Question 1

Multidimensional scaling is a statistical technique that locates objects in multidimensional space on the basis of measures of the similarity of objects.

Accepted Answer

A) True 
 B)False  True

Question 2

One of the purposes of dependence methods of analysis is to group things together.

Accepted Answer

A) True 
 B)False  False

Question 3

An n-way cross tabulation investigates the effect of several categorical variables on an interval-scaled dependent variable.

Accepted Answer

A) True 
 B)False  False

Question 4

Marketing problems are inherently uni-dimensional.

Accepted Answer

A) True 
 B)False

Question 5

In cluster analysis, each cluster should have low internal homogeneity and high external heterogeneity.

Accepted Answer

A) True 
 B)False

Question 6

Binary logistic regression is appropriate when the dependent variable and the independent variables are nonmetric.

Accepted Answer

A) True 
 B)False

Question 7

If the analysis contains one dependent variable that is metric and several independent variables that are metric, then the appropriate statistical analysis is:

Accepted Answer

A)  multiple discriminant analysis. 
B)  conjoint analysis. 
C)  binary logistic regression. 
D)  multiple regression analysis. 
A)  multiple discriminant analysis. 
B)  conjoint analysis. 
C)  binary logistic regression. 
D)  multiple regression analysis.

Question 8

When a multivariate statistical technique is used to predict a dependent variable from two or more independent variables, the researcher is studying:

Accepted Answer

A)  dependence. 
B)  independence. 
C)  interdependence. 
D)  interrelatedness. 
A)  dependence. 
B)  independence. 
C)  interdependence. 
D)  interrelatedness.

Question 9

If the analysis contains several independent variables that are nonmetric and a dependent variable that is metric, then the appropriate statistical technique is:

Accepted Answer

A)  multiple regression analysis. 
B)  multiple discriminant analysis. 
C)  conjoint analysis. 
D)  n-way univariate ANOVA. 
A)  multiple regression analysis. 
B)  multiple discriminant analysis. 
C)  conjoint analysis. 
D)  n-way univariate ANOVA.

Question 10

A problem in multiple regression when the independent variables are correlated with each other, causing the parameters estimates to be unreliable is called:

Accepted Answer

A)  multi-collinearity 
B)  interdependence. 
C)  causality. 
D)  prediction. 
A)  multi-collinearity 
B)  interdependence. 
C)  causality. 
D)  prediction.

Question 11

The most common interdependence methods include exploratory factor analysis.

Accepted Answer

A) True 
 B)False

Question 12

Which of the following multivariate methods' goals is to achieve parsimony?

Accepted Answer

A)  Multidimensional scaling 
B)  Factor analysis 
C)  Cluster analysis 
D)  Discriminant analysis 
A)  Multidimensional scaling 
B)  Factor analysis 
C)  Cluster analysis 
D)  Discriminant analysis

Question 13

Which of the following is an appropriate statistical technique to use in order to uncover the effect of several categorical variables on an interval-scaled dependent variable?

Accepted Answer

A)  Logistic regression 
B)  Partial correlation 
C)  n-way crosstabulation 
D)  n-way analysis of variance 
A)  Logistic regression 
B)  Partial correlation 
C)  n-way crosstabulation 
D)  n-way analysis of variance

Question 14

A variable that is coded as either zero or one and has two distinct levels is called a(n):

Accepted Answer

A)  regression variable. 
B)  dummy variable. 
C)  continuous variable. 
D)  eigenvalue. 
A)  regression variable. 
B)  dummy variable. 
C)  continuous variable. 
D)  eigenvalue.

Question 15

When several independent variables are highly correlated with each other, the effect is known as:

Accepted Answer

A)  parsimony. 
B)  multicollinearity. 
C)  communality. 
D)  partiality. 
A)  parsimony. 
B)  multicollinearity. 
C)  communality. 
D)  partiality.

Question 16

In factor analysis, the factor scores are a measure of the importance of each variable used to measure each factor.

Accepted Answer

A) True 
 B)False

Question 17

n-way analysis of variance:

Accepted Answer

A)  uncover the effects of several categorical variables on an interval-scaled dependent variable. 
B)  remove the effects of a third variable on the relationship between two ratio-scaled variables. 
C)  remove the effects of a third variable on the relationship between two nominal-scaled variables. 
D)  Investigate simultaneously the effects of several independent variables on a dependent variable. 
A)  uncover the effects of several categorical variables on an interval-scaled dependent variable. 
B)  remove the effects of a third variable on the relationship between two ratio-scaled variables. 
C)  remove the effects of a third variable on the relationship between two nominal-scaled variables. 
D)  Investigate simultaneously the effects of several independent variables on a dependent variable.

Question 18

In order to remove the effects of a third (or more) variable on the relationship between two interval- or ratio-scaled variables, which of the following techniques is appropriate?

