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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A. Simple random sampling
B. Purposive sampling
C. Cluster sampling k
D. Snowball sampling
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.
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.
A. Purposive sampling
B. Snowball sampling
C. Quota sampling
D. Convenience sampling
A. Simple random sampling
B. Systematic sampling
C. Cluster sampling
D. Extreme-case sampling
A. Maximum variation sampling
B. Purposive sampling
C. Parallel concurrent sampling
D. Critical-case sampling
A. Cluster sampling
B. Simple random sampling
C. Systematic sampling
D. Proportional stratified sampling
A. Parallel sequential
B. Nested sequential
C. Nonparallel concurrent
D. Nested concurrent
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
A. Systematic variable
B. Stratification variable
C. Selection variable
D. Sampling variable
A. True
B. False
A. True
B. False
A. True
B. False
A. True
B. False
A. True
B. False
A. Cluster sample
B. Biased sample
C. Comprehensive sampling
D. All of these
A. Cluster
B. Census
C. Element
D. Ranking
A. Cluster
B. Census
C. Element
D. Ranking
A. Cluster
B. Comprehensive
C. Critical case
D. Convenience
A. Cluster
B. Comprehensive
C. Critical case
D. Convenience
A. Comprehensive
B. Critical case
C. Convenience
D. Disproportional stratified
A. Comprehensive
B. Critical case
C. Convenience
D. Disproportional stratified
A. Comprehensive
B. Critical case
C. Convenience
D. Disproportional stratified
A. Ranking
B. Element
C. Compound
D. Atom
A. True
B. False
A. True
B. False
A. Symbolize
B. Generalize
C. Parameter
D. All of these
A. Heterogenous
B. Homogenous
C. Critical
D. All of these
A. K
B. M
C. Y
D. X
A. True
B. False
A. True
B. False
A. True
B. False
A. X
B. Y
C. O
D. N
A. X
B. Y
C. N
D. O
A. Negative case sampling
B. Positive case sampling
C. Null sampling
D. None of above
A. One stage cluster sampling
B. Two stage cluster sampling
C. Three stage cluster sampling
D. Multi stage cluster sampling
A. True
B. Falsee
A. Population
B. Community
C. Overpopulation
D. All of above
A. Cyclic pattern
B. Non cyclic pattern
C. Periodic pattern
D. None of above
A. Population
B. Overpopulation
C. Community
D. Webbing
A. True
B. False
A. True
B. False
A. True
B. False
A. Random assignment
B. Non random assignment
C. Special assignment
D. None of above
A. Random number generator
B. Non random number generator
C. Special number generator
D. None of above
A. True
B. False
A. True
B. False
A. Response rate
B. Sample rate
C. Final rate
D. All of these
A. Sample
B. Element
C. Material
D. All of these
A. True
B. False