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24. Which of the following statements is true of the sample size for nonprobability samples?
A. The sample size formula must be adjusted for confidence level before it can be used for
nonprobability samples.
25. In which stage of the sampling plan will random-digit dialing probably be considered?
A. Selecting the data collection method
26. Compared to sampling, it is less time-consuming and less expensive to conduct a census.
27. A population is an identifiable group of elements of interest to a researcher and pertinent
to the information problem.
28. Customer lists from credit card companies are a common source of sampling frames.
29. The central limit theorem (CLT) describes the theoretical characteristics of a sample
population.
30. A benefit associated with detecting sampling error is that it can be determined before a
sample is drawn and data collection is completed.
31. Nonsampling errors reduce the overall quality of the data regardless of the data collection
method.
32. Sampling errors are related to the accuracy of data, whereas nonsampling errors relate to
the representativeness of a sample to a defined target population.
33. In the context of systematic sampling method, hidden patterns represent populations that
researchers may be interested in studying, but often are hard to reach.
34. When executed properly, systematic random sampling creates a sample of objects or
prospective respondents that is very similar in quality to a sample drawn using simple random
sampling.
35. The skip interval in systematic random sampling is computed by multiplying the number of
potential sampling units on a list by the desired sample size.
36. Multisource sampling is used when a single source generates a large or low incidence
sample.
37. The primary difficulty encountered with stratified sampling is determining the basis for
stratifying.
38. Area sampling is an example of a nonprobability sampling method.
39. In cluster sampling, each cluster is assumed to be representative of the heterogeneity of a
target population.
40. In the context of nonprobability sampling methods, judgment sampling is also known as
purposive sampling.
41. Since quota sampling is a nonprobability sampling method, the representativeness of the
sample can be measured.
42. Referral sampling involves identifying a set of respondents who can help a researcher
identify additional people to include in a study.
43. Snowball sampling prohibits the introduction of bias in a study.
44. In the context of the factors that play an important role in determining sample sizes with
probability designs, the higher the level of confidence desired, the smaller the sample size
needed.
45. In any sampling plan, the first task of a researcher is to choose a method of data
collection.
46. List some of the steps a researcher can take once he understands the basics of the
central limit theorem.
47. Distinguish between sampling error and nonsampling error.
48. List the advantages and disadvantages of simple random sampling.
49. Briefly discuss optimal allocation sampling and multisource sampling.
50. List the steps to be followed in developing a sampling plan.