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The chapter discusses different types of sampling methods used in qualitative research to select information-rich cases. Two types of sampling techniques are discussed in the past...
In qualitative research, you sample deliberately, not at random. The most commonly used deliberate sampling strategies are purposive sampling, criterion sampling, theoretical sampling, convenience sampling and snowball sampling.
Criterion sampling involves selecting cases that meet some predetermined criterion of importance (Patton, 2001, p. 238). For example: Every patient at a practice receives a satisfaction survey at the end of his or her visit.
However, in qualitative research the central resource through which sampling decisions are made is a focus on specific people, situations or sites because they offer a specific – ‘biased’ or ‘information-rich’ – perspective (Patton, 2002). Irrespective of the approach, sampling requires prior knowledge of the phenomenon.
Purposeful sampling is widely used in qualitative research for the identification and selection of information-rich cases related to the phenomenon of interest. Although there are several different purposeful sampling strategies, criterion sampling appears to be used most commonly in implementation research.
Purposive sampling of primary studies for inclusion in the synthesis is one way of achieving a manageable amount of data. The objective of this article is to describe the development and application of a sampling framework for a qualitative evidence synthesis on vaccination communication. Methods.
We have chosen a mixed purposeful sampling, combining three different strategies that we considered the most consistent with our research purpose: intensity sampling, maximum variation sampling and confirming/disconfirming case sampling.
This chapter explains how to design suitable sampling strategies for qualitative research. The focus of this chapter is purposive (or theoretical) sampling to produce credible and trustworthy explanations of a phenomenon (a specific aspect of society).
Highlights. •. Outlines sampling considerations for qualitative research interviews. •. Links sampling to research integrity and rigor. •. Discusses issues of sample size in qualitative interviews. •. Suggests best practice for research reporting.
Instead, qualitative sampling is based on purposive selection, the sample size is flexible and not predetermined, and the goal is not to make generalizable claims but develop in-depth understandings with the richest evidence possible.