Deck 6: Sampling: Who, What, and How Many

Question 1

In ______ sampling, every unit has an equal chance of being selected.

A) convenience
B) judgmental
C) network
D) probability

Answer 1

D

Question 2

Which of the following sampling methods is a probability sampling method?

A) convenience
B) purposive
C) volunteer
D) stratified random sampling

Answer 2

D

Question 3

The interval selected for systematic sampling is called the sampling interval.

Answer 3

True

Question 4

Which of the following sampling methods is a nonprobability sampling method?

A) snowball sampling
B) lotteries
C) random sampling
D) stratified random sampling

Question 5

Standard error ______ as sample size decreases.

A) stays the same
B) increases
C) decreases
D) changes unpredictably

Question 6

Every single unit of a group you want to study makes up a ______.

A) sample
B) sampling frame
C) survey
D) population

Question 7

Snowball or network sampling relies on ______.

A) random sampling
B) identifying every member of a group
C) members of a group introducing the researcher to other members of the group
D) stratified sampling

Question 8

What are some examples of random sampling?

A) throwing dice, drawing names out of a hat, and convenience sampling
B) throwing dice, drawing names out of a hat, and lotteries
C) convenience sampling, drawing names out of a hat, and lotteries
D) quota sampling, drawing names out of a hat, and lotteries

Question 9

Random sampling ensures that a sample will ______.

A) include individuals with unlisted phone numbers
B) be of the correct size
C) have individual units, each with an equal probability of being selected
D) be diverse

Question 10

Multistage cluster sampling works by sampling progressively smaller sampling frames.

Question 11

A study that includes every member of a population is a ______.

A) sample
B) random sample
C) sampling frame
D) census

Question 12

Sampling frames are the ______.

A) master lists from which a sample is selected
B) sample selected for study
C) geographic areas of the samples selected for study
D) population sampled for study

Question 13

The interval selected for systematic sampling is called the ______ interval.

A) systematic
B) population
C) critical
D) sampling

Question 14

Standard error decreases as sample size decreases.

Question 15

Snowball sampling occurs when ______.

A) researchers want to increase their sample size
B) individuals in a sample identify other individuals suitable for the sample
C) researchers repeat the study again and again
D) individuals in a sample get invited back into further research projects

Question 16

Stratified random sampling is a way to ensure that ______.

A) individuals important to the researcher are selected into a sample
B) research participants have a chance to nominate other individuals to join the study
C) small but important subgroups of a population are captured in a sample
D) research participants have an opportunity to shape the research project

Question 17

Sample size depends on all of these EXPECT ______.

A) the nature and purpose of the research
B) the level of confidence needed in the research results
C) the homogeneity of the sampled population
D) style of questions in the survey

Question 18

What two things govern the size of your sample if you want to generalize from the sample to a wider population?

A) size of the population and level of error you are prepared to live with
B) homogeneity of the population and size of the population
C) homogeneity of the population and level of error you are prepared to live with
D) the sampling interval and homogeneity of the population

Question 19

Convenience sampling is sampling based on convenience to ______.

A) the research participants
B) funding agencies
C) the researcher
D) the researcher and the research participants

Question 20

What are sampling units?

A) individual researchers who do the sampling b individual units selected for study
C) geographic units from which individuals are selected
D) lists from which individual research participants are selected

Question 21

Generally, larger sample sizes reduce sampling error.

Question 22

Probability samples are based on a sampling judgment by the researcher.

Question 23

To pilot a survey is to run it a second time after a survey to check for any changes.

Question 24

A concern with Internet sampling frames is that there is no comprehensive directory of or standard format for email addresses.

Question 25

Snowball sampling strives to obtain representative samples that statistically represent the overall population.

Question 26

Sampling frames are the master lists from which a population is selected.

Question 27

Convenience, judgmental, quota, network, and snowball are all types of nonprobability sampling.

Question 28

A sample consists of every individual of a type you want to study.

Question 29

Ethical considerations might influence your sampling style.

Question 30

A concern with Internet sampling frames is that not every email user has an equal chance of being sampled.

Question 31

Convenience sampling is named that due to the convenience for the researcher.

Question 32

Stratified random sampling means sampling every nth person on a list.

Question 33

Snowball sampling attempts to replicate in a sample the features that the researcher thinks are important in the population.

Question 34

Random digit dialing is a procedure for selecting households with publicly listed telephone numbers.

Question 35

An advantage of a volunteer sample is they're more likely to assist with an issue or engage in activism.

Question 36

In random sampling, the researcher is not the agent of selection, it's all "luck of the draw."

Question 37

The basic assumption behind probability sampling is that the sample will reflect the broader population from which it is drawn.

Question 38

A random number generator would likely be used in volunteer sampling.

Question 39

Quota sampling is one type of purposive sampling.

Question 40

Findings from web-based surveys may not be generalizable to the wider population.

Question 41

One drawback of snowball sampling is friends may recommend friends for the study, and their opinions might be very similar.

Question 42

Explain the basic concept of random sampling, with examples of how you might do random sampling for a research project that interests you.

Question 43

Explain the advantages and disadvantages of sampling from a list of postal addresses and a list of email addresses.

Question 44

Probability samples are based on a judgment by the researcher.

Question 45

Explain the difference between random sampling and stratified random sampling.

Question 46

Ethical considerations might influence the number of people in your sample.

Question 47

Convenience sampling is useful for pretesting a study.

Question 48

Explain the differences among a population, a census, and a sample.

Question 49

One issue with postal sampling frames is the high response rates.

Question 50

"A survey of 1,000 people will provide more insight on human communication than interviews with 10 people." Support or refute that statement.

Question 51

Explain the difference between nonprobability and probability sampling and why the difference is important.

Question 52

Explain how you might accurately capture public opinion in a public-opinion survey. What type of sampling would be best for this?

Question 53

One challenge with traditional telephone sampling frames is many households no longer have a landline.

Question 54

Identify and discuss the thinking that should go into deciding on a sample size that will provide credible research results.

Question 55

Nonprobability samples are based on a judgment by the researcher.

Question 56

Explain the basic idea of a sampling frame, with examples of how you might develop one for a research topic of interest to you.

Question 57

Postal sampling frames are particularly useful for in-person surveys.

Question 58

One issue with postal sampling frames is its slow turnaround.

Question 59

Explain, with examples, what is meant by the term stratified random sampling.

Question 60

The biggest challenge of Internet sampling is the difficulty in developing an Internet sampling frame.