Sampling in Quantitative, Qualitative, and Mixed Research MCQs
Sampling in Quantitative, Qualitative, and Mixed Research MCQs
The following Sampling in Quantitative, Qualitative, and Mixed Research MCQs have been compiled by our experts through research, in order to test your knowledge of the subject of Sampling in Quantitative, Qualitative, and Mixed Research. We encourage you to answer these 60 multiple-choice questions to assess your proficiency.
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1: In which of the following sampling methods does each member of the population have an equal chance of being selected into the sample?
A. Simple random sampling
B. Purposive sampling
C. Cluster sampling k
D. Snowball sampling
2: Which of the following statements is true regarding the sample size you need in a research study?
A. You should include 10% of the population in your sample.
B. The more categories or breakdowns you want to make in your data analysis, the smaller the sample size needed.
C. The more homogeneous the population, the larger the sample size needed.
D. The larger the sample size, the smaller the sampling error.
3: The purpose of random assignment is:
A. Allow researchers to make generalizations to the population.
B. Conduct a census study
C. Make groups that are similar on all possible factors before the research begins.
D. Ensure that every member has an equal opportunity to be selected.
4: The sampling method where each participant identifies at least one other potential research participant is ______.
A. Purposive sampling
B. Snowball sampling
C. Quota sampling
D. Convenience sampling
5: Which of the following is a qualitative research sampling method?
A. Simple random sampling
B. Systematic sampling
C. Cluster sampling
D. Extreme-case sampling
6: Which of the following is a sampling method unique to mixed research?
A. Maximum variation sampling
B. Purposive sampling
C. Parallel concurrent sampling
D. Critical-case sampling
7: Which of the following is the most efficient sampling method (i.e., it would generally require the smallest sample size)?
A. Cluster sampling
B. Simple random sampling
C. Systematic sampling
D. Proportional stratified sampling
8: In his research study William drew two samples from the population of college juniors. For one sample he looked at their GPAs at the end of their junior year. For the other he looked at the compositions they wrote in English 101 in their freshman year. What type of mixed sampling design did he use?
A. Parallel sequential
B. Nested sequential
C. Nonparallel concurrent
D. Nested concurrent
9: Probability proportional to size is:
A. A technique to ensure random selection and random assignment of participants
B. An adjustment made to ensure that all people in the population have an equal chance of selection
C. Used with proportional stratified sampling and stratified sampling to equate samples
D. A type of sampling used in mixed methods research studies
10: If we took the 400 people making up a local corporation, divided them by gender, and then took a random sample of females and a random sampling of males, the variable on which we divided the population is called the ______.
A. Systematic variable
B. Stratification variable
C. Selection variable
D. Sampling variable
11: Stratified sampling is a random sampling technique.
A. True
B. False
12: The sampling method used when the researcher determines the sampling interval, selects a random starting point between 1 and k, and then selects every kth element is cluster sampling.
A. True
B. False
13: Convenience or purposive sampling is most commonly used in experimental research.
A. True
B. False
14: The textbook recommended that you include the entire population in your research study when the population is 100 or less.
A. True
B. False
15: If the researcher makes sure that each member of the population has the same chance of being included in the sample, then the approach is known as a simple purposive sample.
A. True
B. False
16: A sample that is systematically different from the population is called
A. Cluster sample
B. Biased sample
C. Comprehensive sampling
D. All of these
17: A study based on data from the whole population rather than a sample is ______
A. Cluster
B. Census
C. Element
D. Ranking
18: A collective type of unit that includes multiple elements is ______
A. Cluster
B. Census
C. Element
D. Ranking
19: Which type of sampling in which clusters are randomly selected?
A. Cluster
B. Comprehensive
C. Critical case
D. Convenience
20: Which Including all cases in the research study?
