Saturation
The point in qualitative research where gathering new data no longer yields new insights or themes.
What is Saturation?
Saturation is a methodological principle used to determine when data collection or analysis can stop. It occurs when further sampling, interviews, or observations produce redundant information, and no new codes, categories, or theoretical understandings emerge from the data.
Why Saturation Matters
Saturation is the gold standard for justifying sample size in qualitative research. Achieving saturation assures researchers and reviewers that the phenomenon has been thoroughly explored and that the findings are comprehensive and robust.
Example
After conducting 25 interviews with startup founders about failure, the researcher notices that the last 5 interviews provided no new reasons for failure beyond what was already coded. They conclude they have reached saturation and stop recruiting participants.
Common Mistakes
- Claiming saturation based on an arbitrary, predetermined number of interviews without demonstrating that new themes actually stopped emerging.
- Confusing saturation with simply hearing the same specific story twice, rather than recognizing that no new conceptual categories are developing.