Sample size in qualitative data analysis doesn't work in quite the same way as quantitative analysis. In quantitative analysis there is a rhetorical / formulae way of taking out the appropriate sample size for a confidence level.
In qualitative analysis, Individual subjects are more complex (e.g. an interview rather than a set of variable values) and it depends how complex an analysis you are trying to create (e.g. as measured by the number of themes or categories identified within the data).
Whats more important to look for is saturation - where adding new data does not improve the explanations of the themes or the categories or add any new ones. That is when you should stop.
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