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Cited by 405

The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.

Qualitative data analysis: conceptual and practical considerations

Liamputtong, Pranee·2009·Health Promotion Journal of Australia

Abstract

Qualitative inquiry requires that collected data is organised in a meaningful way, and this is referred to as data analysis. Through analytic processes, researchers turn what can be voluminous data into understandable and insightful analysis. This paper sets out the different approaches that qualitative researchers can use to make sense of their data including thematic analysis, narrative analysis, discourse analysis and semiotic analysis and discusses the ways that qualitative researchers can analyse their data. I first discuss salient issues in performing qualitative data analysis, and then proceed to provide some suggestions on different methods of data analysis in qualitative research. Finally, I provide some discussion on the use of computer-assisted data analysis.

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Metadata

Authors
Liamputtong, P.
Venue
Health Promotion Journal of Australia
Published
2009
Volume
20
Issue
2
Pages
133-139
ISSN
  • 1036-1073 (ISSN-L)
  • 2201-1617
OpenAlex
W1654862932
Cited by
405
References
43
FWCI
35.21
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Qualitative data analysis: conceptual and practical considerations. https://app.cochat.ai/papers/10.1071/he09133
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Liamputtong, P. (2009). Qualitative data analysis: conceptual and practical considerations. Health Promotion Journal of Australia. https://doi.org/10.1071/he09133

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.