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Qualitative Methods with Nvivo Software: A Practical Guide for Analyzing Qualitative Data
Open accessAbstract
From 1995–2016, there has been a 15-fold increase in qualitative scholarship in the social sciences, but the rigor and quality of published work has ranged widely. Little scholarship provides concrete, pragmatic explanations of (and directions regarding) the execution of systematic, high-rigor qualitative analysis. The present article guides the developing qualitative researcher through technical and procedural aspects of analyzing qualitative data with specific attention to reliability and rigor. Guidance addressing transcription, importing data, forming coding pairs, performing initial/open coding (examples of three types), determining core themes, systematic team-based coding, maintaining a data audit trail, creating a Numeric Content Analysis (NCA) table, and preparing work for publication is provided. Materials include several tables and figures that offer practical demonstrations on how to use Nvivo in data analysis. Transcription tips and outsourcing benefits and cautions are also offered. Altogether, the present article provides qualitative researchers practical guidance for executing multiple stages of qualitative analysis.
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“Data gathered from qualitative interviews were analyzed using NVivo (R1.7; Lumivero, Denver, CO), where ST, SP, and CZ inductively coded the transcripts using Braun & Clarke’s thematic analysis methodology [72]. SP, CZ, and ST independently coded four transcripts before meeting to develop a coding scheme.”
From Caregiver experiences of an integrative patient-centered digital health application for pediatric type 1 diabetes care: Findings from a pilot clinical trial (2025) · cites this paper as [72]
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Metadata
- Authors
- Allsop, D. B., Chelladurai, J. M., Kimball, E. R., Marks, L. D., & Hendricks, J. J.
- Affiliations
- Dalhousie University (CA)
- Brigham Young University (US)
- Corresponding author
- Allsop, David B.
- Venue
- Psych
- Publisher
- MDPI AG
- Published
- 2022-03-22
- Volume
- 4
- Issue
- 2
- Pages
- 142-159
- ISSN
- 2624-8611 (ISSN-L)
- OpenAlex
- W4293104574
- Cited by
- 302
- References
- 21
- Citations by year
- 2026: 96 · 2025: 117 · 2024: 54 · 2023: 30 · 2022: 5
- FWCI
- 111.12
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Psych (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Topics
- Social Sciences › Education › Qualitative Research Methods and Applications
- Social Sciences › Sociology and Political Science › Data Analysis and Archiving
- Social Sciences › General Social Sciences › Computational and Text Analysis Methods
- Keywords
- qualitative data analysis, coding, open coding, audit trail, transcription, research rigor, reliability statistics, manuscript preparation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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