A Software-Assisted Qualitative Content Analysis of News Articles: Example and Reflections

Florian Kaefer, Juliet Roper, Paresha Sinha

Abstract


This article offers a step-by-step description of how qualitative data analysis software can be used for a qualitative content analysis of newspaper articles. Using NVivo as an example, it illustrates how software tools can facilitate analytical flexibility and how they can enhance transparency and trustworthiness of the qualitative research process. Following a brief discussion of the key characteristics, advantages and limitations of qualitative data analysis software, the article describes a qualitative content analysis of 230 newspaper articles, conducted to determine international media perceptions of New Zealand's environmental performance in connection with climate change and carbon emissions. The article proposes a multi-level coding approach during the analysis of news texts that combines quantitative and qualitative elements, allowing the researcher to move back and forth in coding and between analytical levels. The article concludes that while qualitative data analysis software, such as NVivo, will not do the analysis for the researcher, it can make the analytical process more flexible, transparent and ultimately more trustworthy.

URN: http://nbn-resolving.de/urn:nbn:de:0114-fqs150283


Keywords


qualitative content analysis; method; news articles; NVivo software; qualitative data analysis software (QDAS); computer-assisted qualitative data analysis (CAQDAS)

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DOI: http://dx.doi.org/10.17169/fqs-16.2.2123

Copyright (c) 2015 Florian Kaefer, Juliet Roper, Paresha Sinha

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This work is licensed under a Creative Commons Attribution 4.0 International License.