Data Saturation: The Mysterious Step In Grounded Theory Method
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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.
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Final sampling follows theoretical data saturation principles.
“However, final sampling follows theoretical data saturation principles (100, 101).”
The study reached theoretical saturation within memos, the point at which no new insights emerged from additional data, and thus the interviews were concluded.
“During the later stages of analysis, we reached theoretical saturation within our memos, the point at which no new insights emerged from additional data, and thus the interviews were concluded [3, 52].”
From 'The plan is just survival': Data Work in Kenya and the Regime of Entrapment (2026) · cites this paper as [3]
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- Authors
- Aldiabat, K., & Le Navenec, C.-L.
- Affiliations
- University of New Brunswick (CA)
- University of Calgary
- Corresponding author
- Aldiabat, Khaldoun
- ORCID
- Aldiabat, Khaldoun
- Venue
- The Qualitative Report
- Publisher
- Nova Southeastern University
- Published
- 2018-01-26
- ISSN
- 1052-0147 (ISSN-L)
- 2160-3715
- OpenAlex
- W2784411250
- Cited by
- 222
- References
- 50
- Citations by year
- 2026: 32 · 2025: 18 · 2024: 40 · 2023: 23 · 2022: 11 · 2021: 35 · 2020: 44 · 2019: 13 · 2018: 6
- FWCI
- 79.40
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by-nc-sa
- Locations
- The Qualitative Report (publishedVersion, cc-by-nc-sa)
- NSUWorks (Nova Southeastern University) (submittedVersion, cc-by-nc-sa)
- Topics
- Social Sciences › Education › Qualitative Research Methods and Applications
- Social Sciences › Sociology and Political Science › Qualitative Research Methods and Ethics
- Social Sciences › Education › Educational Research and Methods
- Keywords
- data saturation, grounded theory, theoretical sampling, constant comparative method, qualitative research rigor, credibility, transferability, dependability, auditability, confirmability
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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