Question 1

Which of the following is NOT mentioned in the text as an additional code that could be included for each respondent in the coding process?

Accepted Answer

A)  the project code 
B)  the interviewer code 
C)  the project director code 
D)  the validation code 
E)  codes for responses to questions 
A)  the project code 
B)  the interviewer code 
C)  the project director code 
D)  the validation code 
E)  codes for responses to questions C

Question 2

According to the text, category codes should be collectively exhaustive and mutually exclusive.

Accepted Answer

A) True 
 B)False  True

Question 3

Considering the known characteristics of the data is a stage in selecting a data analysis strategy.

Accepted Answer

A) True 
 B)False  True

Question 4

Multivariate statistical techniques are concerned with the simultaneous relationships among two or more phenomena.

Accepted Answer

A) True 
 B)False

Question 5

Pairwise deletion may be appropriate when all of the following conditions are present EXCEPT:

Accepted Answer

A)  the sample size is large. 
B)  there are few missing responses. 
C)  the variables are not highly related. 
D)  the sample size is small. 
E)  C and D 
A)  the sample size is large. 
B)  there are few missing responses. 
C)  the variables are not highly related. 
D)  the sample size is small. 
E)  C and D

Question 6

According to the text, the symbol used in the assignment of codes to each possible response to each question is usually a(n) ________.

Accepted Answer

A)  letter of the alphabet 
B)  Greek symbol 
C)  number 
D)  binary digit 
E)  ampersand 
A)  letter of the alphabet 
B)  Greek symbol 
C)  number 
D)  binary digit 
E)  ampersand

Question 7

Unlike traditional data collection, in social media respondents do not merely respond to questions or stimuli. Rather, they generate the data and edit it by their communal participation.

Accepted Answer

A) True 
 B)False

Question 8

In a short essay, discuss the seven steps in the data preparation process. When should the data preparation process begin? Why is it important to begin the data preparation process at this step?

Accepted Answer

The entire data preparation process is g

Question 9

A method for handling missing responses in which respondents with any missing responses are discarded from the analysis is called ________.

Accepted Answer

A)  casewise deletion 
B)  pairwise deletion 
C)  alternate deletion 
D)  concurrent deletion 
E)  A and B 
A)  casewise deletion 
B)  pairwise deletion 
C)  alternate deletion 
D)  concurrent deletion 
E)  A and B

Question 10

In a short essay, describe the process of editing in the data preparation process and discuss the four types of errors a researcher is attempting to minimize in this procedure.

Accepted Answer

Editing involves reviewing questionnaire

Question 11

The assignment of a symbol to represent a specific response to a specific question, along with the data record and column position that symbol will occupy, is called ________.

Accepted Answer

A)  editing 
B)  coding 
C)  sampling 
D)  pretesting 
E)  selecting 
A)  editing 
B)  coding 
C)  sampling 
D)  pretesting 
E)  selecting

Question 12

According to the text, categories are mutually exclusive if every response fits into one and only one of the assigned category codes.

Accepted Answer

A) True 
 B)False

Question 13

A review of the questionnaires with the objective of increasing accuracy and precision is called ________.

Accepted Answer

A)  editing 
B)  coding 
C)  validating 
D)  pretesting 
E)  transcribing 
A)  editing 
B)  coding 
C)  validating 
D)  pretesting 
E)  transcribing

Question 14

Data are verified as they are collected when all of the following methods are used EXCEPT:

Accepted Answer

A)  CATI. 
B)  CAPT. 
C)  electronic methods. 
D)  keypunching. 
E)  C and D 
A)  CATI. 
B)  CAPT. 
C)  electronic methods. 
D)  keypunching. 
E)  C and D

Question 15

________ are statistical techniques suitable for analyzing data when there are two or more measurements on each element and the variables are analyzed simultaneously.

Accepted Answer

A)  Univariate techniques 
B)  Multivariate techniques 
C)  Random techniques 
D)  Parallel techniques 
E)  Uniform techniques 
A)  Univariate techniques 
B)  Multivariate techniques 
C)  Random techniques 
D)  Parallel techniques 
E)  Uniform techniques

Question 16

A part of the data cleaning process that identifies data that are out of range or logically inconsistent, or that have extreme values, is called consistency checks.

Accepted Answer

A) True 
 B)False

Question 17

Data preparation should only begin once all batches of questionnaires are received from the field. In this way, processing uniformity is boosted.

Accepted Answer

A) True 
 B)False

Question 18

In text-mining and visualization, the coded text data are interpreted by matching positive or negative comments with overlapping terms that link the positive and negative comments to mentions of the product/ brand.

Accepted Answer

A) True 
 B)False

Question 19

Statistical techniques can be broadly classified as univariate or multivariate.

