Deck 5: Sampling
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Deck 5: Sampling
1
The process of estimating characteristics of an entire group of units based on the characteristics of a subset of that group is called making
A)A sample
B)A census
C)A population
D)An inference
A)A sample
B)A census
C)A population
D)An inference
D
2
_____________ is a method for pooling together multiple smaller studies to get a much bigger, combined study.
A)Standard evaluation
B)Meta-analysis
C)Analytical consistency
D)Macro-evaluation
A)Standard evaluation
B)Meta-analysis
C)Analytical consistency
D)Macro-evaluation
B
3
A ____________ is the population that the research seeks to investigate in the first place.
A)Population of interest
B)Element of inquiry
C)Focus of interest
D)None of the above
A)Population of interest
B)Element of inquiry
C)Focus of interest
D)None of the above
A
4
Many repeated samples of identical sizes obtained in the identical way from the same population form a:
A)Sampling distribution
B)Data plot
C)Census
D)Confidence sample
A)Sampling distribution
B)Data plot
C)Census
D)Confidence sample
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5
A researcher recruited participants for a survey about experiences with unemployment through an advertisement and offered free resume reviews and job search services as incentives .The respondents were thus more likely to be motivated to search for a job, compared to nonrespondents .This problem is called
A)Volunteer bias
B)Coverage bias
C)Sampling variability
D)Sampling error
A)Volunteer bias
B)Coverage bias
C)Sampling variability
D)Sampling error
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6
______ sampling starts by dividing the population into groups such as male or female and then obtains a desired number of interviews or observations in each group.
A)Quota
B)Candidate
C)Signal
D)Purposive
A)Quota
B)Candidate
C)Signal
D)Purposive
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7
A professor is studying relationships between siblings .Twins are a group of special interest .Which of the following would be a way to make sure enough twins are in the study to examine as a separate subgroup?
A)Oversampling
B)Stratified sampling
C)Cluster sampling
D)Systematic sampling
A)Oversampling
B)Stratified sampling
C)Cluster sampling
D)Systematic sampling
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8
Since it is often not possible to collect data from every person or unit of interest, researchers often select a subset of units called a
A)Sample
B)Census
C)Population
D)Inference
A)Sample
B)Census
C)Population
D)Inference
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9
Which type of sample is usually more clearly generalizable?
A)Convenience sample
B)Snowball sample
C)Random sample
D)Voluntary sample
A)Convenience sample
B)Snowball sample
C)Random sample
D)Voluntary sample
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10
A student found that her survey respondents did not reflect the population of the city she was studying .She used existing population characteristics including race and age to adjust her results .This is called
A)Oversampling
B)Stratified sampling
C)Post-stratification weighting
D)Disproportionate sampling
A)Oversampling
B)Stratified sampling
C)Post-stratification weighting
D)Disproportionate sampling
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11
When a researcher repeats a study with a different sample, in a different location, time period, or context, using a different study design, this is known as:
A)Simulation
B)Codification
C)Replication
D)None of the above
A)Simulation
B)Codification
C)Replication
D)None of the above
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12
The measure of similarity within clusters in multistage sampling is called the
A)Margin of error
B)Confidence interval
C)Standard error
D)Intraclass correlation
A)Margin of error
B)Confidence interval
C)Standard error
D)Intraclass correlation
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13
The entire universe of people or units one is interested in studying is the
A)Sample
B)Census
C)Population
D)Inference
A)Sample
B)Census
C)Population
D)Inference
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14
A city manager wanted to find out what residents think of new parking rules recently put in place .He published some survey questions in an insert in the local newspaper and directed interested individuals to drop off the form at city hall .What type of sampling strategy is this?
A)Systematic
B)Random
C)Stratified
D)Voluntary
A)Systematic
B)Random
C)Stratified
D)Voluntary
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15
When data are collected on the entire population, this type of study is referred to as
A)A sample
B)A census
C)A survey
D)An inference
A)A sample
B)A census
C)A survey
D)An inference
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16
A ____________ is a list, map, or other operational representation of the population from which the sample can be selecteD.
A)Utility frame
B)Sampling frame
C)Operational frame
D)Signal frame
A)Utility frame
B)Sampling frame
C)Operational frame
D)Signal frame
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17
The selection of people or subjects to include in a study is called
A)Weighting
B)Sampling
C)Generalizing
D)Replication
A)Weighting
B)Sampling
C)Generalizing
D)Replication
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18
Which of the following is not an example of complex survey sampling?
A)Cluster sampling
B)Disproportionate sampling
C)Simple random sampling
D)Stratified sampling
A)Cluster sampling
B)Disproportionate sampling
C)Simple random sampling
D)Stratified sampling
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19
A local health department conducted a survey by calling household telephones in order to ask questions related to HIV/AIDS prevention and related behaviors .The survey, however, did not call cell phones and thus missed many younger people .This problem is called
A)Volunteer bias
B)Coverage bias
C)Sampling variability
D)Sampling error
A)Volunteer bias
B)Coverage bias
C)Sampling variability
D)Sampling error
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20
A doctor wanted to learn about the use of preventive health care services among low-income men .She conducted a survey in the waiting room of the clinic where she workeD .This type of sample is called
A)Convenience sampling
B)Random sampling
C)Systematic sampling
D)Stratified sampling
A)Convenience sampling
B)Random sampling
C)Systematic sampling
D)Stratified sampling
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21
The typical error you expect to see in the results of a sample when compared to the actual population is referred to as:
A)Functional error
B)Equation error
C)Distributive error
D)Standard error
A)Functional error
B)Equation error
C)Distributive error
D)Standard error
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22
_________ is a statement of statistical sampling precision.
A)Segment interval
B)Bias interval
C)Confidence interval
D)Sample interval
A)Segment interval
B)Bias interval
C)Confidence interval
D)Sample interval
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