Sampling MCQs
Sampling MCQs
Try to answer these 50+ Sampling MCQs and check your understanding of the Sampling subject.
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1: A population refers to the entire subset of elements you are interested in when doing research.
A. True
B. False
2: A sample is a subset of elements from the larger population you are interested in when doing research.
A. True
B. False
3: The sampling unit is the list from which elements of the population are selected.
A. True
B. False
4: Research projects can include both primary and secondary sampling units.
A. True
B. False
5: Cross-population generalizability refers to the ability to generalize from a sample, or subset, of a larger population to that population itself.
A. True
B. False
6: The smaller the sampling error, the less representative the sample is of the population from which it was drawn.
A. True
B. False
7: When researchers are interested in studying the entire population versus drawing a sample, they are conducting a census.
A. True
B. False
8: Nonprobability sampling is a sampling method where the probability of selection of population elements is known.
A. True
B. False
9: When a sample is randomly selected from the population, every element has a known and independent chance of being selected into the sample.
A. True
B. False
10: The smaller the sample, the more confidence we can have in the sample’s representativeness of the population from which it was drawn.
A. True
B. False
11: Systematic random sampling involves the use of a random number table.
A. True
B. False
12: Multistage cluster sampling is a sampling method in which elements are selected in two or more stages.
A. True
B. False
13: Availability sampling is a sampling method that relies on the selection of a sample that is convenient to find.
A. True
B. False
14: Snowball sampling is a probability-based sampling method.
A. True
B. False
15: A skewed distribution is a distribution shaped like a bell and centered around the population mean, with the number of cases tapering off in a predictable pattern on both sides of the mean.
A. True
B. False
16: _____ is defined as sampling in which elements are selected on the basis of convenience.
A. Availability sampling
B. Intensive interviewing
C. All of these
D. Between-subjects design
17: _____ is known as research in which information is obtained through the responses that all available members of an entire population give to questions.
A. Participatory action research
B. Intensive interviewing
C. All of these
D. Census
18: Is cluster a naturally occurring, mixed aggregate of elements of the population?
A. True
B. False
19: _____ is the range defined by the confidence limits for a sample statistic.
A. Between-subjects design
B. Confidence interval
C. Empirical generalizations
D. All of these
20: _____ is defined as the upper and lower bounds around an estimate of a population parameter based on a sample statistic. The confidence limits show how much confidence can be placed in the estimate.
A. Matched-groups design
B. None of these
C. Confidence limits
D. Crime mapping
21: _____ is known as sampling in which elements are selected from strata in different proportions from those that appear in the population.
A. Experimental approach
B. Between-subjects design
C. Disproportionate stratified sampling
D. None of these
22: Is elements the individual members of the population whose characteristics are to be measured?
A. False
B. True
23: _____ is units that contain one or more elements and that are listed in a sampling frame.
A. Disproportionate stratified sampling
B. Between-subjects design
C. Enumeration units
D. All of these
24: _____ is defined as mathematical tools for estimating how likely it is that a statistical result based on data from a random sample is representative of the population from which the sample is assumed to have been selected.
A. None of these
B. Causal validity (internal validity)
C. Inferential statistics
D. Matched-groups design
25: _____ is known as sampling in which elements are selected in two or more stages, with the first stage being the random selection of naturally occurring clusters and the last stage being the random selection of multilevel elements within clusters.
A. Between-subjects design
B. All of these
C. Multistage cluster sampling
D. Empirical generalizations
26: Is nonprobability sampling methods sampling methods in which the probability of selection of population elements is unknown?
A. True
B. False
27: _____ is people or other entities who do not participate in a study although they are selected for the sample.
A. Illogical reasoning
B. All of these
C. Nonresponse
D. Nuremberg War Crime Trials
28: _____ is defined as a symmetric distribution shaped like a bell and centered around the population mean, with the number of cases tapering off in a predictable pattern on both sides of the mean.
