: Experimentation

Measurement and Scaling: Fundamentals and Comparative Scaling

Measurement and Scaling: Non Comparative 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

In SEM,the posited relationships between constructs are tested similarly to the way they are tested using cluster analysis.

Dependence relationships are represented with one-headed straight arrows in a path model.

SEM is a procedure for estimating a series of dependence relationships among a set of concepts or constructs represented by multiple measured variables and incorporated in to an integrated model.

Which is not an absolute fit index?

In moving from the measurement model to the structural model the emphasis shifts from the relationships between latent constructs and measured variables to the nature and magnitude of the relationships between constructs.

RMSEA is an incremental fit index.

Having at least three observed variables for each latent construct is a way to help make sure that the model is identified.

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

Dependence relationships are represented with two-headed curved arrows in a path model.

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

Casual Research Design: Experimentation

Measurement and Scaling: Fundamentals and Comparative Scaling

Measurement and Scaling: Non Comparative 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