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Data saturation is the situation in which the data has been heard before. For example, a reseacher might interview 23 people that all had the same experience (same disease, same job, same lifestyle, etc.), if the researcher only interviews a few people, their personal nuances and characteristics will color the findings. On the other hand, there is no need to continue interviewing people once the researcher finds that further interviews are not adding to the findings or repeating what was already found in the previous interviews.

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Q: What is data saturation?
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