Accepted Answer

A) True 
 B)False

Question 20

________ consists of screening questionnaires to identify illegible, incomplete, inconsistent, or ambiguous responses.

Accepted Answer

A)  Coding 
B)  Editing 
C)  Validating 
D)  Pretesting 
E)  Transcribing 
A)  Coding 
B)  Editing 
C)  Validating 
D)  Pretesting 
E)  Transcribing

Which of the following is NOT mentioned in the text as an additional code that could be included for each respondent in the coding process?

According to the text, category codes should be collectively exhaustive and mutually exclusive.

Considering the known characteristics of the data is a stage in selecting a data analysis strategy.

Multivariate statistical techniques are concerned with the simultaneous relationships among two or more phenomena.

Pairwise deletion may be appropriate when all of the following conditions are present EXCEPT:

According to the text, the symbol used in the assignment of codes to each possible response to each question is usually a(n) ________.

Unlike traditional data collection, in social media respondents do not merely respond to questions or stimuli. Rather, they generate the data and edit it by their communal participation.

In a short essay, discuss the seven steps in the data preparation process. When should the data preparation process begin? Why is it important to begin the data preparation process at this step?

A method for handling missing responses in which respondents with any missing responses are discarded from the analysis is called ________.

In a short essay, describe the process of editing in the data preparation process and discuss the four types of errors a researcher is attempting to minimize in this procedure.

The assignment of a symbol to represent a specific response to a specific question, along with the data record and column position that symbol will occupy, is called ________.

According to the text, categories are mutually exclusive if every response fits into one and only one of the assigned category codes.

A review of the questionnaires with the objective of increasing accuracy and precision is called ________.

Data are verified as they are collected when all of the following methods are used EXCEPT:

________ are statistical techniques suitable for analyzing data when there are two or more measurements on each element and the variables are analyzed simultaneously.

A part of the data cleaning process that identifies data that are out of range or logically inconsistent, or that have extreme values, is called consistency checks.

Data preparation should only begin once all batches of questionnaires are received from the field. In this way, processing uniformity is boosted.

In text-mining and visualization, the coded text data are interpreted by matching positive or negative comments with overlapping terms that link the positive and negative comments to mentions of the product/ brand.

Statistical techniques can be broadly classified as univariate or multivariate.

________ consists of screening questionnaires to identify illegible, incomplete, inconsistent, or ambiguous responses.

Introduction to Marketing Research

Defining the Marketing Research Problem and Developing an Approach

Research Design

Exploratory Research Design: Secondary Data

Exploratory Research Design: Syndicated Sources of 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 Collection

Frequency Distribution, Hypothesis Testing, and Cross-Tabulation

Hypothesis Testing Related to Differences

Correlation and Regression

Report Preparation and Presentation

Filters

Exam 15: Data Preparation and Analysis Strategy

Which of the following is NOT mentioned in the text as an additional code that could be included for each respondent in the coding process?

According to the text, category codes should be collectively exhaustive and mutually exclusive.

Considering the known characteristics of the data is a stage in selecting a data analysis strategy.

Multivariate statistical techniques are concerned with the simultaneous relationships among two or more phenomena.

Pairwise deletion may be appropriate when all of the following conditions are present EXCEPT:

According to the text, the symbol used in the assignment of codes to each possible response to each question is usually a(n) ________.

Unlike traditional data collection, in social media respondents do not merely respond to questions or stimuli. Rather, they generate the data and edit it by their communal participation.

In a short essay, discuss the seven steps in the data preparation process. When should the data preparation process begin? Why is it important to begin the data preparation process at this step?

A method for handling missing responses in which respondents with any missing responses are discarded from the analysis is called ________.

In a short essay, describe the process of editing in the data preparation process and discuss the four types of errors a researcher is attempting to minimize in this procedure.

The assignment of a symbol to represent a specific response to a specific question, along with the data record and column position that symbol will occupy, is called ________.

According to the text, categories are mutually exclusive if every response fits into one and only one of the assigned category codes.

A review of the questionnaires with the objective of increasing accuracy and precision is called ________.

Data are verified as they are collected when all of the following methods are used EXCEPT:

________ are statistical techniques suitable for analyzing data when there are two or more measurements on each element and the variables are analyzed simultaneously.

A part of the data cleaning process that identifies data that are out of range or logically inconsistent, or that have extreme values, is called consistency checks.

Data preparation should only begin once all batches of questionnaires are received from the field. In this way, processing uniformity is boosted.

In text-mining and visualization, the coded text data are interpreted by matching positive or negative comments with overlapping terms that link the positive and negative comments to mentions of the product/ brand.

Statistical techniques can be broadly classified as univariate or multivariate.

________ consists of screening questionnaires to identify illegible, incomplete, inconsistent, or ambiguous responses.

Introduction to Marketing Research

Defining the Marketing Research Problem and Developing an Approach

Research Design

Exploratory Research Design: Secondary Data

Exploratory Research Design: Syndicated Sources of 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 Collection

Frequency Distribution, Hypothesis Testing, and Cross-Tabulation

Hypothesis Testing Related to Differences

Correlation and Regression

Report Preparation and Presentation

Filters