Nothing
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.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Kam Wong [aut, cph] (<https://orcid.org/0000-0003-1898-7678>), Desi Quintans [cre, aut, cph] (<https://orcid.org/0000-0003-3356-0293>) |
| Maintainer | Desi Quintans <science@desiquintans.com> |
| License | MIT + file LICENSE |
| Version | 0.13.1 |
| URL | https://github.com/DesiQuintans/novelqualcodes |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the novelqualcodes package in your browser
Any scripts or data that you put into this service are public.
