Are We There Yet - Data Saturation in Qualitative Research (TQR Published).pdf

By Lawrence R. Ness, Patricia Fusch. 2015

218 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/39cebd60e05ffaadaab42a22b183d73bf0ade319

Citations in the corpus

• ‘Define, Explain, Justify, Apply’ (DEJA): An analytic tool for guiding qualitative research sample size (2021, unknown): “…identification of factors that one would encounter in conducting a qualitative design, which would eventually influence the sample size (Dey, 1999; Fusch & Ness, 2015; Gilad, 2019; Guest et al., 2006; Morgan, 2018; Malterud et al., 2015; Morse, 2000, 2003; Queirós et al., 2017; Young & Casey,…”
• Characterising and justifying sample size sufficiency in interview-based studies: systematic analysis of qualitative health research over a 15-year period (2018, unknown): “Alongside the expansion of its meaning, being variously equated with ‘no new data’, ‘no new themes’, and ‘no new codes’, saturation has emerged as the ‘gold standard’ in qualitative inquiry [2, 26].”
• Saturation controversy in qualitative research: Complexities and underlying assumptions. A literature review (2020, unknown): “Putting more emphasis on the paradox, Fusch and Ness (2015) portend that qualitative researchers often find themselves in conundrum on how to address questions such as, what is saturation.”