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Choosing Qualitative Data Analysis Software: Atlas/ti and Nudist Compared

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  • Christine A. Barry

Abstract

Choosing between Nudist and Atlas/ti, the main qualitative data analysis software packages can be difficult. To assist researchers in making this choice, I have conceptualised their differences along two dimensions, related to the qualities of the software and of the research project. The software dimension is structural design, and the project dimension is complexity. Software structure is dichotomised between structured, sequential, verbal versus visual, spatial, interconnected modes of operation. Projects are dichotomised between homogeneous sample, short timeframe, single data-type, single data analyst; versus multiple samples, longitudinal data, multiple data types and team data analysis. First I review the CAQDAS literature. Then I outline the different personalities and strengths of Atlas/ti and Nudist, and show how they match these dimensions. I offer suggestions as to how to choose, and whether to use in tandem with complementary conceptual network software.

Suggested Citation

  • Christine A. Barry, 1998. "Choosing Qualitative Data Analysis Software: Atlas/ti and Nudist Compared," Sociological Research Online, , vol. 3(3), pages 16-28, September.
    • Handle: RePEc:sae:socres:v:3:y:1998:i:3:p:16-28
    DOI: 10.5153/sro.178
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    References listed on IDEAS

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    1. K. Buston, 1997. "NUD*IST in Action: Its use and its Usefulness in a Study of Chronic Illness in Young People," Sociological Research Online, , vol. 2(3), pages 39-51, September.
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    Cited by:

    1. Dentoni, Domenico & Peterson, H. Christopher, 2011. "Multi-Stakeholder Sustainability Alliances in Agri-Food Chains: A Framework for Multi-Disciplinary Research," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 14(5), pages 1-25, December.
    2. repec:dau:papers:123456789/2506 is not listed on IDEAS
    3. Sandip Mukhopadhyay & Rajen K. Gupta, 2014. "Survey of Qualitative Research Methodology in Strategy Research and Implication for Indian Researchers," Vision, , vol. 18(2), pages 109-123, June.
    4. Mauricio Marrone & Sascha Lemke & Lutz M. Kolbe, 2022. "Entity linking systems for literature reviews," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(7), pages 3857-3878, July.
    5. Lionel Garreau & Rodrigo Bandeira-De-Mello, 2008. "Possibilités et pièges liés à l'utilisation des logiciels dans le processus d'analyse au travers de la théorie enracinée," Post-Print halshs-00339851, HAL.
    6. Sandip Mukhopadhyay & Jason Whalley, 2022. "The emergence and evolution of a disruptive platform ecosystem: evidence from the Indian mobile services industry," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(2), pages 669-686, June.
    7. Neringa Kalpokas & Ivana Radivojevic, 2022. "Bridging the Gap Between Methodology and Qualitative Data Analysis Software: A Practical Guide for Educators and Qualitative Researchers," Sociological Research Online, , vol. 27(2), pages 313-341, June.
    8. Katie MacMillan & Shelley McLachlan, 1999. "Theory-Building with Nud.Ist: Using Computer Assisted Qualitative Analysis in a Media Case Study," Sociological Research Online, , vol. 4(2), pages 1-14, July.

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