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Characterising and justifying sample size sufficiency in interview-based studies: systematic analysis of qualitative health research over a 15-year period

TLDR
It is recommended that qualitative health researchers be more transparent about evaluations of their sample size sufficiency, situating these within broader and more encompassing assessments of data adequacy.
Abstract
Choosing a suitable sample size in qualitative research is an area of conceptual debate and practical uncertainty. That sample size principles, guidelines and tools have been developed to enable researchers to set, and justify the acceptability of, their sample size is an indication that the issue constitutes an important marker of the quality of qualitative research. Nevertheless, research shows that sample size sufficiency reporting is often poor, if not absent, across a range of disciplinary fields. A systematic analysis of single-interview-per-participant designs within three health-related journals from the disciplines of psychology, sociology and medicine, over a 15-year period, was conducted to examine whether and how sample sizes were justified and how sample size was characterised and discussed by authors. Data pertinent to sample size were extracted and analysed using qualitative and quantitative analytic techniques. Our findings demonstrate that provision of sample size justifications in qualitative health research is limited; is not contingent on the number of interviews; and relates to the journal of publication. Defence of sample size was most frequently supported across all three journals with reference to the principle of saturation and to pragmatic considerations. Qualitative sample sizes were predominantly – and often without justification – characterised as insufficient (i.e., ‘small’) and discussed in the context of study limitations. Sample size insufficiency was seen to threaten the validity and generalizability of studies’ results, with the latter being frequently conceived in nomothetic terms. We recommend, firstly, that qualitative health researchers be more transparent about evaluations of their sample size sufficiency, situating these within broader and more encompassing assessments of data adequacy. Secondly, we invite researchers critically to consider how saturation parameters found in prior methodological studies and sample size community norms might best inform, and apply to, their own project and encourage that data adequacy is best appraised with reference to features that are intrinsic to the study at hand. Finally, those reviewing papers have a vital role in supporting and encouraging transparent study-specific reporting.

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Citations
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Journal ArticleDOI

To saturate or not to saturate? Questioning data saturation as a useful concept for thematic analysis and sample-size rationales

TL;DR: It is argued that although the concepts of data-, thematic- or code-saturation, and even meaning-s saturation, are coherent with the neo-positivist, discovery-oriented, meaning excavation project of coding reliability types of TA, they are not consistent with the values and assumptions of reflexive TA.
Journal ArticleDOI

Sample sizes for saturation in qualitative research: A systematic review of empirical tests.

TL;DR: This paper conducted a systematic review of empirical studies that assess saturation in qualitative research in order to identify sample sizes for saturation, strategies used to assess saturation, and guidance we can draw from these studies.
Journal ArticleDOI

Sample sizes for saturation in qualitative research: A systematic review of empirical tests

TL;DR: This article conducted a systematic review of four databases to identify studies empirically assessing sample sizes for saturation in qualitative research, supplemented by searching citing articles and reference lists, and identified 23 articles that used empirical data or statistical modeling to assess saturation.

Supporting thinking on sample sizes for thematic analyses: A quantitative tool (vol 18, pg 669, 2015)

Ajb Fugard, +1 more
TL;DR: In this paper, the authors propose a tool to help users to decide what would be a useful sample size for their particular context when investigating patterns across participants, based on the expected population theme prevalence of the least prevalent themes.
Journal ArticleDOI

Lean Six Sigma and Industry 4.0 integration for Operational Excellence: evidence from Italian manufacturing companies

TL;DR: In this article, the authors investigated a possible integration between Lean Six Sigma (LSS) tools and principles and Industry 40 technologies, with the aim of developing a new pattern for operational excellence through the grounded theory methodology.
References
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Journal ArticleDOI

Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement

TL;DR: Moher et al. as mentioned in this paper introduce PRISMA, an update of the QUOROM guidelines for reporting systematic reviews and meta-analyses, which is used in this paper.
Book

Discovery of Grounded Theory: Strategies for Qualitative Research

TL;DR: The Discovery of Grounded Theory as mentioned in this paper is a book about the discovery of grounded theories from data, both substantive and formal, which is a major task confronting sociologists and is understandable to both experts and laymen.
Journal Article

Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement.

TL;DR: The QUOROM Statement (QUality Of Reporting Of Meta-analyses) as mentioned in this paper was developed to address the suboptimal reporting of systematic reviews and meta-analysis of randomized controlled trials.
Journal ArticleDOI

Three Approaches to Qualitative Content Analysis

TL;DR: The authors delineate analytic procedures specific to each approach and techniques addressing trustworthiness with hypothetical examples drawn from the area of end-of-life care.
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