Sampling and Generalizability MCQs
Sampling and Generalizability MCQs
These Sampling and Generalizabilit multiple-choice questions and their answers will help you strengthen your grip on the subject of Sampling and Generalizabilit. You can prepare for an upcoming exam or job interview with these Sampling and Generalizabilit MCQs.
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1: A _____________ sampling method in which elements are selected on the basis of convenience is called Availability Sampling
A. Probability
B. Non-Probability
C. General
D. None of above
2: Research in which information is obtained through responses from or information about all available members of an entire population is called
A. Cluster
B. Census
C. Elements
D. None of above
3: A naturally occurring, mixed aggregate of elements of the population is called
A. Cluster
B. Census
C. Elements
D. None of above
4: A sampling method in which elements are selected from strata in different proportions from those that appear in the population is called Disproportionate stratified sampling.
A. True
B. False
5: The individual members of the population whose characteristics are to be measured is called
A. Variables
B. Elements
C. Points
D. All of above
6: Units that contain one or more elements and that are listed in a sampling frame are called _________ units.
A. Social
B. Enumeration
C. Culture
D. None of above
7: _________ statistics describes a mathematical tool 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. Selected
B. Inferential
C. Non-Inferential
D. None of above
8: A sampling method in which the probability of selection of population elements is unknown is called __________ sampling method.
A. Nonprobability
B. Probability
C. Selective
D. None of above
9: People or other entities who do not participate in a study although they are selected for the sample is called
A. Respondents
B. Non- Respondents
C. Population
D. Variables
10: A sequence of elements (in a list to be sampled) that varies in some regular, periodic pattern is called
A. Population
B. Periodicity
C. Parameter
D. None of Above
11: The entire set of individuals or other entities to which study findings are to be generalized is called
A. Population
B. Periodicity
C. Parameter
D. None of Above
12: Probability of selection is the likelihood that an element will be selected from the population for inclusion in the sample. In a census of all elements of a population, the probability that any particular element will be selected is 1.0. If half the elements in the population are sampled on the basis of chance (say, by tossing a coin), the probability of selection for each element is one half, or .5.
A. True
B. False
13: A _________ sampling method that relies on a random, or chance, selection method so that the probability of selection of population elements is known.
A. Probability
B. Non-Probability
C. Random
D. All of above
14: A _____________ sampling method in which elements are selected from strata in exact proportion to their representation in the population.
A. Proportionate stratified
B. Proportionate Non-stratified
C. Proportionate Squamous
D. None of above
15: A nonprobability sampling method in which elements are selected for a purpose, usually because of their unique position is called
A. Purposive sampling
B. Quota Sampling
C. Random Sampling
D. Systematic Sampling
16: 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 is called
A. Purposive sampling
B. Quota Sampling
C. Random Sampling
D. Systematic Sampling
17: The random machine dialing of numbers within designated phone prefixes, which creates a random sample for phone surveys is called _________ digit dialing.
A. Single
B. Doube
C. Random
D. Specific
18: A table containing lists of numbers that are ordered solely on the basis of chance; it is used for drawing a random sample is called _______ number table.
A. Single
B. Doube
C. Random
D. Specific
19: A method of sampling that relies on a random, or chance, selection method so that every element of the sampling frame has a known probability of being selected is called
A. Purposive sampling
B. Quota Sampling
C. Random Sampling
D. Systematic Sampling
20: Random sampling error explains the Differences between the population and the sample that are due only to chance factors (random error), not to systematic sampling error. random sampling error may or may not result In an unrepresentative sample.
