Assessing the time required for qualitative analysis: A comparative methodological study of coding interview data in health services research Article Swipe
Charlotte Ullrich
,
Michel Wensing
,
Nadja Klafke
,
Thomas Fleischhauer
,
Sabrina Brinkmöller
,
Regina Poß-Doering
,
Christine Arnold
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1055/a-2512-8004
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1055/a-2512-8004
A reliable estimation of required resources is essential for sound research. So far, there have only been a few studies on researchers’ time investment in qualitative studies. The aim of this study, therefore, was to provide an empirical account of the estimation of timescales of qualitative analysis. In this methodological study, time expenditure was documented and compared for the focused coding of transcripts of semi-structured interviews within five qualitative studies in health services research. Data were analyzed descriptively by means of absolute frequencies. Across studies, focused coding was assessed in 94 interviews with a total interview duration of 52 hours and 44 minutes. The number of interviews per study ranged from n=11 to n=27, with a mean duration of 36 minutes. Total coding time amounted to 76 hours, with a mean of 32 min per interview. Coding time per interview time ratio ranged from 0.75 to 1.52 minutes. On average, the time spent on focused coding roughly corresponds to the duration of the interviews. Focused coding tended to get quicker over time, though variation among studies was high. The results of this study provide a reference for estimating timescales of qualitative analysis and highlights the importance of considering factors such as composition of data and researchers’ experience and involvement. In a specific research project, this effort must be balanced against the objective of the analysis, including the desired accuracy, detail and depth. Further research is needed to specify how specific parameters (i. e. nature of the study population, method of data analysis and use of concepts and theories) affect coding in qualitative analysis.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1055/a-2512-8004
- http://www.thieme-connect.de/products/ejournals/pdf/10.1055/a-2512-8004.pdf
- OA Status
- hybrid
- References
- 34
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4409423358
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4409423358Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1055/a-2512-8004Digital Object Identifier
- Title
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Assessing the time required for qualitative analysis: A comparative methodological study of coding interview data in health services researchWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-04-14Full publication date if available
- Authors
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Charlotte Ullrich, Michel Wensing, Nadja Klafke, Thomas Fleischhauer, Sabrina Brinkmöller, Regina Poß-Doering, Christine ArnoldList of authors in order
- Landing page
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https://doi.org/10.1055/a-2512-8004Publisher landing page
- PDF URL
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https://www.thieme-connect.de/products/ejournals/pdf/10.1055/a-2512-8004.pdfDirect link to full text PDF
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://www.thieme-connect.de/products/ejournals/pdf/10.1055/a-2512-8004.pdfDirect OA link when available
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Coding (social sciences), Qualitative research, Duration (music), Population, Data collection, Psychology, Qualitative property, Statistics, Medicine, Mathematics, Sociology, Environmental health, Social science, Literature, ArtTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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34Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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