Question 1

An important variable respecification procedure involves the use of dummy variables.

Accepted Answer

A) True 
 B)False

Question 2

Which of the following is an option available for the treatment of missing values?

Accepted Answer

A)  substitute a neutral value 
B)  substitute an imputed response 
C)  Both A and B are correct. 
D)  returning to the field 
A)  substitute a neutral value 
B)  substitute an imputed response 
C)  Both A and B are correct. 
D)  returning to the field

Question 3

The major multivariate technique for examining ________,is factor analysis.

Accepted Answer

A)  interobject similarity 
B)  one dependent variable 
C)  variable interdependence 
D)  more than one dependent variable 
A)  interobject similarity 
B)  one dependent variable 
C)  variable interdependence 
D)  more than one dependent variable

Question 4

Data that are interval or ratio in nature are ________.

Accepted Answer

A)  independent data 
B)  paired data 
C)  metric data 
D)  nonmetric data 
A)  independent data 
B)  paired data 
C)  metric data 
D)  nonmetric data

Question 5

The general rule for respecifying categorical variables with K categories is that K dummy variables are needed.

Accepted Answer

A) True 
 B)False

Question 6

Within-country analysis is also referred to as intercultural analysis.

Accepted Answer

A) True 
 B)False

Question 7

In Excel the ________ statement can be used to make a logical check.

Accepted Answer

A)  Else 
B)  ElseIf 
C)  EndIf 
D)  If 
A)  Else 
B)  ElseIf 
C)  EndIf 
D)  If

Question 8

Which option for the treatment of missing values involves cases,or respondents,with any missing responses being discarded from the analysis?

Accepted Answer

A)  casewise deletion 
B)  substitute a neutral value 
C)  pairwise deletion 
D)  returning to the field 
A)  casewise deletion 
B)  substitute a neutral value 
C)  pairwise deletion 
D)  returning to the field

Question 9

For multivariate statistical techniques,when there is ________,multivariate analysis of variance and covariance and canonical correlation,and multiple discriminant analysis can be used.

Accepted Answer

A)  one dependent variable 
B)  more than one dependent variable 
C)  variable interdependence 
D)  interobject similarity 
A)  one dependent variable 
B)  more than one dependent variable 
C)  variable interdependence 
D)  interobject similarity

Question 10

When respecifying a categorical variable with K categories,only K - 1 dummy variables are needed because only K - 1 categories are independent.

Accepted Answer

A) True 
 B)False

Question 11

If the researcher uses the mean response for the missing value,he/she is using which option for the treatment of missing values?

Accepted Answer

A)  returning to the field 
B)  substitute an imputed response 
C)  casewise deletion 
D)  substitute a neutral value 
A)  returning to the field 
B)  substitute an imputed response 
C)  casewise deletion 
D)  substitute a neutral value

Question 12

Unsatisfactory respondents may differ from satisfactory respondents in systematic ways and the decision to designate a respondent as unsatisfactory may be subjective.Both of these factors bias the results.

Accepted Answer

A) True 
 B)False

Question 13

Which treatment of unsatisfactory responses is desirable if (1)the unsatisfactory respondents do not differ from satisfactory respondents in obvious ways responses on key variables are missing?

Accepted Answer

A)  classifying and counting questionnaires accordingly 
B)  discarding unsatisfactory responses 
C)  returning to the field to get better data 
D)  assigning missing values 
A)  classifying and counting questionnaires accordingly 
B)  discarding unsatisfactory responses 
C)  returning to the field to get better data 
D)  assigning missing values

Question 14

Univariate techniques can be classified based on ________.

Accepted Answer

A)  whether one,two,or more than two samples are involved 
B)  whether the data are metric or nonmetric 
C)  whether interdependence techniques or dependence techniques are to be used 
D)  A and B are correct 
A)  whether one,two,or more than two samples are involved 
B)  whether the data are metric or nonmetric 
C)  whether interdependence techniques or dependence techniques are to be used 
D)  A and B are correct

Question 15

When utilizing univariate techniques,the samples are ________ if they are drawn randomly from different populations.

Accepted Answer

A)  metric data 
B)  nonmetric data 
C)  independent 
D)  paired 
A)  metric data 
B)  nonmetric data 
C)  independent 
D)  paired

Question 16

Explain the difference between univariate and multivariate techniques.

Accepted Answer

Multivariate techniques differ from univ

Question 17

Dummy variables are also called all of the names below except ________.

Accepted Answer

A)  instrumental 
B)  quantitative 
C)  dichotomous 
D)  binary 
A)  instrumental 
B)  quantitative 
C)  dichotomous 
D)  binary

Question 18

________ are statistical techniques that attempt to group data based on underlying similarity,and thus allow for interpretation of the data structures.No distinction is made as to which variables are dependent and which are independent.

Accepted Answer

A)  Dependence techniques 
B)  Interdependence techniques 
C)  Univariate techniques 
D)  Multivariate techniques 
A)  Dependence techniques 
B)  Interdependence techniques 
C)  Univariate techniques 
D)  Multivariate techniques

Question 19

SPSS Missing Values Analysis can assist in diagnosing missing values and replacing missing values with estimates.The missing values can also be treated within the context of the SPSS Base module.

Accepted Answer

A) True 
 B)False

Question 20

In ________,each case or respondent in the database is assigned a weight to reflect its importance relative to other cases or respondents.

Accepted Answer

A)  scale transformation 
B)  weighting 
C)  standardization 
D)  variable respecification 
A)  scale transformation 
B)  weighting 
C)  standardization 
D)  variable respecification

Exam 14: Data Preparation

An important variable respecification procedure involves the use of dummy variables.

Which of the following is an option available for the treatment of missing values?

The major multivariate technique for examining ________,is factor analysis.

Data that are interval or ratio in nature are ________.

The general rule for respecifying categorical variables with K categories is that K dummy variables are needed.

Within-country analysis is also referred to as intercultural analysis.

In Excel the ________ statement can be used to make a logical check.

Which option for the treatment of missing values involves cases,or respondents,with any missing responses being discarded from the analysis?

For multivariate statistical techniques,when there is ________,multivariate analysis of variance and covariance and canonical correlation,and multiple discriminant analysis can be used.

When respecifying a categorical variable with K categories,only K - 1 dummy variables are needed because only K - 1 categories are independent.

If the researcher uses the mean response for the missing value,he/she is using which option for the treatment of missing values?

Unsatisfactory respondents may differ from satisfactory respondents in systematic ways and the decision to designate a respondent as unsatisfactory may be subjective.Both of these factors bias the results.

Which treatment of unsatisfactory responses is desirable if (1)the unsatisfactory respondents do not differ from satisfactory respondents in obvious ways responses on key variables are missing?

Univariate techniques can be classified based on ________.

When utilizing univariate techniques,the samples are ________ if they are drawn randomly from different populations.

Explain the difference between univariate and multivariate techniques.

Dummy variables are also called all of the names below except ________.

________ are statistical techniques that attempt to group data based on underlying similarity,and thus allow for interpretation of the data structures.No distinction is made as to which variables are dependent and which are independent.

SPSS Missing Values Analysis can assist in diagnosing missing values and replacing missing values with estimates.The missing values can also be treated within the context of the SPSS Base module.

In ________,each case or respondent in the database is assigned a weight to reflect its importance relative to other cases or respondents.

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

Frequency Distribution, cross-Tabulation, and Hypothesis Testing

Analysis of Variance and Covariance

Correlation and Regression

Discriminant and Logit Analysis

Factor 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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