Literature DB >> 27670770

Code Saturation Versus Meaning Saturation: How Many Interviews Are Enough?

Monique M Hennink1, Bonnie N Kaiser2, Vincent C Marconi1,3.   

Abstract

Saturation is a core guiding principle to determine sample sizes in qualitative research, yet little methodological research exists on parameters that influence saturation. Our study compared two approaches to assessing saturation: code saturation and meaning saturation. We examined sample sizes needed to reach saturation in each approach, what saturation meant, and how to assess saturation. Examining 25 in-depth interviews, we found that code saturation was reached at nine interviews, whereby the range of thematic issues was identified. However, 16 to 24 interviews were needed to reach meaning saturation where we developed a richly textured understanding of issues. Thus, code saturation may indicate when researchers have "heard it all," but meaning saturation is needed to "understand it all." We used our results to develop parameters that influence saturation, which may be used to estimate sample sizes for qualitative research proposals or to document in publications the grounds on which saturation was achieved.

Entities:  

Keywords:  HIV/AIDS; USA; behavior; in-depth interviews; infection; methodology; qualitative; saturation

Mesh:

Year:  2016        PMID: 27670770      PMCID: PMC9359070          DOI: 10.1177/1049732316665344

Source DB:  PubMed          Journal:  Qual Health Res        ISSN: 1049-7323


  10 in total

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Authors:  Cicely Kerr; Annabel Nixon; Diane Wild
Journal:  Expert Rev Pharmacoecon Outcomes Res       Date:  2010-06       Impact factor: 2.217

2.  Sample Size in Qualitative Interview Studies: Guided by Information Power.

Authors:  Kirsti Malterud; Volkert Dirk Siersma; Ann Dorrit Guassora
Journal:  Qual Health Res       Date:  2016-07-10

3.  "Data were saturated . . . ".

Authors:  Janice M Morse
Journal:  Qual Health Res       Date:  2015-05

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Authors:  H Irene Hall; Kristen Mahle Gray; Tian Tang; Jianmin Li; Luke Shouse; Jonathan Mermin
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5.  Prevention of HIV-1 infection with early antiretroviral therapy.

Authors:  Myron S Cohen; Ying Q Chen; Marybeth McCauley; Theresa Gamble; Mina C Hosseinipour; Nagalingeswaran Kumarasamy; James G Hakim; Johnstone Kumwenda; Beatriz Grinsztejn; Jose H S Pilotto; Sheela V Godbole; Sanjay Mehendale; Suwat Chariyalertsak; Breno R Santos; Kenneth H Mayer; Irving F Hoffman; Susan H Eshleman; Estelle Piwowar-Manning; Lei Wang; Joseph Makhema; Lisa A Mills; Guy de Bruyn; Ian Sanne; Joseph Eron; Joel Gallant; Diane Havlir; Susan Swindells; Heather Ribaudo; Vanessa Elharrar; David Burns; Taha E Taha; Karin Nielsen-Saines; David Celentano; Max Essex; Thomas R Fleming
Journal:  N Engl J Med       Date:  2011-07-18       Impact factor: 91.245

6.  Sample size in qualitative research.

Authors:  M Sandelowski
Journal:  Res Nurs Health       Date:  1995-04       Impact factor: 2.228

7.  Vital signs: HIV prevention through care and treatment--United States.

Authors: 
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2011-12-02       Impact factor: 17.586

8.  What is an adequate sample size? Operationalising data saturation for theory-based interview studies.

Authors:  Jill J Francis; Marie Johnston; Clare Robertson; Liz Glidewell; Vikki Entwistle; Martin P Eccles; Jeremy M Grimshaw
Journal:  Psychol Health       Date:  2010-12

Review 9.  Sexual transmission of HIV according to viral load and antiretroviral therapy: systematic review and meta-analysis.

Authors:  Suzanna Attia; Matthias Egger; Monika Müller; Marcel Zwahlen; Nicola Low
Journal:  AIDS       Date:  2009-07-17       Impact factor: 4.177

10.  What about N? A methodological study of sample-size reporting in focus group studies.

Authors:  Benedicte Carlsen; Claire Glenton
Journal:  BMC Med Res Methodol       Date:  2011-03-11       Impact factor: 4.615

  10 in total
  337 in total

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Journal:  Health Aff (Millwood)       Date:  2018-11       Impact factor: 6.301

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Authors:  Joseph J Palamar; Patricia Acosta; Rachel Sutherland; Michele G Shedlin; Monica J Barratt
Journal:  Int J Drug Policy       Date:  2019-10-11

3.  In search of good care: the methodology of phenomenological, theory-oriented 'N=N case studies' in empirically grounded ethics of care.

Authors:  Guus Timmerman; Andries Baart; Frans Vosman
Journal:  Med Health Care Philos       Date:  2019-12

4.  Integrating micronutrient status assessment into the 2015-2016 Malawi Demographic and Health Survey: A qualitative evaluation.

Authors:  Elizabeth C Rhodes; Monique Hennink; Maria Elena D Jefferds; Anne M Williams; Parminder S Suchdev; Carine Mapango; Eunice Nyirenda; Glory Mshali; Katie Tripp
Journal:  Matern Child Nutr       Date:  2019-01       Impact factor: 3.092

5.  Caring for veterans in US civilian primary care: qualitative interviews with primary care providers.

Authors:  Bonnie M Vest; Jessica A Kulak; Gregory G Homish
Journal:  Fam Pract       Date:  2019-05-23       Impact factor: 2.267

6.  Use of EHR-Based Pediatric Quality Measures: Views of Health System Leaders and Parents.

Authors:  David M Hartley; Susannah Jonas; Daniel Grossoehme; Amy Kelly; Cassandra Dodds; Shannon M Alford; Elizabeth Shenkman; Jeff Simmons; L Charles Bailey; Hanieh Razzaghi; Levon H Utidjian; Jennifer McCafferty-Fernandez; F Sessions Cole; Jordan Smallwood; Lloyd N Werk; Kathleen E Walsh
Journal:  Am J Med Qual       Date:  2019-05-22       Impact factor: 1.852

7.  Understanding the Workflow of Home Health Care for Patients with Heart Failure: Challenges and Opportunities.

Authors:  Madeline R Sterling; Nicola Dell; Benedetta Piantella; Jacklyn Cho; Harveen Kaur; Emily Tseng; Fabian Okeke; Mikaela Brown; Peggy B K Leung; Ariel F Silva; Amy L Shaw; Lisa M Kern
Journal:  J Gen Intern Med       Date:  2020-06       Impact factor: 5.128

8.  Motivations for PrEP-Related Interpersonal Communication Among Women Who Inject Drugs: A Qualitative Egocentric Network Study.

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Journal:  Qual Health Res       Date:  2020-09-01

9.  Barriers and Facilitators of Palliative Care and Advance Care Planning in Adults With Congenital Heart Disease.

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10.  Understanding adolescent and parent acceptability and feasibility experience in a large Type 1 diabetes mellitus behavioural trial.

Authors:  D H Grossoehme; E Smith; D Standiford; N Morwessel; J Kichler; D M Maahs; K Driscoll; M Seid
Journal:  Diabet Med       Date:  2019-02-12       Impact factor: 4.359

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