Question 1

Which of the following statements is true?

Accepted Answer

A)  Social networks model connections between variables. 
B)  Social networks model connections between employees. 
C)  Social networks could be used to model the word-of-mouth communications among consumers. 
D)  a and b 
E)  b and c 
A)  Social networks model connections between variables. 
B)  Social networks model connections between employees. 
C)  Social networks could be used to model the word-of-mouth communications among consumers. 
D)  a and b 
E)  b and c E

Question 2

Structural equations models:

Accepted Answer

A)  are the best tool to study customer loyalty. 
B)  can be modeled in Excel, if you specify the regression statements properly. 
C)  are like regressions but the regression equation is more "structured." 
D)  is a mapping technique. 
E)  can fit models where z=fn(y) and y=fn(x). 
A)  are the best tool to study customer loyalty. 
B)  can be modeled in Excel, if you specify the regression statements properly. 
C)  are like regressions but the regression equation is more "structured." 
D)  is a mapping technique. 
E)  can fit models where z=fn(y) and y=fn(x). E

Question 3

Which statement is false:

Accepted Answer

A)  Social networks finds actors who are central to the network. 
B)  Social networks find cliques and coalitions in networks. 
C)  Social networks describe connections between people, but unfortunately do not describe the qualities of the people very well. 
D)  Social networks can be used to describe the relationships between people, or relationships between organizations. 
E)  Social networks could be used to describe interactions between CEOs and their VPs. 
A)  Social networks finds actors who are central to the network. 
B)  Social networks find cliques and coalitions in networks. 
C)  Social networks describe connections between people, but unfortunately do not describe the qualities of the people very well. 
D)  Social networks can be used to describe the relationships between people, or relationships between organizations. 
E)  Social networks could be used to describe interactions between CEOs and their VPs. C

Question 4

Which of the following is not true:

Accepted Answer

A)  neural networks can learn relationships among variables 
B)  neural networks can be tested in cross-validation 
C)  neural nets have few methodological assumptions 
D)  neural networks are like social networks but they map cognitive connections, not social ones 
E)  neural networks come out of expert systems 
A)  neural networks can learn relationships among variables 
B)  neural networks can be tested in cross-validation 
C)  neural nets have few methodological assumptions 
D)  neural networks are like social networks but they map cognitive connections, not social ones 
E)  neural networks come out of expert systems

Question 5

Structural equations models:

Accepted Answer

A)  are like regression in that some variables predict others. 
B)  are like factor analysis in that multiple indicator variables may be included. 
C)  are like discriminant analysis in that group differences are modeled. 
D)  a and b 
E)  a, b and c 
A)  are like regression in that some variables predict others. 
B)  are like factor analysis in that multiple indicator variables may be included. 
C)  are like discriminant analysis in that group differences are modeled. 
D)  a and b 
E)  a, b and c

Question 6

Which of the following statements is true:

Accepted Answer

A)  Correspondence analysis (C
A)  tracks the flow of correspondence, and these days is mostly used to analyze patterns of email. 
B)  CA is used to track the correspondence between consumers' attitudes and their behaviors. 
C)  CA is a mapping technique. 
D)  CA maps consumer preferences to market segments. 
E)  None of these statements are true. 
A)  Correspondence analysis (C
A)  tracks the flow of correspondence, and these days is mostly used to analyze patterns of email. 
B)  CA is used to track the correspondence between consumers' attitudes and their behaviors. 
C)  CA is a mapping technique. 
D)  CA maps consumer preferences to market segments. 
E)  None of these statements are true.

Question 7

Which of the following statements is false:

Accepted Answer

A)  Correspondence analysis (C
A)  can be used for research on the Internet. 
B)  CA uses the same distance formula as MDS or cluster analysis. 
C)  CA provides a perceptual map like MDS but the data can come from checklists. 
D)  CA provides a perceptual map like MDS but the points represent market shares. 
E)  both c and d are false 
A)  Correspondence analysis (C
A)  can be used for research on the Internet. 
B)  CA uses the same distance formula as MDS or cluster analysis. 
C)  CA provides a perceptual map like MDS but the data can come from checklists. 
D)  CA provides a perceptual map like MDS but the points represent market shares. 
E)  both c and d are false

Question 8

Neural networks:

Accepted Answer

A)  are believed to describe fairly accurately neural transmissions in the brain. 
B)  require assumptions of multivariate normality. 
C)  require large data bases. 
D)  require ratio level data. 
E)  require the user to specify the beta-weights. 
A)  are believed to describe fairly accurately neural transmissions in the brain. 
B)  require assumptions of multivariate normality. 
C)  require large data bases. 
D)  require ratio level data. 
E)  require the user to specify the beta-weights.

Which of the following statements is true?

Structural equations models:

Which statement is false:

Which of the following is not true:

Structural equations models:

Which of the following statements is true:

Which of the following statements is false:

Neural networks:

Marketing Research: Its Everywhere

Alternative Approaches to Marketing Intelligence

The Research Process and Problem Formulation

Research Design, Exploratory Research, and Qualitative Data

Descriptive Research

Causal Designs

Data Collection: Secondary Data

Data Collection: Primary Data

Questionnaires and Data Collection Forms

Attitude Measurement

Appendix 10: Psychological Measurement

Sampling Procedures

Sample Size

Collecting the Data: Field Procedures and Nonsampling Error

Data Analysis: Preliminary Steps

Appendix 14: Chi-Square Tests

Data Analysis: Basic Questions

Appendix 15 A: Quick Stats Review

Data Analysis: Examination of Differences

Appendix 16 A: Analysis of Variance

Data Analysis: Investigation of Association

Multivairate Data Analysis: Discriminant Analysis, Factor Analysis, Cluster Analysis, and Multidimensional Scaling

The Research Report

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Exam 18: Appendix: More Multivariate Statistical Techniques

Which of the following statements is true?

Structural equations models:

Which statement is false:

Which of the following is not true:

Structural equations models:

Which of the following statements is true:

Which of the following statements is false:

Neural networks:

Marketing Research: Its Everywhere

Alternative Approaches to Marketing Intelligence

The Research Process and Problem Formulation

Research Design, Exploratory Research, and Qualitative Data

Descriptive Research

Causal Designs

Data Collection: Secondary Data

Data Collection: Primary Data

Questionnaires and Data Collection Forms

Attitude Measurement

Appendix 10: Psychological Measurement

Sampling Procedures

Sample Size

Collecting the Data: Field Procedures and Nonsampling Error

Data Analysis: Preliminary Steps

Appendix 14: Chi-Square Tests

Data Analysis: Basic Questions

Appendix 15 A: Quick Stats Review

Data Analysis: Examination of Differences

Appendix 16 A: Analysis of Variance

Data Analysis: Investigation of Association

Multivairate Data Analysis: Discriminant Analysis, Factor Analysis, Cluster Analysis, and Multidimensional Scaling

The Research Report

Filters