Question 1

Heterogeneity models go by all of the following names except

Accepted Answer

A)  discrete heterogeneity 
B)  continuous heterogeneity 
C)  latent class model 
D)  Bayesian estimation model 
A)  discrete heterogeneity 
B)  continuous heterogeneity 
C)  latent class model 
D)  Bayesian estimation model

Question 2

The predictions from homogenous models are far superior to those from hierarchical models.

Accepted Answer

A) True 
 B)False

Question 3

The vast majority of statistical models used in marketing yield only one value for each "$\beta$," which marketers assume is valid for everyone; yet this concept is in direct contrast to the idea of heterogeneity.

Accepted Answer

A) True 
 B)False

Question 4

The concept of heterogeneity is very important to marketing because people respond differently to the same marketing variable.

Accepted Answer

A) True 
 B)False

Question 5

Product recommendation systems use heterogeneity,hierarchical Bayes modeling,and sample selection bias correction in a single application to predict products a customer will like.

Accepted Answer

A) True 
 B)False

Question 6

In terms of selection,which two movies have the highest heterogeneity?

Accepted Answer

A)  Action and Animation 
B)  Animation and Art 
C)  Family and Classic 
D)  Art and Horror 
A)  Action and Animation 
B)  Animation and Art 
C)  Family and Classic 
D)  Art and Horror

Question 7

Although hierarchical models are excellent for allowing for individual differences among respondents and measuring that difference in a meaningful way,they cannot provide information about where it comes from.

Accepted Answer

A) True 
 B)False

Question 8

In examining the differences between men's and women's weight,it can be said that each inch of height adds more to men's weight than to women's.This is an example of

Accepted Answer

A)  intercept heterogeneity 
B)  slope heterogeneity 
C)  Bayes heterogeneity 
D)  hierarchical heterogeneity 
A)  intercept heterogeneity 
B)  slope heterogeneity 
C)  Bayes heterogeneity 
D)  hierarchical heterogeneity

Question 9

The fact that different people respond differently to the same sale,advertisement or other marketing variables is

Accepted Answer

A)  Bayes model of reaction 
B)  heterogeneity 
C)  homogeneity 
D)  a results of selection bias 
A)  Bayes model of reaction 
B)  heterogeneity 
C)  homogeneity 
D)  a results of selection bias

Question 10

Having used a Bayesian estimation process,to determine the best value for a parameter,researchers look

Accepted Answer

A)  at the standard errors plot 
B)  at the highest point of the posterior distribution 
C)  for the highest factor loading 
D)  for the highest beta value 
A)  at the standard errors plot 
B)  at the highest point of the posterior distribution 
C)  for the highest factor loading 
D)  for the highest beta value

Question 11

A hierarchical model that is estimated by Bayesian methods is called a

Accepted Answer

A)  hierarchical Bayes model 
B)  a Heckman model 
C)  Bayesian heterogeneity model 
D)  latent class model 
A)  hierarchical Bayes model 
B)  a Heckman model 
C)  Bayesian heterogeneity model 
D)  latent class model

Question 12

When writing a research report,it is important to remember that the report is designed to provide information to decision makers,not to showcase intriguing findings of the research.

Accepted Answer

A) True 
 B)False

Question 13

It is rare that an overt selection bias will

Accepted Answer

A)  have an effect on the outcome of a study 
B)  have no effect on the outcome of a study 
C)  have a significant impact on a study 
D)  will influence a management decision advised by a study 
A)  have an effect on the outcome of a study 
B)  have no effect on the outcome of a study 
C)  have a significant impact on a study 
D)  will influence a management decision advised by a study

Question 14

Explain the general procedure of how the Markov chain Monte Carlo works.

Accepted Answer

The following steps are followed:1.Make

Question 15

The Markov chain Monte Carlo process will yield a single optimal value for each parameter.

Accepted Answer

A) True 
 B)False

Heterogeneity models go by all of the following names except

The predictions from homogenous models are far superior to those from hierarchical models.

