Question 1

In discriminant analysis, we can obtain some idea of the relative importance of the variables by ________.

Accepted Answer

A) examining the absolute magnitude of the standardized discriminant function coefficients 
B) examining the structure correlations, or canonical loadings or discriminant loadings 
C) examining the unstandardized discriminant function coefficients 
D) A and B are correct 
A) examining the absolute magnitude of the standardized discriminant function coefficients 
B) examining the structure correlations, or canonical loadings or discriminant loadings 
C) examining the unstandardized discriminant function coefficients 
D) A and B are correct D

Question 2

Discriminant analysis can be used to answer questions such as ________.

Accepted Answer

A) How much of the variation in sales can be explained by advertising expenditures, prices, and level of distribution? 
B) In terms of demographic characteristics, how do customers who exhibit store loyalty differ from those who do not? 
C) What are the distinguishing characteristics of consumers who respond to direct mail solicitations? 
D) Both B and C are correct. 
A) How much of the variation in sales can be explained by advertising expenditures, prices, and level of distribution? 
B) In terms of demographic characteristics, how do customers who exhibit store loyalty differ from those who do not? 
C) What are the distinguishing characteristics of consumers who respond to direct mail solicitations? 
D) Both B and C are correct. D

Question 3

The procedure that is used to estimate the parameters of the binary logit model is called the maximum likelihood method.

Accepted Answer

A) True 
 B)False  True

Question 4

The last step in conducting discriminant analysis is to interpret the results (Figure 18.2 in the text).

Accepted Answer

A) True 
 B)False

Question 5

The assumptions in discriminant analysis are that each of the groups is a sample from a ________ population and all of the populations have the same ________.

Accepted Answer

A) multivariate normal; standard deviation 
B) multivariate normal; covariance matrix 
C) multivariate normal; standard error 
D) multivariate normal; variance 
A) multivariate normal; standard deviation 
B) multivariate normal; covariance matrix 
C) multivariate normal; standard error 
D) multivariate normal; variance

Question 6

The hit ratio is the percentage of cases correctly classified by the discriminant analysis.

Accepted Answer

A) True 
 B)False

Question 7

The direct method is an approach to discriminant analysis that involves estimating the discriminant function so that all the predictors are included simultaneously.

Accepted Answer

A) True 
 B)False

Question 8

In multiple discriminant analysis, the interpretation of results is aided by an examination of all of the following except ________.

Accepted Answer

A) the standardized discriminant function coefficients 
B) the correlation coefficients 
C) the structure correlations 
D) certain plots 
A) the standardized discriminant function coefficients 
B) the correlation coefficients 
C) the structure correlations 
D) certain plots

Question 9

The linear combinations of independent variables developed by discriminant analysis that will best discriminate between the categories of the dependent variable are ________.

Accepted Answer

A) discriminant functions 
B) discriminant scores 
C) characteristic profiles 
D) classification matrix 
A) discriminant functions 
B) discriminant scores 
C) characteristic profiles 
D) classification matrix

Question 10

A characteristic profile is an aid to interpreting discriminant analysis results by describing each group in terms of the group means for the predictor variables..

Accepted Answer

A) True 
 B)False

Question 11

With the leave-one-out cross-validation option in SPSS, the discriminant model is re-estimated as many times as there are respondents in the sample.

Accepted Answer

A) True 
 B)False

Question 12

The stepwise discriminant analysis method is appropriate when, based on previous research or a theoretical model, the researcher wants the discrimination to be based on all the predictors.

Accepted Answer

A) True 
 B)False

Question 13

When the probability of success, P, is modeled using OLS regression, P is constrained to lie between 0 and 1.

Accepted Answer

A) True 
 B)False

Question 14

As one of the statistics associated with discriminant analysis, the ________ (unstandardized)are the multipliers of variables when the variables are in the original units of measurement.

Accepted Answer

A) Wilks' λ 
B) discriminant scores 
C) discriminant function coefficients 
D) eigenvalue 
A) Wilks' λ 
B) discriminant scores 
C) discriminant function coefficients 
D) eigenvalue

Question 15

If attitude towards the brand is measured on a seven-point scale from unfavorable to favorable, it could be categorized as unfavorable (1, 2, 3), neutral (4), or favorable (5, 6, 7).

