Exam 7: Sampling Approaches and Considerations

______ sampling is appropriate when there are subgroups in the population that are naturally formed and relatively homogeneous. Any one of these groups can be viewed as a population or sub-population in its own right.

(Multiple Choice)

5.0/5

(29)

Question 21

Compare and contrast probability and non-probability sampling and list the methods used in each type.

(Essay)

4.7/5

(25)

Question 22

A snowball sample is also called a(n) _____ sample.

(Multiple Choice)

4.9/5

(31)

Question 23

The ____ sampling approach to drawing a sample from the target population requires the researcher to partition the target population into relatively homogeneous subgroups that are distinct and non-overlapping.

(Multiple Choice)

4.8/5

(28)

Question 24

The Yellow Pages listing of veterinarians, the telephone directory listing of individuals, a company's internal database listing its employees and/or customers, electronic directories available on the Internet, or a university's registration list are all examples of a _____.

(Multiple Choice)

4.8/5

(34)

Question 25

Stratified sampling requires a researcher to partition the sampling frame into subgroups that are mixed and overlapping.

(True/False)

4.9/5

(37)

Question 26

A researcher is examining the effect election outcomes have on company stock prices. Companies represent the _____.

(Multiple Choice)

5.0/5

(38)

Question 27

The group of knowledgeable people about a particular topic is referred to as _____.

(Multiple Choice)

4.9/5

(34)

Question 28

Explain the stratified sampling approach and the difference between proportionally and disproportionately stratified sampling. Give an example of when each would be used.

(Essay)

4.8/5

(35)

Question 29

Which of the following is a type of non-probability sampling method?

(Multiple Choice)

4.9/5

(30)

Question 30

Another term for population is _____.

(Multiple Choice)

4.9/5

(24)

Question 31

____ sampling is a process that involves randomly selecting an initial starting point on a list, and thereafter every n^th element in the sampling frame is selected.

(Multiple Choice)

4.8/5

(33)

Question 32

What are the two broad categories into which traditional sampling methods can be divided?

(Multiple Choice)

4.8/5

(33)

Question 33

What does the researcher need to know to apply a statistical formula for the calculation of the appropriate sample size?

(Multiple Choice)

4.9/5

(40)

Question 34

Stratified samples are selected in the two following ways: _____.

(Multiple Choice)

4.8/5

(31)

Question 35

What considerations need to be taken into account when determining the appropriate efficient sample size, and how does a researcher determine the appropriate sample size?

(Essay)

4.8/5

(27)

Question 36

Which type of sampling involves a sequence of stages?

(Multiple Choice)

4.8/5

(34)

Question 37

A sampling unit is the complete group of objects or elements relevant to the research project.

(True/False)

4.9/5

(38)

Question 38

A sample is considered to be _____of the population from which it is drawn if it mirrors characteristics of the population thereby minimizing the errors associated with sampling.

(Multiple Choice)

4.7/5

(34)

Question 39

A researcher studying the effect of brands appearing in movies on consumers' attitudes has determined that there should be twice as many sampling elements in the 18-25 age group as there are in the other age groups because this group is the most frequent moviegoers. Which type of sampling method is this researcher using?

(Multiple Choice)

4.9/5

(33)

Question 40

Showing 21 - 40 of 63

______ sampling is appropriate when there are subgroups in the population that are naturally formed and relatively homogeneous. Any one of these groups can be viewed as a population or sub-population in its own right.

Compare and contrast probability and non-probability sampling and list the methods used in each type.

A snowball sample is also called a(n) _____ sample.

The ____ sampling approach to drawing a sample from the target population requires the researcher to partition the target population into relatively homogeneous subgroups that are distinct and non-overlapping.

The Yellow Pages listing of veterinarians, the telephone directory listing of individuals, a company's internal database listing its employees and/or customers, electronic directories available on the Internet, or a university's registration list are all examples of a _____.

Stratified sampling requires a researcher to partition the sampling frame into subgroups that are mixed and overlapping.

