Question 1

Varimax rotation involves an oblique rotation of the factors.

Accepted Answer

A) True 
 B)False

Question 2

Use the following table from a cluster analysis to answer the following questions.
Agglomeration Schedule for Centroid Hierarchical Cluster Analysis
  
-When is discriminant analysis appropriate?

Accepted Answer

Discriminant analysis is appro

Question 3

A principle component can be defined as
$$z = b _ { 1 } X _ { 1 } + b _ { 2 } X _ { 2 } + \ldots + b _ { m } X _ { m }$$
Where the b values

Accepted Answer

A)  explain as much variance in the correlation matrix as possible 
B)  maximize   
C)    
D)  are orthogonal 
A)  explain as much variance in the correlation matrix as possible 
B)  maximize   
C)    
D)  are orthogonal

Question 4

In examining factor loadings in a factor analysis,a high loading would have a score

Accepted Answer

A)  above 0 
B)  above 3 
C)  close to either -1 or 1 
D)  with an absolute value approaching 5 
A)  above 0 
B)  above 3 
C)  close to either -1 or 1 
D)  with an absolute value approaching 5

Question 5

The principal .reason for rotating a factor analysis solution is to increase the amount of "explained" variance in the variables.

Accepted Answer

A) True 
 B)False

Question 6

Varimax rotation in factor analysis will tell researchers the optimal number of factors they should have in a data reduction situation.

Accepted Answer

A) True 
 B)False

Question 7

A discriminant function is a linear combination of the independent variables that makes the predicted mean for each category as different as possible.This function is of the form
 $$D F = v _ { 1 } X _ { 1 } + \mathcal { V } _ { 2 } X _ { 2 } + \ldots + \mathcal { V } _ { m } X _ { m }$$

Accepted Answer

A) True 
 B)False

Question 8

Statisticians often call the clusters obtained through cluster analysis "latent" because they need to be discerned via analysis and are not directly observable.

Accepted Answer

A) True 
 B)False

Question 9

Use the following table from a cluster analysis to answer the following questions.
Agglomeration Schedule for Centroid Hierarchical Cluster Analysis
  
-After the first 3 clusters are formed,there are 9 clusters remaining,

Accepted Answer

A)  each containing a single brand 
B)  9 clusters with a single brand and 3 clusters with two brands each 
C)  3 clusters with a single brand and 3 clusters with two brands each 
D)  6 clusters with a single brand and 3 clusters with two brands each 
A)  each containing a single brand 
B)  9 clusters with a single brand and 3 clusters with two brands each 
C)  3 clusters with a single brand and 3 clusters with two brands each 
D)  6 clusters with a single brand and 3 clusters with two brands each

Question 10

_______________ refer(s)to how well all the factors in the solution taken together explain each of the variables.

Accepted Answer

A)  The overall eigenvalue 
B)  The F-test 
C)  Factor loadings 
D)  Communalities 
A)  The overall eigenvalue 
B)  The F-test 
C)  Factor loadings 
D)  Communalities

Question 11

Use the following table from a cluster analysis to answer the following questions.
Agglomeration Schedule for Centroid Hierarchical Cluster Analysis
  
-If the researcher were to stop after the centroid distance of 0.683 with 6 remaining clusters,identify each cluster and which brands are in it.

Accepted Answer

CL10: Miller Lite,Schlitz Light
CL9: Str

Question 12

Factor analysis uses three steps in arriving at a solution.The first step is to

Accepted Answer

A)  develop a set of correlations between all combinations of variables 
B)  sort the data by cases from lowest to highest 
C)  determine the optimum number of factors to explain the variables 
D)  rotate the factors 
A)  develop a set of correlations between all combinations of variables 
B)  sort the data by cases from lowest to highest 
C)  determine the optimum number of factors to explain the variables 
D)  rotate the factors

Question 13

The basic idea of _______________ is to find a linear combination of the independent variables that makes the mean scores across categories of the dependent variable as different as possible.

