Iterative sampling involves a process whereby researchers move back and forth between selecting cases for data collection and engaging in a preliminary analysis of the cases sampled.
The idea is that what emerges from data analysis will shape subsequent sampling decisions.
The process of iterative sampling and analysis continues until researchers reach saturation - when no new information or new themes are emerging from data analysis.
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