A researcher is examining the effect election outcomes have on company stock prices. Companies represent the _____.

The group of knowledgeable people about a particular topic is referred to as _____.

Explain the stratified sampling approach and the difference between proportionally and disproportionately stratified sampling. Give an example of when each would be used.

Which of the following is a type of non-probability sampling method?

Another term for population is _____.

____ sampling is a process that involves randomly selecting an initial starting point on a list, and thereafter every n^th element in the sampling frame is selected.

What are the two broad categories into which traditional sampling methods can be divided?

What does the researcher need to know to apply a statistical formula for the calculation of the appropriate sample size?

Stratified samples are selected in the two following ways: _____.

What considerations need to be taken into account when determining the appropriate efficient sample size, and how does a researcher determine the appropriate sample size?

Which type of sampling involves a sequence of stages?

A sampling unit is the complete group of objects or elements relevant to the research project.

A sample is considered to be _____of the population from which it is drawn if it mirrors characteristics of the population thereby minimizing the errors associated with sampling.

Business Research for the Twenty-First Century

Overview of the Research Process

Ethics in Business Research

Defining the Research Problem and Reviewing the Literature

The Nature and Sources of Secondary Business Data

Conceptualization and Research Design

Methods of Collecting Primary Data

Measurement and Scaling

Questionnaire Design

Basic Data Analysis for Qualitative Research

Basic Data Analysis for Quantitative Research

Testing Hypotheses in Quantitative Research

Examining Relationships Using Correlation and Regression

Other Multivariate Techiques

Reporting and Presenting Research

Filters

Exam 7: Sampling Approaches and Considerations

______ sampling is appropriate when there are subgroups in the population that are naturally formed and relatively homogeneous. Any one of these groups can be viewed as a population or sub-population in its own right.

Compare and contrast probability and non-probability sampling and list the methods used in each type.

A snowball sample is also called a(n) _____ sample.

The ____ sampling approach to drawing a sample from the target population requires the researcher to partition the target population into relatively homogeneous subgroups that are distinct and non-overlapping.

The Yellow Pages listing of veterinarians, the telephone directory listing of individuals, a company's internal database listing its employees and/or customers, electronic directories available on the Internet, or a university's registration list are all examples of a _____.

Stratified sampling requires a researcher to partition the sampling frame into subgroups that are mixed and overlapping.

A researcher is examining the effect election outcomes have on company stock prices. Companies represent the _____.

The group of knowledgeable people about a particular topic is referred to as _____.

Explain the stratified sampling approach and the difference between proportionally and disproportionately stratified sampling. Give an example of when each would be used.

Which of the following is a type of non-probability sampling method?

Another term for population is _____.

____ sampling is a process that involves randomly selecting an initial starting point on a list, and thereafter every nth element in the sampling frame is selected.

What are the two broad categories into which traditional sampling methods can be divided?

What does the researcher need to know to apply a statistical formula for the calculation of the appropriate sample size?

Stratified samples are selected in the two following ways: _____.

What considerations need to be taken into account when determining the appropriate efficient sample size, and how does a researcher determine the appropriate sample size?

Which type of sampling involves a sequence of stages?

A sampling unit is the complete group of objects or elements relevant to the research project.

A sample is considered to be _____of the population from which it is drawn if it mirrors characteristics of the population thereby minimizing the errors associated with sampling.

Business Research for the Twenty-First Century

Overview of the Research Process

Ethics in Business Research

Defining the Research Problem and Reviewing the Literature

The Nature and Sources of Secondary Business Data

Conceptualization and Research Design

Methods of Collecting Primary Data

Measurement and Scaling

Questionnaire Design

Basic Data Analysis for Qualitative Research

Basic Data Analysis for Quantitative Research

Testing Hypotheses in Quantitative Research

Examining Relationships Using Correlation and Regression

Other Multivariate Techiques

Reporting and Presenting Research

Filters

____ sampling is a process that involves randomly selecting an initial starting point on a list, and thereafter every n^th element in the sampling frame is selected.