Accepted Answer

A)  discriminant analysis 
B)  factor analysis 
C)  principle components 
D)  cluster analysis 
A)  discriminant analysis 
B)  factor analysis 
C)  principle components 
D)  cluster analysis

Question 14

The v's of a DF are estimated so that
 $F = \frac { S S _ { \text {between } } } { S S _ { \text {within } } }$ 
is minimized.

Accepted Answer

A) True 
 B)False

Question 15

Suppose a factor analysis results in 8 factors and that the communality for variable 12 is 0.863.The 0.863

Accepted Answer

A)  means about 86.3 percent of the variance of variable 12 is explained by the eight factors 
B)  means that 86.3 percent of the variance of variable 12 is explained by the factor on which it loads 
C)  is the factor loading for variable 12 
D)  explains how much of the variable is error 
A)  means about 86.3 percent of the variance of variable 12 is explained by the eight factors 
B)  means that 86.3 percent of the variance of variable 12 is explained by the factor on which it loads 
C)  is the factor loading for variable 12 
D)  explains how much of the variable is error

Question 16

All of the following are underlying reasons for the increased use of multivariate analysis techniques except

Accepted Answer

A)  expanding global usage of marketing research 
B)  marketing problems are rarely completely described by one or two variables 
C)  dramatic increase in computer speed and advances in software packages 
D)  improved understanding of statistical concepts among marketing researchers 
A)  expanding global usage of marketing research 
B)  marketing problems are rarely completely described by one or two variables 
C)  dramatic increase in computer speed and advances in software packages 
D)  improved understanding of statistical concepts among marketing researchers

Question 17

Use the following table from a cluster analysis to answer the following questions.
Agglomeration Schedule for Centroid Hierarchical Cluster Analysis
  
-When Heineken joins with a cluster,identify all of the other brands already in the cluster it joins.

Accepted Answer

Brands include Coors

Question 18

A confusion matrix crosstabulates the distances between discriminant functions to facilitate graphical analysis.

Accepted Answer

A) True 
 B)False

Question 19

When analyzing a nominal dependent variable in terms of several interval independent variables,researchers use

Accepted Answer

A)  discriminant analysis 
B)  the principle components method 
C)  factor analysis 
D)  cluster analysis 
A)  discriminant analysis 
B)  the principle components method 
C)  factor analysis 
D)  cluster analysis

Question 20

What is a discriminant function,and how does it relate to cluster analysis and segmentation?

Accepted Answer

A discriminant function is a linear comb

Varimax rotation involves an oblique rotation of the factors.

Use the following table from a cluster analysis to answer the following questions. Agglomeration Schedule for Centroid Hierarchical Cluster Analysis -When is discriminant analysis appropriate?

A principle component can be defined as $z = b _ { 1 } X _ { 1 } + b _ { 2 } X _ { 2 } + \ldots + b _ { m } X _ { m }$ Where the b values

In examining factor loadings in a factor analysis,a high loading would have a score

The principal .reason for rotating a factor analysis solution is to increase the amount of "explained" variance in the variables.

Varimax rotation in factor analysis will tell researchers the optimal number of factors they should have in a data reduction situation.

A discriminant function is a linear combination of the independent variables that makes the predicted mean for each category as different as possible.This function is of the form $D F = v _ { 1 } X _ { 1 } + \mathcal { V } _ { 2 } X _ { 2 } + \ldots + \mathcal { V } _ { m } X _ { m }$

Statisticians often call the clusters obtained through cluster analysis "latent" because they need to be discerned via analysis and are not directly observable.

Use the following table from a cluster analysis to answer the following questions. Agglomeration Schedule for Centroid Hierarchical Cluster Analysis -After the first 3 clusters are formed,there are 9 clusters remaining,

_______________ refer(s)to how well all the factors in the solution taken together explain each of the variables.

Use the following table from a cluster analysis to answer the following questions. Agglomeration Schedule for Centroid Hierarchical Cluster Analysis -If the researcher were to stop after the centroid distance of 0.683 with 6 remaining clusters,identify each cluster and which brands are in it.

