Research process multiple choice questions
Research process multiple choice questions
Lesson 8
1. The chief aim of sampling is to be able to select

simple random samples

a sample whose statistics will accurately portray an unknown population parameter

a sample whose parameters will accurately portray an unknown population statistic

a sample whose statistics will accurately portray a known population parameter

a sample whose unknown statistics will accurately portray a know parameter
2. A study population is

the theoretical and hypothetical aggregation of all elements as defined for a given survey

the theoretically specified aggregation of survey elements

that aggregation of elements from which the sample is actually selected

that aggregation or set of elements considered for selection in some stage of sampling

that aggregation of elements from which information is collected
3. The unit about which information is collected and that provides the basis of analysis is called a(n)

universe

sampling unit

statistic

sampling frame

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

Ture

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

True

False
6. Non probability sampling

always produces samples that possess distorted characteristics relative to the population

denies the researche the use of statistical theory to estimate the probability of correct inferences

should never be used under any circumstances

includes stratified sampling

requires the use of sampling frames
7. Sample all the students in your research methods class. What kind of sampling design are you using?

simple random sampling

quota sampling

cluster sampling

stratified sampling

reliance on available subjects
8. Drawing a judgemental sample

allows researchers to use their prior knowledge about the topic.

Enlists the aid of uninformed respondents

Results in a sample that has no researcher bias

Ensures a representative sample.

Requires the development of a quota matrix
9. 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 introdused 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

snowball sampling.

Systematic sampling

Deviant cases sampling

Accidental sampling

Quota sampling’
10. 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?

deviant cases.

Quota sampling

Stratified sampling

Snowball sampling

Cluter sampling
11. A researcher discovers that in a particular city 10% of the households are headed by a single person and that 90% of the families are husbandwife families. The researcher sends out interviewers an tells them to conduct 80 interviews and that 10% of these interviews should be with families that are headed by a single person, and 90% should be with husbandwife families. This researcher is using

simple random sampling

quota sampling

cluster sampling

stratified sampling

accidental sampling
12. In general, as sample size increases

the standard error increases in size

the standard error decreases in size

the standard error will remain the same regardless of changes in sample size

the standard error is a constant

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

True

False
14. Probability samples are advantageous to the researcher because

the method by which they are selected limits consious and unconscious sampling bias

the accuracy or representativeness of the sample can be estimated

they are perfectly representative of the population from which they are drawn

all of these choices indicate the advantages of probability sampling

the method by which they are selected limits conscious and unconscious sampling bias and the accuracy or representativenes of the sample can be estimated
15. A summary description of a given variable in a survey sample is called a

variable

parameter

confidence level

confidence interval

statistic
16. If two samples of the same size are drawn from the same population using simple random sampling, it follows that they will have the same statistics.

True

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

True

False
18. Stratification represnets a modification to rather than an alternative to simple random sampling and systematic sampling.

True

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

True

False
20. You want to select a sample of 250 people from a population of 30,000. To use the table of random numbers you need to work with a

250 digit number

3 digit number

4 digit number

5 digit number

6 digit number
21. 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?

5

50

100

200

1000
22. Every kth element in a list is chosen for inclusion in the sample in

simple random sampling

systematic sampling

disproportionate sampling

cluster sampling

stratified sampling
23. Periodicity is particularly important in

Simple random sampling

Availability sampling

Stratified sampling

Quota sampling

Systematic sampling
24. You are doing research on hospital personnelorderlies, 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

simple random sampling

quota sampling

cluster sampling

stratified sampling

accidental sampling
25. Stratifying a population prior to drawing a sample

generally occurs when the variables used to stratify are known to be associated with the dependent variable

eliminates the need for simple random sampling

is most useful for studying a homogeneous population

eliminates the need for probabiity sampling

is an alternative systematic sampling
26. A disadvantage of stratified sampling is that it

denies you the use of probability theory

requires you to have some prior knowledge about the elements in the population prior to drawing the sample

usually increases the standard error

usually requires samples that are larger in size than those required by simple random sampling

none of these choices is a disadvantage of stratified sampling
27. Multistage sampling design tend to have smaller sampling errors than singlestage sampling designs..

True

False
28. To ensure a sufficient number of cases from strata of varying sizes, researchers use.

simple random sampling

systematic sampling

proportionate sampling

disproportionate sampling

quota sampling
29. Disproportionate sampling and weighting are used by the researcher

to ensure a sufficient number of cases in each of the sample subpopulations

to give a proportionate representation to each sample element

to procide a representative picture of the total population

to handle situations involving the errors and approximation that are often inherent in complex, multistage designs

all of these choices are correct
30. Professor Alec O. Howlick is studying the incoming (freshmen) student drinking behavior at Boozemen State University in Boozemen, Kansas. Every incoming freshmen is required to have a university email address. After obtaining a list of all incoming freshmen students email addresses, he numbered every email address from 1 to 4,000. Using a randomnumber table, he obtained a sample of 200 freshman email addresses. He then emailed students requesting them to take an online survey. He also had two followup email reminders. A total of 180 students took the online survey.
(1) What is Howlick’s sampling frame?
a. the drinking behavior of students
b. incoming freshmen telephone numbers
c. student freshmen email addresses
d. Boozemen State University
(2) What is Drunkman’s population?
a. all students living in Boozemen, Kansas
b. all students enrolled in Boozemen State University
c. students who drink alcohol in Boozemen, Kansas
d. all incoming freshmen at Boozemen State University
(3) What type of sampling did Professor Howlick use?
a. stratified random sample
b. simple random sample
c. cluster sample
d. sequential sample
Research process multiple choice questions
Lesson 8
1. The chief aim of sampling is to be able to select

