A) snowball sampling.
B) systematic sampling.
C) deviant cases sampling.
D) accidental sampling.
E) quota sampling.
Correct Answer
verified
Multiple Choice
A) telephone books.
B) random digit dialing.
C) records provided by wireless phone companies.
D) opt-in lists.
E) it is illegal to select samples via telephone.
Correct Answer
verified
True/False
Correct Answer
verified
Multiple Choice
A) whenever possible: weighted methods are cheaper and easier to perform
B) ensure underrepresented populations are adequate in the sample
C) give preference to some groups rather than others
D) to ensure an adequately large sample
E) weighted sampling methods are always discouraged
Correct Answer
verified
True/False
Correct Answer
verified
Multiple Choice
A) simple random sampling.
B) systematic sampling.
C) disproportionate sampling.
D) cluster sampling.
E) stratified sampling.
Correct Answer
verified
Multiple Choice
A) the hypothetical aggregation of all the elements in a study.
B) the theoretically specified aggregation of study elements.
C) that aggregation of elements from which the sample is actually selected.
D) that aggregation or set of elements considered for selection in some stage of sampling.
E) that aggregation of elements from which information is collected.
Correct Answer
verified
True/False
Correct Answer
verified
Multiple Choice
A) caller ID.
B) answering machines.
C) telemarketing.
D) phone lines tied up by fax or Internet access.
E) random digit dialing.
Correct Answer
verified
Multiple Choice
A) to ensure a sufficient number of cases in each of the sample subpopulations.
B) to give a proportionate representation to each sample element.
C) to provide a representative picture of the total population.
D) to handle situations involving the errors and approximation that are often inherent in complex, multistage designs.
E) All of these choices are reasons as to why researchers use disproportionate sampling and weighting.
Correct Answer
verified
True/False
Correct Answer
verified
Multiple Choice
A) reliance on available subjects
B) purposive
C) snowball
D) quota
E) simple
Correct Answer
verified
Multiple Choice
A) snowball sampling
B) quota sampling
C) reliance on available subjects or convenient sampling
D) purposive sampling
E) simple random sampling
Correct Answer
verified
Multiple Choice
A) 75% of a sample falls within plus or minus one standard error of the population parameter.
B) 90% of a sample falls within plus or minus one standard error of the population parameter.
C) 50% of a sample falls within plus or minus one standard error of the population parameter.
D) 68% of a sample falls within plus or minus one standard error of the population parameter.
E) 58% of a sample falls within plus or minus one standard error of the population parameter.
Correct Answer
verified
True/False
Correct Answer
verified
Multiple Choice
A) the method by which they are selected limits conscious and unconscious sampling bias.
B) the accuracy or representativeness of the sample can be estimated.
C) they are perfectly representative of the population from which they are drawn.
D) the method by which they are selected limits conscious and unconscious sampling bias, and the accuracy of the sample can be estimated.
E) the method by which they are selected limits conscious and unconscious sampling bias, the accuracy of the sample can be estimated, and they are perfectly representative of the population from which they are drawn.
Correct Answer
verified
True/False
Correct Answer
verified
True/False
Correct Answer
verified
Multiple Choice
A) dial telephone numbers manually (rather than with a computer) .
B) use "robocalling" computer programs.
C) avoid telephone surveys altogether.
D) rely only on a telephone book.
E) use voice dialing computer programs.
Correct Answer
verified
True/False
Correct Answer
verified
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