Abstract
Q is a methodology to explore the distinct subjective perspectives that exist within a group. It is used increasingly across disciplines. The methodology is semi-qualitative and the data are analysed using data reduction methods to discern the existing patterns of thought. This package is the first to perform Q analysis in R, and it provides many advantages to the existing software: namely, it is fully cross-platform, the algorithms can be transparently examined, it provides results in a clearly structured and tabulated form ready for further exploration and modelling, it produces a graphical summary of the results, and it generates a more concise report of the distinguishing and consensus statements. This paper introduces the methodology and explains how to use the package, its advantages as well as its limitations. I illustrate the main functions with a dataset on value patterns about democracy.
Cite
CITATION STYLE
Zabala, A. (2014). Qmethod: A package to explore human perspectives using Q methodology. R Journal, 6(2), 163–173. https://doi.org/10.32614/rj-2014-032
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.