Deck 5: Sampling
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Deck 5: Sampling
1
After the death of Freddie Gray, there were protests at Baltimore City Hall. If we wanted to gain understanding of those involved in the protest, but could not interview everyone, we could interview a subset of protestors. What would that subset be called?
A) sample
B) component
C) population
D) elements
A) sample
B) component
C) population
D) elements
A
2
A study on violence in schools found that violence could be reduced through a LifeSkills program. This program was offered to one middle school and the researchers thought it would apply to all middle schools. Yet, this represents a problem with ______.
A) precision
B) generalizability
C) sampling units
D) enumeration units
A) precision
B) generalizability
C) sampling units
D) enumeration units
B
3
A study of prison behavior chose a sample of prisons and then a sample of inmates within each prison. The inmates are considered the ______ sampling units.
A) primary
B) tertiary
C) secondary
D) enumeration
A) primary
B) tertiary
C) secondary
D) enumeration
C
4
Dr. Smart wanted to draw a sample of households to identify the adults within those households. The adults are considered the ______ and the households are considered the ______.
A) sampling frame; enumeration units
B) elements; sampling frame
C) enumeration units; elements
D) elements; enumeration units
A) sampling frame; enumeration units
B) elements; sampling frame
C) enumeration units; elements
D) elements; enumeration units
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5
A professor sampled a group of students from New York City, but generalized his results to students from other schools, including schools in rural areas. This professor made an error in ______.
A) sample generalizability
B) sample reliability
C) cross-population generalizability
D) internal validity
A) sample generalizability
B) sample reliability
C) cross-population generalizability
D) internal validity
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6
Any difference between the characteristics of a sample and the characteristics of the population from which it was drawn is called the ______.
A) sampling units
B) target population
C) sampling error
D) obtained sample
A) sampling units
B) target population
C) sampling error
D) obtained sample
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7
A researcher is interested in surveying high school students within one school. This researcher obtains a list from the school's office of all the high school students that attend that school. What is this list called?
A) population
B) sampling unit
C) sampling frame
D) obtained sample
A) population
B) sampling unit
C) sampling frame
D) obtained sample
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8
When a researcher projects their theories onto groups or populations larger or different than those they have actually studied, this refers to that researcher's ______.
A) target population
B) sampling error
C) cross-population
D) sampling frame
A) target population
B) sampling error
C) cross-population
D) sampling frame
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9
While the sampling frame is a list of the elements of a population from which a sample actually is selected, the ______ is the actual sample that is selected.
A) desired sample
B) obtained sample
C) samping unit
D) enumeration unit
A) desired sample
B) obtained sample
C) samping unit
D) enumeration unit
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10
The larger the ______, the less representative the sample is of the population.
A) target population
B) sampling frame
C) obtained sample
D) sampling error
A) target population
B) sampling frame
C) obtained sample
D) sampling error
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11
Which of the following is NOT a way to minimize sampling error and increase sample quality?
A) Ensure the obtained sample is acceptable.
B) Sample should be as representative as possible to generalize to the population.
C) Collect a sample of convenience.
D) Population should be defined as well as possible.
A) Ensure the obtained sample is acceptable.
B) Sample should be as representative as possible to generalize to the population.
C) Collect a sample of convenience.
D) Population should be defined as well as possible.
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12
A researcher wanted to obtain a sample of college students from his university. Even though he wanted his sample to be representative of the entire student body, he asked the registrar for only the list of juniors and seniors. This is an example of a bad ______.
A) sampling frame
B) obtained sample
C) sampling unit
D) sample statistic
A) sampling frame
B) obtained sample
C) sampling unit
D) sample statistic
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13
Say we are interested in gathering a sample of adults from a town, but it is impossible to obtain a list of the entire population of the town. We may gather a list of residential addresses so that we can draw a sample of households. What are the adults in the households called?
A) elements
B) available population
C) sample components
D) enumeration units
A) elements
B) available population
C) sample components
D) enumeration units
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14
One researcher gathered a small sample from high school students from one school and generalized his results to the entire high school body of that school. Depending on the quality of the sample, the ______ may be compromised.
A) cross-population generalizability
B) sample reliability
C) sample generalizability
D) internal validity
A) cross-population generalizability
B) sample reliability
C) sample generalizability
D) internal validity
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15
A sample shaped by systematic sampling error is a(n) ______ sample.