Factor analysis uses three steps in arriving at a solution.The first step is to

The basic idea of _______________ is to find a linear combination of the independent variables that makes the mean scores across categories of the dependent variable as different as possible.

The v's of a DF are estimated so that $F = \frac { S S _ { \text {between } } } { S S _ { \text {within } } }$ is minimized.

Suppose a factor analysis results in 8 factors and that the communality for variable 12 is 0.863.The 0.863

All of the following are underlying reasons for the increased use of multivariate analysis techniques except

Use the following table from a cluster analysis to answer the following questions. Agglomeration Schedule for Centroid Hierarchical Cluster Analysis -When Heineken joins with a cluster,identify all of the other brands already in the cluster it joins.

A confusion matrix crosstabulates the distances between discriminant functions to facilitate graphical analysis.

When analyzing a nominal dependent variable in terms of several interval independent variables,researchers use

What is a discriminant function,and how does it relate to cluster analysis and segmentation?

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 Reseach Ii: Conjoint Analysis and Multidimensional Scaling

Advanced Topics, research Frontiers, and Preparing the Final Report

Filters

Exam 10: Multivariate Methods of Marketing Research I: Factor, cluster, and Discriminant Analyses

Varimax rotation involves an oblique rotation of the factors.

Use the following table from a cluster analysis to answer the following questions. Agglomeration Schedule for Centroid Hierarchical Cluster Analysis -When is discriminant analysis appropriate?

A principle component can be defined as z=b1X1+b2X2+…+bmXmz = b _ { 1 } X _ { 1 } + b _ { 2 } X _ { 2 } + \ldots + b _ { m } X _ { m }z=b1​X1​+b2​X2​+…+bm​Xm​ Where the b values

In examining factor loadings in a factor analysis,a high loading would have a score

The principal .reason for rotating a factor analysis solution is to increase the amount of "explained" variance in the variables.

Varimax rotation in factor analysis will tell researchers the optimal number of factors they should have in a data reduction situation.

Statisticians often call the clusters obtained through cluster analysis "latent" because they need to be discerned via analysis and are not directly observable.

Use the following table from a cluster analysis to answer the following questions. Agglomeration Schedule for Centroid Hierarchical Cluster Analysis -After the first 3 clusters are formed,there are 9 clusters remaining,

_______________ refer(s)to how well all the factors in the solution taken together explain each of the variables.

Use the following table from a cluster analysis to answer the following questions. Agglomeration Schedule for Centroid Hierarchical Cluster Analysis -If the researcher were to stop after the centroid distance of 0.683 with 6 remaining clusters,identify each cluster and which brands are in it.

Factor analysis uses three steps in arriving at a solution.The first step is to

The basic idea of _______________ is to find a linear combination of the independent variables that makes the mean scores across categories of the dependent variable as different as possible.

The v's of a DF are estimated so that F=SSbetween SSwithin F = \frac { S S _ { \text {between } } } { S S _ { \text {within } } }F=SSwithin ​SSbetween ​​ is minimized.

Suppose a factor analysis results in 8 factors and that the communality for variable 12 is 0.863.The 0.863

All of the following are underlying reasons for the increased use of multivariate analysis techniques except

Use the following table from a cluster analysis to answer the following questions. Agglomeration Schedule for Centroid Hierarchical Cluster Analysis -When Heineken joins with a cluster,identify all of the other brands already in the cluster it joins.

A confusion matrix crosstabulates the distances between discriminant functions to facilitate graphical analysis.

When analyzing a nominal dependent variable in terms of several interval independent variables,researchers use

What is a discriminant function,and how does it relate to cluster analysis and segmentation?

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 Reseach Ii: Conjoint Analysis and Multidimensional Scaling

Advanced Topics, research Frontiers, and Preparing the Final Report

Filters

A principle component can be defined as $z = b _ { 1 } X _ { 1 } + b _ { 2 } X _ { 2 } + \ldots + b _ { m } X _ { m }$ Where the b values

The v's of a DF are estimated so that $F = \frac { S S _ { \text {between } } } { S S _ { \text {within } } }$ is minimized.