Question 1

____________________ predicts several dependent variables by using several independent variables.

Accepted Answer

Multivaria

Question 2

Which of the following suggests problems with multicollinearity?

Accepted Answer

A) VIF > 5.0 
B) β  0.8 
D) α > 0.8 
A) VIF > 5.0 
B) β  0.8 
D) α > 0.8

Question 3

All of the following are examples of interdependence methods of analysis EXCEPT:

Accepted Answer

A) factor analysis 
B) cluster analysis 
C) multidimensional scaling 
D) conjoint analysis 
A) factor analysis 
B) cluster analysis 
C) multidimensional scaling 
D) conjoint analysis

Question 4

Multicollinearity in regression analysis refers to how strongly interrelated the independent variables in a model are.

Accepted Answer

A) True 
 B)False

Question 5

In cluster analysis,the researcher wants clusters to have high ____ within-clusters and high between-cluster ____.

Accepted Answer

A) independence;dependence 
B) significance;insignificance 
C) heterogeneity;homogeneity 
D) homogeneity;heterogeneity 
A) independence;dependence 
B) significance;insignificance 
C) heterogeneity;homogeneity 
D) homogeneity;heterogeneity

Question 6

The two basic groups of multivariate techniques are:

Accepted Answer

A) dependence methods and interdependence methods 
B) primary methods and secondary methods 
C) simple methods and complex methods 
D) partial methods and complete methods 
A) dependence methods and interdependence methods 
B) primary methods and secondary methods 
C) simple methods and complex methods 
D) partial methods and complete methods

Question 7

Compare and contrast dependence and interdependence techniques.List the statistical techniques for both.

Accepted Answer

When hypotheses involve distinction betw

Question 8

Which of the following is an appropriate technique when the inputs are metric?

Accepted Answer

A) cluster analysis 
B) metric multidimensional scaling 
C) factor analysis 
D) all of the above 
A) cluster analysis 
B) metric multidimensional scaling 
C) factor analysis 
D) all of the above

Question 9

Mulitvariate dependence techniques are variants of the general linear model (GLM).

Accepted Answer

A) True 
 B)False

Question 10

Multivariate statistical analysis permit the researcher to consider the effects of three or more variables at the same time.

Accepted Answer

A) True 
 B)False

Question 11

The test used to test statistical significance by comparing variation explained by the regression equation to the residual error variation is the ____________________.

Accepted Answer

The answer of The test used to test statistical significance...

Question 12

Which of the following is a dependence method of analysis?

Accepted Answer

A) structural equations modeling 
B) multiple regression analysis 
C) multiple discriminant analysis 
D) all of the above 
A) structural equations modeling 
B) multiple regression analysis 
C) multiple discriminant analysis 
D) all of the above

Question 13

A mathematical way of simplifying factor results is ____________________.

Accepted Answer

The answer of A mathematical way of simplifying factor results...

Question 14

In a regression equation,the beta coefficients indicate the effect on the dependent variable of a 1-unit increase in any of the independent variables.

Accepted Answer

A) True 
 B)False

Question 15

If the analysis predicts several continuous dependent variables with several categorical independent variables,the appropriate statistical technique is:

Accepted Answer

A) multiple regression 
B) multiple discriminant analysis 
C) conjoint analysis 
D) MANOVA 
A) multiple regression 
B) multiple discriminant analysis 
C) conjoint analysis 
D) MANOVA

Question 16

The most common rule for extracting factors in factor analysis is to base the number of factors on the number of eigenvalues greater than 5.0

Accepted Answer

A) True 
 B)False

Question 17

Structural equations modeling (SEM)allows a researcher to build and test a theory represented by a series of regression equations,each involving single item measures,that are solved simultaneously.

Accepted Answer

A) True 
 B)False

Question 18

Several dummy variables can be included in a regression model.

Accepted Answer

A) True 
 B)False

Question 19

A statistical technique that measures objects in multidimensional space on the basis of respondents' judgments of the similarity of objects is ____________________.

Accepted Answer

multidimen

Question 20

Explain how MANOVA models differ from ANOVA models.

Accepted Answer

An ANOVA or MANOVA model represent a for

Exam 24: Introducing Multivariate Statistical Analysis

____________________ predicts several dependent variables by using several independent variables.

Which of the following suggests problems with multicollinearity?

All of the following are examples of interdependence methods of analysis EXCEPT:

Multicollinearity in regression analysis refers to how strongly interrelated the independent variables in a model are.

In cluster analysis,the researcher wants clusters to have high ____ within-clusters and high between-cluster ____.

The two basic groups of multivariate techniques are:

Compare and contrast dependence and interdependence techniques.List the statistical techniques for both.

Which of the following is an appropriate technique when the inputs are metric?

Mulitvariate dependence techniques are variants of the general linear model (GLM).

Multivariate statistical analysis permit the researcher to consider the effects of three or more variables at the same time.

The test used to test statistical significance by comparing variation explained by the regression equation to the residual error variation is the ____________________.

Which of the following is a dependence method of analysis?

A mathematical way of simplifying factor results is ____________________.

In a regression equation,the beta coefficients indicate the effect on the dependent variable of a 1-unit increase in any of the independent variables.

If the analysis predicts several continuous dependent variables with several categorical independent variables,the appropriate statistical technique is:

The most common rule for extracting factors in factor analysis is to base the number of factors on the number of eigenvalues greater than 5.0

Structural equations modeling (SEM)allows a researcher to build and test a theory represented by a series of regression equations,each involving single item measures,that are solved simultaneously.

Several dummy variables can be included in a regression model.

A statistical technique that measures objects in multidimensional space on the basis of respondents' judgments of the similarity of objects is ____________________.

Explain how MANOVA models differ from ANOVA models.

The Role of Marketing Research

Information Systems and Knowledge Management

The Marketing Research Process

The Human Side of Marketing Research: Organizational and Ethical Issues

Problem Definition: Jump-Starting the Research Process

Qualitative Research Tools

Secondary Data Research in a Digital Age

Survey Research: an Overview

Survey Research: Basic Methods of Communication With Respondents

Observation

Experimental Research: An Overview

Test Markets and Experimental Design

Measurement

Attitude Measurement

Questionnaire Design

Sampling Designs and Sampling Procedures

Determination of Sample Size: A Review of Statistical Theory

Fieldwork

Editing and Coding: Transforming Raw Data Into Information

Basic Data Analysis: Descriptive Statistics

Univariate Statistical Analysis

Bivariate Statistical Analysis: Differences Between Two Variables

Bivariate Statistical Analysis: Measures of Association

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

Filters

In cluster analysis,the researcher wants clusters to have high within-clusters and high between-cluster .