Question 1

A form of convenience sampling in which the population elements are selected based on the researcher's discretion is called ________.

Accepted Answer

A)  quota sampling 
B)  snowball sampling 
C)  judgmental sampling 
D)  sampling 
E)  simple random sampling 
A)  quota sampling 
B)  snowball sampling 
C)  judgmental sampling 
D)  sampling 
E)  simple random sampling

Question 2

The aggregate of all elements, sharing some common set of characteristics, which comprise the universe for the purpose of the marketing research problem, is called the ________.

Accepted Answer

A)  sample 
B)  inference 
C)  hypothesis 
D)  population 
E)  element aggregate 
A)  sample 
B)  inference 
C)  hypothesis 
D)  population 
E)  element aggregate

Question 3

An example of nonprobability sampling is interviewing people in malls.

Accepted Answer

A) True 
 B)False

Question 4

Objects that possess the information the researcher seeks and about which the researcher will make inferences is called a(n) ________.

Accepted Answer

A)  incident 
B)  element 
C)  hypothesis 
D)  census 
E)  inference unit 
A)  incident 
B)  element 
C)  hypothesis 
D)  census 
E)  inference unit

Question 5

According to the text, precision refers to the level of uncertainty about the characteristic being measured.

Accepted Answer

A) True 
 B)False

Question 6

Sampling techniques that do not use chance selection procedures and rely on the personal judgment of the researcher are called ________.

Accepted Answer

A)  probability sampling techniques 
B)  nonprobability sampling techniques 
C)  stratified sampling 
D)  cluster sampling 
E)  semantic differential sampling 
A)  probability sampling techniques 
B)  nonprobability sampling techniques 
C)  stratified sampling 
D)  cluster sampling 
E)  semantic differential sampling

Question 7

A form of convenience sampling in which the population elements are selected based on the researcher's discretion is called judgmental sampling.

Accepted Answer

A) True 
 B)False

Question 8

In a short essay, list and discuss the four commonly used nonprobability sampling techniques used in marketing research.

Accepted Answer

a. Convenience sampling attempts to obta

Question 9

A population is the total of all the elements that share some common set of characteristics.

Accepted Answer

A) True 
 B)False

Question 10

A census involves a complete count of each element in a population.

Accepted Answer

A) True 
 B)False

A form of convenience sampling in which the population elements are selected based on the researcher's discretion is called ________.

The aggregate of all elements, sharing some common set of characteristics, which comprise the universe for the purpose of the marketing research problem, is called the ________.

An example of nonprobability sampling is interviewing people in malls.

Objects that possess the information the researcher seeks and about which the researcher will make inferences is called a(n) ________.

According to the text, precision refers to the level of uncertainty about the characteristic being measured.

Sampling techniques that do not use chance selection procedures and rely on the personal judgment of the researcher are called ________.

A form of convenience sampling in which the population elements are selected based on the researcher's discretion is called judgmental sampling.

In a short essay, list and discuss the four commonly used nonprobability sampling techniques used in marketing research.

A population is the total of all the elements that share some common set of characteristics.

A census involves a complete count of each element in a population.

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: Final and Initial Sample Size Determination

Fieldwork: Data Collection

Data Preparation and Analysis Strategy

Frequency Distribution, Hypothesis Testing, and Cross-Tabulation

Hypothesis Testing Related to Differences

Correlation and Regression

Report Preparation and Presentation

Filters

Exam 12: Sampling: Design and Procedures

A form of convenience sampling in which the population elements are selected based on the researcher's discretion is called ________.

The aggregate of all elements, sharing some common set of characteristics, which comprise the universe for the purpose of the marketing research problem, is called the ________.

An example of nonprobability sampling is interviewing people in malls.

Objects that possess the information the researcher seeks and about which the researcher will make inferences is called a(n) ________.

According to the text, precision refers to the level of uncertainty about the characteristic being measured.

Sampling techniques that do not use chance selection procedures and rely on the personal judgment of the researcher are called ________.

A form of convenience sampling in which the population elements are selected based on the researcher's discretion is called judgmental sampling.

In a short essay, list and discuss the four commonly used nonprobability sampling techniques used in marketing research.

A population is the total of all the elements that share some common set of characteristics.

A census involves a complete count of each element in a population.

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: Final and Initial Sample Size Determination

Fieldwork: Data Collection

Data Preparation and Analysis Strategy

Frequency Distribution, Hypothesis Testing, and Cross-Tabulation

Hypothesis Testing Related to Differences

Correlation and Regression

Report Preparation and Presentation

Filters