Question 1

Which statement is not true about principal components analysis (PCA)?

Accepted Answer

A)  The total variance in the data is considered. 
B)  The diagonal of the correlation matrix consist of unities. 
C)  The factors are estimated based only on the common variance. 
D)  PCA is recommended when the primary concern is to determine the minimum number of factors that will account for maximum variance in the data for use in subsequent multivariate analysis. 
A)  The total variance in the data is considered. 
B)  The diagonal of the correlation matrix consist of unities. 
C)  The factors are estimated based only on the common variance. 
D)  PCA is recommended when the primary concern is to determine the minimum number of factors that will account for maximum variance in the data for use in subsequent multivariate analysis. C

Question 2

________ should be used when factors in the population are likely to be strongly correlated.

Accepted Answer

A)  The varimax procedure 
B)  Orthogonal rotation 
C)  Oblique rotation 
D)  None of the above 
A)  The varimax procedure 
B)  Orthogonal rotation 
C)  Oblique rotation 
D)  None of the above C

Question 3

When using eigenvalues to determine the number of factors,only factors with eigenvalues greater than .05 are retained.

Accepted Answer

A) True 
 B)False  False

Question 4

Selecting surrogate variables works well if one factor loading for a variable is clearly higher than all other factor loadings.

Accepted Answer

A) True 
 B)False

Question 5

Factors can be estimated so that their factor scores are not correlated and the first factor accounts for the highest variance in the data,the second factor the second highest and so on.

Accepted Answer

A) True 
 B)False

Question 6

Factor analysis is somewhat similar to discriminant analysis in that each variable is expressed as a linear combination of underlying factors.

Accepted Answer

A) True 
 B)False

Question 7

When selecting variables to serve as surrogate variables,you should look for the variable with the highest loading on a factor.

Accepted Answer

A) True 
 B)False

Question 8

Which method of analysis does not classify variables as dependent or independent?

Accepted Answer

A)  discriminant analysis 
B)  regression analysis 
C)  analysis of variance 
D)  factor analysis 
A)  discriminant analysis 
B)  regression analysis 
C)  analysis of variance 
D)  factor analysis

Question 9

Which statement is not correct concerning factor scores?

Accepted Answer

A)  In principal components analysis it is possible to compute exact factor scores that are uncorrelated. 
B)  Factor scores can be used instead of the original variables in subsequent multivariate analysis. 
C)  In common factor analysis,estimates of factor scores are obtained,and there is no guarantee that factors will be uncorrelated with each other. 
D)  All statements are correct. 
A)  In principal components analysis it is possible to compute exact factor scores that are uncorrelated. 
B)  Factor scores can be used instead of the original variables in subsequent multivariate analysis. 
C)  In common factor analysis,estimates of factor scores are obtained,and there is no guarantee that factors will be uncorrelated with each other. 
D)  All statements are correct.

Question 10

The factor scores for the ith factor may be estimated as follows: ________.

Accepted Answer

A)  Fi = Wi1 X1 + Wi2 X2 + Wi3 Y3 + ...+ Wik Yk 
B)  Xi = Wi1 F1 + Wi2 F2 + Wi3 F3 + ...+ Wim Fm 
C)  Xi = Ai1 F1 + Ai2 F2 + Ai3 F3 + ...+ Aim Fm 
D)  Fi = Wi1 X1 + Wi2 X2 + Wi3 X3 + ...+ Wik Xk 
A)  Fi = Wi1 X1 + Wi2 X2 + Wi3 Y3 + ...+ Wik Yk 
B)  Xi = Wi1 F1 + Wi2 F2 + Wi3 F3 + ...+ Wim Fm 
C)  Xi = Ai1 F1 + Ai2 F2 + Ai3 F3 + ...+ Aim Fm 
D)  Fi = Wi1 X1 + Wi2 X2 + Wi3 X3 + ...+ Wik Xk

Question 11

Interpretation is facilitated by identifying the variables that have small loadings on the same factor.

Accepted Answer

A) True 
 B)False

Question 12

The variables to be included in the factor analysis should be specified based on past research,theory,and the judgment of the researcher.

Accepted Answer

A) True 
 B)False

Question 13

Only in the case of principal components analysis is it possible to compute exact factor scores.

Accepted Answer

A) True 
 B)False

Question 14

When selecting surrogate variables from variables with similarly high loadings,the choice should be based on ________.

Accepted Answer

A)  theoretical considerations 
B)  measurement considerations 
C)  Both A and B are correct 
D)  the variable with the highest loading on a factor 
A)  theoretical considerations 
B)  measurement considerations 
C)  Both A and B are correct 
D)  the variable with the highest loading on a factor

Question 15

What are the steps involved in conducting factor analysis (Figure 19.3 in the text)?

Accepted Answer

The steps involved in conducting factor

Question 16

Describe principal components analysis and common factor analysis and the differences between the two methods of factor analysis.

Accepted Answer

In principal components analysis,the tot

Question 17

For the factor analysis to be appropriate,the variables must be correlated.

Accepted Answer

A) True 
 B)False

Question 18

The various methods of factor analysis are differentiated by the approach used to derive the weights or factor score coefficients.

Accepted Answer

A) True 
 B)False

Question 19

List at least four of the procedures used for determining the number of factors.

Accepted Answer

∙ A Priori Determination
∙ Determination

Question 20

The percentage of the total variance attributed to each factor analysis model is called the percentage of variance.

Accepted Answer

A) True 
 B)False

Exam 19: Factor Analysis

Which statement is not true about principal components analysis (PCA)?

________ should be used when factors in the population are likely to be strongly correlated.

When using eigenvalues to determine the number of factors,only factors with eigenvalues greater than .05 are retained.

Selecting surrogate variables works well if one factor loading for a variable is clearly higher than all other factor loadings.

Factors can be estimated so that their factor scores are not correlated and the first factor accounts for the highest variance in the data,the second factor the second highest and so on.

Factor analysis is somewhat similar to discriminant analysis in that each variable is expressed as a linear combination of underlying factors.

When selecting variables to serve as surrogate variables,you should look for the variable with the highest loading on a factor.

Which method of analysis does not classify variables as dependent or independent?

Which statement is not correct concerning factor scores?

The factor scores for the ith factor may be estimated as follows: ________.

Interpretation is facilitated by identifying the variables that have small loadings on the same factor.

The variables to be included in the factor analysis should be specified based on past research,theory,and the judgment of the researcher.

Only in the case of principal components analysis is it possible to compute exact factor scores.

When selecting surrogate variables from variables with similarly high loadings,the choice should be based on ________.

What are the steps involved in conducting factor analysis (Figure 19.3 in the text)?

Describe principal components analysis and common factor analysis and the differences between the two methods of factor analysis.

For the factor analysis to be appropriate,the variables must be correlated.

The various methods of factor analysis are differentiated by the approach used to derive the weights or factor score coefficients.

List at least four of the procedures used for determining the number of factors.

The percentage of the total variance attributed to each factor analysis model is called the percentage of variance.

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

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