Deck 4: How Do Researchers Select the People, Places, and Things to Study Sampling
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Deck 4: How Do Researchers Select the People, Places, and Things to Study Sampling
1
All the cases or people covered by a theory of explanation is known as
A) Concepts
B) Sample
C) Population
D) Elements
A) Concepts
B) Sample
C) Population
D) Elements
C
2
The process that a researcher uses to select a subset of a population is called
A) Population
B) Sampling
C) Conceptualization
D) Selection
A) Population
B) Sampling
C) Conceptualization
D) Selection
B
3
A(n) _______ is a single case in a population.
A) Sample
B) Element
C) Variable
D) Individual
A) Sample
B) Element
C) Variable
D) Individual
B
4
Which of the following is an example of an element?
A) Nations
B) All of these
C) Individual people
D) Media sources
A) Nations
B) All of these
C) Individual people
D) Media sources
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5
Which of the following would be the best sampling approach if you were surveying your fellow students about how they felt about campus housing for undergraduate students?
A) Send surveys to students in your classes this semester.
B) Choose every 10th person on a list of all students living in undergraduate campus housing.
C) Give surveys to students as they come out of the cafeteria a lunchtime
D) Send the survey to all students in the student directory
A) Send surveys to students in your classes this semester.
B) Choose every 10th person on a list of all students living in undergraduate campus housing.
C) Give surveys to students as they come out of the cafeteria a lunchtime
D) Send the survey to all students in the student directory
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6
_________ is the ability to make inferences about a population using sample data.
A) Generalizability
B) Representativeness
C) Sampling
D) Population
A) Generalizability
B) Representativeness
C) Sampling
D) Population
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7
If a researcher wants to make generalizations about the larger population from their sample data, their sample must be ___________.
A) Representative
B) Large
C) Systematic
D) Random
A) Representative
B) Large
C) Systematic
D) Random
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8
When researchers attempt to collect data from all members of a population, this is known as a __________.
A) Sample
B) Census
C) Population
D) All of these
A) Sample
B) Census
C) Population
D) All of these
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9
The U.S. Census began in which year?
A) 1776
B) 1800
C) 1790
D) 1819
A) 1776
B) 1800
C) 1790
D) 1819
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10
Which of the following is not a way that Census measures are limited?
A) The Census only collects data every 10 years.
B) LGTBQIA2S+ questions were excluded from the 2020 Census.
C) Racial categories may not accurately reflect how people self-identify.
D) Multiracial people have been about to select more than one racial category only starting in 2000.
A) The Census only collects data every 10 years.
B) LGTBQIA2S+ questions were excluded from the 2020 Census.
C) Racial categories may not accurately reflect how people self-identify.
D) Multiracial people have been about to select more than one racial category only starting in 2000.
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11
A ___________ sample is one where each unit in the population has a known and equal probability of being selected.
A) Representative
B) Random
C) Systematic
D) Probability
A) Representative
B) Random
C) Systematic
D) Probability
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12
Which of the following is not an example of a sampling frame?
A) Faculty and staff directory listing all employees at a company
B) A list of all schools in a district
C) Yelp reviews of local bars
D) A list of all restaurants in a county
A) Faculty and staff directory listing all employees at a company
B) A list of all schools in a district
C) Yelp reviews of local bars
D) A list of all restaurants in a county
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13
Henry wants to do a study the ethnic representation of video game characters on his favorite gaming platform. He makes a list of all of the games that are available for the gaming system. This list of game is the ___________ that he will use to draw his sample.
A) Sampling frame
B) Population
C) Sample
D) Sampling distribution
A) Sampling frame
B) Population
C) Sample
D) Sampling distribution
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14
Differences between the characteristics of a random sample and the population from which it is drawn is called ___________.
A) Sampling frame
B) Random sampling
C) Sampling error
D) Representativeness
A) Sampling frame
B) Random sampling
C) Sampling error
D) Representativeness
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15
The most basic form of probability sampling is called ____________.`
A) Simple random sampling
B) Random sampling
C) Systematic sampling
D) Census
A) Simple random sampling
B) Random sampling
C) Systematic sampling
D) Census
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16
When a sampling method is entirely random, this eliminates the opportunity for ___________.
A) Bias
B) Error
C) Selection
D) Generalization
A) Bias
B) Error
C) Selection
D) Generalization
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17
Systematic sampling is a method where________________________.
A) Each unit is selected from the population and has an equal probability of being included.
B) Units are randomly sampling from a population that has been previously divided into subgroups.
C) Units are selected from a sampling frame at fixed intervals.
D) Units are selected because of their available to the researcher.
A) Each unit is selected from the population and has an equal probability of being included.
B) Units are randomly sampling from a population that has been previously divided into subgroups.
C) Units are selected from a sampling frame at fixed intervals.
