Deck 7: The Logic of Sampling

Question 1

Drawing a judgmental sample:

A)allows researchers to use their prior knowledge about the population.
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.

Answer 1

A

Question 2

The unit about which information is collected and that provides the basis of analysis is called a(n):

A)universe.
B)sampling unit.
C)statistic.
D)sampling frame.
E)element.

Answer 2

E

Question 3

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.

Answer 3

B

Question 4

A sampling interval of 5 was used to select a sample from a population of 1000.How many elements are to be in the sample?

A)5
B)50
C)100
D)200
E)1000

Question 5

You want to examine the relationship between family size and family cohesion.You use as your sample all the students in your 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)Reliance on available subjects

Question 6

Disproportionate sampling and weighting are used by the researcher:

A)to ensure a sufficient number of cases in each of the sample subpopulations.
B)to give a proportionate representation to each sample element.
C)to provide a representative picture of the total population.
D)to handle situations involving the errors and approximation that are often inherent in complex,multistage designs.
E)to ensure a sufficient number of cases in each of the sample subpopulations;to give a proportionate representation to each sample element;to provide a representative picture of the total population;and to handle situations involving the errors and approximation that are often inherent in complex,multistage designs.

Question 7

After taking a random start between 1 and 20 and then taking every 20th element from the sampling frame,Smith learned that 40% of the sample believed the company's president was doing a good job.The calculated standard error was 3 percent.This means that:

A)between 37% and 43% of the employees believe the president is doing a good job.
B)you are 95% certain that between 37% and 43% of the employees believe the president is doing a good job.
C)you are 68% certain that between 37% and 43% of the employees believe the president is doing a good job.
D)you are 99% certain that between 37% and 43% of the employees believe the president is doing a good job.
E)none of these choices are correct.

Question 8

is the general term for samples selected in accord with probability theory.

A)Probability sampling
B)Nonprobability sampling
C)Correlation
D)Theory
E)Snowball sampling

Question 9

A summary description of a given variable in a survey sample is called a:

A)variable.
B)parameter.
C)confidence level.
D)confidence interval.
E)statistic.

Question 10

A researcher who uses a list of registered voters as a sampling frame,and selects every 5^th person on the randomized list is engaging in what kind of sampling?

A)Systematic
B)Stratified
C)Simple random
D)Quota
E)Multistage cluster

Question 11

Dr.Chang is conducting a research study of undergraduate students at her college.She wants to ensure an equal number of students from each grade level,so she uses the list of all students provided by the registrar's office.From each list,she randomly selects 50 students from each group.What strategy of sampling is Dr.Chang using?

A)Simple random sampling
B)Quota sampling
C)Cluster sampling
D)Stratified sampling
E)Accidental sampling

Question 12

Dr.Smith is instructing his graduate students to put together a sample for an upcoming research study of college students.The graduate students were asked to stand outside of the student union to solicit participants,finding 50 freshmen,50 sophomore,50 juniors,and 50 seniors.What sort of sampling method is being used?

A)Simple random sampling
B)Quota sampling
C)Cluster sampling
D)Stratified sampling
E)Accidental sampling

Question 13

The chief aim of probability sampling is to be able to select:

A)a sample whose parameters are representative of an unknown population parameter.
B)a sample whose statistics will accurately portray an unknown population parameter.
C)a sample whose parameters will accurately portray an unknown population statistic.
D)a sample whose statistics will accurately portray a known population parameter.
E)a sample whose unknown statistics will accurately portray a known parameter.

Question 14

In general,as sample size increases:

A)the standard error increases in size.
B)the standard error decreases in size.
C)the standard error will remain the same regardless of changes in sample size.
D)the standard error is a constant.
E)the standard error fluctuates in size.

Question 15

To ensure a sufficient number of cases from strata of varying sizes,researchers use:

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

Question 16

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.
E)is an alternative systematic sampling.

Question 17

Probability samples are advantageous to the researcher because:

A)the method by which they are selected limits conscious and unconscious sampling bias.
B)the accuracy or representativeness of the sample can be estimated.
C)they are perfectly representative of the population from which they are drawn.
D)all of these choices indicate the advantages of probability sampling.
E)the method by which they are selected limits conscious and unconscious sampling bias and the accuracy or representativeness of the sample can be estimated.

Question 18

Nonprobability sampling:

A)always produces samples that possess distorted characteristics relative to the population.
B)denies the researcher the use of statistical theory to estimate the probability of correct inferences.
C)should never be used under any circumstances.
D)includes stratified sampling.
E)requires the use of sampling frames.

Question 19

In terms of probability theory,the standard error is valuable because:

A)it is an estimate of the parameter.
B)it permits us to estimate the degree of error to be expected in a sample design.
C)it indicates the extent to which the sample estimates will be distributed around the population parameter.
D)it is an estimate of the parameter and it permits us to estimate the degree of error to be expected in a sample design.
E)it permits us to estimate the degree of error to be expected in a sample design and it indicates the extent to which the sample estimates will be distributed around the population parameter.

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

Multistage sampling designs tend to have smaller sampling errors than single-stage sampling designs.

Question 22

When selecting variables for stratification,it is best to select variables that:

A)stratify based on gender.
B)stratify based on age.
C)stratify based on the variables you want to represent.
D)stratify in order to achieve equally sized group.
E)always stratify into at most three groups.

