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Snowball sampling

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Snowball sampling
Explain a sampling method that could be used in this case study:

First of all, there are a few options for sampling methods in this case study of how the relief workers at disaster sites experience and cope with issues that surface. Considering that at the disaster sites “the medical teams are always over-worked, equipment is always misplaced and it is hard to deliverer food and medicine as the infrastructure is often broken down because of earthquakes” (line 7). The subjects of the case study would be the “stressed relief workers, who become less effective with their work because they are uneasy” (line 7). One could argue that purposive, convenience sampling should be used, as they are most relevant to the contest of this case study. This is because first of all, purposive sampling is. The strengths of this would be that the participants have the necessary characteristics that the researchers are looking for considering that they are relief workers. The limitations of this could be that it may not be a complete representation of the target population. Finally, one could argue that the psychologists could use convenience sampling considering the researchers didn’t make a decision on who the subjects would be on their own as the group of people were already chosen by the organization. The strengths of convenience sampling to this case study would be that the speed and ease with which participants could be chosen. Also, the sample size is very small in this study, therefore all formats for this case study are equally acceptable. Overall the best sampling method would be purposive sampling because of the participants that would be in

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