D) Units are selected because of their available to the researcher.
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18
Which of the following is the formula for calculating the probability that an individual unit will be chosen for the sample?
A) Sample size/Population size
B) Population size/Sample size
C) Ratio/Interval
D) N/n
A) Sample size/Population size
B) Population size/Sample size
C) Ratio/Interval
D) N/n
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19
Dr. Watkins has a population of 500 and wants to have a sample of 75. She should select every ________ person on the sampling frame.
A) 5th
B) 8th
C) 10th
D) 15th
A) 5th
B) 8th
C) 10th
D) 15th
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20
If a sampling frame has an inherent ordering or pattern, there is an issue of _______.
A) Bias
B) Periodicity
C) Interval
D) Randomness
A) Bias
B) Periodicity
C) Interval
D) Randomness
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21
Bedera and Nordmeyer had a sampling frame of 907 college websites and selected every 22nd school on the list. How big was their final sample?
A) 25
B) 50
C) 40
D) 75
A) 25
B) 50
C) 40
D) 75
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22
Bedera and Nordmeyer found in their content analysis that _________.
A) Most school websites conveyed that it's the women's ultimate responsibility to increase their safety to avoid sexual assault.
B) A majority of the schools had no rape prevention tips or discussion of sexual assault on their websites.
C) Nearly all of the websites had information about consent and sexual assault prevention.
D) Most websites put the onus on men to be responsible in their behavior towards women.
A) Most school websites conveyed that it's the women's ultimate responsibility to increase their safety to avoid sexual assault.
B) A majority of the schools had no rape prevention tips or discussion of sexual assault on their websites.
C) Nearly all of the websites had information about consent and sexual assault prevention.
D) Most websites put the onus on men to be responsible in their behavior towards women.
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23
A sampling method where units are randomly sampled from a population that has been previously divided into subgroups is called _________.
A) Systematic sampling
B) Random sampling
C) Cluster sampling
D) Stratified random sampling
A) Systematic sampling
B) Random sampling
C) Cluster sampling
D) Stratified random sampling
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24
A stratified sample where units are randomly sampled from strata in numbers equal to their representation in the overall population is called
A) Disproportionate stratified random sampling
B) Proportionate stratified random sampling
C) Stratified random sampling
D) None of these
A) Disproportionate stratified random sampling
B) Proportionate stratified random sampling
C) Stratified random sampling
D) None of these
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25
Benz and her team used which type of sampling method in their study examining people's awareness about racialized health disparities.
A) Disproportionate stratified random sampling
B) Proportionate stratified random sampling
C) Systematic stratified random sampling
D) None of these
A) Disproportionate stratified random sampling
B) Proportionate stratified random sampling
C) Systematic stratified random sampling
D) None of these
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26
Disproportionate stratified random sampling features ___________.
A) Strata that are proportionate to the representation in the overall population.
B) A random start
C) Units chosen for selection at a fixed interval
D) Strata that have equal numbers of units in each strata
A) Strata that are proportionate to the representation in the overall population.
B) A random start
C) Units chosen for selection at a fixed interval
D) Strata that have equal numbers of units in each strata
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27
Which group did Benz et al. oversample in their research study?
A) African Americans
B) Whites
C) Latinx
D) American/Pacific Islanders
A) African Americans
B) Whites
C) Latinx
D) American/Pacific Islanders
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28
In order to use a stratified sampling method, what is required?
A) A sampling frame
B) Relevant criteria about the population must be known in advance
C) Two strata
D) Random selection
A) A sampling frame
B) Relevant criteria about the population must be known in advance
C) Two strata
D) Random selection
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29
Which of the following is not an advantage of using a stratified sample?
A) Ensures that the sample is distributed in the same way as the population based on some criteria
B) Can ensure that groups that are a small proportion of the larger population are included in the sample
C) Researchers can determine criteria relevant to their research study.
D) Several criteria for stratifying can be used at the same time
A) Ensures that the sample is distributed in the same way as the population based on some criteria
B) Can ensure that groups that are a small proportion of the larger population are included in the sample
C) Researchers can determine criteria relevant to their research study.
D) Several criteria for stratifying can be used at the same time
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30
____________ refers to a sampling method where the researcher first samples sets of cases and then samples within them.
A) Multi-stage cluster sampling
B) Stratified random sampling
C) Proportionate stratified random sampling
D) None of these
A) Multi-stage cluster sampling
B) Stratified random sampling
C) Proportionate stratified random sampling
D) None of these
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31
Dr. Astley wants to study how wait staff adapted to the COVID-19 pandemic nation wide. There is no sampling frame for all wait staff nationally. What type of sampling should he use?
