The nurse researcher hopes to be able to generalize study results ...

[anshika]

The nurse researcher hopes to be able to generalize study results to the population of the United States. What action should this researcher take regarding sample size?
 
  1. Plan a sample size of 5,000 to 6,000.
  2. Set the minimum sample size at 3,500.
  3. Divide the study sample into subgroups.
  4. Choose a homogenous study sample.

Question 2

Which sampling method would be most practical and provide the most reliable data to study the ethical conflicts experienced by registered nurses who work in city, county, and federal prisons?
 
  1. Purposive sampling
  2. Cluster random sampling
  3. Quota sampling
  4. Simple random sampling

[joechoochoy]

Answer to Question 1

1
Rationale 1: Samples of 5,000 or 6,000 are often sufficient to estimate the characteristics of the entire population of the United States.
Rationale 2: The researcher should set a sample size minimum, but this one is probably too low to generalize to the entire United States.
Rationale 3: This would not be an effective way to ensure generalizability.
Rationale 4: The more homogeneous a sample is, the less generalizable the results are to a larger population.
Global Rationale:

Answer to Question 2

2
Rationale 1: Although purposive sampling may be practical, the data obtained will likely be biased.
Rationale 2: Cluster random sampling would be the most practical and yield the most reliable data because systematic selection of location for participants will improve reliability of data, and because the volume and locations of city, county, and federal prisons presents an impractical, expensive, and time-consuming approach.
Rationale 3: Although quota sampling may be practical, it will yield results drawn from a convenience sample.
Rationale 4: Although simple random sampling will yield reliable data, it is impractical because of volume and location.
Global Rationale: