Problem areas of determining the sample size in qualitative research: A model proposal

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dc.authorid0000-0001-8383-1464en_US
dc.authorid0000-0001-7078-7396en_US
dc.authorid0000-0002-2022-9342en_US
dc.contributor.authorTutar, Hasan
dc.contributor.authorŞahin, Mehmet
dc.contributor.authorSarkhanov, Teymur
dc.date.accessioned2024-07-31T07:21:03Z
dc.date.available2024-07-31T07:21:03Z
dc.date.issued2024en_US
dc.departmentBAİBÜ, İletişim Fakültesi, Halkla İlişkiler ve Tanıtım Bölümüen_US
dc.description.abstractPurposeThe lack of a definite standard for determining the sample size in qualitative research leaves the research process to the initiative of the researcher, and this situation overshadows the scientificity of the research. The primary purpose of this research is to propose a model by questioning the problem of determining the sample size, which is one of the essential issues in qualitative research. The fuzzy logic model is proposed to determine the sample size in qualitative research.Design/methodology/approachConsidering the structure of the problem in the present study, the proposed fuzzy logic model will benefit and contribute to the literature and practical applications. In this context, ten variables, namely scope of research, data quality, participant genuineness, duration of the interview, number of interviews, homogeneity, information strength, drilling ability, triangulation and research design, are used as inputs. A total of 20 different scenarios were created to demonstrate the applicability of the model proposed in the research and how the model works.FindingsThe authors reflected the results of each scenario in the table and showed the values for the sample size in qualitative studies in Table 4. The research results show that the proposed model's results are of a quality that will support the literature. The research findings show that it is possible to develop a model using the laws of fuzzy logic to determine the sample size in qualitative research.Originality/valueThe model developed in this research can contribute to the literature, and in any case, it can be argued that determining the sample volume is a much more effective and functional model than leaving it to the initiative of the researcher.en_US
dc.identifier.citationTutar, H., Şahin, M., & Sarkhanov, T. (2024). Problem areas of determining the sample size in qualitative research: a model proposal. Qualitative Research Journal, 24(3), 315-336.en_US
dc.identifier.doi10.1108/QRJ-06-2023-0099
dc.identifier.endpage336en_US
dc.identifier.issn1443-9883
dc.identifier.issn1448-0980
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-85174678585en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage315en_US
dc.identifier.urihttp://dx.doi.org/10.1108/QRJ-06-2023-0099
dc.identifier.urihttps://hdl.handle.net/20.500.12491/12295
dc.identifier.volume24en_US
dc.identifier.wosWOS:001090953600001en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorTutar, Hasan
dc.language.isoenen_US
dc.publisherEmerald Group Publishing Ltden_US
dc.relation.ispartofQualitative Research Journalen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectQualitative Researchen_US
dc.subjectFuzzy Logicen_US
dc.subjectSample Sizeen_US
dc.subjectData Saturationen_US
dc.subjectMetasynthesisen_US
dc.subjectInformationen_US
dc.titleProblem areas of determining the sample size in qualitative research: A model proposalen_US
dc.typeArticleen_US

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