A) Disproportionate random sampling
B) Multi-stage cluster sampling
C) Purposive sampling
D) Systematic random sampling
A) Disproportionate random sampling
B) Multi-stage cluster sampling
C) Purposive sampling
D) Systematic random sampling
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32
How many stages were involved in Cruz, Queirolog, and Boidi's research?
A) Three
B) One
C) Two
D) Four
A) Three
B) One
C) Two
D) Four
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33
The process of using a non-random, but still systematic, sampling method is called ___________.
A) Non-probability sampling
B) Multi-stage cluster sampling
C) Convenience sampling
D) Systematic sampling
A) Non-probability sampling
B) Multi-stage cluster sampling
C) Convenience sampling
D) Systematic sampling
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34
Which of the following is not a reason for choosing non-probability sampling methods?
A) Lack of a sampling frame for the population
B) Desire to exclude extreme cases
C) Random sampling may exclude valuable informants
D) Marginalized populations may be excluded in a random sample
A) Lack of a sampling frame for the population
B) Desire to exclude extreme cases
C) Random sampling may exclude valuable informants
D) Marginalized populations may be excluded in a random sample
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35
Raj selects a sample for his study on campus parking by asking students to participate in his survey as they are coming out of the cafeteria after lunch and dinner. This is an example of what type of sampling?
A) Cluster
B) Quota
C) Convenience
D) Snowball
A) Cluster
B) Quota
C) Convenience
D) Snowball
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36
Which of the following is not an advantage of convenience sampling?
A) Elements are readily available.
B) People are willing to participate.
C) Researchers can quickly access people inexpensively.
D) It is possible to generalize findings to the larger population.
A) Elements are readily available.
B) People are willing to participate.
C) Researchers can quickly access people inexpensively.
D) It is possible to generalize findings to the larger population.
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37
Francisco-Menchavez used a purposive sample of Filipina migrants for her research because
A) They were a convenient population to access.
B) The women were willing to participate in the study.
C) Kabalikat Domestic Workers Support Network required the migrant women participate.
D) The participants' experiences best fit the focus of the study.
A) They were a convenient population to access.
B) The women were willing to participate in the study.
C) Kabalikat Domestic Workers Support Network required the migrant women participate.
D) The participants' experiences best fit the focus of the study.
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38
Which types of sampling methods did Chodur et al. use for their study of health disparities among American Indians?
A) Convenience and purposive
B) Purposive and quota sampling
C) Purposive and snowball sampling
D) Convenience and Quota
A) Convenience and purposive
B) Purposive and quota sampling
C) Purposive and snowball sampling
D) Convenience and Quota
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39
A non-probability sampling method where the researchers makes an initial contact with a small group of people connected to the topic and then uses them to establish other contacts is known as _____________.
A) Cluster sampling
B) Convenience sampling
C) Snowball sampling
D) Quota sampling
A) Cluster sampling
B) Convenience sampling
C) Snowball sampling
D) Quota sampling
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40
Which of the following is not a reason that Becker used snowball sampling in his study of marijuana users?
A) Marijuana use was stigmatized at the time of the study.
B) People were more likely to participate it they were referred by people they knew.
C) There was no sampling frame for this population.
D) He was part of the population.
A) Marijuana use was stigmatized at the time of the study.
B) People were more likely to participate it they were referred by people they knew.
C) There was no sampling frame for this population.
D) He was part of the population.
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41
Quota sampling is most similar to what other type of sampling method?
A) Cluster sampling
B) Snowball sampling
C) Convenience sampling
D) Purposive sampling
A) Cluster sampling
B) Snowball sampling
C) Convenience sampling
D) Purposive sampling
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42
Dr. Eller is simultaneously collecting and analyzing data in his study. What type of sampling is he using?
A) Cluster sampling
B) Quota sampling
C) Convenience sampling
D) Theoretical sampling
A) Cluster sampling
B) Quota sampling
C) Convenience sampling
D) Theoretical sampling
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43
Which of the following is not true about sampling error?
A) As sampling error increases, conclusions about the population based on the sample will be less accurate.
B) Overrepresentation in a strata results in sampling error.
C) A representative sample has low sampling error.
D) With a well-crafted probability sample, sampling error can be eliminated.
A) As sampling error increases, conclusions about the population based on the sample will be less accurate.
B) Overrepresentation in a strata results in sampling error.
C) A representative sample has low sampling error.
D) With a well-crafted probability sample, sampling error can be eliminated.
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44
Which of the following represents Schieman and Narisada's concern about non-response bias in their study of Canadian workers?
A) People who experienced conflicts between family and work might not be in the workforce.
B) Role conflict is often gendered.
C) They were concerned about periodicity in their sampling frame.
D) None of these
A) People who experienced conflicts between family and work might not be in the workforce.
B) Role conflict is often gendered.
C) They were concerned about periodicity in their sampling frame.
D) None of these
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45
When sample participants differ from non-participants in meaningful ways, this can cause ____________.