simple random samples

a sample whose statistics will accurately portray an unknown population parameter

a sample whose parameters will accurately portray an unknown population statistic

a sample whose statistics will accurately portray a known population parameter

a sample whose unknown statistics will accurately portray a know parameter
2. A study population is

the theoretical and hypothetical aggregation of all elements as defined for a given survey

the theoretically specified aggregation of survey elements

that aggregation of elements from which the sample is actually selected

that aggregation or set of elements considered for selection in some stage of sampling

that aggregation of elements from which information is collected
3. The unit about which information is collected and that provides the basis of analysis is called a(n)

universe

sampling unit

statistic

sampling frame

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

Ture

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

True

False
6. Non probability sampling

always produces samples that possess distorted characteristics relative to the population

denies the researche the use of statistical theory to estimate the probability of correct inferences

should never be used under any circumstances

includes stratified sampling

requires the use of sampling frames
7. Sample all the students in your research methods class. What kind of sampling design are you using?

simple random sampling

quota sampling

cluster sampling

stratified sampling

reliance on available subjects
8. Drawing a judgemental sample

allows researchers to use their prior knowledge about the topic.

Enlists the aid of uninformed respondents

Results in a sample that has no researcher bias

Ensures a representative sample.

Requires the development of a quota matrix
9. 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 introdused 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

snowball sampling.

Systematic sampling

Deviant cases sampling

Accidental sampling

Quota sampling’
10. 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?

deviant cases.

Quota sampling

Stratified sampling

Snowball sampling

Cluter sampling
11. A researcher discovers that in a particular city 10% of the households are headed by a single person and that 90% of the families are husbandwife families. The researcher sends out interviewers an tells them to conduct 80 interviews and that 10% of these interviews should be with families that are headed by a single person, and 90% should be with husbandwife families. This researcher is using

simple random sampling

quota sampling

cluster sampling

stratified sampling

accidental sampling
12. In general, as sample size increases

the standard error increases in size

the standard error decreases in size

the standard error will remain the same regardless of changes in sample size

the standard error is a constant

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

True

False
14. Probability samples are advantageous to the researcher because

the method by which they are selected limits consious and unconscious sampling bias

the accuracy or representativeness of the sample can be estimated

they are perfectly representative of the population from which they are drawn

all of these choices indicate the advantages of probability sampling

the method by which they are selected limits conscious and unconscious sampling bias and the accuracy or representativenes of the sample can be estimated
15. A summary description of a given variable in a survey sample is called a

variable

parameter

confidence level

confidence interval

statistic
16. If two samples of the same size are drawn from the same population using simple random sampling, it follows that they will have the same statistics.

True

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

True

False
18. Stratification represnets a modification to rather than an alternative to simple random sampling and systematic sampling.

True

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

True

False
20. You want to select a sample of 250 people from a population of 30,000. To use the table of random numbers you need to work with a

250 digit number

3 digit number

4 digit number

5 digit number

6 digit number
21. 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?

5

50

100

200

1000
22. Every kth element in a list is chosen for inclusion in the sample in

simple random sampling

systematic sampling

disproportionate sampling

cluster sampling

stratified sampling
23. Periodicity is particularly important in

Simple random sampling

Availability sampling

Stratified sampling

Quota sampling

Systematic sampling
24. You are doing research on hospital personnelorderlies, 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

simple random sampling

quota sampling

cluster sampling

stratified sampling

accidental sampling
25. Stratifying a population prior to drawing a sample

generally occurs when the variables used to stratify are known to be associated with the dependent variable

eliminates the need for simple random sampling

is most useful for studying a homogeneous population

eliminates the need for probabiity sampling

is an alternative systematic sampling
26. A disadvantage of stratified sampling is that it

denies you the use of probability theory

requires you to have some prior knowledge about the elements in the population prior to drawing the sample

usually increases the standard error

usually requires samples that are larger in size than those required by simple random sampling

none of these choices is a disadvantage of stratified sampling
27. Multistage sampling design tend to have smaller sampling errors than singlestage sampling designs..

True

False
28. To ensure a sufficient number of cases from strata of varying sizes, researchers use.

simple random sampling

systematic sampling

proportionate sampling

disproportionate sampling

quota sampling
29. Disproportionate sampling and weighting are used by the researcher

to ensure a sufficient number of cases in each of the sample subpopulations

to give a proportionate representation to each sample element

to procide a representative picture of the total population

to handle situations involving the errors and approximation that are often inherent in complex, multistage designs

all of these choices are correct
30. Professor Alec O. Howlick is studying the incoming (freshmen) student drinking behavior at Boozemen State University in Boozemen, Kansas. Every incoming freshmen is required to have a university email address. After obtaining a list of all incoming freshmen students email addresses, he numbered every email address from 1 to 4,000. Using a randomnumber table, he obtained a sample of 200 freshman email addresses. He then emailed students requesting them to take an online survey. He also had two followup email reminders. A total of 180 students took the online survey.
(1) What is Howlick’s sampling frame?
a. the drinking behavior of students
b. incoming freshmen telephone numbers
c. student freshmen email addresses
d. Boozemen State University
(2) What is Drunkman’s population?
a. all students living in Boozemen, Kansas
b. all students enrolled in Boozemen State University
c. students who drink alcohol in Boozemen, Kansas
d. all incoming freshmen at Boozemen State University
(3) What type of sampling did Professor Howlick use?
a. stratified random sample
b. simple random sample
c. cluster sample
d. sequential sample