- Record: found
- Abstract: not found
- Article: not found
Predicting data saturation in qualitative surveys with mathematical models from ecological research
February 2017
February 2017
There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.
Abstract
Sample size in surveys with open-ended questions relies on the principle of data saturation.
Determining the point of data saturation is complex because researchers have information
on only what they have found. The decision to stop data collection is solely dictated
by the judgment and experience of researchers. In this article, we present how mathematical
modeling may be used to describe and extrapolate the accumulation of themes during
a study to help researchers determine the point of data saturation.