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Sampling Techniques Quiz | Sampling Techniques Objective Type Questions and Answers

(21) Which of the following is not true about stratified random sampling?
[A] It involves a random selection process from identified subgroups
[B] Disproportional stratified random sampling is especially helpful for getting large enough subgroup samples when subgroup comparisons are to be done
[C] Proportions of groups in the sample must always match their population proportions
[D] Proportional stratified random sampling yields a representative sample
Answer: Proportions of groups in the sample must always match their population proportions
(22) Which of the following is not a form of nonrandom sampling?
[A] Snowball sampling
[B] Convenience sampling
[C] Quota sampling
[D] They are all forms of nonrandom sampling
Answer: They are all forms of nonrandom sampling
(23) Which of the following would generally require the largest sample size?
[A] Simple random sampling
[B] Systematic sampling
[C] Proportional stratified sampling
[D] Cluster sampling
Answer: Cluster sampling
(24) A type of sampling used in qualitative research that involves selecting cases that disconfirm the researcher's expectations and generalizations is referred to as _______________.
[A] Negative-case sampling
[B] Extreme case sampling
[C] Critical-case sampling
[D] Typical-case sampling
Answer: Negative-case sampling
(25) Using Figure 6.6 (pg. 178), how many participants will you need for a research study with a population of 120,000?
[A] 384
[B] 242
[C] 232
[D] None of these
Answer: 384
(26) If we took the 500 people attending a school in New York City, divided them by gender, and then took a random sample of the males and a random sampling of the females, the variable on which we would divide the population is called the _____.
[A] Stratification variable
[B] Independent variable
[C] Dependent variable
[D] Sampling variable
Answer: Stratification variable
(27) It is recommended to use the whole population rather than a sample when the population size is of what size?
[A] 500 or less
[B] 100 or less
[C] 1000 or less
[D] you should always use a sample
Answer: 100 or less
(28) Which of the following is not an example of a nonrandom sampling technique?
[A] Cluster
[B] Purposive
[C] Convenience
[D] Quota
Answer: Cluster
(29) ___________ is a set of elements taken from a larger population according to certain rules.
[A] Population
[B] Statistic
[C] Element
[D] Sample
Answer: Sample
(30) Which of the following statements are true?
[A] The larger the sample size, the greater the sampling error
[B] The more categories or breakdowns you want to make in your data analysis, the larger the sample needed
[C] The fewer categories or breakdowns you want to make in your data analysis, the larger the sample needed
[D] As sample size decreases, so does the size of the confidence interval
Answer: The more categories or breakdowns you want to make in your data analysis, the larger the sample needed