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

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

Accepted Answer

A) True 
 B)False

Question 3

Which of the following are true regarding SEM models?

Accepted Answer

A) A SEM model consists of two models: the measurement model and the structural model. 
B) The measurement model depicts how the observed variable represent constructs. 
C) The observed variables are measured by researcher. 
D) A structural model shows how the constructs are interrelated to each other,often with multiple dependence relationships. 
E) All of the above 
A) A SEM model consists of two models: the measurement model and the structural model. 
B) The measurement model depicts how the observed variable represent constructs. 
C) The observed variables are measured by researcher. 
D) A structural model shows how the constructs are interrelated to each other,often with multiple dependence relationships. 
E) All of the above

Question 4

SEM can be thought of as a combination of Discriminant analysis and cluster analysis.

Accepted Answer

A) True 
 B)False

Question 5

SEM models are estimated so as to minimize the sum of squares between constructs.

Accepted Answer

A) True 
 B)False

Question 6

The diagnostic cues that can be used to make appropriate modifications include ________.

Accepted Answer

A) the path estimates or loadings 
B) standardized residual 
C) modification indices 
D) specification search 
E) all of the above 
A) the path estimates or loadings 
B) standardized residual 
C) modification indices 
D) specification search 
E) all of the above

Question 7

Generally,we use SEM to find a suitable model.

Accepted Answer

A) True 
 B)False

Question 8

The validity of the measurement model depends on ________.

Accepted Answer

A) goodness-of-fit results 
B) composite reliability 
C) convergent validity 
D) discriminant validity 
E) all of the above 
A) goodness-of-fit results 
B) composite reliability 
C) convergent validity 
D) discriminant validity 
E) all of the above

Question 9

Which of the following is a distinguishing characteristic of SEM?

Accepted Answer

A) The estimation of multiple and interrelated dependence relationships simultaneously in a single analysis. 
B) The explaining of the covariance among the measured items or observed variables. 
C) The ability to discriminate multiple groups in a single analysis. 
D) A and B 
E) A,B,and C 
A) The estimation of multiple and interrelated dependence relationships simultaneously in a single analysis. 
B) The explaining of the covariance among the measured items or observed variables. 
C) The ability to discriminate multiple groups in a single analysis. 
D) A and B 
E) A,B,and C

Question 10

SEM can be thought of as a combination of MANOVA and Exploratory factor analysis.

Accepted Answer

A) True 
 B)False

Question 11

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

Accepted Answer

A) multiple regression 
B) analysis of Covariance 
C) discriminant analysis 
D) cluster analysis 
E) MDS 
A) multiple regression 
B) analysis of Covariance 
C) discriminant analysis 
D) cluster analysis 
E) MDS

Question 12

RMSEA is an incremental fit index.

Accepted Answer

A) True 
 B)False

Question 13

SEM can be thought of as a combination of MANOVA and multiple regression analysis.

Accepted Answer

A) True 
 B)False

Question 14

RMSR statistic is most useful for comparing nested models.

Accepted Answer

A) True 
 B)False

Question 15

________ are the actual items that are measured using a survey questionnaire.

Accepted Answer

A) Constructs 
B) Measured variables or indicators 
C) Latent factors 
D) Observed factors 
E) Estimated Parameter 
A) Constructs 
B) Measured variables or indicators 
C) Latent factors 
D) Observed factors 
E) Estimated Parameter

Question 16

RNI is a parsimony fit index.

Accepted Answer

A) True 
 B)False

Question 17

CFI is an absolute fit index.

Accepted Answer

A) True 
 B)False

Question 18

The specification of which variables load on which factors is a difference contrasting EFA with CFA.

Accepted Answer

A) True 
 B)False

Question 19

A construct is an unobservable or latent variable that can be defined in conceptual terms that can be measured directly.

Accepted Answer

A) True 
 B)False

Question 20

It is recommended that each construct be measured by using at least three observed variables.

Accepted Answer

A) True 
 B)False

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.

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

Which of the following are true regarding SEM models?

SEM can be thought of as a combination of Discriminant analysis and cluster analysis.

SEM models are estimated so as to minimize the sum of squares between constructs.

The diagnostic cues that can be used to make appropriate modifications include ________.

Generally,we use SEM to find a suitable model.

The validity of the measurement model depends on ________.

Which of the following is a distinguishing characteristic of SEM?

SEM can be thought of as a combination of MANOVA and Exploratory factor analysis.

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

RMSEA is an incremental fit index.

SEM can be thought of as a combination of MANOVA and multiple regression analysis.

RMSR statistic is most useful for comparing nested models.

________ are the actual items that are measured using a survey questionnaire.

RNI is a parsimony fit index.

CFI is an absolute fit index.

The specification of which variables load on which factors is a difference contrasting EFA with CFA.

A construct is an unobservable or latent variable that can be defined in conceptual terms that can be measured directly.

It is recommended that each construct be measured by using at least three observed variables.

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

Filters