1996
DOI: 10.1093/fampra/13.6.522
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Sampling for qualitative research

Abstract: The probability sampling techniques used for quantitative studies are rarely appropriate when conducting qualitative research. This article considers and explains the differences between the two approaches and describes three broad categories of naturalistic sampling: convenience, judgement and theoretical models. The principles are illustrated with practical examples from the author's own research.

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Cited by 2,770 publications
(1,947 citation statements)
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References 4 publications
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“…We discussed the codes collaboratively and repeatedly. We concluded the study after reaching the point of theoretical saturation, when categories, themes, and explanations repeated from the data (Marshall, 1996). A second researcher independently coded four sample interviews transcripts.…”
Section: Data Analysis Proceduresmentioning
confidence: 99%
“…We discussed the codes collaboratively and repeatedly. We concluded the study after reaching the point of theoretical saturation, when categories, themes, and explanations repeated from the data (Marshall, 1996). A second researcher independently coded four sample interviews transcripts.…”
Section: Data Analysis Proceduresmentioning
confidence: 99%
“…The study employed purposeful sampling, whereby the case was selected on the knowledge, experience and information that could be provided (Marshall, 1996). It was important to select an organisation that was involved in GSD and thus employed a GSD team setup, and also used Kanban as a methodology for their software projects.…”
Section: Samplingmentioning
confidence: 99%
“…It was important to select an organisation that was involved in GSD and thus employed a GSD team setup, and also used Kanban as a methodology for their software projects. Convenience sampling was also applied because the study was dependent on the willingness and availability of the participants (Marshall, 1996). Forums, meetups, search engines, as well as virtual communities that shared information about software development and project management were reviewed.…”
Section: Samplingmentioning
confidence: 99%
“…Opportunity sampling is a form of non-probability sampling, which involves the sample being drawn from a population that is convenient to the investigator (Marshall, 1996). Although very suited to obtaining a homogeneous sample, which is suitable for IPA, it does have the drawback that the findings from such a sample may be less transferable to the wider population.…”
Section: Sampling and Recruitmentmentioning
confidence: 99%