Question 1

Explain when and how a researcher would go about conducting a factor analysis.

Accepted Answer

Factor analysis is useful for reducing d

Question 2

Jack is performing a factor analysis on twenty items relevant to perceptions of service quality.Using a principal components approach,the following eigenvalues were produced: 3.45,2.78,1.33,1.24,1.01,.567,.443,and .223.How many factors should Jack retain based on these eigenvalues?

Accepted Answer

A)  1 
B)  2 
C)  3 
D)  5 
E)  8 
A)  1 
B)  2 
C)  3 
D)  5 
E)  8

Question 3

An examination of differences across groups lies at the heart of the basic concept of _____.

Accepted Answer

A)  regression analysis 
B)  discriminant analysis 
C)  conjoint analysis 
D)  factor analysis 
E)  structural equations modeling 
A)  regression analysis 
B)  discriminant analysis 
C)  conjoint analysis 
D)  factor analysis 
E)  structural equations modeling

Question 4

SEM relies upon _____ to present predictive and associative relationships among constructs and indicators in a model.

Accepted Answer

A)  scatterplots 
B)  path diagrams 
C)  boxplots 
D)  pie charts 
E)  Pareto diagrams 
A)  scatterplots 
B)  path diagrams 
C)  boxplots 
D)  pie charts 
E)  Pareto diagrams

Question 5

Which statistical technique uses analysis of covariance structures to explain causality among constructs?

Accepted Answer

A)  Regression analysis 
B)  Factor analysis 
C)  Discriminant analysis 
D)  MANOVA 
E)  Structural equation modeling 
A)  Regression analysis 
B)  Factor analysis 
C)  Discriminant analysis 
D)  MANOVA 
E)  Structural equation modeling

Question 6

At what level does the VIF index suggest the presence of collinearity?

Accepted Answer

A)  10 
B)  20 
C)  40 
D)  50 
E)  80 
A)  10 
B)  20 
C)  40 
D)  50 
E)  80

Question 7

_____ variables are nominal variables that may be used as predictors or independent variables in regression analysis by coding them with the values 0 and 1.

Accepted Answer

A)  Interval 
B)  Categorical 
C)  Coefficient 
D)  Dummy 
E)  Beta 
A)  Interval 
B)  Categorical 
C)  Coefficient 
D)  Dummy 
E)  Beta

Question 8

Which of the following statements is false?

Accepted Answer

A)  In cluster analysis, objects in each cluster tend to be similar to each other and dissimilar to objects in the other clusters 
B)  Cluster analysis is also called classification analysis or numerical taxonomy 
C)  Groups or clusters are suggested by the data, not defined a priori 
D)  Cluster analysis is appropriate when the criterion or dependent variable is categorical and the independent variables are interval 
E)  All of the above are true 
A)  In cluster analysis, objects in each cluster tend to be similar to each other and dissimilar to objects in the other clusters 
B)  Cluster analysis is also called classification analysis or numerical taxonomy 
C)  Groups or clusters are suggested by the data, not defined a priori 
D)  Cluster analysis is appropriate when the criterion or dependent variable is categorical and the independent variables are interval 
E)  All of the above are true

Question 9

Multiple regression is a statistical technique that _____.

Accepted Answer

A)  identifies homogeneous subgroups 
B)  identifies patterns underlying combinations of the original variables capable of summarizing the original set 
C)  develops a perceptual map of the locations of some objects relative to others 
D)  predicts or explains the value for a dependent variable using the values of independent variables 
E)  uses two or more independent, metric variables to classify observations into categories of a nominal, dependent variable 
A)  identifies homogeneous subgroups 
B)  identifies patterns underlying combinations of the original variables capable of summarizing the original set 
C)  develops a perceptual map of the locations of some objects relative to others 
D)  predicts or explains the value for a dependent variable using the values of independent variables 
E)  uses two or more independent, metric variables to classify observations into categories of a nominal, dependent variable

Question 10

The amount of variance a variable shares with all other variables included in the factor analysis is referred to as _____.

Accepted Answer

A)  communality 
B)  total variance 
C)  shared variance 
D)  percentage of variance 
E)  eigenvalue 
A)  communality 
B)  total variance 
C)  shared variance 
D)  percentage of variance 
E)  eigenvalue

Question 11

Which statistical technique examines differences between groups by simultaneously testing all dependent variables and their interrelationships?