Accepted Answer

A) True 
 B)False

Question 16

The Mahalanobis procedure is based on minimalizing a generalized measure of the distance between the two closest groups.

Accepted Answer

A) True 
 B)False

Question 17

Discriminant/logit analysis is similar to regression and ANOVA in which of the areas stated below (Table 18.1 in the text)?

Accepted Answer

A) number of dependent variables 
B) number of independent variables 
C) both A and B 
D) none of the above 
A) number of dependent variables 
B) number of independent variables 
C) both A and B 
D) none of the above

Question 18

An examination of differences across groups lies at the heart of the basic concept of ________.

Accepted Answer

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

Question 19

In discriminant analysis, the criterion or dependent variable is ________ and the predictor or independent variables are ________ in nature.

Accepted Answer

A) interval; categorical 
B) ordinal; interval 
C) categorical; interval 
D) ordinal; categorical 
A) interval; categorical 
B) ordinal; interval 
C) categorical; interval 
D) ordinal; categorical

Question 20

The binary logit model commonly deals with the issue of how likely an observation is to belong to each group. It estimates the probability of an observation belonging to a particular group

Accepted Answer

A) True 
 B)False

Exam 18: Discriminant and Logit Analysis

In discriminant analysis, we can obtain some idea of the relative importance of the variables by ________.

Discriminant analysis can be used to answer questions such as ________.

The procedure that is used to estimate the parameters of the binary logit model is called the maximum likelihood method.

The last step in conducting discriminant analysis is to interpret the results (Figure 18.2 in the text).

The assumptions in discriminant analysis are that each of the groups is a sample from a ________ population and all of the populations have the same ________.

The hit ratio is the percentage of cases correctly classified by the discriminant analysis.

The direct method is an approach to discriminant analysis that involves estimating the discriminant function so that all the predictors are included simultaneously.

In multiple discriminant analysis, the interpretation of results is aided by an examination of all of the following except ________.

The linear combinations of independent variables developed by discriminant analysis that will best discriminate between the categories of the dependent variable are ________.

A characteristic profile is an aid to interpreting discriminant analysis results by describing each group in terms of the group means for the predictor variables..

With the leave-one-out cross-validation option in SPSS, the discriminant model is re-estimated as many times as there are respondents in the sample.

The stepwise discriminant analysis method is appropriate when, based on previous research or a theoretical model, the researcher wants the discrimination to be based on all the predictors.

When the probability of success, P, is modeled using OLS regression, P is constrained to lie between 0 and 1.

As one of the statistics associated with discriminant analysis, the ________ (unstandardized)are the multipliers of variables when the variables are in the original units of measurement.

If attitude towards the brand is measured on a seven-point scale from unfavorable to favorable, it could be categorized as unfavorable (1, 2, 3), neutral (4), or favorable (5, 6, 7).

The Mahalanobis procedure is based on minimalizing a generalized measure of the distance between the two closest groups.

Discriminant/logit analysis is similar to regression and ANOVA in which of the areas stated below (Table 18.1 in the text)?

An examination of differences across groups lies at the heart of the basic concept of ________.

In discriminant analysis, the criterion or dependent variable is ________ and the predictor or independent variables are ________ in nature.

The binary logit model commonly deals with the issue of how likely an observation is to belong to each group. It estimates the probability of an observation belonging to a particular group

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

Causal Research Design: Experimentation

Measurement and Scaling: Fundamentals and Comparative Scaling

Measurement and Scaling: Noncomparative 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

Factor Analysis

Cluster Analysis

Multidimensional Scaling and Conjoint Analysis

Structural Equation Modeling and Path Analysis

Report Preparation and Presentation

International Marketing Research

Filters

The assumptions in discriminant analysis are that each of the groups is a sample from a population and all of the populations have the same .

In discriminant analysis, the criterion or dependent variable is and the predictor or independent variables are in nature.