Maximum Variation Sampling
Maximum Variation Sampling is a purposive sampling technique that deliberately selects cases exhibiting the greatest diversity across key dimensions of a phenomenon to capture a full range of variations and identify central themes or patterns common to all instances.
231
Publications
10.4K
Citations
866
Authors
415
Institutions
Publications per year
2017–2026
125
Variants
Maximum Variation Purposive Sampling
231
How the internet affects patients' experience of cancer: a qualitative study
Sue Ziébland, Alison Chapple, Carol Dumelow et al. · BMJ · 2004 · 494 citations · Full text
Antonio Jesús Ramos‐Morcillo, César Leal‐Costa, José Enrique Moral García et al. · International Journal of Environmental Research and Public Health · 2020 · 386 citations · Full text
1–5 of 231
866
8
h-index
6
h-index
4
h-index
3
h-index
3
h-index
1–5 of 866
415
University of Oxford
Oxford, United Kingdom
12 h-index
36 publications
4.5K citations

Tehran University of Medical Sciences
Tehran, Iran
6 h-index
12 publications
300 citations
Iranshahr University
Iranshahr, Iran
6 h-index
11 publications
203 citations

The University of Queensland
Brisbane, Australia
6 h-index
16 publications
915 citations
Primary Health Care
Doha, Qatar
6 h-index
15 publications
3.6K citations
Harvard University
Cambridge, United States
5 h-index
9 publications
1.1K citations

McMaster University
Hamilton, Canada
5 h-index
18 publications
1.2K citations
University of Southampton
Southampton, United Kingdom
4 h-index
9 publications
284 citations
1–8 of 415
9 publications · 466 citations
9
h-index
8 publications · 236 citations
8
h-index
Repository · 8 publications · 367 citations
8
h-index
7 publications · 256 citations
7
h-index
4 publications · 146 citations
4
h-index
1–5