A) Low response rate
B) Non-response bias
C) Validity
D) Periodicity
A) Low response rate
B) Non-response bias
C) Validity
D) Periodicity
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46
Which of the following is not a way to reduce response bias?
A) Use random sample selection
B) Increase participation in the study
C) Communicate clearly about the research study
D) Follow-up with potential participants after first contact
A) Use random sample selection
B) Increase participation in the study
C) Communicate clearly about the research study
D) Follow-up with potential participants after first contact
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47
What decreases when sample size increases?
A) Heterogeneity
B) Bias
C) Sampling interval
D) Sampling error
A) Heterogeneity
B) Bias
C) Sampling interval
D) Sampling error
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48
If a population has a great deal of heterogeneity, ____________.
A) There is no impact on sample size.
B) The sample size should be at least 100 units.
C) The larger the sample size should be.
D) There will be a large amount of error.
A) There is no impact on sample size.
B) The sample size should be at least 100 units.
C) The larger the sample size should be.
D) There will be a large amount of error.
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49
Dr. Kelly selected a representative sample of Black Lives Matter protesters in Minneapolis for his study about racial activism. Can his findings be generalized to other BLM protesters in other cities?
A) Yes, because there is a common mission of the Black Lives Matter movement.
B) Yes, if his sample was selected randomly.
C) Only if his sampling frame lacked periodicity
D) No, even though his sample was representative for Minneapolis, that doesn't mean it can be applied to other contexts.
A) Yes, because there is a common mission of the Black Lives Matter movement.
B) Yes, if his sample was selected randomly.
C) Only if his sampling frame lacked periodicity
D) No, even though his sample was representative for Minneapolis, that doesn't mean it can be applied to other contexts.
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50
Which of the following is not a factor for researchers to keep in mind when developing a sampling strategy?
A) Ensuring there are no sampling errors
B) Consider the ultimate goals
C) Ensuring the sample represents the population
D) Considering challenges
A) Ensuring there are no sampling errors
B) Consider the ultimate goals
C) Ensuring the sample represents the population
D) Considering challenges
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51
Because researchers can't study all the cases in a sample, they study the cases in a population instead.
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52
Sampling impacts all aspects of the research process.
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53
Elements could include individuals, nations, cities, media sources, or schools.
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54
If you wanted to study a sample of students at your university about their feelings about parking, distributing surveys in your classes would be an effective sampling strategy.
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55
Though the U.S. Census is an attempt to collect data from each household, there are issues with how data is collected from some groups.
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56
When each unit in the population has a known and equal probability of being selected into a sample, this is called sampling.
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57
A sampling frame reduces the likelihood of sampling error.
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58
The difference between the characteristics of a random sample and the population it comes from is called sampling error.
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59
Choosing who will be in your sample by flipping a coin for each element (head's they are in, tails they aren't) is an example of a simple random sample.
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60
When determining the sampling interval in systematic random sample (or the nth value), researchers divide the population size by the desired sample size.
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61
Periodicity is mostly an issue in non-probability sampling
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62
Stratified random sampling involves dividing the population by gender and then selecting a random sample in the two stratas.
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63
When using stratified random sampling, you should make sure you select the same number of elements from each strata.
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64
Benz et al (2011) used a disproportionate stratified random sampling method in their study people's awareness of racialized health disparities to ensure that Asian American/Pacific Islanders were included.
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65
In order to use stratified sampling methods, you need to have prior knowledge about the larger population.
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66
Cluster sampling is a useful strategy for populations where there is not a sampling frame.
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67
Dr. Lee is studying how drug dealers communicate about their product. Cluster sampling is the most effective technique for this research.
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68
Non-probability sampling is non-random and non-systematic.
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69
Abrams (2010) argues that non-random sampling is well-suited for qualitative research because its focus is often on extreme or unique cases.
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70
Asking every third customer in line for ice cream what their favourite ice cream flavour is would be an example of a convenience sample.
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71
Francisco-Menchavez (2018) used a convenience sample of Filipina migrants for her study because they were readily available to her.
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72
In their mixed method study of food access and health disparities, Chodur et al used a variety of sampling techniques.
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73
Snowball sampling is a sampling method where researchers make an initial contact with a small group of people who can connect them to other potential participants.
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74
An advantage of snowball sampling is the ability to generalize the results to a larger population.
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75
With well crafted planning, it is possible to eliminate sampling error.
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76
Explain in your own words the relationship between population, sample, generalizability and sampling error.
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77
What are the goals of sampling and why is it important to the research process?
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78
Explain the steps involved in determining a sampling plan by working through an example of your own.
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79
What is the goal of a census? What are some of the limitations in how the U.S. Census measures the population?
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80
What is probability sampling and why would a researcher choose this method?
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