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Answer: Data Saturation
In qualitative studies,the Data Saturation is the point at which all new information collected is redundant of information already collected.
What is Data Saturation?
- When no new information is found through data analysis, this is referred to as data saturation, and it alerts researchers that they may need to stop collecting data.
- A researcher can be relatively confident that additional data gathering would provide comparable results and serve to support emergent themes and conclusions when they say they are saturated.
- Researchers should describe how, when, and to what extent they reached data saturation when they can say that they have gathered enough data to accomplish their research goal.
- To achieve data saturation is crucial. It is obtained when there is enough data to duplicate the study, when it is no longer possible to gather more data, and when further coding is not practical.
- Data saturation can truly only be recognized after the event, once qualitative interviews have been conducted and data has been examined. However, market research is frequently organized, justified, and budgeted in advance.
- As a result, realistic sampling, good study design, well-designed research tools, and the reality of the project's commercial factors are all necessary for reaching data saturation in reality.
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