Accepted Answer

A)  Cross-tabulation 
B)  MANOVA 
C)  ANOVA 
D)  Multiple regression 
E)  Factor analysis 
A)  Cross-tabulation 
B)  MANOVA 
C)  ANOVA 
D)  Multiple regression 
E)  Factor analysis

Question 12

In multidimensional scaling,the _____ is a lack of fit measure; higher values indicate poorer fits.

Accepted Answer

A)  beta weight 
B)  stress index 
C)  R2 
D)  X2 
E)  factor loading 
A)  beta weight 
B)  stress index 
C)  R2 
D)  X2 
E)  factor loading

Question 13

The technique used to provide a more simple and interpretable picture of the relationships between factors and variables is called _____.

Accepted Answer

A)  rotation 
B)  regression 
C)  resistance 
D)  principal components 
E)  residual analysis 
A)  rotation 
B)  regression 
C)  resistance 
D)  principal components 
E)  residual analysis

Question 14

Multidimensional scaling is a statistical technique that _____.

Accepted Answer

A)  identifies homogeneous subgroups 
B)  identifies patterns underlying combinations of the original variables capable of summarizing the original set 
C)  develops a perceptual map of the locations of some objects relative to others 
D)  predicts or explains the value for a dependent variable using the values of independent variables 
E)  uses two or more independent, metric variables to classify observations into categories of a nominal, dependent variable 
A)  identifies homogeneous subgroups 
B)  identifies patterns underlying combinations of the original variables capable of summarizing the original set 
C)  develops a perceptual map of the locations of some objects relative to others 
D)  predicts or explains the value for a dependent variable using the values of independent variables 
E)  uses two or more independent, metric variables to classify observations into categories of a nominal, dependent variable

Explain when and how a researcher would go about conducting a factor analysis.

Jack is performing a factor analysis on twenty items relevant to perceptions of service quality.Using a principal components approach,the following eigenvalues were produced: 3.45,2.78,1.33,1.24,1.01,.567,.443,and .223.How many factors should Jack retain based on these eigenvalues?

An examination of differences across groups lies at the heart of the basic concept of _____.

SEM relies upon _____ to present predictive and associative relationships among constructs and indicators in a model.

Which statistical technique uses analysis of covariance structures to explain causality among constructs?

At what level does the VIF index suggest the presence of collinearity?

_____ variables are nominal variables that may be used as predictors or independent variables in regression analysis by coding them with the values 0 and 1.

Which of the following statements is false?

Multiple regression is a statistical technique that _____.

The amount of variance a variable shares with all other variables included in the factor analysis is referred to as _____.

Which statistical technique examines differences between groups by simultaneously testing all dependent variables and their interrelationships?

In multidimensional scaling,the _____ is a lack of fit measure; higher values indicate poorer fits.

The technique used to provide a more simple and interpretable picture of the relationships between factors and variables is called _____.

Multidimensional scaling is a statistical technique that _____.

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

Exam 19: Multivariate Analysis: An Overview

Explain when and how a researcher would go about conducting a factor analysis.

Jack is performing a factor analysis on twenty items relevant to perceptions of service quality.Using a principal components approach,the following eigenvalues were produced: 3.45,2.78,1.33,1.24,1.01,.567,.443,and .223.How many factors should Jack retain based on these eigenvalues?

An examination of differences across groups lies at the heart of the basic concept of _____.

SEM relies upon _____ to present predictive and associative relationships among constructs and indicators in a model.

Which statistical technique uses analysis of covariance structures to explain causality among constructs?

At what level does the VIF index suggest the presence of collinearity?

_____ variables are nominal variables that may be used as predictors or independent variables in regression analysis by coding them with the values 0 and 1.

Which of the following statements is false?

Multiple regression is a statistical technique that _____.

The amount of variance a variable shares with all other variables included in the factor analysis is referred to as _____.

Which statistical technique examines differences between groups by simultaneously testing all dependent variables and their interrelationships?

In multidimensional scaling,the _____ is a lack of fit measure; higher values indicate poorer fits.

The technique used to provide a more simple and interpretable picture of the relationships between factors and variables is called _____.

Multidimensional scaling is a statistical technique that _____.

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