Applying a mixed methods design to test saturation for qualitative data in health outcomes research.

ABSTRACT: Saturation, a core concept in qualitative research, suggests when data collection might end. It is reached when no new relevant information emerges with additional interviews. The aim of this research was to explore whether a mixed methods design could contribute to the demonstration of saturation. Firstly, saturation was conceptualized mathematically using set theory. Secondly, a conversion mixed design was conducted: a set of codes derived from qualitative interviews were quantitized and analyzed using partial least squares (PLS) regression to document whether saturation was reached. A qualitative study conducted by other researchers prior to this work (i.e. none of the present authors was involved in this study) was used to test saturation using PLS regression. This illustrative qualita

SUBMITTER: Fofana F 

PROVIDER: S-EPMC7304618 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature