Question 1

has been used to determine preferences for two competing alternatives.

Accepted Answer

A)  Double sampling 
B)  Area sampling 
C)  Sequential sampling 
D)  Probability proportionate to size sampling 
A)  Double sampling 
B)  Area sampling 
C)  Sequential sampling 
D)  Probability proportionate to size sampling

Question 2

The aggregate of all the elements, sharing some common set of characteristics, that comprises the universe for the purpose of the marketing problem is the .

Accepted Answer

A)  sampling frame 
B)  element 
C)  census 
D)  population 
A)  sampling frame 
B)  element 
C)  census 
D)  population

Question 3

If the sampling unit is different from the element, it is necessary to specify precisely how the elements within the sampling unit should be selected. Selecting the person within the sampling unit with the next birthday is an appropriate way to precisely specify which element to sample.

Accepted Answer

A) True 
 B)False

Question 4

The Bayesian approach to sampling is theoretically appealing; however, it is not widely used in marketing research because much of the required information on costs and probabilities is not available.

Accepted Answer

A) True 
 B)False

Question 5

does not allow direct generalizations to a specific population, usually because the population is not defined explicitly.

Accepted Answer

A)  Simple random sampling 
B)  Convenience sampling 
C)  Snowball sampling 
D)  Judgmental sampling 
A)  Simple random sampling 
B)  Convenience sampling 
C)  Snowball sampling 
D)  Judgmental sampling

Question 6

Probability sampling techniques are uncommon in international marketing research because of all of the following reasons except .

Accepted Answer

A)  lack of suitable sampling frames 
B)  lack of trained researchers 
C)  the dominance of personal interviewing 
D)  the inaccessibility of certain respondents, such as women in some cultures 
A)  lack of suitable sampling frames 
B)  lack of trained researchers 
C)  the dominance of personal interviewing 
D)  the inaccessibility of certain respondents, such as women in some cultures

Question 7

is a form of convenience sampling in which the population elements are selected based on the judgment of the researcher.

Accepted Answer

A)  Nonprobability sampling 
B)  Probability sampling 
C)  Convenience sampling 
D)  Judgmental sampling 
A)  Nonprobability sampling 
B)  Probability sampling 
C)  Convenience sampling 
D)  Judgmental sampling

Question 8

The sample size decision should be guided by certain qualitative considerations. Which of the following is not one of those considerations?

Accepted Answer

A)  the average size of samples in similar studies 
B)  the sampling technique to be used 
C)  the resource constraints 
D)  the nature of the results 
A)  the average size of samples in similar studies 
B)  the sampling technique to be used 
C)  the resource constraints 
D)  the nature of the results

Question 9

Probability sampling is used to select the initial respondents for snowball sampling.

Accepted Answer

A) True 
 B)False

Question 10

Which statement is not true about cluster sampling?

Accepted Answer

A)  Cluster sampling is the most cost- effective probability sampling technique. 
B)  The two major advantages of cluster sampling are feasibility and low cost. 
C)  The researcher may have to rely on intuition and logic to determine sample sizes for each cluster. 
D)  It can be difficult to compute and interpret statistics based on clusters. 
A)  Cluster sampling is the most cost- effective probability sampling technique. 
B)  The two major advantages of cluster sampling are feasibility and low cost. 
C)  The researcher may have to rely on intuition and logic to determine sample sizes for each cluster. 
D)  It can be difficult to compute and interpret statistics based on clusters.

Question 11

It is ok to treat nonprobability samples as probability samples and to project the results to a target population.

Accepted Answer

A) True 
 B)False

Question 12

A complete enumeration of the elements of a population or study objects is a(n) _.

Accepted Answer

A)  element 
B)  population 
C)  census 
D)  target population 
A)  element 
B)  population 
C)  census 
D)  target population

Question 13

In simple random sampling, each element in the population has a known and equal probability of selection.

Accepted Answer

A) True 
 B)False

Question 14

The major advantage of is that it substantially increases the likelihood of locating the desired characteristic in the population.