A. Cluster
B. Comprehensive
C. Critical case
D. Convenience
21: Including people who are available, volunteer, or can be easily recruited in the sample is called
A. Comprehensive
B. Critical case
C. Convenience
D. Disproportional stratified
22: Selecting what are believed to be particularly important cases is called
A. Comprehensive
B. Critical case
C. Convenience
D. Disproportional stratified
23: A type of stratified sampling in which the sample proportions are made to be different from the population proportions on the stratification variable is called
A. Comprehensive
B. Critical case
C. Convenience
D. Disproportional stratified
24: ______ basic unit that is selected from the population
A. Ranking
B. Element
C. Compound
D. Atom
25: Any sampling method in which each member has an equal chance of being selected is equal probability of selective method
A. True
B. False
26: Identifying the extremes or poles of some characteristic and then selecting cases representing these extremes for examination is extreme case sampling
A. True
B. False
27: ______ is to make statements about a population based on sample data
A. Symbolize
B. Generalize
C. Parameter
D. All of these
28: Selecting a small and homogeneous case or set of cases for intensive study is______ sample selection
A. Heterogenous
B. Homogenous
C. Critical
D. All of these
29: _____ is size of the sampling interval
A. K
B. M
C. Y
D. X
30: Purposively selecting a wide range of cases is maximum variation sampling
A. True
B. False
31: The mixing of more than one sampling strategy is mixed purposeful sampling
A. True
B. False
32: The 10 sampling designs that result from crossing the time orientation criterion and the sample relationship criterion is mixed sampling designs
A. True
B. False
33: The population size is represented by
A. X
B. Y
C. O
D. N
34: The sample size is represented by
A. X
B. Y
C. N
D. O
35: Selecting cases that are expected to disconfirm the researcher’s expectations and generalizations is called
A. Negative case sampling
B. Positive case sampling
C. Null sampling
D. None of above
36: A set of clusters is randomly selected, and all the cases in the selected clusters are included in the sample is called
A. One stage cluster sampling
B. Two stage cluster sampling
C. Three stage cluster sampling
D. Multi stage cluster sampling
37: Selecting cases when the opportunity occurs is called opportunistic sampling
A. True
B. Falsee
38: A numerical characteristic of a _____ is called parameter
A. Population
B. Community
C. Overpopulation
D. All of above
39: The presence of a _____ in the sampling frame is called periodicity
A. Cyclic pattern
B. Non cyclic pattern
C. Periodic pattern
D. None of above
40: The large group to which a researcher wants to generalize the sample results; the complete set of cases is called
A. Population
B. Overpopulation
C. Community
D. Webbing
41: A type of two-stage cluster sampling in which each cluster’s chance of being selected in stage one depends on its population size is called probability proportional size
A. True
B. False
42: A type of stratified sampling in which the sample proportions are made to be the same as the population proportions on the stratification variable is called proportional stratified sampling
A. True
B. False
43: The researcher specifies the characteristics of the population of interest and locates individuals with those characteristics is called purposive sampling
A. True
B. False
44: A procedure that makes assignments to conditions on the basis of chance and in this way maximizes the probability that the comparison groups will be equated on all extraneous variables; randomly assigning a set of people to different groups is called
A. Random assignment
B. Non random assignment
C. Special assignment
D. None of above
45: A computer program that produces random numbers used in random assignment and random selection is called
A. Random number generator
B. Non random number generator
C. Special number generator
D. None of above
46: Randomly selecting a group of people from a population is random selection
A. True
B. False
47: A sample that resembles the population is representative sample
A. True
B. False
48: The percentage of people in a sample who participate in a research study is called
A. Response rate
B. Sample rate
C. Final rate
D. All of these
49: A set of elements or cases taken from a larger population is known as
A. Sample
B. Element
C. Material
D. All of these
50: Sample relationship criterion refers to whether the samples, taken in combination, are identical, parallel, nested, or multilevel.
A. True
B. False
Sampling in Quantitative, Qualitative, and Mixed Research MCQs
