Question 1

As a rough guideline,there should be at least ________ times as many observations (sample size)as there are variables.

Accepted Answer

A)  two or three 
B)  three or four 
C)  four or five 
D)  five or six 
A)  two or three 
B)  three or four 
C)  four or five 
D)  five or six

Question 2

Factor analysis can be used in which of the following circumstances?

Accepted Answer

A)  To identify a smaller set of salient variables from a larger set for use in subsequent multivariate analysis. 
B)  To identify a new,smaller set of uncorrelated variables to replace the original set of correlated variables in subsequent multivariate analysis. 
C)  To identify underlying dimensions,or factors,that explain the correlations among a set of variables. 
D)  All are correct circumstances. 
A)  To identify a smaller set of salient variables from a larger set for use in subsequent multivariate analysis. 
B)  To identify a new,smaller set of uncorrelated variables to replace the original set of correlated variables in subsequent multivariate analysis. 
C)  To identify underlying dimensions,or factors,that explain the correlations among a set of variables. 
D)  All are correct circumstances.

Question 3

Factor analysis does not classify variables as dependent or independent.

Accepted Answer

A) True 
 B)False

Question 4

The equation Xi = Ai1 F1 + Ai2 F2 + Ai3 F3 + ...+ Aim Fm + ViUi ,represents the common factors expressed as linear combinations of the observed variables.

Accepted Answer

A) True 
 B)False

Question 5

Bartlett's test of sphericity is one test of the appropriateness of the factor model.

Accepted Answer

A) True 
 B)False

Question 6

Factor analysis examines the whole set of interdependent relationships among variables.

Accepted Answer

A) True 
 B)False

Question 7

If the goal of factor analysis is to reduce the original set of variables to a smaller set of composite variables for use in subsequent multivariate analysis,it is useful to ________.

Accepted Answer

A)  compute factor scores for each respondent 
B)  compute discriminant scores for each respondent 
C)  select surrogate variables 
D)  both A and B are correct 
A)  compute factor scores for each respondent 
B)  compute discriminant scores for each respondent 
C)  select surrogate variables 
D)  both A and B are correct

Question 8

Factor analysis is a(n)________ in that the entire set of interdependent relationships is examined.

Accepted Answer

A)  KMO measure of sampling adequacy 
B)  orthogonal procedure 
C)  varimax procedure 
D)  interdependence technique 
A)  KMO measure of sampling adequacy 
B)  orthogonal procedure 
C)  varimax procedure 
D)  interdependence technique

Question 9

Factor loadings represent the correlations between sets of variables.

Accepted Answer

A) True 
 B)False

As a rough guideline,there should be at least ________ times as many observations (sample size)as there are variables.

Factor analysis can be used in which of the following circumstances?

Factor analysis does not classify variables as dependent or independent.

The equation X_i = A_i1 F₁ + A_i2 F₂ + Ai₃F₃ + ...+ Aim Fm + V_iUi ,represents the common factors expressed as linear combinations of the observed variables.

Bartlett's test of sphericity is one test of the appropriateness of the factor model.

Factor analysis examines the whole set of interdependent relationships among variables.

If the goal of factor analysis is to reduce the original set of variables to a smaller set of composite variables for use in subsequent multivariate analysis,it is useful to ________.

Factor analysis is a(n)________ in that the entire set of interdependent relationships is examined.

Factor loadings represent the correlations between sets of variables.

Introduction to Marketing Research

Defining the Marketing Research Problem and Developing an Approach

Research Design

Exploratory Research Design: Secondary Data

Exploratory Research Design: Qualitative Research

Descriptive Research Design: Survey and Observation

Casual Research Design: Experimentation

Measurement and Scaling: Fundamentals and Comparative Scaling

Measurement and Scaling: Non Comparative Scaling Techniques

Questionnaire and Form Design

Sampling: Design and Procedures

Sampling: Final and Initial Sample Size Determination

Fieldwork

Data Preparation

Frequency Distribution, cross-Tabulation, and Hypothesis Testing

Analysis of Variance and Covariance

Correlation and Regression

Discriminant and Logit Analysis

Cluster Analysis

Multidimensional Scaling and Conjoint Analysis

Structural Equation Modeling and Path Analysis

Report Preparation and Presentation

International Marketing Research

Filters

Exam 19: Factor Analysis

As a rough guideline,there should be at least ________ times as many observations (sample size)as there are variables.

Factor analysis can be used in which of the following circumstances?

Factor analysis does not classify variables as dependent or independent.

The equation Xi = Ai1 F1 + Ai2 F2 + Ai3 F3 + ...+ Aim Fm + ViUi ,represents the common factors expressed as linear combinations of the observed variables.

Bartlett's test of sphericity is one test of the appropriateness of the factor model.

Factor analysis examines the whole set of interdependent relationships among variables.

If the goal of factor analysis is to reduce the original set of variables to a smaller set of composite variables for use in subsequent multivariate analysis,it is useful to ________.

Factor analysis is a(n)________ in that the entire set of interdependent relationships is examined.

Factor loadings represent the correlations between sets of variables.

Introduction to Marketing Research

Defining the Marketing Research Problem and Developing an Approach

Research Design

Exploratory Research Design: Secondary Data

Exploratory Research Design: Qualitative Research

Descriptive Research Design: Survey and Observation

Casual Research Design: Experimentation

Measurement and Scaling: Fundamentals and Comparative Scaling

Measurement and Scaling: Non Comparative Scaling Techniques

Questionnaire and Form Design

Sampling: Design and Procedures

Sampling: Final and Initial Sample Size Determination

Fieldwork

Data Preparation

Frequency Distribution, cross-Tabulation, and Hypothesis Testing

Analysis of Variance and Covariance

Correlation and Regression

Discriminant and Logit Analysis

Cluster Analysis

Multidimensional Scaling and Conjoint Analysis

Structural Equation Modeling and Path Analysis

Report Preparation and Presentation

International Marketing Research

Filters

The equation X_i = A_i1 F₁ + A_i2 F₂ + Ai₃F₃ + ...+ Aim Fm + V_iUi ,represents the common factors expressed as linear combinations of the observed variables.