A. True
B. False
21: A method of sampling in which sample elements are returned to the sampling frame after being selected, so they may be sampled again is called
A. Purposive sampling
B. Quota Sampling
C. Replacement Sampling
D. Systematic Sampling
22: A ___________ sample that “looks like” the population from which it was selected in all respects that are potentially relevant to the study. The distribution of characteristics among the elements of a representative sample is the same as the distribution of those characteristics among the total population
A. Simple
B. Representative
C. Specific
D. None of Above
23: A subset of a population that is used to study the population as a whole is called
A. Population
B. Sample
C. Variable
D. Constant
24: The value of a statistic, such as a mean, is computed from sample data is called ________ statistic
A. Population
B. Sample
C. Variable
D. Constant
25: Any difference between the characteristics of a sample and the characteristics of a population; the larger the sampling error, the less representative the sample is called sampling _____
A. Collection
B. Error
C. Data
D. Values
26: A list of all elements or other units containing the elements in a population is called sampling frame
A. True
B. False
27: The number of cases from one sampled case to another in a systematic random sample is called
A. Sampling Values
B. Sampling interval
C. Sampling Data
D. Sampling Error
28: Units listed at each stage of a multistage sampling design is called
A. Sampling Values
B. Sampling Units
C. Sampling Data
D. Sampling Error
29: A method of sampling in which every sample element is selected only on the basis of chance, through a random process is called _______ Random Sampling.
A. Specific
B. Simple
C. Random
D. None of above
30: A nonprobability sampling method in which sample elements are selected as they are identified by successive informants or interviewees is called
A. Purposive sampling
B. Quota Sampling
C. Snowball Sampling
D. Systematic Sampling
31: A sampling method in which sample elements are selected separately from population strata that are identified in advance by the researcher is called
A. Purposive sampling
B. Quota Sampling
C. Stratified Random Sampling
D. Systematic Sampling
32: 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 is called ________ bias.
A. Systematic
B. Non-systematic
C. Constant
D. Variable
33: A method of sampling in which sample elements are selected from a list or from sequential files, with every nth element being selected after the first element is selected randomly within the first interval is called
A. Purposive sampling
B. Quota Sampling
C. Stratified Random Sampling
D. Systematic random Sampling
34: Target population explains A set of elements larger than or different from the population sampled and to which the researcher would like to generalize study findings.
A. True
B. False
35: Stratified random sampling requires the researcher to calculate a sampling interval to select cases.
A. True
B. False
36: Random sampling error will always produce an unrepresentative sample.
A. True
B. False
37: The sampling error can be determined regardless of the response rate.
A. True
B. False
38: Sample quality is determined by the actual sample obtained rather than just the sampling method itself.
A. True
B. False
39: The probability of selection is different for each element in a simple random sample.
A. True
B. False
40: The entire set of individuals or other entities to which study finds will be generalized is the ______.
A. Population
B. Sample
C. Element
D. Sampling frame
41: In a study of educational practices, a researcher first samples schools and then within schools, interviews a sample of teachers. In this example, the schools are called what?
A. Multi-stage clusters
B. Sampling frames
C. Primary sampling units
D. Aggregations
42: It is estimated that the 2000 census undercounted about how many people in the United States?
A. Less than 1,000
B. Between 1,000 and 4,999
C. Between 5,000 and 9,999
D. More than one million
43: In a census, the probability of selection for all elements is ______.
A. Less than one
B. Greater than one
C. Undetermined
D. Exactly one
44: As the size of the sample goes up, ______.
A. So does confidence in its representativeness of the population
B. Confidence in its representativeness of the population decreases
C. Its proportion to the size of the population must remain constant
D. The fraction of the total population that a sample contains decreases
45: In replacement sampling, ______.
A. Probability of selection cannot be determined.
B. Each element is returned to sampling frame after it is selected so that it may be selected again.
C. One element may be replaced with another on judgment grounds.
D. Data from one sample are substituted for data from another sample.
46: You have a list of 100,000 members of Organization R, but only want a sample of 500. Using systematic random sampling techniques, what is the sampling interval?
A. 1/500
B. 1/100,000
C. 1/20
D. 200
47: In Club S, there are 1,000 men and 1,000 women nationwide. If you want to draw a proportionate sample of 100 members of the club, how many men will you select?
A. 5
B. 10
C. 25
D. 50
48: Person-in-the-street interviews tend to follow which of the following sampling techniques ______.
A. Random
B. Availability
C. Quota
D. Probability
49: What sampling method is most commonly used when researchers what to ensure that cases from smaller strata are included in the sample sufficiently in order to allow separate statistical estimates as well as comparisons between strata?
A. Proportionate stratified sampling
B. Random digit dialing
C. Disproportionate stratified sampling
D. Availability sampling
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