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Sampling in Quantitative, Qualitative, and Mixed Research MCQ

Sampling in Quantitative, Qualitative, and Mixed Research MCQ

1. Quota sampling is The researcher determines the appropriate sample sizes or quotas for the groups identified as important and takes convenience samples from those groups

Answer

Correct Answer: True

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2. Selecting what are believed to be average cases is called _____

Answer

Correct Answer: Typical case sampling

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3. A set of clusters is randomly selected and then a random sample of elements is drawn from each of the clusters selected in stage one is called _____

Answer

Correct Answer: Two stage cluster sampling

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4. Refers to whether the samples are taken concurrently or sequentially is called time orientation criterion

Answer

Correct Answer: True

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5. Occurs when additional data collection is no longer producing new or refined concepts or requiring additional theory modification is called

Answer

Correct Answer: Theoretical saturation

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6. Continual data collection to maximize the chance to identify and understand important concepts and produce a good theory is called

Answer

Correct Answer: Theoretical sampling

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7. A list of numbers that fall in a random order is table of random numbers

Answer

Correct Answer: True

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8. In which sample obtained by determining the sampling interval, selecting a random starting point between 1 and k, and then selecting every kth element?

Answer

Correct Answer: Systematic

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9. A non experimental “research method” that relies on questionnaires and/or interviews for data collection is survey research

Answer

Correct Answer: True

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10. In which sampling dividing the population into mutually exclusive groups and then selecting a random sample from each group

Answer

Correct Answer: Stratified

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11. The variable on which the population is divided is called

Answer

Correct Answer: Stratification variable

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12. A numerical characteristic of a sample is _____

Answer

Correct Answer: Statistics

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13. A randomly selected number between 1 and k is _____ point

Answer

Correct Answer: Starting

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14. In which sampling each research participant is asked to identify other potential research participants?

Answer

Correct Answer: Snowball

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15. A sample drawn by a procedure in which every member of the population has an equal chance of being selected is simple random sample

Answer

Correct Answer: True

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16. The population size divided by the desired sample size is sampling interval

Answer

Correct Answer: True

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17. A list of all the elements in a population is sampling frame

Answer

Correct Answer: True

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18. The difference between the value of a sample statistic and the corresponding population parameter is sampling _____

Answer

Correct Answer: Error

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19. The process of drawing a sample from a population is _____

Answer

Correct Answer: Sampling

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20. Sample relationship criterion refers to whether the samples, taken in combination, are identical, parallel, nested, or multilevel.

Answer

Correct Answer: True

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21. A set of elements or cases taken from a larger population is known as

Answer

Correct Answer: Sample

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22. The percentage of people in a sample who participate in a research study is called

Answer

Correct Answer: Response rate

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23. A sample that resembles the population is representative sample

Answer

Correct Answer: True

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24. Randomly selecting a group of people from a population is random selection

Answer

Correct Answer: True

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25. A computer program that produces random numbers used in random assignment and random selection is called

Answer

Correct Answer: Random number generator

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26. 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

Answer

Correct Answer: Random assignment

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27. The researcher specifies the characteristics of the population of interest and locates individuals with those characteristics is called purposive sampling

Answer

Correct Answer: True

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28. 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

Answer

Correct Answer: True

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29. 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

Answer

Correct Answer: True

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30. The large group to which a researcher wants to generalize the sample results; the complete set of cases is called

Answer

Correct Answer: Population

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31. The presence of a _____ in the sampling frame is called periodicity

Answer

Correct Answer: Cyclic pattern

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32. A numerical characteristic of a _____ is called parameter

Answer

Correct Answer: Population

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33. Selecting cases when the opportunity occurs is called opportunistic sampling

Answer

Correct Answer: True

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34. A set of clusters is randomly selected, and all the cases in the selected clusters are included in the sample is called

Answer

Correct Answer: One stage cluster sampling

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35. Selecting cases that are expected to disconfirm the researcher’s expectations and generalizations is called

Answer

Correct Answer: Negative case sampling

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36. The sample size is represented by

Answer

Correct Answer: N

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37. The population size is represented by

Answer

Correct Answer: N

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38. The 10 sampling designs that result from crossing the time orientation criterion and the sample relationship criterion is mixed sampling designs

Answer

Correct Answer: True

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39. The mixing of more than one sampling strategy is mixed purposeful sampling

Answer

Correct Answer: True

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40. Purposively selecting a wide range of cases is maximum variation sampling

Answer

Correct Answer: True

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41. _____ is size of the sampling interval

Answer

Correct Answer: K

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42. Selecting a small and homogeneous case or set of cases for intensive study is______ sample selection

Answer

Correct Answer: Homogenous

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43. ______ is to make statements about a population based on sample data

Answer

Correct Answer: Generalize

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44. Identifying the extremes or poles of some characteristic and then selecting cases representing these extremes for examination is extreme case sampling

Answer

Correct Answer: True

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45. Any sampling method in which each member has an equal chance of being selected is equal probability of selective method

Answer

Correct Answer: True

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46. ______ basic unit that is selected from the population

Answer

Correct Answer: Element

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47. 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

Answer

Correct Answer: Disproportional stratified

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48. Selecting what are believed to be particularly important cases is called

Answer

Correct Answer: Critical case

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49. Including people who are available, volunteer, or can be easily recruited in the sample is called

Answer

Correct Answer: Convenience

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50. Which Including all cases in the research study?

Answer

Correct Answer: Comprehensive

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51. Which type of sampling in which clusters are randomly selected?

Answer

Correct Answer: Cluster

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52. A collective type of unit that includes multiple elements is ______

Answer

Correct Answer: Cluster

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53. A study based on data from the whole population rather than a sample is ______

Answer

Correct Answer: Census

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54. A sample that is systematically different from the population is called

Answer

Correct Answer: Biased sample

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55. 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.

Answer

Correct Answer: False

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56. The textbook recommended that you include the entire population in your research study when the population is 100 or less.

Answer

Correct Answer: True

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57. Convenience or purposive sampling is most commonly used in experimental research.

Answer

Correct Answer: True

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58. 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.

Answer

Correct Answer: False

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59. Stratified sampling is a random sampling technique.

Answer

Correct Answer: True

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60. 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 ______.

Answer

Correct Answer: Stratification variable

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61. Probability proportional to size is:

Answer

Correct Answer: An adjustment made to ensure that all people in the population have an equal chance of selection

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62. 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?

Answer

Correct Answer: Parallel sequential

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63. Which of the following is the most efficient sampling method (i.e., it would generally require the smallest sample size)?

Answer

Correct Answer: Proportional stratified sampling

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64. Which of the following is a sampling method unique to mixed research?

Answer

Correct Answer: Parallel concurrent sampling

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65. Which of the following is a qualitative research sampling method?

Answer

Correct Answer: Extreme-case sampling

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66. The sampling method where each participant identifies at least one other potential research participant is ______.

Answer

Correct Answer: Snowball sampling

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67. The purpose of random assignment is:

Answer

Correct Answer: Make groups that are similar on all possible factors before the research begins.

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68. Which of the following statements is true regarding the sample size you need in a research study?

Answer

Correct Answer: The larger the sample size, the smaller the sampling error.

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69. In which of the following sampling methods does each member of the population have an equal chance of being selected into the sample?

Answer

Correct Answer: Simple random sampling

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