Accepted Answer

A)  n-way analysis of variance 
B)  Partial correlation 
C)  Logistic regression 
D)  n-way cross tabulation 
A)  n-way analysis of variance 
B)  Partial correlation 
C)  Logistic regression 
D)  n-way cross tabulation

Question 19

Multivariate dependence methods include logistic regression.

Accepted Answer

A) True 
 B)False

Question 20

Binary logistic regression can be used to predict the probability that an individual belongs to one of two mutually exclusive groups.

Accepted Answer

A) True 
 B)False

Multidimensional scaling is a statistical technique that locates objects in multidimensional space on the basis of measures of the similarity of objects.

One of the purposes of dependence methods of analysis is to group things together.

An n-way cross tabulation investigates the effect of several categorical variables on an interval-scaled dependent variable.

Marketing problems are inherently uni-dimensional.

In cluster analysis, each cluster should have low internal homogeneity and high external heterogeneity.

Binary logistic regression is appropriate when the dependent variable and the independent variables are nonmetric.

If the analysis contains one dependent variable that is metric and several independent variables that are metric, then the appropriate statistical analysis is:

When a multivariate statistical technique is used to predict a dependent variable from two or more independent variables, the researcher is studying:

If the analysis contains several independent variables that are nonmetric and a dependent variable that is metric, then the appropriate statistical technique is:

A problem in multiple regression when the independent variables are correlated with each other, causing the parameters estimates to be unreliable is called:

The most common interdependence methods include exploratory factor analysis.

Which of the following multivariate methods' goals is to achieve parsimony?

Which of the following is an appropriate statistical technique to use in order to uncover the effect of several categorical variables on an interval-scaled dependent variable?

A variable that is coded as either zero or one and has two distinct levels is called a(n):

When several independent variables are highly correlated with each other, the effect is known as:

In factor analysis, the factor scores are a measure of the importance of each variable used to measure each factor.

n-way analysis of variance:

In order to remove the effects of a third (or more) variable on the relationship between two interval- or ratio-scaled variables, which of the following techniques is appropriate?

Multivariate dependence methods include logistic regression.

Binary logistic regression can be used to predict the probability that an individual belongs to one of two mutually exclusive groups.

The Role of Marketing Research and the Research Process

Problem Definition and the Research Process

Qualitative Research

Secondary Research and Big Data

Survey Research

Observation

Experimental Research and Test Marketing

Measurement

Questionnaire Design

Sampling: Sample Design and Sample Size

Data Preparation

Univariate Statistical Analysis: a Recap of Inferential Statistics

Bivariate Statistical Analysis: Tests of Differences

Bivariate Statistical Analysis: Tests of Association

Communicating Research Results: Research Report, Oral Presentation and Research Follow-Up

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Exam 15: Multivariate Statistical Analysis

Multidimensional scaling is a statistical technique that locates objects in multidimensional space on the basis of measures of the similarity of objects.

One of the purposes of dependence methods of analysis is to group things together.

An n-way cross tabulation investigates the effect of several categorical variables on an interval-scaled dependent variable.

Marketing problems are inherently uni-dimensional.

In cluster analysis, each cluster should have low internal homogeneity and high external heterogeneity.

Binary logistic regression is appropriate when the dependent variable and the independent variables are nonmetric.

If the analysis contains one dependent variable that is metric and several independent variables that are metric, then the appropriate statistical analysis is:

When a multivariate statistical technique is used to predict a dependent variable from two or more independent variables, the researcher is studying:

If the analysis contains several independent variables that are nonmetric and a dependent variable that is metric, then the appropriate statistical technique is:

A problem in multiple regression when the independent variables are correlated with each other, causing the parameters estimates to be unreliable is called:

The most common interdependence methods include exploratory factor analysis.

Which of the following multivariate methods' goals is to achieve parsimony?

Which of the following is an appropriate statistical technique to use in order to uncover the effect of several categorical variables on an interval-scaled dependent variable?

A variable that is coded as either zero or one and has two distinct levels is called a(n):

When several independent variables are highly correlated with each other, the effect is known as:

In factor analysis, the factor scores are a measure of the importance of each variable used to measure each factor.

n-way analysis of variance:

In order to remove the effects of a third (or more) variable on the relationship between two interval- or ratio-scaled variables, which of the following techniques is appropriate?

Multivariate dependence methods include logistic regression.

Binary logistic regression can be used to predict the probability that an individual belongs to one of two mutually exclusive groups.

The Role of Marketing Research and the Research Process

Problem Definition and the Research Process

Qualitative Research

Secondary Research and Big Data

Survey Research

Observation

Experimental Research and Test Marketing

Measurement

Questionnaire Design

Sampling: Sample Design and Sample Size

Data Preparation

Univariate Statistical Analysis: a Recap of Inferential Statistics

Bivariate Statistical Analysis: Tests of Differences

Bivariate Statistical Analysis: Tests of Association

Communicating Research Results: Research Report, Oral Presentation and Research Follow-Up

Filters