Deck 15: Sampling

Question 1

The unit about which information is collected and which provides the basis of analysis is called​

A) ​universe.
B) sampling unit.​
C) unit of analysis.​
D) sampling frame.​
E) ​element.

Answer 1

E

Question 2

To obtain samples of the same size from strata of varying sizes, it would be necessary to use​

A) ​simple random sampling.
B) systematic sampling.​
C) proportionate sampling.​
D) disproportionate sampling.​
E) ​quota sampling.

Answer 2

D

Question 3

It is very conceivable that samples of the same size drawn from the same population using simple random sampling may not have exactly the same statistics.​

Answer 3

True

Question 4

A researcher randomly selects cities, then randomly selects churches in each selected city, and the randomly selects members to be interviewed in each selected church. This research is using​

A) ​simple random sampling.
B) quota sampling.​
C) multistage cluster sampling.​
D) stratified sampling.​
E) ​accidental sampling.

Question 5

Stratifying a population prior to drawing a sample​

A) ​generally occurs when the variables used to stratify are known to be associated with the dependent variable.
B) eliminates the need for simple random sampling.​
C) is most useful for studying a homogeneous population.​
D) eliminates the need for probability sampling.​

Question 6

Which of the following statements is true about probability samples?​

A) ​They avoid conscious and unconscious sampling bias.
B) They do NOT permit the estimation of the accuracy or representativeness of the sample.​
C) They are perfectly representative of the population from which they are drawn.​
D) They are more risky than non-probability samples.​
E) ​a and b only are correct.

Question 7

Selecting a sample that the researcher believes will yield the most comprehensive understanding of a subject based on the researcher's knowledge of the population is employing purposive or judgmental sampling.

Question 8

Generalizing about how male batterers view women based on a sample of male batterers is an example of gender bias in sampling.​

Question 9

A sampling interval of 10 was used to select a sample from a population of 5,000. How many elements are to be in the sample?​

A) ​10
B) 50​
C) 500​
D) 100​
E) ​1,000

Question 10

In general, as sample size increases​

A) ​sampling error increases.
B) sampling error decreases.​
C) sampling error will remain the same regardless of changes in sample size.​
D) measurement error decreases.​

Question 11

Generalizing about victims of spouse abuse based on a sample of battered wives is an example of gender bias in sampling..​

Question 12

In qualitative research, the informants selected should usually be somewhat typical of the groups being studied.​

Question 13

Sampling error is reduced through an increase in the sample size.​

Question 14

Multistage cluster sampling is the best sampling procedure for small populations that are geographically close to one another.​

Question 15

Generally, the more heterogeneous the population, the more beneficial it is to use stratified sampling.​

Question 16

Studies that use non-probability sampling techniques never produce useful findings.​

Question 17

The general guideline for the cluster design is to minimize the number of clusters selected while increasing the number of elements within each cluster.​

Question 18

Multistage cluster sampling requires a complete listing of all the elements in a population.​

Question 19

Drawing a judgmental sample​

A) ​allows researchers to use their prior knowledge about the topic.
B) ​enlists the aid of uninformed respondents.
C) ​results in a sample that has no researcher bias.
D) ​ensures a representative sample.
E) ​requires the development of a quota matrix.

Question 20

You are doing research on hospital personnel-orderlies, technicians, nurses, and doctors. You want to be sure you draw a sample that has cases in each of the personnel categories. You want to use probability sampling. An appropriate strategy would be​

A) ​simple random sampling.
B) quota sampling.​
C) cluster sampling.​
D) stratified sampling.​
E) ​accidental sampling.

Question 21

You want to examine the relationship between family size and family cohesion. You use as your sample all the students in this research methods class. What kind of sampling design are you using?​

A) ​simple random sampling.
B) quota sampling.​
C) cluster sampling.​
D) stratified sampling.​
E) available sampling.​

Question 22

Compare probability designs with nonprobability designs. Identify the kinds of sampling designs available within each of these major categories. Explain a situation in which it would be more appropriate to use probability sampling and one in which nonprobability sampling would be preferred.​

Question 23

Every kth element in a list is chosen for inclusion in the sample in​

A) ​simple random sampling.
B) systematic sampling.​
C) disproportionate sampling.​
D) cluster sampling.​
E) ​stratified sampling.

Question 24

What is the basic logic of probability sampling? How do such concepts as homogeneity, heterogeneity, sampling bias, representativeness, and probability of selection fit into this logic?​

Question 25

Telephone directories are notorious for being inadequate sampling frames. Suppose the population were defined as "all telephone subscribers in the directory's service area." What criticisms could you make of the telephone directory as a sampling frame?​