Question 1

_____ are simple correlations between the variables and the factors.

Accepted Answer

A)  Eigenvalues 
B)  Factor loadings 
C)  Principal components 
D)  Communalities 
E)  Betas 
A)  Eigenvalues 
B)  Factor loadings 
C)  Principal components 
D)  Communalities 
E)  Betas

Question 2

The most widely used structural equation modeling software program is _____.

Accepted Answer

A)  LISREL 
B)  EQS 
C)  Bartlett's VISIO 
D)  AMOS 
E)  JUMP 
A)  LISREL 
B)  EQS 
C)  Bartlett's VISIO 
D)  AMOS 
E)  JUMP

Question 3

Which of the following statistical techniques uses two or more independent,metric variables to classify observations into categories of a nominal,dependent variable?

Accepted Answer

A)  Factor analysis 
B)  Multivariate analysis of variance 
C)  Multiple regression 
D)  Multidimensional scaling 
E)  Discriminant analysis 
A)  Factor analysis 
B)  Multivariate analysis of variance 
C)  Multiple regression 
D)  Multidimensional scaling 
E)  Discriminant analysis

Question 4

What value in a regression equation indicates the level of influence X exerts on Y?

Accepted Answer

A)    
B)  Y 
C)    
D)    
E)  F test 
A)    
B)  Y 
C)    
D)    
E)  F test

Question 5

All of the following types of techniques are useful for data reduction except _____.

Accepted Answer

A)  factor analysis 
B)  multivariate analysis of variance 
C)  cluster analysis 
D)  multidimensional scaling 
E)  all are useful for data reduction 
A)  factor analysis 
B)  multivariate analysis of variance 
C)  cluster analysis 
D)  multidimensional scaling 
E)  all are useful for data reduction

Question 6

How does a research analyst determine on which factor a variable is loading?

Accepted Answer

A)  By the p value 
B)  By assessing the eigenvalues 
C)  By identifying the highest factor loading 
D)  By rotating the correlation matrix 
E)  all of the above 
A)  By the p value 
B)  By assessing the eigenvalues 
C)  By identifying the highest factor loading 
D)  By rotating the correlation matrix 
E)  all of the above

Question 7

Which technique is useful for discovering patterns among the variables in order to determine if an underlying combination of the original variables can summarize the original set?

Accepted Answer

A)  Multidimensional scaling 
B)  Factor analysis 
C)  Conjoint analysis 
D)  Discriminant analysis 
E)  MANOVA 
A)  Multidimensional scaling 
B)  Factor analysis 
C)  Conjoint analysis 
D)  Discriminant analysis 
E)  MANOVA

Question 8

The mean scores in a MANOVA are called _____.

Accepted Answer

A)  mu 
B)  centroids 
C)  ku 
D)  lambda 
E)  beta 
A)  mu 
B)  centroids 
C)  ku 
D)  lambda 
E)  beta

Question 9

Which approach to cluster analysis involves evaluating the distance between two clusters by first finding the geometric center of each cluster and then computing distances between the two centers?

Accepted Answer

A)  Euclidean distance 
B)  Average linkage method 
C)  Maximum likelihood method 
D)  Principal components analysis 
E)  Varimax approach 
A)  Euclidean distance 
B)  Average linkage method 
C)  Maximum likelihood method 
D)  Principal components analysis 
E)  Varimax approach

Question 10

Which of the following statistical techniques identifies patterns underlying combinations of the original variables capable of summarizing the original set?

Accepted Answer

A)  Factor analysis 
B)  Multivariate analysis of variance 
C)  Cluster analysis 
D)  Multidimensional scaling 
E)  Discriminant analysis 
A)  Factor analysis 
B)  Multivariate analysis of variance 
C)  Cluster analysis 
D)  Multidimensional scaling 
E)  Discriminant analysis

Question 11

Which of the following statements is not an objective of discriminant analysis?

Accepted Answer

A)  Examination of whether significant differences exist among the groups, in terms of the criterion variables 
B)  Determination of which predictor variables contribute to most of the intergroup differences 
C)  Classification of cases to one of the groups based on the values of the predictor variables 
D)  Evaluation of the accuracy of classification 
E)  All of the above are objectives of discriminant analysis 
A)  Examination of whether significant differences exist among the groups, in terms of the criterion variables 
B)  Determination of which predictor variables contribute to most of the intergroup differences 
C)  Classification of cases to one of the groups based on the values of the predictor variables 
D)  Evaluation of the accuracy of classification 
E)  All of the above are objectives of discriminant analysis

Question 12

_____ is a regression procedure in which the predictor variables enter or leave the regression equation one at a time.

Accepted Answer

A)  Forward selection 
B)  Backward elimination 
C)  Stepwise selection 
D)  Ad hoc selection 
E)  Random elimination 
A)  Forward selection 
B)  Backward elimination 
C)  Stepwise selection 
D)  Ad hoc selection 
E)  Random elimination

Question 13

What is reflected by the adjusted R2?

Accepted Answer

A)  The standard error of the model 
B)  The significance of the equation 
C)  The number of variables used in the model 
D)  The model's goodness of fit 
E)  The analysis of variance 
A)  The standard error of the model 
B)  The significance of the equation 
C)  The number of variables used in the model 
D)  The model's goodness of fit 
E)  The analysis of variance

Question 14

In which of the following situations could a research analyst use discriminant analysis?