Accepted Answer

A)  quota sampling 
B)  judgmental sampling 
C)  snowball sampling 
D)  convenience sampling 
A)  quota sampling 
B)  judgmental sampling 
C)  snowball sampling 
D)  convenience sampling

Question 15

The elements within a stratum should be as heterogeneous as possible, but the elements in different strata should be as homogeneous as possible.

Accepted Answer

A) True 
 B)False

Question 16

In the sample size is not known in advance, but a decision rule is stated before the sampling begins. At each stage, this rule indicates whether sampling should be continued or whether enough information has been obtained.

Accepted Answer

A)  stratified sampling 
B)  sequential sampling 
C)  systematic sampling 
D)  double sampling 
A)  stratified sampling 
B)  sequential sampling 
C)  systematic sampling 
D)  double sampling

Question 17

Discuss the advantages of systematic sampling.

Accepted Answer

Systematic sampling is less costly and e

Question 18

A representation of the elements of the target population consisting of a list or set of directions for identifying the target population is a _.

Accepted Answer

A)  sampling frame 
B)  sampling unit 
C)  judgmental sample 
D)  sample 
A)  sampling frame 
B)  sampling unit 
C)  judgmental sample 
D)  sample

Question 19

Which of the following conditions does not favor the use of a census (Table 11.1 in the text)?

Accepted Answer

A)  The cost of sampling errors is high. 
B)  The cost of nonsampling errors is low. 
C)  There is high variance in the characteristic to be measured. 
D)  The population is large. 
A)  The cost of sampling errors is high. 
B)  The cost of nonsampling errors is low. 
C)  There is high variance in the characteristic to be measured. 
D)  The population is large.

Question 20

Which statement is correct about defining the target population?

Accepted Answer

A)  Imprecise definition of the target population will result in research that is ineffective at best and misleading at worst. 
B)  The target population should be defined in terms of elements, sampling units, extent, and time. 
C)  Defining the target population involves translating the problem definition into a precise statement of who should and should not be included in the sample. 
D)  All of the above statements are true. 
A)  Imprecise definition of the target population will result in research that is ineffective at best and misleading at worst. 
B)  The target population should be defined in terms of elements, sampling units, extent, and time. 
C)  Defining the target population involves translating the problem definition into a precise statement of who should and should not be included in the sample. 
D)  All of the above statements are true.

Exam 11: Sampling: Design and

has been used to determine preferences for two competing alternatives.

The aggregate of all the elements, sharing some common set of characteristics, that comprises the universe for the purpose of the marketing problem is the .

If the sampling unit is different from the element, it is necessary to specify precisely how the elements within the sampling unit should be selected. Selecting the person within the sampling unit with the next birthday is an appropriate way to precisely specify which element to sample.

The Bayesian approach to sampling is theoretically appealing; however, it is not widely used in marketing research because much of the required information on costs and probabilities is not available.

does not allow direct generalizations to a specific population, usually because the population is not defined explicitly.

Probability sampling techniques are uncommon in international marketing research because of all of the following reasons except .

is a form of convenience sampling in which the population elements are selected based on the judgment of the researcher.

The sample size decision should be guided by certain qualitative considerations. Which of the following is not one of those considerations?

Probability sampling is used to select the initial respondents for snowball sampling.

Which statement is not true about cluster sampling?

It is ok to treat nonprobability samples as probability samples and to project the results to a target population.

A complete enumeration of the elements of a population or study objects is a(n) _.

In simple random sampling, each element in the population has a known and equal probability of selection.

The major advantage of is that it substantially increases the likelihood of locating the desired characteristic in the population.

The elements within a stratum should be as heterogeneous as possible, but the elements in different strata should be as homogeneous as possible.

In the sample size is not known in advance, but a decision rule is stated before the sampling begins. At each stage, this rule indicates whether sampling should be continued or whether enough information has been obtained.

Discuss the advantages of systematic sampling.

A representation of the elements of the target population consisting of a list or set of directions for identifying the target population is a _.

Which of the following conditions does not favor the use of a census (Table 11.1 in the text)?

Which statement is correct about defining the target population?

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: Final and Initial

Fieldwork

Data Preparation

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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