A) underrepresented
B) compromised
C) biased
D) overrepresented
A) underrepresented
B) compromised
C) biased
D) overrepresented
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16
All of the following are probability sampling methods EXCEPT ______.
A) cluster sampling
B) simple random sampling
C) systematic random sampling
D) quota sampling
A) cluster sampling
B) simple random sampling
C) systematic random sampling
D) quota sampling
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17
Which of the following is the fundamental element of probability samples?
A) random selection
B) nonresponse
C) probability of selection
D) generalizability
A) random selection
B) nonresponse
C) probability of selection
D) generalizability
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18
If you were to flip a coin to decide which person wins and which one loses, heads and tails are equally likely to turn up in a coin toss. Because of this, both persons have an equal chance to win. In this example, the probability of selection is ______.
A) 0.5
B) 0.75
C) 0.25
D) 0.35
A) 0.5
B) 0.75
C) 0.25
D) 0.35
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19
Random selection refers to a sampling strategy when every element of a population is known and has an independent chance of being selected into the sample. This does not mean though that there is NO control over the sampling method. When there is no control over the sampling method, the sample would not be truly random. In such cases, probability sampling can be confused with a ______ method of sampling.
A) stratified
B) haphazard
C) disproportionate
D) systematic
A) stratified
B) haphazard
C) disproportionate
D) systematic
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20
Which of the following is NOT a problem related to random selection methods?
A) Inadequate response rate
B) Incomplete list of population elements
C) Lack of control over selection method
D) Every element of population is known
A) Inadequate response rate
B) Incomplete list of population elements
C) Lack of control over selection method
D) Every element of population is known
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21
Consider that you want to examine bullying at a high school. The list of high school students from the administrator's office is the ______, while the number of high school students included in your final sample is the ______.
A) obtained sample; sampling frame
B) sampling frame; obtained sample
C) sampling frame; desired sample
D) desired sample; sampling frame
A) obtained sample; sampling frame
B) sampling frame; obtained sample
C) sampling frame; desired sample
D) desired sample; sampling frame
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22
Which of the following does NOT increase the representativeness of a sample?
A) larger samples
B) homogeneous population
C) heterogeneous population
D) sample's fraction of the total population is large
A) larger samples
B) homogeneous population
C) heterogeneous population
D) sample's fraction of the total population is large
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23
Which of the following random samples does NOT require a sampling frame?
A) simple random sample
B) systematic random sample
C) stratified random sample
D) multistage cluster sample
A) simple random sample
B) systematic random sample
C) stratified random sample
D) multistage cluster sample
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24
After selecting and numbering the elements in her sampling frame, Tara decided to go to a website and used a systematic procedure for picking corresponding numbers from a random number table. Which type of random sample did she employ?
A) simple random sample
B) systematic random rample
C) stratified random sample
D) multistage cluster sample
A) simple random sample
B) systematic random rample
C) stratified random sample
D) multistage cluster sample
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25
In almost all sampling situations, systematic random sampling yields what is essentially a simple random sample. However, the differ based on the fact that the sequence of elements is affected by ______.
A) sampling interval
B) periodicity
C) random digit dialing
D) probability
A) sampling interval
B) periodicity
C) random digit dialing
D) probability
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26
Samples are easier to collect because of all the of the following EXCEPT ______.
A) less time needed
B) less money needed
C) less need for prior information
D) less need for control over sampling
A) less time needed
B) less money needed
C) less need for prior information
D) less need for control over sampling
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27
The National Crime Victimization Survey selects subjects by identifying rural counties or metropolitan areas as primary sampling units, then chooses geographic regions within these units, and then chooses addresses within the geographic regions. This is an example of ______.
A) simple random sampling
B) multistage cluster sampling
C) disproportionate stratified sampling
D) systematic random sampling
A) simple random sampling
B) multistage cluster sampling
C) disproportionate stratified sampling
D) systematic random sampling
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28
Replacement sampling is a method of sampling in which sample elements are returned to the sampling frame after being selected, so they may be sampled again. This type of sampling is associated with which type of random sampling procedure?
A) simple random sample
B) systematic random rample
C) stratified random sample
D) multistage cluster sample
A) simple random sample
B) systematic random rample
C) stratified random sample
D) multistage cluster sample
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29
Dr. Smart is interested in conducting a study on a previously understudied research setting. Which of the following sampling methods could be appropriate for the exploratory nature of her study?
