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qfactor: A command for Q-methodology analysis

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  • Noori Akhtar-Danesh

    (McMaster University)

Abstract

In this article, I introduce qfactor, a new command for Q-methodology analysis. Q-methodology is a combination of qualitative and quantitative tech- niques for studying subjectivity. Its quantitative component is based on a by- person factor analysis, usually followed by a factor-rotation technique. Currently, only a handful of programs with limited capability are available for Q-methodology analysis, and none of them are in the major commercial statistical programs such as Stata, SPSS, and SAS. qfactor offers an attractive set of options, including different factor-extraction and factor-rotation techniques in Stata. The use of qfactor is illustrated using a dataset representing 40 individuals’ perceptions on marijuana legalization.

Suggested Citation

  • Noori Akhtar-Danesh, 2018. "qfactor: A command for Q-methodology analysis," Stata Journal, StataCorp LP, vol. 18(2), pages 432-446, June.
    • Handle: RePEc:tsj:stataj:v:18:y:2018:i:2:p:432-446
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    Cited by:

    1. Tyllianakis, Emmanouil, 2024. "Assessing the Landscape Recovery Scheme in the UK: a Q methodology study in Yorkshire, UK," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 13(1), May.
    2. Håkan Berg & Simon Dang & Nguyen Thanh Tam, 2023. "Assessing Stakeholders’ Preferences for Future Rice Farming Practices in the Mekong Delta, Vietnam," Sustainability, MDPI, vol. 15(14), pages 1-15, July.
    3. Karalliyadda, S.M.C.B. & Kazunari, Tsuji & Fujimura, Miho, 2023. "Managing rain-fed uplands of cascaded tank village systems: What stakeholders really suggest?," Agricultural Systems, Elsevier, vol. 208(C).
    4. Lumumba, Brian Omondi & Otieno, David Jakinda & Nyikal, Rose Adhiambo, 2024. "Exploring farmers’ perspectives on desert locust management in Kenya: a comparison of Q and R-methodologies," IAAE 2024 Conference, August 2-7, 2024, New Delhi, India 344320, International Association of Agricultural Economists (IAAE).
    5. Röös, E. & Wood, A. & Säll, S. & Abu Hatab, A. & Ahlgren, S. & Hallström, E. & Tidåker, P. & Hansson, H., 2023. "Diagnostic, regenerative or fossil-free - exploring stakeholder perceptions of Swedish food system sustainability," Ecological Economics, Elsevier, vol. 203(C).

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