Question 1

Which multivariate analysis statistically identifies a reduced number of factors from a larger number of measured variables?

Accepted Answer

A) factor analysis 
B) regression 
C) discriminant analysis 
D) logit analysis 
A) factor analysis 
B) regression 
C) discriminant analysis 
D) logit analysis A

Question 2

MANOVA predicts multiple continuous dependent variables with multiple continuous independent variables.

Accepted Answer

A) True 
 B)False  False

Question 3

The variate is a mathematical way in which a set of variables can be represented with one equation.

Accepted Answer

A) True 
 B)False  True

Question 4

In the formula,n - k - 1 stands for:

Accepted Answer

A) the degrees of freedom of the numerator 
B) the number of observations 
C) the degrees of freedom of the denominator 
D) the number of independent variables 
A) the degrees of freedom of the numerator 
B) the number of observations 
C) the degrees of freedom of the denominator 
D) the number of independent variables

Question 5

General Mills would like to "see" a picture of how its brands are perceived by consumers compared to competitive brands.Which statistical technique can measure brands in multidimensional space on the basis of respondents' judgements of the similarity of the brands?

Accepted Answer

A) structural equations modeling 
B) factor analysis 
C) multidimensional scaling 
D) partial positioning 
A) structural equations modeling 
B) factor analysis 
C) multidimensional scaling 
D) partial positioning

Question 6

Multivariate dependence techniques are variants of the ____________________.

Accepted Answer

general li

Question 7

Explain why and how a marketing researcher uses factor analysis.

Accepted Answer

Factor analysis is a prototypical multiv

Question 8

In multiple regression,the coefficient of multiple determination indicates the percentage of the variation in Y that can be explained by all independent variables.

Accepted Answer

A) True 
 B)False

Question 9

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

Accepted Answer

A) True 
 B)False

Question 10

Which of the following is an example of an interdependence analysis method?

Accepted Answer

A) multidimensional scaling 
B) multiple regression analysis 
C) conjoint analysis 
D) all of the above 
A) multidimensional scaling 
B) multiple regression analysis 
C) conjoint analysis 
D) all of the above

Question 11

In factor analysis,"communality" is a measure of the percentage of a variable's variation that can be explained by the factors.

Accepted Answer

A) True 
 B)False

Question 12

Multidimensional scaling is a type of interdependence method.

Accepted Answer

A) True 
 B)False

Question 13

In the following formula,k stands for:

Accepted Answer

A) the number of observations 
B) the degrees of freedom of the denominator 
C) the number of independent variables 
D) the sample size 
A) the number of observations 
B) the degrees of freedom of the denominator 
C) the number of independent variables 
D) the sample size

Question 14

The two types of multivariate techniques are ____________________ methods and ____________________ methods.

Accepted Answer

dependence

Question 15

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

Accepted Answer

A) dependence 
B) independence 
C) interdependence 
D) segments 
A) dependence 
B) independence 
C) interdependence 
D) segments

Question 16

In multiple regression,the dependent variable must be continuous and interval-scaled.

Accepted Answer

A) True 
 B)False

Question 17

Multivariate techniques that try to group things together are known as ____________________ methods.

Accepted Answer

The answer of Multivariate techniques that try to group things...

Question 18

Mulitvariate dependence techniques are variants of the ____,which is a way of modeling some process based on how different variables cause fluctuations from the average dependent variable.

Accepted Answer

A) ordinary linear model (OLM) 
B) weighted average model (WAM) 
C) general linear model (GLM) 
D) metric scaling model (MSM) 
A) ordinary linear model (OLM) 
B) weighted average model (WAM) 
C) general linear model (GLM) 
D) metric scaling model (MSM)

Question 19

Which of the following is computed by most regression programs and provide an indication of how much multicollinearity exists among a set of independent variables?

Accepted Answer

A) χ² 
B) β 
C) collinear coefficient 
D) variance inflation factor (VIF) 
A) χ² 
B) β 
C) collinear coefficient 
D) variance inflation factor (VIF)

Question 20

If the regression equation is: Y = 98.3 +.35X₁ + 22.3X₂,the predicted value for Y when X₁ = 3 and X₂ = 5 is:

Accepted Answer

A) 118.45 
B) 210.85 
C) 67.23 
D) 98.3 
A) 118.45 
B) 210.85 
C) 67.23 
D) 98.3

Exam 24: Introducing Multivariate Statistical Analysis

Which multivariate analysis statistically identifies a reduced number of factors from a larger number of measured variables?

MANOVA predicts multiple continuous dependent variables with multiple continuous independent variables.

The variate is a mathematical way in which a set of variables can be represented with one equation.

In the formula,n - k - 1 stands for:

General Mills would like to "see" a picture of how its brands are perceived by consumers compared to competitive brands.Which statistical technique can measure brands in multidimensional space on the basis of respondents' judgements of the similarity of the brands?

Multivariate dependence techniques are variants of the ____________________.

Explain why and how a marketing researcher uses factor analysis.

In multiple regression,the coefficient of multiple determination indicates the percentage of the variation in Y that can be explained by all independent variables.

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

Which of the following is an example of an interdependence analysis method?

In factor analysis,"communality" is a measure of the percentage of a variable's variation that can be explained by the factors.

Multidimensional scaling is a type of interdependence method.

In the following formula,k stands for:

The two types of multivariate techniques are ____________________ methods and ____________________ methods.

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

In multiple regression,the dependent variable must be continuous and interval-scaled.

Multivariate techniques that try to group things together are known as ____________________ methods.

Mulitvariate dependence techniques are variants of the ____,which is a way of modeling some process based on how different variables cause fluctuations from the average dependent variable.

Which of the following is computed by most regression programs and provide an indication of how much multicollinearity exists among a set of independent variables?

If the regression equation is: Y = 98.3 +.35X₁ + 22.3X₂,the predicted value for Y when X₁ = 3 and X₂ = 5 is:

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

The two types of multivariate techniques are methods and methods.