Question 23

Statistical computations assume that you have done:

A)simple random sampling.
B)systematic sampling.
C)cluster sampling.
D)stratified sampling.
E)any one of these choices.

Question 24

Periodicity is particularly important in:

A)simple random sampling.
B)availability sampling.
C)stratified sampling.
D)quota sampling.
E)systematic sampling.

Question 25

Snowball sampling would be an effective strategy for a researcher to use if a researcher was interested in studying a population of gang members.

Question 26

In a sample stratified by gender,the sampling error on this variable is reduced to zero.

Question 27

If possible,always sampling from the entire general population is preferable.

Question 28

Professor Hall was planning to do a field study of hitchhikers.Hall wanted to be sure that persons representing all different age,racial,and sex categories were included in the sample of hitchhikers.What kind of sampling scheme would you recommend?

A)Deviant cases
B)Quota sampling
C)Stratified sampling
D)Snowball sampling
E)Cluster sampling

Question 29

Field researchers are often interested in studying deviant cases in order to improve their understanding of the more typical pattern.

Question 30

A disadvantage of stratified sampling is:

A)that it denies you the use of probability theory.
B)that it requires you to have some prior knowledge about the elements in the population prior to drawing the sample.
C)that it usually increases the standard error.
D)that it usually requires samples that are larger in size than those required by simple random sampling.
E)not mentioned in any of these choices.

Question 31

If a field researcher wanted to learn a political organization's pattern of recruitment over time,the researcher might begin by interviewing a fairly recent recruit and ask who introduced that person to the organization.Then the researcher might interview the person named and ask who introduced that person to the political organization.This would be an example of:

A)snowball sampling.
B)systematic sampling.
C)deviant cases sampling.
D)accidental sampling.
E)quota sampling.

Question 32

Sampling error is reduced through an increase in the sample size and an increased homogeneity of the elements being sampled.

Question 33

Which of the following statements about informants is FALSE?

A)An informant is a member of the group that you want to study.
B)You usually want to select informants who are somewhat typical of the group that you are studying.
C)Informants are often marginal within their group.
D)Informants are useful in field research.
E)The terms informant and respondent are interchangeable.

Question 34

Which of the following statements is FALSE?

A)If all the members of a population were identical there would be no need for sampling.
B)In cases of perfect homogeneity a single case could represent an entire population.
C)The human beings who compose any real population are similar.
D)Because elements within the population typically differ,we need to do careful sampling.
E)All of these statements are TRUE.

Question 35

A confidence interval at the 68% confidence level will be larger than one constructed at the 95% confidence level.

Question 36

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

Question 37

Samantha reports that 60 percent of the first year students at her university think they should be able to bring a car to campus.She also notes that she is 95 percent certain that between 50 and 70 percent of the first year students agree.Which of the following statements is FALSE?

A)The range from 50 to 70 percent is a confidence interval.
B)95 percent refers to her confidence level.
C)60 percent is a statistic.
D)She could be 99 percent certain that between 55 and 65 percent of the first year students agree.
E)All of these choices are TRUE.

Question 38

Through a review of records,Rebecca was able to determine that the mean age of the population she was studying was 23.4 years old.This is known as a(n)

A)statistic.
B)inference.
C)parameter.
D)confidence interval.
E)confidence level.

Question 39

Tammy wants to do a telephone survey and she turns to you for help.Which of the following statements would mislead her?

A)Cell phone numbers are typically not included in phone surveys.
B)People who use cell phones exclusively tend to be younger.
C)There is a class bias in using telephone directory samples.
D)Telephone directories are an excellent listing of a city's population.
E)None of these statements would mislead Tammy.

Question 40

A study population is:

A)the theoretical and hypothetical aggregation of all elements as defined for a given survey.
B)the theoretically specified aggregation of survey elements.
C)that aggregation of elements from which the sample is actually selected.
D)that aggregation or set of elements considered for selection in some stage of sampling.
E)that aggregation of elements from which information is collected.

Question 41

Your friend is trying to decide whether to select a small probability sample or a large availability sample.He asks for your recommendation.What do you recommend?

Question 42

If a population were perfectly homogeneous,a single case could represent the entire population.

Question 43

Findings based on a sample can be taken as representing the elements that compose the sampling frame.

Question 44

A stratified sample is more likely to be representative on several variables than is a simple random sample.

Question 45

You notice that neither you nor anyone in your family has ever been included in a political poll conducted for the media.How do you explain this fact?

Question 46

Stratification represents a modification to rather than an alternative to simple random sampling and systematic sampling.

Question 47

Simple random sampling is the most effective way to further understand uncommon populations.

Question 48

In a situation of perfect homogeneity there is little need to be concerned with careful sampling procedures.

Question 49

When would it be preferable to use a non probability sample? Why would we need to do so? What concerns or limitations would we have to deal with? Give examples.

Question 50

Telephone directories are notorious for being inadequate sampling frames for public opinion polls.What problems are associated with using the telephone directory as a sampling frame in a public opinion poll?

Question 51

The size of the population must be taken into account when deciding on sample size.

Question 52

Each stage in cluster sampling adds additional sampling error that must be taken into account.

Question 53

We typically sample with replacement.