A) simple random sample
B) multistage cluster sample
C) disproportionate stratified sample
D) availability sample
A) simple random sample
B) multistage cluster sample
C) disproportionate stratified sample
D) availability sample
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30
A study is conducted of gang recruitment and sources of intergang conflict. Using a contact at a local youth program, the researcher is able to meet each gang's leader. A prescreening questionnaire determines which gang leaders are knowledgeable in these areas and should be included in the sample. This sampling method would be termed ______.
A) availability sampling
B) quota sampling
C) multistage cluster sampling
D) purposive sampling
A) availability sampling
B) quota sampling
C) multistage cluster sampling
D) purposive sampling
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31
Suppose we are interested in investigating the crime of personal larceny with contact, which generally involves pocket picking and purse snatching. Because elderly citizens are disproportionately victimized by this crime, we would want to make sure we have enough elderly victims in our sample to make comparisons to younger cohorts. What type of sampling method would we use?
A) availability sampling
B) quota sampling
C) multistage cluster sampling
D) purposive sampling
A) availability sampling
B) quota sampling
C) multistage cluster sampling
D) purposive sampling
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32
In a study of juvenile gangs, researchers asked youth gang members that they already knew to refer them to others to interview. They engaged in which type of sampling method?
A) availability sampling
B) quota sampling
C) snowball sampling
D) purposive sampling
A) availability sampling
B) quota sampling
C) snowball sampling
D) purposive sampling
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33
Which of the following nonprobability sampling methods requires that the researcher know the characteristics of the entire population?
A) availability sampling
B) quota sampling
C) snowball sampling
D) purposive sampling
A) availability sampling
B) quota sampling
C) snowball sampling
D) purposive sampling
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34
Dr. Henry is interested in conducting a key informant survey of all those knowledgable of criminal justice policies in his community. According to your text, what type of sampling method would he most likely use?
A) availability sampling
B) quota sampling
C) multistage cluster sampling
D) purposive sampling
A) availability sampling
B) quota sampling
C) multistage cluster sampling
D) purposive sampling
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35
A researcher might conclude from a sample of 200 college students that he can be 95% confident that the true mean number of hours spent studying each week in the total population of college students is between 6 and 9 hours. The range from 6 to 9 hours represents which of the following?
A) confidence interval
B) sampling distribution
C) inferential statistic
D) confidence limits
A) confidence interval
B) sampling distribution
C) inferential statistic
D) confidence limits
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36
According to your text, which of the following would increase our confidence that the estimates derived from our sample are representative of the population?
A) diverse sample
B) heterogeneous sample
C) a larger sample
D) conventional sample
A) diverse sample
B) heterogeneous sample
C) a larger sample
D) conventional sample
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37
Random sampling error refers to variation between the population and the sample that is based on ______.
A) inferential statistics
B) sampling distribution
C) heterogeneity of sample
D) chance factors
A) inferential statistics
B) sampling distribution
C) heterogeneity of sample
D) chance factors
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38
Which of the following represents the upper and lower bounds around an estimate of a population parameter based on a sample statistic?
A) confidence interval
B) sampling distribution
C) inferential statistic
D) confidence limits
A) confidence interval
B) sampling distribution
C) inferential statistic
D) confidence limits
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39
To determine the generalizability of someone else's findings, we have to understand how and why researchers decide to sample.
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40
The ability to generalize our findings to a population depends on how well we collected the sample.
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41
A sampling technique can be improved by having an explicit definition of the population of interest.
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42
Sample quality can be determined by the amount of sampling units.
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43
Researchers interested in conducting an exploratory study would most likely use a probability sampling method.
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44
Nonprobability samples are typically more representative than probability samples.
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45
The main difference between a nonprobability sample and a probability sample are whether or not the population elements are known or unknown.
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46
Systematic bias can be eliminated if the sampling methods rely on the random selection of elements into the sample.
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47
Sampling methods that do not reveal the likelihood of selection in advance are probability sampling methods.
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48
Random selection techniques are compromised if a large portion of people that were asked do not participate.
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49
The fundamental element in a probability sample is the nonresponse of participants.
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50
The sampling frame for a city, state, or nation is always likely to be incomplete because of constant migration into and out of the area.
