Skip to main content
Login
  1. Home
  2. The Field Guide to Mixing Social and Biophysical Methods in Environmental Research
  3. 37. Q method
Open Book Publishers

Q method

  • Eric Nost(author)
Chapter of: The Field Guide to Mixing Social and Biophysical Methods in Environmental Research(pp. 535–542)
  • Export Metadata
  • Metadata
  • Locations
  • Contributors
  • References

Export Metadata

Metadata
Title Q method
ContributorEric Nost(author)
DOIhttps://doi.org/10.11647/obp.0418.37
Landing pagehttps://www.openbookpublishers.com/books/10.11647/obp.0418/chapters/10.11647/obp.0418.37
Licensehttps://creativecommons.org/licenses/by-nc/4.0/
CopyrightEric Nost;
PublisherOpen Book Publishers
Published on2025-02-25
Long abstract

Q is a survey-based method in which researchers employ quantitative and qualitative techniques to characterize the different ways of thinking about a topic that exist. It provides a “bottom-up” approach to classifying the social world, as the researcher must induce meaning out of participants’ choices about how to rank order survey statements. To aid in this, Q studies are typically paired with other methods such as interviews. There are several analytical challenges to be aware of in using Q method, including whether it alone can support claims about how prevalent a shared perspective is and whether it provides “unbiased” results.

Page rangepp. 535–542
Print length8 pages
LanguageEnglish (Original)
Locations
Landing PageFull text URLPlatform
PDFhttps://www.openbookpublishers.com/books/10.11647/obp.0418/chapters/10.11647/obp.0418.37Landing pagehttps://books.openbookpublishers.com/10.11647/obp.0418.37.pdfFull text URL
HTMLhttps://www.openbookpublishers.com/books/10.11647/obp.0418/chapters/10.11647/obp.0418.37Landing pagehttps://books.openbookpublishers.com/10.11647/obp.0418/ch37.xhtmlFull text URLPublisher Website
Contributors

Eric Nost

(author)
Associate Professor of Geography at University of Guelph
https://orcid.org/0000-0001-9320-072X
References
  1. Watts, S. and P. Stenner. 2005. ‘Doing Q methodology: Theory, method and interpretation’, Qualitative Research in Psychology, 2, pp. 67–91 https://doi.org/10.1191/1478088705qp022oa. This is a substantial primer on Q method, providing a very helpful discussion of how and why to use it. Although written for psychologists, the authors’ thoughts on developing a sample of statements, recruiting participants, conducting sorts, and analysing results will resonate with social scientists.
  2. Doel, M., Chapter 44, this volume. ‘Textual analysis’.
  3. Webler, T., S. Danielson, and S. Tuler. 2009. ‘Using Q method to reveal social perspectives in environmental research’, Social and Environmental Research Institute, https://www.betterevaluation.org/sites/default/files/Qprimer.pdf. Another substantial primer on Q method, with a specific focus on environmental social science.
  4. The Q-Method Testing and Inquiry Platform (Q-TIP), https://qtip.geography.wisc.edu/#/ provides researchers a way of designing and sharing Q surveys online and asynchronously.
  5. The qmethod package for the R statistical software helps researchers process and analyse Q sort data, https://cran.r-project.org/package=qmethod
  6. Hawthorne, T., J. Krygier, and M.-P. Kwan. 2008. ‘Mapping ambivalence: Exploring the geographies of community change and rails-to-trails development using photo-based Q method and PPGIS’, Geoforum, 39.2, pp. 1058–1078. https://doi.org/10.1016/j.geoforum.2007.11.006
  7. Johnston, L. and Longhurst, R., Chapter 32, this volume. ‘Interviews: Structured, semi-structured and open-ended’.
  8. Nost, E., M. Robertson, and R. Lave. 2019. ‘Q-method and the performance of subjectivity: Reflections from a survey of US stream restoration practitioners’, Geoforum, 105, pp. 23–31. https://doi.org/10.1016/j.geoforum.2019.06.004
  9. Robbins, P. and R. Krueger. 2000. ‘Beyond bias? The promise and limits of Q method in human geography’, The Professional Geographer, 52.4, pp. 636–648. https://doi.org/10.1111/0033-0124.00252
  10. Sneegas, G. 2019. ‘Making the case for critical Q methodology’, The Professional Geographer, 72.1, pp. 78–87. https://doi.org/10.1080/00330124.2019.1598271
  11. Zook, M., S. Barocas, D. Boyd, K. Crawford, E. Keller, S.P. Gangadharan, A. Goodman, R. Hollander, B.A. Koenig, J. Metcalf, A. Narayanan, A. Nelson, and F. Pasquale. 2017. ‘Ten simple rules for responsible big data research’, ed. F. Lewitter. PLOS Computational Biology, 13.3, p. e1005399. https://doi.org/10.1371/journal.pcbi.1005399

Export Metadata

UK registered social enterprise and Community Interest Company (CIC).

Company registration 14549556

Metadata

  • By book
  • By publisher
  • GraphQL API
  • Export API

Resources

  • Downloads
  • Videos
  • Merch
  • Presentations
  • Service status

Contact

  • Email
  • Bluesky
  • Mastodon
  • Github

Copyright © 2026 Thoth Open Metadata. Except where otherwise noted, content on this site is licensed under a Creative Commons Attribution 4.0 International license.