Question 1

If selection sampling occurs proportionately in a study, it loses its randomness and can no longer be considered probability sampling.

Accepted Answer

A) True 
 B)False  False

Question 2

Generalizability means:

Accepted Answer

A)   conclusions made about one population can be applied to another.
B)   the study could not be specific about its conclusions.
C)   how well the sample represents the population it is taken from.
D)   None of these is correct. C

Question 3

Simple random sampling is not:

Accepted Answer

A)   highly representative of the population.
B)   unbiased.
C)   very common.
D)   a probability sampling technique. B

Question 4

If you're allowed to sample pre-existing groups and exclude certain members from your pre-existing groups, and it is a form of nonprobability sampling, you are using:

Accepted Answer

A)   convenience sampling.
B)   purposive sampling.
C)   quota sampling.
D)   snowball sampling.

Question 5

What is not factored in a sampling frame?

Accepted Answer

A)   People
B)   Health departments
C)   Schools
D)   The health disparity

Question 6

The strength or weakness of the generalizability yield can only be determined by what sampling method was used on the population.

Accepted Answer

A) True 
 B)False

Question 7

Multistage cluster sampling allows you to:

Accepted Answer

A)   group people into units or entities into clusters.
B)   maintain a sampling method that is still random.
C)   create as many stages as you deem necessary.
D)   All of these are correct.

Question 8

What is a reason why you would not use nonprobability sampling over probability sampling?

Accepted Answer

A)   You're interested in an immediate population.
B)   Your study includes a "hidden" population for which no sampling frame existed.
C)   You want to test an intervention for its internal validity.
D)   Specific demographic factors were necessary components to your research question's representativeness.

Question 9

What is not true about population sampling?

Accepted Answer

A)   Sampling technique will vary depending on the type of study.
B)   A relatively small sample size can still represent a population.
C)   It always accurately portrays the population.
D)   It can be used to make predictions about the population.

Question 10

Why would it benefit you to use systematic random sampling over simple random sampling?

Accepted Answer

A)   It could account for a pattern or sequence in your sampling that introduces a bias.
B)   It ensures that an element has a chance of not being selected.
C)   You know how to integrate a quotient into your sampling interval.
D)   It has a higher generalizability yield.

Exam 10: Sampling Techniques