Deck 13: Sampling

Question 1

As a rule,probability sampling leads to a representative sample.

Answer 1

True

Question 2

Based on the desired accuracy and reliability of the research results,we can determine a desired sample size by a formula.The desired sample size is adjusted (and we then speak of an adjusted n)when:

A)The sample size is greater than 1000 persons.
B)The sample size is greater than 50 percent of the population.
C)The sample size is greater than 1 percent of the population.
D)None of the above answers is correct.

Answer 2

B

Question 3

Simple random sampling is a method associated with a high degree of generalizability.

Answer 3

True

Question 4

A researcher who investigates the relationship between the bonus program of AH (a supermarket chain)and the loyalty at AH,collects his data by approaching people passing an AH branch store on several daily periods. The method used by this researcher to draw a sample is called:

A)Convenience sampling.
B)Simple random sampling.
C)Stratified sampling.
D)Quota sampling.

Question 5

Cluster sampling is the least representative probability sampling design.

Question 6

Which of the following sampling designs is a form of non-probability sampling?

A)Systematic sampling.
B)Area sampling.
C)Quota sampling.
D)Cluster sampling.

Question 7

If a sample is subdivided into subsamples,a minimal sample size of 10 is necessary for every subsample.

Question 8

Snowball sampling and Quota sampling are both non-probability sampling techniques.

Question 9

Non-probability sampling leads to findings that are highly generalizable.

Question 10

If your objective is to compose a representative sample,what kind of sampling technique would you choose?

A)Simple random sampling.
B)Judgment sampling.
C)Convenience sampling.
D)Quota sampling .

Question 11

A disadvantage of cluster sampling is that it:

A)Is the least efficient form of probability sampling.
B)Requires homogeneous subgroups.
C)Takes a lot of time to collect data.
D)Is not easy to execute.

Question 12

The most important disadvantage of a convenience sample is that:

A)It takes a lot of time and effort to find respondents.
B)The research results are cannot be generalized.
C)It will introduce a systematic 'bias' in the data.
D)This way of sampling is relatively expensive.

Question 13

In probability sampling all elements of a population have a known and equal change to be included in the sample.

Question 14

Snowball sampling and judgment sampling are both non-probability sampling techniques.

Question 15

When representativity is an important criterion for a study,which sampling technique would you choose?

A)Systematic sampling.
B)Judgment sampling.
C)Quota sampling.
D)Convenience sampling.

Question 16

Stratified sampling and cluster sampling are examples of probability sampling.

Question 17

What is the least reliable and least efficient probability sampling technique?

A)Systematic sampling.
B)Proportionate stratified sampling.
C)Disproportionate stratified sampling.
D)Cluster sampling.

Question 18

If all elements in the population are seen as equal and every element has an equal chance of being chosen,we speak of:

A)Simple random sampling.
B)Systematic sampling.
C)Stratified random sampling.
D)Cluster sampling.

Question 19

The bigger the sample size,the better.

Question 20

Convenience sampling and quota sampling are examples of probability sampling.

Question 21

From statistical considerations the preference is given to probability sampling over non-probability sampling.

Question 22

A researcher wants to investigate the relationships between the use of drugs and study results of university students.He would like to generalize the results to the population.Which kind of sample could the researcher best use?

A)Stratified sampling
B)Judgment sampling
C)Simple random sampling
D)Quota sampling

Question 23

If a sample is subdivided into subsamples,a minimal sample size of 30 is necessary for every subsample.

Question 24

Probability sampling is seen as less representative for the population than non-probability sampling.

Question 25

With systematic sampling one divides the population into subgroups and chooses the test subject randomly from a number of randomly chosen subgroups.