Open AccessData Saturation: The Mysterious Step In Grounded Theory Method
Author(s) -
Khaldoun Aldiabat,
Carole-Lynne Le Navenec
Publication year - 2018
Publication title -
the qualitative report
Language(s) - English
Resource type - Journals
ISSN - 2160-3715
DOI - 10.46743/2160-3715/2018.2994
Subject(s) - grounded theory , credibility , theoretical sampling , dependability , qualitative research , saturation (graph theory) , transferability , data collection , computer science , qualitative property , sociology , epistemology , mathematics , statistics , social science , machine learning , philosophy , software engineering , logit , combinatorics
The aim of this paper is to provide a discussion that is broad in both depth and breadth, about the concept of data saturation in Grounded Theory. It is expected that this knowledge will provide a helpful resource for (a) the novice researcher using a Grounded Theory approach, or for (b) graduate students currently enrolled in a qualitative research course, and for (c) instructors who teach or supervise qualitative research projects. The following topics are discussed in this paper: (1) definition of data saturation in Grounded Theory (GT); (2) factors pertaining to data saturation; (3) factors that hinder data saturation; (4) the relationship between theoretical sampling and data saturation; (5) the relationship between constant comparative and data saturation; and (6) illustrative examples of strategies used during data collection to maximize the components of rigor that Yonge and Stewin (1988) described as Credibility, Transferability or Fittingness, Dependability or Auditability, and Confirmability.