Which statement about sample size in qualitative research is true? A. Sampling for qualitative studies should...

Which statement about sample size in qualitative research is true?

	A.	Sampling for qualitative studies should stop before information becomes redundant.
	B.	If the quality of data being collected is exceptionally good, a smaller sample may suffice than when data are of mediocre quality.
	C.	New researchers who have a fresh eye on phenomena can rely on smaller samples than more experienced researchers.
	D.	Typical case sampling requires more participants than maximum variation sampling.

Expert Solution

A. Sampling for qualitative studies should stop before the information becomes redundant.

Sampling in qualitative data analysis is not working in quite the same way as quantitative research. The subjects are more complex and it will be based on the analysis used. In order to limit sample size, the researcher has to look for saturation. Saturation is the gold standard of qualitative research. It is a tool used to ensure that adequate, quality data are collected to aid the study.

The sampling is done on specific purpose related to the research question and so the qualitative methods are commonly described as ‘purposive’. It is very important to determine the extensiveness of data collection processes in the planning stage itself.

Sample size in qualitative research depends on purpose and objectives of the research. Samples are selected based on the below facts :

Limited number for the intensive study
Purposeful selection of samples
Selection is based on a conceptual framework
Sequential sample selection
Objective centred sampling

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Nightingale answered 2 years ago

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