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. For
context, see Wong et al., (2023) <doi:10.1177/16094069231220773>.
| Version: |
0.13.5 |
| Depends: |
R (≥ 3.4.0) |
| Imports: |
readxl, naturalsort, ggplot2, ggpattern, utils |
| Suggests: |
knitr, rmarkdown |
| Published: |
2025-10-30 |
| DOI: |
10.32614/CRAN.package.novelqualcodes |
| Author: |
Kam Wong  [aut,
cph],
Desi Quintans
[cre, aut, cph] |
| Maintainer: |
Desi Quintans <science at desiquintans.com> |
| BugReports: |
https://github.com/DesiQuintans/novelqualcodes/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/DesiQuintans/novelqualcodes |
| NeedsCompilation: |
no |
| Materials: |
README, NEWS |
| CRAN checks: |
novelqualcodes results |
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