novelqualcodes: Visualise the Path to a Stopping Point in Qualitative Interviews Based on Novel Codes

In semi-structured interviews that use the 'framework' method, it is not always clear how refinements to interview questions affect the decision of when to stop interviews. The trend of 'novel' and 'duplicate' interview codes (novel codes are information that other interviewees have not previously mentioned) provides insight into the richness of qualitative information. This package provides tools to visualise when refinements occur and how that affects the trends of novel and duplicate codes. These visualisations, when used progressively as new interviews are finished, can help the researcher to decide on a stopping point for their interviews.

Version: 0.13.1
Depends: R (≥ 3.4.0)
Imports: readxl, naturalsort, ggplot2, ggpattern, utils
Suggests: knitr, rmarkdown
Published: 2024-02-08
DOI: 10.32614/CRAN.package.novelqualcodes
Author: Kam Wong ORCID iD [aut, cph], Desi Quintans ORCID iD [cre, aut, cph]
Maintainer: Desi Quintans <science at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: novelqualcodes results


Reference manual: novelqualcodes.pdf
Vignettes: A guided tour of the 'novelqualcodes' package


Package source: novelqualcodes_0.13.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): novelqualcodes_0.13.1.tgz, r-oldrel (arm64): novelqualcodes_0.13.1.tgz, r-release (x86_64): novelqualcodes_0.13.1.tgz, r-oldrel (x86_64): novelqualcodes_0.13.1.tgz
Old sources: novelqualcodes archive


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