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What is a 'purposive sampling'?
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What are the different types of purposive sampling methods?
What is a purposive sample in qualitative research?
Feb 16, 2024 · The sixteen purposive sampling techniques discussed include extreme case sampling, deviant case sampling, Intensity sampling, maximum variation sampling, homogeneous sampling, typical...
- (PDF) Purposive sampling in a qualitative evidence synthesis ...
Purposive sampling of primary studies for inclusion in the...
- (PDF) Purposive sampling in a qualitative evidence synthesis ...
Disconfirming or Negative Case Sampling: With this strategy the researcher is looking to extend his or her analysis by looking for cases that will disconfirm it, both to test theory and simply because it is often from our failures that we learn the most.
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Jun 18, 2020 · Purposive sampling is ‘used to select respondents that are most likely to yield appropriate and useful information’ (Kelly, 2010: 317) and is a way of identifying and selecting cases that will use limited research resources effectively (Palinkas et al., 2015).
- Steve Campbell, Melanie Greenwood, Sarah Prior, Toniele Shearer, Kerrie Walkem, Sarah Young, Daniell...
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- The Context of the Case
- Public Accounts of Sampling Strategies
- Exploring the Phenomenon Through Somebody Else's Order: (n = 11)
- Building Ideas, Challenging Assumptions (n = 17)
- Finding a Good Practical Solution to the Puzzle
- A Few More for Luck (n = 2)
- Closing Comments
The case I want to explore focuses on delay in diagnosis for children with juvenile idiopathic arthritis (JIA). JIA is a form of arthritis that affects both children and adolescents. As soon as the diagnosis is suspected, these patients need to be referred to a paediatric rheumatology team, to get confirmation of the diagnosis and to get access to ...
Prior to undertaking the research, we had to offer the funding agency and the medical ethics committee an outline of our sampling strategies. Given that these audiences expect a reasonable degree of certainty and structure, the approach to sampling was simply introduced as ‘purposive sampling’ and later described as ‘maximum variation sampling’, wi...
So far I had conducted 11 interviews with families and 6 interviews with health professionals involved in the referral pathway. I felt I had begun to make some sense of the issues. Family resemblances were starting to emerge – especially around issues of initial decisions to seek lay and medical help. Fewer new patients were coming through the serv...
The fourth round of sampling shifted towards more conceptual development as well as focusing on some specific criteria. Analytically, I felt I had some sense of the key issues. I was becoming interested in exploring these further. So, for example, in trying to make sense of how people navigate through the system, I was interested in exploring the i...
It was during the fourth phase of sampling, when I sampled for specific theoretically driven issues alongside some typical cases, that I had my ‘eureka moment’. I met one of the team in the corridor and she asked me how it was going. I explained to her what I felt were the key issues emerging from my analysis. As I walked away, something in my acco...
By this stage, I now had a very good sense of my data; the issues and concepts were well developed; I had had my ‘eureka moment’; and I had what I felt was a good analytic narrative. I had undertaken 34 interviews with families and 11 interviews with health and social care practitioners. The final stage emerged in part through pure opportunity and ...
The aim of this chapter was to offer you, the reader, ‘technical access’ to the lived practices of sampling. I hope you can begin to make sense of some of the issues that can weave through sampling. Ideally, your sampling strategy should be something that evolves over time, that emerges through a mutual relationship with desk, field and analytic wo...
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Jan 31, 2019 · 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...
Aug 11, 2022 · Purposive sampling is common in qualitative research and mixed methods research. It is particularly useful if you need to find information-rich cases or make the most out of limited resources, but is at high risk for research biases like observer bias.
As utilized in qualitative and mixed methods research, purposive sampling involves an iterative process of selecting research subjects rather than starting with a predetermined sampling frame. Akin to grounded theory, the selection process involves identifying themes, concepts, and indicators through observation and reflection (Schutt, 2006: 348).
