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Data Saturation and Purposeful Sampling Strategy Part 2

I was once told that a good sample is not good in terms of size or generalizability. A good sample requires an understanding of purposeful sample strategies. Ineffectiveness in data saturation is the failure to reach saturation point that can hampers content and research validity (Fusch & Ness, 2015). Additionally, data saturation is reached when there is enough […]

Data Saturation

A major strategy of improving data saturation is making sure the recruited units for sampling have achieved saturation point (Patton, 2015). Likewise, this process means reaching a point in which all the relevant data of the research analysis have been obtained. For example, the recruited sample of patients with Alzheimer dementia have reached a basis […]

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