I wish to assess the level of stress among a specific group of nurses redeployed to other hospital settings (i.e, research nurses) during the COVID pandemic in my research proposal.
May I ask for your thoughts as to which sampling method is best and may I ask why?
Daryl,
It depends on your context of 'best' i.e. 'best for task' or 'best as in most practical/pragmatic'. I guess that many would argue a 'convenience' sampling method for your survey. However, you do use the term 'specific group of nurses' - and that can imply a 'purposive' sample - especially if this group is a relatively small sample.
Hello Daryl,
It depends on your research question, your population, and your measure(s). If you're talking about a modest number (say, 100) of nurses, it might be best to try to obtain a census sample (all of the cases). If the population is much larger, then the ideal approach would likely be a simple random sample or a stratified random sample. Of the two, I suspect stratification (for example, based on the type of reassignment venue) would likely be far better. Any probability sampling method pretty much requires that you have a way of identifying/locating the members of the target population so as to be able to: (a) make tentative selections; and (b) make the solicitation to participate in your study.
On the other hand, if your research aim is more along the lines of a qualitative inquiry, then perhaps a more purposive approach (and not a probability sample) would be better for you, as suggested by Dean Whitehead .
Good luck with your work.
It depends on a number of factors as Dean Whitehead and David Morse explained, but based in the information that you have supplied, my opinion is that the non-probability purposive (also know as "judgmental") sampling technique would be apt!
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