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51
Whereas multistage cluster requires more information than usual prior to sampling, stratified sampling requires less prior information.
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52
Systematic random sampling is a variant of simple random sampling but it is more time consuming.
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53
Sampling error is greater in a cluster sample than in a simple random sample.
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54
Nonprobability samples should not be used in quantitative studies if a probability-based method is feasible.
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55
Quota sampling is intended to overcome availability sampling's biggest downfall: the likelihood that the sample will just consist of who or what is available, without any concern for its similarity to the population of interest.
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56
Quota sampling requires that members of a population are interconnected in some way so that they can refer additional people for the researchers to interview.
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57
Availability samples can be biased because they may only include individuals interested in participating in the survey or interview.
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58
A graph of a normal distribution looks like a bell.
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59
Imagine you want to gather information about the use of alcohol on your campus. You know that it is impossible to gain information from the entire school so you decide to collect a sample. What would be your sampling frame? Then write one reason why the quality of your sample is important to the generalizability of your results. How could you be confident that your sample is representative of the students at the entire school?
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60
Examine you are conducting a study of an inner city that is ethnically and racially diverse. Why you would conduct a stratified random sample as compared to a simple random sample? Explain your answer using two or three sentences.
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61
Explain the difference between a proportionate stratified sample and a disproportionate stratified sample. Then provide two separate examples in which each are appropriate.
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62
Recall that sample quality if also dependent on sample size. Imagine you wanted to conduct a study on college students that do not drink, but you know that the majority do drink. Explain what type of stratified sample you would use. Why is such a sample important?
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63
Say a researcher wanted to obtain a sample of the entire U.S. population using a telephone book. What would be some issues with this? How would having an incomplete list affect this researcher's sample generalizability?
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64
Briefly explain the difference between nonprobability samples and probability samples. Then identify at least two situations where a nonprobability sample would be appropriate.
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65
Define availability sampling. Describe why they are not generalizable and provide at least two ways this sampling method can still be appropriate in research regardless of generalizability.
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66
How does an availability sample differ from a simple random sample? Provide at least two or three sentences.
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67
List the major lessons about sample quality that your book discusses. Why is sample quality important?
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68
Sampling error is an important concern for researchers. What is the difference between systematic sampling error and random sampling error? What is the tool for calculating sampling error and what does it estimate? Define the term confidence intervals and confidence limits. How are confidence intervals affected by sample size?
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69
How many challenges can you list that would likely be confronted by a social researcher seeking to survey a representative sample of homeless persons? Can you identify some potential strategies discussed in Chapter 5 that you could use to overcome some of these challenges? Generally, what type of sample would you need to collect: probability or nonprobability? Would your findings be generalizable to all homeless people and why?
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70
Think about crime on your campus. What research question interests you the most about crime on your campus? Taking what you learned in Chapter 5 about sampling, who would you need to sample? How would you gather your sample? Would your sample be nonprobability or probability? Which particular type of sampling method would you use (e.g., quota, availability, simple random). Based on the sampling method, how generalizable would your findings be to your campus and to other campuses?
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71
Your book suggests that there are three questions that you need to ask to assess sample quality. What are they? Then answer each of those three questions for this sample: CDC's NISVS study, noninstitutionalized (e.g., not in nursing homes, prison, and so on) English- and/or Spanish-speaking residents aged 18 and older were randomly selected through an RDD sampling method in 2010. A total of 9,970 women and 8,079 men were selected. Approximately, 45% of the interviews were conducted by landline and 55% by cell phone. The final sample represented the U.S. population very well. For example, the proportion of the sample by gender, race/ethnicity, and age in the NISVS sample was very close to the sample proportions for the U.S. population as a whole.
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72
Imagine that hypothetically you were able to access a sex trafficking ring and that you want to collect specific information on how the leaders of this ring operate. What would be some of your research questions? What type of nonprobability sampling method would you use? Why do you think this method is appropriate? Then describe the precautions you would need to use when reporting your findings.
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73
Imagine you are interested in looking at the crime of vandalism. The literature suggests this is more commonly carried out by youth ages 15 to 17. As such, you want to make sure that your sample has enough of youth of that age, plus other ages for comparison purposes. First, decide your research questions, then decide which type of nonprobability sample you would use. Provide your rationale for using that sampling method. Then describe the steps you might take to carry out your sampling method.
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