2020-05-01
Tools for Collecting a Concourse and Selecting a Q Sample
Publication
Publication
Operant Subjectivity , Volume 41 - Issue 1 p. 17- 47
As Q methodology matures, Q scholars have witnessed the development of tools for Q sorting and factor analyzing Q sorts. Regarding concourse statements, however, some scholars failed even to mention how they constructed the concourse in their research. Gleaning concourse statements and sampling from the statements requires persistent efforts from Q researchers. Software for these tasks could lead to more effective Q studies. To expand Q as a tool for solving urgent problems in society or as a pedagogical tool in the classroom, Q researchers need to implement their Q studies with swiftness. Researchers may need a tool to accelerate the entire process. This article describes MarginNote 3 for Mac users, QDAMiner Lite for PC users, Dedoose for web users, and Weava extension for Google Chrome web browser users. These tools, including iThoughtsX, quickly categorize statements into themes. Q researchers are able to tap text mining algorithms like LDA (Latent Dirichlet Allocation) and R's widyr package thus quickly revealing aspects of a topic that may have been neglected or missed and retrieve statements that represent those same aspects.
| Additional Metadata | |
|---|---|
| concourse construction, facilitation, Q methodology, Q sampling, software | |
| dx.doi.org/10.15133/j.os.2019.010 | |
| Operant Subjectivity | |
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Byung Lee. (2020). Tools for Collecting a Concourse and Selecting a Q Sample. Operant Subjectivity, 41(1), 17–47. doi:10.15133/j.os.2019.010
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