The vast majority of statistical models used in marketing yield only one value for each " $\beta$ ," which marketers assume is valid for everyone; yet this concept is in direct contrast to the idea of heterogeneity.

The concept of heterogeneity is very important to marketing because people respond differently to the same marketing variable.

Product recommendation systems use heterogeneity,hierarchical Bayes modeling,and sample selection bias correction in a single application to predict products a customer will like.

In terms of selection,which two movies have the highest heterogeneity?

Although hierarchical models are excellent for allowing for individual differences among respondents and measuring that difference in a meaningful way,they cannot provide information about where it comes from.

In examining the differences between men's and women's weight,it can be said that each inch of height adds more to men's weight than to women's.This is an example of

The fact that different people respond differently to the same sale,advertisement or other marketing variables is

Having used a Bayesian estimation process,to determine the best value for a parameter,researchers look

A hierarchical model that is estimated by Bayesian methods is called a

When writing a research report,it is important to remember that the report is designed to provide information to decision makers,not to showcase intriguing findings of the research.

It is rare that an overt selection bias will

Explain the general procedure of how the Markov chain Monte Carlo works.

The Markov chain Monte Carlo process will yield a single optimal value for each parameter.

The Purpose and Process of Marketing Research

Research Design and Data Sources

Measurement in Marketing Research

Causal Designs and Marketing Experiments

Data Collection: Exploratory and Conclusive Research

Designing Surveys and Data Collection Instruments

Sampling

Data Analysis and Statistical Methods: Univariate and Bivariate Analyses

Multiple Regression: Modeling Multivariate Relationships

Multivariate Methods of Marketing Research I: Factor, cluster, and Discriminant Analyses

Multivariate Methods of Marketing Reseach Ii: Conjoint Analysis and Multidimensional Scaling

Filters

Exam 12: Advanced Topics, research Frontiers, and Preparing the Final Report

Heterogeneity models go by all of the following names except

The predictions from homogenous models are far superior to those from hierarchical models.

The vast majority of statistical models used in marketing yield only one value for each " β\betaβ ," which marketers assume is valid for everyone; yet this concept is in direct contrast to the idea of heterogeneity.

The concept of heterogeneity is very important to marketing because people respond differently to the same marketing variable.

Product recommendation systems use heterogeneity,hierarchical Bayes modeling,and sample selection bias correction in a single application to predict products a customer will like.

In terms of selection,which two movies have the highest heterogeneity?

Although hierarchical models are excellent for allowing for individual differences among respondents and measuring that difference in a meaningful way,they cannot provide information about where it comes from.

In examining the differences between men's and women's weight,it can be said that each inch of height adds more to men's weight than to women's.This is an example of

The fact that different people respond differently to the same sale,advertisement or other marketing variables is

Having used a Bayesian estimation process,to determine the best value for a parameter,researchers look

A hierarchical model that is estimated by Bayesian methods is called a

When writing a research report,it is important to remember that the report is designed to provide information to decision makers,not to showcase intriguing findings of the research.

It is rare that an overt selection bias will

Explain the general procedure of how the Markov chain Monte Carlo works.

The Markov chain Monte Carlo process will yield a single optimal value for each parameter.

The Purpose and Process of Marketing Research

Research Design and Data Sources

Measurement in Marketing Research

Causal Designs and Marketing Experiments

Data Collection: Exploratory and Conclusive Research

Designing Surveys and Data Collection Instruments

Sampling

Data Analysis and Statistical Methods: Univariate and Bivariate Analyses

Multiple Regression: Modeling Multivariate Relationships

Multivariate Methods of Marketing Research I: Factor, cluster, and Discriminant Analyses

Multivariate Methods of Marketing Reseach Ii: Conjoint Analysis and Multidimensional Scaling

Filters

The vast majority of statistical models used in marketing yield only one value for each " $\beta$ ," which marketers assume is valid for everyone; yet this concept is in direct contrast to the idea of heterogeneity.