Question 1

Univariate techniques can be classified based on .

Accepted Answer

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

Question 2

The data- preparation process is guided by the preliminary plan of data that was formulated in the research design phase.

Accepted Answer

A) True 
 B)False

Question 3

The effect of weighting is to increase or to decrease the number of cases in the sample that possess certain characteristics.

Accepted Answer

A) True 
 B)False

Question 4

Metric data are measured on a nominal or ordinal scale.

Accepted Answer

A) True 
 B)False

Question 5

Missing value codes should be distinct from the codes assigned to the legitimate responses.

Accepted Answer

A) True 
 B)False

Question 6

Which is not a part of the process of selecting a data analysis strategy?

Accepted Answer

A)  properties of statistical techniques 
B)  classification of statistical techniques 
C)  background and philosophy of the researcher 
D)  known characteristics of the data 
A)  properties of statistical techniques 
B)  classification of statistical techniques 
C)  background and philosophy of the researcher 
D)  known characteristics of the data

Question 7

In , also known as across- countries analysis, the data can be aggregated for each country and these aggregate statistics analyzed.

Accepted Answer

A)  Cross- cultural analysis 
B)  Individual- level analysis 
C)  Pancultural analysis 
D)  Intracultural analysis 
A)  Cross- cultural analysis 
B)  Individual- level analysis 
C)  Pancultural analysis 
D)  Intracultural analysis

Question 8

Univariate techniques can be classified as dependence techniques or interdependence techniques.

Accepted Answer

A) True 
 B)False

Question 9

Analysis of interobject similarity can be conducted by cluster analysis and multiple discriminant analysis.

Accepted Answer

A) True 
 B)False

Question 10

If you discover that a respondent has consistently checked the same response on a series of scales or that skip patterns were not followed on a questionnaire, more than likely you are participating in the step of the data- preparation process.

Accepted Answer

A)  coding 
B)  data cleaning 
C)  questionnaire checking 
D)  editing 
A)  coding 
B)  data cleaning 
C)  questionnaire checking 
D)  editing

Question 11

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

Question 12

are appropriate when one or more variables can be identified as dependent variables and the remaining are independent variables.

Accepted Answer

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

Question 13

is within- country analysis of international data.

Accepted Answer

A)  Cross- cultural analysis 
B)  Individual- level analysis 
C)  Pancultural analysis 
D)  Intracultural analysis 
A)  Cross- cultural analysis 
B)  Individual- level analysis 
C)  Pancultural analysis 
D)  Intracultural analysis

Question 14

When utilizing univariate techniques, for metric data, when there is (are) , one- way analysis of variance (one- way ANOVA) can be used.

Accepted Answer

A)  only one sample 
B)  two independent samples 
C)  more than two independent samples 
D)  two or more related samples 
A)  only one sample 
B)  two independent samples 
C)  more than two independent samples 
D)  two or more related samples

Question 15

The following codes should be included for each respondent: project code, interviewer code, date and time codes, category codes, and validation code.

Accepted Answer

A) True 
 B)False

Question 16

Which option for the treatment of missing values involves the researcher using the respondents' pattern of responses to calculate a suitable response to the missing questions?

Accepted Answer

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

Question 17

Which treatment of unsatisfactory responses is desirable if (1) the number of respondents with unsatisfactory responses is small; (2) the proportion of unsatisfactory responses for each of these respondents is small; or (3) the variables with unsatisfactory responses are not the key variables?

Accepted Answer

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

Question 18

Square root and log transformations are seldom used in the respecification of variables.

Accepted Answer

A) True 
 B)False

Question 19

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

Accepted Answer

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

Question 20

During a preliminary check for consistency, you found a respondent had reported an annual income of less than $20,000, yet indicated frequent shopping at prestigious department stores such as Saks Fifth Avenue and Neiman Marcus. You are at the step of the data- preparation process.

Accepted Answer

A)  coding 
B)  data cleaning 
C)  questionnaire checking 
D)  editing 
A)  coding 
B)  data cleaning 
C)  questionnaire checking 
D)  editing

Exam 14: Data Preparation

Univariate techniques can be classified based on .

The data- preparation process is guided by the preliminary plan of data that was formulated in the research design phase.

The effect of weighting is to increase or to decrease the number of cases in the sample that possess certain characteristics.

Metric data are measured on a nominal or ordinal scale.

Missing value codes should be distinct from the codes assigned to the legitimate responses.

Which is not a part of the process of selecting a data analysis strategy?

In , also known as across- countries analysis, the data can be aggregated for each country and these aggregate statistics analyzed.

Univariate techniques can be classified as dependence techniques or interdependence techniques.

Analysis of interobject similarity can be conducted by cluster analysis and multiple discriminant analysis.

If you discover that a respondent has consistently checked the same response on a series of scales or that skip patterns were not followed on a questionnaire, more than likely you are participating in the step of the data- preparation process.

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.

are appropriate when one or more variables can be identified as dependent variables and the remaining are independent variables.

is within- country analysis of international data.

When utilizing univariate techniques, for metric data, when there is (are) , one- way analysis of variance (one- way ANOVA) can be used.

The following codes should be included for each respondent: project code, interviewer code, date and time codes, category codes, and validation code.

Which option for the treatment of missing values involves the researcher using the respondents' pattern of responses to calculate a suitable response to the missing questions?

Which treatment of unsatisfactory responses is desirable if (1) the number of respondents with unsatisfactory responses is small; (2) the proportion of unsatisfactory responses for each of these respondents is small; or (3) the variables with unsatisfactory responses are not the key variables?

Square root and log transformations are seldom used in the respecification of variables.

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

During a preliminary check for consistency, you found a respondent had reported an annual income of less than $20,000, yet indicated frequent shopping at prestigious department stores such as Saks Fifth Avenue and Neiman Marcus. You are at the step of the data- preparation process.

Introduction to Marketing

Defining the Marketing Research

Research Design

Exploratory Research Design

Exploratory Research Design

Descriptive Research Design

Causal Research Design

Measurement and Scaling

Measurement and Scaling

Questionnaire and Form

Sampling: Design and

Sampling: Final and Initial

Fieldwork

Frequency Distribution, Crosstabulation, and Hypothesis

Analysis of Variance and

Correlation and Regression

Discriminant and Logit

Factor Analysis

Cluster Analysis

Multidimensional Scaling and

Structural Equation Modeling

Report Preparation and

International Marketing

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