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Does Sample Size Matter in Qualitative Research?: A Review of Qualitative Interviews in is Research
Abstract
This study examines 83 IS qualitative studies in leading IS journals for the following purposes: (a) identifying the extent to which IS qualitative studies employ best practices of justifying sample size; (b) identifying optimal ranges of interviews for various types of qualitative research; and (c) identifying the extent to which cultural factors (such as journal of publication, number of authors, world region) impact sample size of interviews. Little or no rigor for justifying sample size was shown for virtually all of the IS studies in this dataset. Furthermore, the number of interviews conducted for qualitative studies is correlated with cultural factors, implying the subjective nature of sample size in qualitative IS studies. Recommendations are provided for minimally acceptable practices of justifying sample size of interviews in qualitative IS studies.
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“Additionally, in alignment with criteria provided by Marshall, Cardon, Poddar, and Fontenot (2013), saturation was obtained when the coding frame remained constant and analytic memos provided no additional insight.”
From Methodological Deficiencies in the Expert Testimony of Forensic Accountants: A Qualitative Content Analysis of Judicial Statements Pertaining to Daubert Exclusions (2021) · cites this paper as Marshall, Cardon, Poddar, and Fontenot, 2013
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“The sample consists of 15 interviews, which according to Marshall et al. (2013), are sufficient for a limited-range study to develop a substantial yet informal model.”
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“Based on these findings, Marshall et al. (2013) recommended that, for a single case study, the number of interviewees should range between 15 and 30.”
BackgroundResultAn integrated framework for ensuring quality in qualitative case study research
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“Encoding large datasets manually requires multiple encoders and takes considerable time, which results in relatively small sample sizes (Marshall et al., 2013 ).”
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“Data collection cessation was informed by general qualitative sampling recommendations of 20 – 30 participants (Creswell & Poth, 2023; Marshall et al., 2013), information derived from similar empirical studies (Topkaya, 2015), and the data saturation concept developed by Glaser and Strauss (1999).”
Metadata
- Authors
- Marshall, B., Cardon, P., Poddar, A., & Fontenot, R.
- Affiliations
- Georgia College & State University (US)
- University of Southern California (US)
- Venue
- Journal of Computer Information Systems
- Publisher
- Informa UK Limited
- Published
- 2013-09
- Volume
- 54
- Issue
- 1
- Pages
- 11-22
- ISSN
- 0887-4417 (ISSN-L)
- 2380-2057
- OpenAlex
- W124963830
- Cited by
- 1,636
- References
- 0
- Citations by year
- 2026: 125 · 2025: 203 · 2024: 204 · 2023: 168 · 2022: 161 · 2021: 192 · 2020: 128 · 2019: 131 · 2018: 105 · 2017: 52 · 2016: 98 · 2015: 62 · 2014: 7
- FWCI
- 268.21
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Computer Information Systems (publishedVersion)
- Topics
- Social Sciences › Education › Qualitative Research Methods and Applications
- Social Sciences › Sociology and Political Science › Focus Groups and Qualitative Methods
- Social Sciences › Sociology and Political Science › Qualitative Research Methods and Ethics
- Keywords
- sample size justification, qualitative interviews, qualitative research rigor, information systems research, number of authors
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