A. All of these
B. Philip Zimbardo’s Stanford Prison Experiment
C. Theoretical constructs
D. Normal distribution
29: _____ is known as a sequence of elements (in a list to be sampled) that varies in some regular, periodic pattern.
A. Interval level of measurement
B. Surveys
C. Periodicity
D. All of these
30: Is population the entire set of elements (e.g., individuals, cities, states, countries, prisons, schools) in which we are interested?
A. True
B. False
31: _____ is the value of a statistic, such as a mean, computed using the data for the entire population; a sample statistic is an estimate of a population parameter.
A. Population parameter
B. Empirical generalizations
C. Between-subjects design
D. All of these
32: _____ is defined as sampling methods that rely on a random, or chance, selection method so that the probability of selection of population elements is known.
A. Between-subjects design
B. Probability sampling methods
C. Research circle
D. All of these
33: _____ is known as sampling methods in which elements are selected from strata in exact proportion to their representation in the population.
A. Proportionate stratified sampling
B. Illogical reasoning
C. All of these
D. Pseudoscience
34: Is purposive sampling a nonprobability sampling method in which elements are selected for a purpose, usually because of their unique position. Sometimes referred to as judgment sampling?
A. True
B. False
35: _____ is a nonprobability sampling method in which elements are selected to ensure that the sample represents certain characteristics in proportion to their prevalence in the population.
A. None of these
B. Dichotomy
C. Index
D. Quota sampling
36: _____ is defined as the random dialing by a machine of numbers within designated phone prefixes, which creates a random sample for phone surveys.
A. None of these
B. Interval level of measurement
C. Random digit dialing (RDD)
D. Surveys
37: _____ is known as a table containing lists of numbers that are ordered solely on the basis of chance; it is used for drawing a random sample.
A. Content analysis
B. Deductive reasoning
C. All of these
D. Random number table
38: Is random selection the fundamental element of probability samples; the essential characteristic of random selection is that every element of the population has a known and independent chance of being selected into the sample?
A. False
B. True
39: _____ is a method of sampling in which sample elements are returned to the sampling frame after being selected so they may be sampled again. Random samples may be selected with or without replacement.
A. Phrenology
B. Research question
C. All of these
D. Replacement sampling
40: _____ is defined as a subset of elements from the larger population.
A. Epistemology
B. Sample
C. All of these
D. Between-subjects design
41: _____ is known as the value of a statistic, such as a mean, computed from sample data.
A. Reliability
B. Illogical reasoning
C. None of these
D. Sample statistic
42: Is sampling distribution a theoretical distribution of the value of a statistic (i.e., mean) from an infinite number of same-size samples?
A. True
B. False
43: _____ is any difference between the characteristics of a sample and the characteristics of the population from which it was drawn. The larger the sampling error, the less representative the sample is of the population.
A. All of these
B. Sampling error
C. Deductive research
D. Overgeneralization
44: _____ is defined as a list of the elements of a population from which a sample actually is selected.
A. Sampling frame
B. Causal validity (internal validity)
C. All of these
D. Inferential statistics
45: _____ is known as the number of cases between one sampled case and the next in a systematic random sample.
A. Beneficence
B. Sampling interval
C. Crime mapping
D. All of these
46: Is sampling units the units actually selected in each stage of sampling?
A. False
B. True
47: _____ is a method of sampling in which every sample element is selected only on the basis of chance through a random process.
A. Simple random sampling
B. Sampling frame
C. Inferential statistics
D. All of these
48: _____ is defined as a method of sampling in which sample elements are selected as they are identified by successive informants or interviewees.
A. Snowball sampling
B. Pseudoscience
C. All of these
D. Illogical reasoning
49: _____ is known as a method of sampling in which sample elements are selected separately from population strata that are identified in advance by the researcher.
A. All of these
B. Phrenology
C. Stratified random sampling
D. Independent variable
50: Is systematic bias overrepresentation or underrepresentation of some population characteristics in a sample resulting from the method used to select the sample; a sample shaped by systematic sampling error is a biased sample?
A. True
B. False
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