Accepted Answer

A)  A real estate development company wants to estimate the probable sales of construction services on the basis of marriage rates, population movement in the region, and interest rates on construction loans 
B)  A psychologist wants to understand the underlying personality factors associated with materialism in consumers 
C)  An airline wants to classify its customers into groups based on their relative profitability 
D)  The brand manager for Tide laundry detergent wants to understand how consumers perceive Tide relative to other laundry detergents 
E)  A retail store wants to determine if there are differences in shopping frequency associated with gender 
A)  A real estate development company wants to estimate the probable sales of construction services on the basis of marriage rates, population movement in the region, and interest rates on construction loans 
B)  A psychologist wants to understand the underlying personality factors associated with materialism in consumers 
C)  An airline wants to classify its customers into groups based on their relative profitability 
D)  The brand manager for Tide laundry detergent wants to understand how consumers perceive Tide relative to other laundry detergents 
E)  A retail store wants to determine if there are differences in shopping frequency associated with gender

Question 15

What type of data is used with conjoint analysis?

Accepted Answer

A)  Interval 
B)  Ratio 
C)  Metric 
D)  Nonmetric 
E)  All of the above 
A)  Interval 
B)  Ratio 
C)  Metric 
D)  Nonmetric 
E)  All of the above

Question 16

A score in conjoint analysis used to represent each aspect of a product or service in a participant's overall preference ratings is called a _____ score.

Accepted Answer

A)  Z 
B)  error 
C)  factor 
D)  utility 
E)  mean 
A)  Z 
B)  error 
C)  factor 
D)  utility 
E)  mean

Question 17

It is recommended that the factors extracted should account for at least _____% of the total variance of the original set of variables.

Accepted Answer

A)  50 
B)  60 
C)  70 
D)  80 
E)  90 
A)  50 
B)  60 
C)  70 
D)  80 
E)  90

Question 18

_____ is a technique that attempts to determine the relative importance consumers attach to salient attributes and the utilities they attach to the levels of attributes.

Accepted Answer

A)  Discriminant analysis 
B)  Regression 
C)  MANOVA 
D)  Conjoint analysis 
E)  Factor analysis 
A)  Discriminant analysis 
B)  Regression 
C)  MANOVA 
D)  Conjoint analysis 
E)  Factor analysis

Question 19

Which statistical technique identifies homogeneous subgroups of study objects or participants and then studies the data by those subgroups?

Accepted Answer

A)  Multiple regression 
B)  Cluster analysis 
C)  Discriminant analysis 
D)  Factor analysis 
E)  Multidimensional scaling 
A)  Multiple regression 
B)  Cluster analysis 
C)  Discriminant analysis 
D)  Factor analysis 
E)  Multidimensional scaling

Question 20

In which of the following situations could a research analyst use multiple regression?

Accepted Answer

A)  A real estate development company wants to estimate the probable sales of construction services on the basis of marriage rates, population movement in the region, and interest rates on construction loans 
B)  A psychologist wants to understand the underlying personality factors associated with materialism in consumers 
C)  A firm wants to identify segments of the market to pursue 
D)  The brand manager for Tide laundry detergent wants to understand how consumers perceive Tide relative to other laundry detergents 
E)  All of the above 
A)  A real estate development company wants to estimate the probable sales of construction services on the basis of marriage rates, population movement in the region, and interest rates on construction loans 
B)  A psychologist wants to understand the underlying personality factors associated with materialism in consumers 
C)  A firm wants to identify segments of the market to pursue 
D)  The brand manager for Tide laundry detergent wants to understand how consumers perceive Tide relative to other laundry detergents 
E)  All of the above

Exam 19: Multivariate Analysis: An Overview

_____ are simple correlations between the variables and the factors.

The most widely used structural equation modeling software program is _____.

Which of the following statistical techniques uses two or more independent,metric variables to classify observations into categories of a nominal,dependent variable?

What value in a regression equation indicates the level of influence X exerts on Y?

All of the following types of techniques are useful for data reduction except _____.

How does a research analyst determine on which factor a variable is loading?

Which technique is useful for discovering patterns among the variables in order to determine if an underlying combination of the original variables can summarize the original set?

The mean scores in a MANOVA are called _____.

Which approach to cluster analysis involves evaluating the distance between two clusters by first finding the geometric center of each cluster and then computing distances between the two centers?

Which of the following statistical techniques identifies patterns underlying combinations of the original variables capable of summarizing the original set?

Which of the following statements is not an objective of discriminant analysis?

_____ is a regression procedure in which the predictor variables enter or leave the regression equation one at a time.

What is reflected by the adjusted R2?

In which of the following situations could a research analyst use discriminant analysis?

What type of data is used with conjoint analysis?

A score in conjoint analysis used to represent each aspect of a product or service in a participant's overall preference ratings is called a _____ score.

It is recommended that the factors extracted should account for at least _____% of the total variance of the original set of variables.

_____ is a technique that attempts to determine the relative importance consumers attach to salient attributes and the utilities they attach to the levels of attributes.

Which statistical technique identifies homogeneous subgroups of study objects or participants and then studies the data by those subgroups?

In which of the following situations could a research analyst use multiple regression?

Research in Business

Ethics in Business Research

Thinking Like a Researcher

The Research Process: an Overview

Clarifying the Research Question Through Secondary Data and Exploration

Research Design: An Overview

Qualitative Research

Observation Studies

Experiments

Surveys

Measurement

Measurement Scales

Questionnaires and Instruments

Sampling

Data Preparation and Description

Exploring, Displaying, and Examining Data

Hypothesis Testing

Measures of Association

Presenting Insights and Findings: Written Reports

Presenting Insights and Findings: Oral Presentations

Filters

What is reflected by the adjusted R²?