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Haleyevette Haleyevette
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6 years ago
A researcher e-mails an online survey about multi-tasking and overcommitedness both on and off the job, as they relate to quality of life, to a random selection of 20,000 RNs in all 50 states; this represents about 1 of the population of RNs.
 
  The return rate on the tool is 5. The goal of this sampling method is to obtain a representative sample. Which of the following are correct statements relative to the sample's representativeness? (Select all that apply.)
  a. Since the topic has to do with having too many things going at once, it is likely that the results will be skewed, since RNs who are vastly overcommitted will not complete the survey.
  b. The sample is automatically representative if randomly selected names were used for the survey e-mailing.
  c. If the e-mailed subset of the population was randomly selected and the return meets the number required by power analysis, the return is representative.
  d. Subjects whose perceived quality of life is either very high or very low may be more inclined to participate, since they have an interest in finding more out about this relationship.
  e. If the 1,000 subjects who return the survey constitute an insufficient number to demonstrate statistical significance, this means that the sample was not truly representative.
  f. The sample is so huge, it would certainly be representative of the entire population.
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6 years ago
ANS: A, D
For a sample to be representative, it must be like the target population in as many ways as possible. It is especially important that the sample be representative in relation to the variables being studied and to other factors that may influence the study variables. Random sampling increases the extent to which the sample is representative of the target population. Even if the original sample is random, persons who volunteer or consent to participate in a study may differ in important ways from those who are not willing to participate.
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